# Rivery AI visibility in Data Engineering & ETL/ELT Pipelines

Canonical: https://devtune.ai/verticals/data-engineering-and-etl-elt-pipelines/rivery

[Website](https://rivery.io/)

Updated: 2026-10-20T23:42:11.389773+00:00
Prompts: 25
Runs: 6


## Platforms

- perplexity
- chatgpt-search
- google-ai-mode
- google-ai
- bing-copilot-search
- xai-search

Rank: 8
Total brands: 12
Measured responses: 150
Presence percent: 6.666666666666667
Share of voice percent: 1.8867924528301887
Average position: 14.692307692307692
Docs presence percent: 0
Blog presence percent: 2
Brand mention percent: 8.666666666666668


## Profile

Overview: Rivery is a cloud-native, fully managed SaaS ELT platform founded in 2019 and headquartered in New York. The platform enables data teams to extract data from 200+ sources, load it into cloud data warehouses, and transform it using SQL or Python—all without managing infrastructure. Its proprietary 'Logic Rivers' orchestration layer allows users to build conditional, end-to-end data workflows combining ingestion, transformation, and reverse ETL in a single visual interface. Pre-built Starter Kits, CDC replication, and a GenAI-powered Data Connector Agent round out the product. Rivery targets data engineers, analysts, and data leaders at mid-market and enterprise companies. In December 2024, Boomi acquired Rivery for an estimated $100M, rebranding the product as Boomi Data Integration while maintaining core functionality and the rivery.io domain.
Product summary: Rivery (now Boomi Data Integration) is a fully managed, cloud-native SaaS ELT platform that unifies data ingestion, SQL/Python transformation, workflow orchestration, CDC replication, and reverse ETL in a single no-code/low-code interface. Designed for data engineers, analysts, and data leaders, it eliminates infrastructure management while offering deep customizability through its Logic Rivers orchestration model, 200+ managed connectors, pre-built Starter Kits, and a GenAI-powered Data Connector Agent.


### Key capabilities

- Fully managed, serverless cloud ELT with 200+ native connectors
- Logic Rivers: modular, visual workflow orchestration with conditional logic, loops, and scheduling
- In-platform SQL and Python (DataFrame) transformations without additional infrastructure
- Change Data Capture (CDC) database replication to cloud warehouses
- Reverse ETL: sync warehouse data back into CRMs, marketing tools, and SaaS apps
- Pre-built Starter Kits and data model templates for rapid deployment
- DataOps management: multi-environment deployment, version rollback, RBAC, and pipeline monitoring
- GenAI-powered Data Connector Agent (Blueprint) for accelerated pipeline creation
- BDU credit-based consumption pricing with full visibility into usage



### Target users

- Data engineers building and maintaining ELT pipelines
- Data analysts needing self-service data access without API management
- Data leaders and BI managers overseeing team data operations
- Digital marketing agencies managing multi-client data pipelines
- Mid-market and enterprise companies modernizing to a cloud data stack
- IT and data teams at companies using Snowflake, BigQuery, Redshift, or Databricks



### Key use cases

- Centralizing marketing and advertising data from multiple platforms into a cloud warehouse
- Database replication and cloud migration via CDC
- Building end-to-end ELT pipelines for analytics and business intelligence reporting
- CRM data management and synchronization (Salesforce, HubSpot)
- Operational reverse ETL: enriching CRM or business tools with warehouse-derived insights
- AI and ML data pipeline preparation
- Cloud data lake ETL for consolidating disparate data sources

Integrations ecosystem: Rivery offers 200+ native managed connectors spanning databases (MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, SAP HANA, Redshift, BigQuery, Snowflake, Databricks, Azure Synapse), marketing platforms (Google Ads, Facebook Ads, LinkedIn Ads, TikTok, Snapchat, Pinterest), CRM and SaaS tools (Salesforce, HubSpot, Marketo, NetSuite, Zendesk, Shopify, Stripe), and file/storage sources (Amazon S3, Google Cloud Storage, Azure Blob, SFTP). A generic REST API connector allows custom source connections. Targets include Snowflake, BigQuery, Redshift, Databricks SQL, Azure Synapse, PostgreSQL, and Amazon S3. Cloud-platform partnerships exist with AWS, Google Cloud, Azure, Snowflake, Databricks, and Sigma Computing. The platform runs exclusively on AWS infrastructure. A CLI and API are available for programmatic pipeline management and CI/CD integration.
Pricing summary: Rivery uses a BDU (Boomi Data Unit, formerly RPU) credit-based consumption model. Pricing is calculated based on data volume (bytes processed) for database sources, or number of executions for API-based sources. Published rates cited by third-party sources include a Base/Starter tier at approximately $0.75–$0.90 per credit and a Professional tier at approximately $1.20 per credit. An Enterprise tier requires a custom sales quote. All plans include unlimited users, all 200+ connectors, unlimited SQL transformations, CDC, reverse ETL, and 24/7 support. Python transformations, high-frequency (5-minute) sync, SSO, and PrivateLink are restricted to Professional and Enterprise tiers. Following the Boomi acquisition, credits were rebranded from RPU to BDU; pricing structure remains largely consistent, but buyers should confirm current rates directly with Boomi.
Review summary: Rivery earns consistently strong user reviews, anchored by a 4.7/5 rating on G2 across approximately 120 reviews and an industry-leading support score of 9.4–9.8/10—the highest in the ETL tools category on G2. Reviewers frequently praise the flat learning curve, responsive support team, fast connector setup, and the Logic Rivers orchestration model. G2 awarded Rivery top positions in 'Easiest to Use,' 'Best Support,' and 'Easiest to Do Business With' categories in multiple 2024 Grid Reports. Common criticisms include pricing that can escalate with data volume, fewer direct connectors than some competitors, and occasional complexity in managing nested pipeline workflows via drag-and-drop. Post-acquisition, some users have noted uncertainty about future roadmap and pricing trajectory under Boomi.
Competitive positioning: Rivery (now Boomi Data Integration post-December 2024 acquisition) differentiates as an all-in-one, fully managed, cloud-native SaaS ELT platform that unifies data ingestion, SQL/Python transformation, workflow orchestration, CDC replication, and reverse ETL inside a single product—eliminating the need to stitch together point solutions. Its proprietary 'Logic Rivers' orchestration model, no-code/low-code interface, and consistently top-rated support (G2 support score 9.4–9.8/10, highest in the ETL category) appeal to lean data teams that need enterprise-grade flexibility without infrastructure burden. Compared with Fivetran, Rivery offers deeper orchestration and in-platform transformations; compared with dbt Labs, it covers ingestion and orchestration as well; compared with Hightouch/Census, it extends further upstream. Its BDU credit-based pricing positions it as lower-cost than legacy ETL vendors but higher than open-source alternatives such as Airbyte or Meltano.
Limitations: Platform runs exclusively on AWS, limiting multi-cloud flexibility. CDC replication is billed at 2x standard credit rates, increasing costs for high-change-volume databases. Python transformations are restricted to Professional and Enterprise tiers. Minimum sync frequency on the Base plan is 60 minutes (5 minutes on higher tiers), making true real-time streaming unavailable. The BDU credit model can produce unpredictable costs as data volumes scale. The December 2024 acquisition by Boomi introduces product roadmap uncertainty—including potential connector consolidation, pricing changes, and whether the highly rated support team retains its identity. The connector library (200+) is smaller than Fivetran's (700+). Some users note drag-and-drop rearrangement of complex pipeline steps can be cumbersome.


### Source urls

- https://rivery.io/
- https://www.calcalistech.com/ctechnews/article/h1eodtavjl
- https://www.crunchbase.com/organization/rivery-io
- https://app.dealroom.co/companies/rivery_io
- https://tracxn.com/d/companies/rivery/__unLG2jprZduNVisL-n9wg8Topn3y7j-LYpNQVBmlWJg
- https://www.integrate.io/blog/rivery-review/
- https://www.g2.com/products/rivery/reviews
- https://www.gartner.com/reviews/market/data-integration-tools/vendor/rivery/product/rivery
- https://rivery.io/blog/30m-series-b-funding-tiger-global/
- https://estuary.dev/etl-tools/matillion-vs-rivery/
- https://www.ynetnews.com/business/article/rkoiwelryg

Reviewed at: 2026-04-28T23:30:04.447+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Citizen Watch America | VP of Analytics Ranajay Nandy reported that Rivery's pre-built Starter Kits enabled the team to build initial data pipelines rapidly and meet project objectives quickly out of the gate. | Not available |
| Total Media | Data Engineer Team Lead Romilly Hills reported that connector build time dropped from two weeks to half a day after adopting Rivery. | 75% reduction in connector build time |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.7 | 5 | 120 | https://www.g2.com/products/rivery/reviews |
| PeerSpot | 4.3 | 5 | 2 | https://www.peerspot.com/products/rivery-pros-and-cons |



### Review themes



#### Praised

- Flat learning curve and ease of use
- Industry-leading, engineering-led support responsiveness
- Fast connector and pipeline setup
- Logic Rivers orchestration for end-to-end workflows
- Pre-built Starter Kits accelerate time-to-value
- Automatic schema management and incremental loads
- Continuous product improvement and new feature cadence
- Proactive connector maintenance (e.g., API change notifications)



#### Criticized

- Pricing can escalate unpredictably with data volume growth
- CDC replication billed at 2x standard credit rate
- Python transformations restricted to higher-tier plans
- Smaller connector library compared to Fivetran
- Drag-and-drop rearrangement of complex nested Rivers is cumbersome
- Some documentation gaps require support escalation
- Boomi acquisition raises product roadmap and pricing trajectory uncertainty
- Not suitable for true real-time streaming workloads




### Company facts

Founded year: 2019
Hq: New York, USA


#### Founders

- Itamar Ben Hemo
- Aviv Noy
- Alon Reznik
- Nimrod Madar

Employees range: 51-100
Total funding: $48M
Valuation: ~$100M (acquisition price, Dec 2024)
Arr: ~$21M
Customer count: 450+
Status: Acquired (Boomi, Dec 2024)


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Fivetran | 48 | 150 | 32 | 24.908571428571427 |
| Airbyte | 46 | 150 | 30.666666666666664 | 16.70344827586207 |
| Integrate.io | 29 | 150 | 19.333333333333332 | 28.86021505376344 |
| Dagster | 25 | 150 | 16.666666666666664 | 28.802816901408452 |
| dbt | 24 | 150 | 16 | 18.8135593220339 |
| Matillion | 19 | 150 | 12.666666666666668 | 26.74418604651163 |
| Hevo Data | 11 | 150 | 7.333333333333333 | 25.724137931034484 |
| Rivery | 10 | 150 | 6.666666666666667 | 14.692307692307692 |
| Meltano | 9 | 150 | 6 | 30.9375 |
| Astronomer | 8 | 150 | 5.333333333333334 | 41.642857142857146 |
| Hightouch | 3 | 150 | 2 | 24.642857142857142 |
| Census | 1 | 150 | 0.6666666666666667 | 41 |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| perplexity | 1 | 4 |
| chatgpt-search | 2 | 8 |
| google-ai-mode | 0 | 0 |
| google-ai | 0 | 0 |
| bing-copilot-search | 1 | 4 |
| xai-search | 6 | 24 |



## Strengths





## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which ELT platforms have the largest library of pre-built source connectors covering SaaS apps, databases, and event streams? | 5 |
| Which ETL tools have an open API and SDK so we can build custom connectors for internal data sources quickly? | 5 |
| What ETL platforms do analytics engineers prefer when they want SQL-based transformations with testing and documentation built in? | 4 |
| Looking for a data orchestration platform with a great local development workflow — which tools let you test DAGs or workflows locally before deploying? | 4 |
| What ELT platforms handle schema drift and evolving source schemas automatically without breaking existing pipelines? | 4 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 2 |
| Developer Experience | 5 | 0 |
| Integrations & Ecosystem | 5 | 1 |
| Performance & Reliability | 5 | 2 |
| Setup & First Run | 5 | 3 |



## Prompt results

- Prompt text: Which ELT platforms can sync billions of rows per day from a high-volume transactional database without impacting source system performance?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 27



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Fivetran | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Fivetran | 3 |



##### Google-ai-mode





##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Fivetran | 2 |
| Integrate.io | 10 |
| dbt | 18 |
| Matillion | 19 |
| Rivery | 27 |
| Airbyte | 62 |


- Prompt text: What ETL platforms do analytics engineers prefer when they want SQL-based transformations with testing and documentation built in?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| dbt | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| dbt | 1 |
| Airbyte | 18 |



##### Google-ai-mode





##### Google-ai

| Display name | Position |
| --- | --- |
| Fivetran | 2 |
| Integrate.io | 6 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Integrate.io | 1 |
| dbt | 3 |
| Matillion | 4 |


- Prompt text: What data pipeline tools handle late-arriving data and backfilling years of historical records reliably without manual intervention?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Dagster | 2 |



##### Chatgpt-search





##### Google-ai-mode





##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Integrate.io | 1 |
| dbt | 48 |
| Dagster | 61 |


- Prompt text: Which ELT platforms have the largest library of pre-built source connectors covering SaaS apps, databases, and event streams?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Airbyte | 3 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Airbyte | 2 |
| Meltano | 5 |
| Matillion | 7 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Airbyte | 3 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Integrate.io | 2 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Fivetran | 2 |
| Airbyte | 3 |
| Integrate.io | 32 |
| Matillion | 36 |


- Prompt text: What data orchestration tools have the best getting-started experience for a data engineer moving from manually scheduled SQL scripts?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 12



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Dagster | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Dagster | 1 |
| dbt | 5 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Airbyte | 3 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| dbt | 9 |
| Dagster | 11 |
| Rivery | 12 |
| Airbyte | 39 |


- Prompt text: Which data pipeline tools have the best observability and data lineage views so you can trace where a bad value came from?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| dbt | 5 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Fivetran | 1 |



##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Fivetran | 7 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Dagster | 6 |
| dbt | 9 |
| Integrate.io | 20 |


- Prompt text: Which ETL platforms have strong SLAs and automatic retry logic so data teams get alerted before business stakeholders notice pipeline delays?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Matillion | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Fivetran | 6 |
| Matillion | 9 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Dagster | 3 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Integrate.io | 2 |
| Fivetran | 6 |
| dbt | 25 |
| Astronomer | 32 |
| Matillion | 60 |
| Hevo Data | 79 |
| Dagster | 87 |


- Prompt text: Looking for a data orchestration platform with a great local development workflow — which tools let you test DAGs or workflows locally before deploying?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Dagster | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Dagster | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Dagster | 1 |
| Astronomer | 5 |



##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Airbyte | 3 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Astronomer | 6 |
| Dagster | 13 |
| dbt | 14 |


- Prompt text: Which open-source ETL tools can be self-hosted on a single VM and are easy to configure without deep infrastructure knowledge?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Meltano | 3 |
| Airbyte | 7 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Airbyte | 1 |
| Meltano | 13 |



##### Google-ai-mode





##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Airbyte | 2 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Integrate.io | 9 |
| Fivetran | 15 |
| Astronomer | 17 |
| Airbyte | 30 |
| Meltano | 50 |


- Prompt text: What ELT platforms handle schema drift and evolving source schemas automatically without breaking existing pipelines?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Airbyte | 3 |
| Matillion | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Airbyte | 4 |



##### Google-ai-mode





##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Airbyte | 3 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Integrate.io | 1 |
| Hevo Data | 3 |
| Fivetran | 6 |
| Airbyte | 16 |
| dbt | 28 |
| Matillion | 34 |


- Prompt text: Which data orchestration tools support complex multi-step pipelines with branching logic, sensors, and cross-team dependencies?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Dagster | 1 |



##### Chatgpt-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Dagster | 4 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Dagster | 2 |
| dbt | 14 |
| Fivetran | 28 |
| Astronomer | 33 |


- Prompt text: Which data pipeline platforms can a small data team of 2 get running with managed connectors for 20+ sources without building custom integrations?


#### Brand position by platform

Perplexity: 2
Chatgpt-search: 11
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Rivery | 2 |
| Airbyte | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Airbyte | 3 |
| Hevo Data | 7 |
| Rivery | 11 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Integrate.io | 3 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Integrate.io | 3 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Integrate.io | 2 |
| Matillion | 7 |
| Fivetran | 12 |
| Hevo Data | 13 |
| Airbyte | 42 |


- Prompt text: What data orchestration tools scale reliably to thousands of concurrent tasks without degrading scheduler performance?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Dagster | 3 |



##### Chatgpt-search





##### Google-ai-mode





##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Dagster | 10 |
| Matillion | 30 |
| Fivetran | 31 |
| Airbyte | 32 |


- Prompt text: Which data pipeline tools offer code-first transformation layers that data engineers can version-control and test like software?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| dbt | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| dbt | 3 |
| Dagster | 6 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| dbt | 1 |



##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Airbyte | 2 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Integrate.io | 4 |
| dbt | 5 |
| Matillion | 9 |
| Dagster | 15 |
| Fivetran | 16 |


- Prompt text: I need a reverse ETL tool to sync data warehouse segments back to a CRM and ad platforms — which platforms do this best?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: 2
Xai-search: 10



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Hightouch | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Hightouch | 1 |



##### Google-ai-mode





##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Rivery | 2 |



##### Xai-search

| Display name | Position |
| --- | --- |
| dbt | 4 |
| Rivery | 10 |
| Integrate.io | 12 |
| Hightouch | 30 |
| Census | 41 |


- Prompt text: What ETL platforms have built-in data quality checks and can alert the team when row counts or null rates deviate from expected ranges?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Fivetran | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| dbt | 5 |
| Fivetran | 9 |



##### Google-ai-mode





##### Google-ai

| Display name | Position |
| --- | --- |
| Integrate.io | 1 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Integrate.io | 4 |
| Fivetran | 24 |
| Matillion | 25 |
| dbt | 27 |
| Astronomer | 29 |


- Prompt text: What ELT platforms give data engineers the best debugging experience when a pipeline fails mid-run with partial data loaded?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Airbyte | 1 |
| Fivetran | 5 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Airbyte | 4 |
| Fivetran | 5 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Dagster | 1 |
| Airbyte | 4 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| dbt | 5 |
| Dagster | 10 |
| Integrate.io | 11 |
| Matillion | 22 |


- Prompt text: Looking for an orchestration platform that integrates with my existing transformation layer — which tools support running SQL models as pipeline steps?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Dagster | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Dagster | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| dbt | 1 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| dbt | 3 |
| Dagster | 6 |
| Astronomer | 24 |


- Prompt text: What data engineering platforms work well in a multi-cloud setup where sources span one cloud and the warehouse is on another?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Airbyte | 3 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Airbyte | 1 |
| Integrate.io | 6 |
| Fivetran | 9 |



##### Google-ai-mode





##### Google-ai

| Display name | Position |
| --- | --- |
| Dagster | 2 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Integrate.io | 2 |
| Airbyte | 22 |
| Fivetran | 32 |


- Prompt text: Which ETL tools have an open API and SDK so we can build custom connectors for internal data sources quickly?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Airbyte | 1 |
| Meltano | 3 |
| Fivetran | 5 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Airbyte | 1 |
| Fivetran | 4 |
| Meltano | 6 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Airbyte | 1 |
| Meltano | 4 |



##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Airbyte | 1 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Integrate.io | 3 |
| Airbyte | 8 |
| Fivetran | 21 |
| Astronomer | 34 |
| Meltano | 41 |


- Prompt text: What are the easiest ELT tools to get data flowing from a SaaS CRM into a cloud data warehouse in under a day with no custom code?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 38



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Hevo Data | 3 |
| Airbyte | 5 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Airbyte | 3 |
| Hevo Data | 5 |



##### Google-ai-mode





##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Hevo Data | 4 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Integrate.io | 2 |
| Fivetran | 24 |
| Hevo Data | 28 |
| Rivery | 38 |


- Prompt text: Which ELT platforms maintain low-latency incremental syncs so dashboards reflect source data within minutes rather than hours?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: 17
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Airbyte | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Airbyte | 5 |
| Hevo Data | 11 |
| Rivery | 17 |
| Fivetran | 19 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Airbyte | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Integrate.io | 4 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Fivetran | 2 |
| Integrate.io | 5 |
| Matillion | 7 |
| dbt | 43 |
| Airbyte | 48 |
| Hevo Data | 57 |


- Prompt text: What data pipeline tools integrate natively with major cloud data warehouses for automatic schema management and optimized load performance?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 39



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Airbyte | 3 |
| Matillion | 7 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Airbyte | 1 |
| Fivetran | 3 |



##### Google-ai-mode





##### Google-ai

| Display name | Position |
| --- | --- |
| Integrate.io | 1 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Matillion | 4 |
| Integrate.io | 7 |
| Rivery | 39 |


- Prompt text: I'm evaluating ETL platforms for a company starting its modern data stack — which tools are fastest to onboard and connect to a cloud warehouse?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Airbyte | 4 |
| Matillion | 7 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Fivetran | 1 |
| Airbyte | 5 |



##### Google-ai-mode





##### Google-ai

| Display name | Position |
| --- | --- |
| Integrate.io | 8 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Airbyte | 5 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Fivetran | 3 |
| Integrate.io | 8 |
| Hevo Data | 10 |
| Meltano | 15 |
| Matillion | 27 |
| Airbyte | 74 |


- Prompt text: Which data pipeline tools support real-time streaming ingestion alongside batch loads from the same platform?


#### Brand position by platform

Perplexity: Not available
Chatgpt-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 5



#### Platform rows



##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Fivetran | 4 |



##### Google-ai-mode





##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Airbyte | 4 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Integrate.io | 1 |
| Rivery | 5 |





## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://rivery.io/pricing/ | Rivery Pricing | rivery.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/379d7b0e-f19b-499b-90c3-90f3aade44ab/5ed604db661cc746290846d5682f571faac245a1.png | commercial | landing_page | 3 | 3 |
| https://rivery.io/product/ | Rivery Product Overview \| Complete SaaS ELT Platform | rivery.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/379d7b0e-f19b-499b-90c3-90f3aade44ab/5ed604db661cc746290846d5682f571faac245a1.png | commercial | product_page | 2 | 2 |
| https://docs.rivery.io/docs/database-river-modes-incremental | Rivery | docs.rivery.io | Not available | commercial | documentation | 2 | 2 |
| https://rivery.io/product/data-ingestion/ | Data Ingestion | rivery.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/379d7b0e-f19b-499b-90c3-90f3aade44ab/5ed604db661cc746290846d5682f571faac245a1.png | commercial | product_page | 1 | 1 |
| https://rivery.io/ | Cloud ELT Tool \| Data Pipeline & Integration Platform - Rivery | rivery.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/379d7b0e-f19b-499b-90c3-90f3aade44ab/5ed604db661cc746290846d5682f571faac245a1.png | commercial | listicle | 1 | 1 |
| https://rivery.io/data-learning-center/top-reverse-etl-tools/ | 9 Best Reverse ETL Tools Of 2025 Compared \| Rivery | rivery.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/379d7b0e-f19b-499b-90c3-90f3aade44ab/5ed604db661cc746290846d5682f571faac245a1.png | commercial | listicle | 1 | 1 |
| https://rivery.io/integration/ | Integrations Directory \| Rivery | rivery.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/379d7b0e-f19b-499b-90c3-90f3aade44ab/5ed604db661cc746290846d5682f571faac245a1.png | commercial | documentation | 1 | 1 |
| https://rivery.io/li-product/ | Rivery Product Overview \| Complete SaaS ELT Platform | rivery.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/379d7b0e-f19b-499b-90c3-90f3aade44ab/5ed604db661cc746290846d5682f571faac245a1.png | commercial | product_page | 1 | 1 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| Which ELT platforms have the largest library of pre-built source connectors covering SaaS apps, databases, and event streams? | google-ai-mode | [Weld.app] * * Rivery: 200+ pre-built connectors with strong orchestration and transformation capabilities built natively into the platform. |
| Which data pipeline platforms can a small data team of 2 get running with managed connectors for 20+ sources without building custom integrations? | google-ai-mode | Boomi Data Integration (formerly Rivery) : A cloud-native, fully managed orchestration and ELT platform with a rich built-in library of pre-packaged connectors for popular CRM, ERP, and marketing sources. |
| Which ELT platforms have the largest library of pre-built source connectors covering SaaS apps, databases, and event streams? | bing-copilot-search | ...ct, Load, Transform) for 2025 - SAP Savvy](https://sapsavvy.com/the-22-best-elt-tools-extract-load-transform-for-2025/) Rivery\| 200+ connectors\| Cloud-native ELT with orchestration; strong SaaS and database coverage\| Mid-sized companies needing or... |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| perplexity | Fivetran | Fivetran and Airbyte are the clearest leaders by published connector-library size. Both advertise 700+ connectors, with coverage across SaaS applications, databases, and event sources. |
| perplexity | Airbyte | Fivetran and Airbyte are the clearest leaders by published connector-library size. Both advertise 700+ connectors, with coverage across SaaS applications, databases, and event sources. |
| chatgpt-search | Fivetran | The ELT platforms with the broadest pre-built source connector libraries are Fivetran and Airbyte. |
| chatgpt-search | Airbyte | The ELT platforms with the broadest pre-built source connector libraries are Fivetran and Airbyte. |
| google-ai-mode | Fivetran | ...(Extract, Load, Transform) platforms, the market leaders with the largest and most robust libraries of pre-built source connectors—spanning SaaS applications, transactional/relational databases, and event/change streams—are Fivetran and Airbyte. |
| google-ai-mode | Airbyte | ...(Extract, Load, Transform) platforms, the market leaders with the largest and most robust libraries of pre-built source connectors—spanning SaaS applications, transactional/relational databases, and event/change streams—are Fivetran and Airbyte. |
| google-ai | Integrate.io | Integrate.io & Hevo Data * Connector Count: 150+ to 200+ pre-built connectors. |
| perplexity | Airbyte | The strongest options are Airbyte, Meltano/Singer, and Fivetran. They all support custom connectors, but differ in how much you want to build and how tightly you want to integrate with a managed platform: \| Tool \| Custom-connector path \| Best fit \|... |
| perplexity | Meltano | The strongest options are Airbyte, Meltano/Singer, and Fivetran. They all support custom connectors, but differ in how much you want to build and how tightly you want to integrate with a managed platform: \| Tool \| Custom-connector path \| Best fit \|... |
| chatgpt-search | Airbyte | ## Best ETL/ELT tools to evaluate ## 1. Airbyte Best overall for open connector development Airbyte offers an open-source platform, a programmatic API, and several connector-development options: a low-code YAML-based CDK, a Python CDK, and a visual... |
| google-ai-mode | Airbyte | Airbyte (with Python CDK) * * Overview: Airbyte is a massive data integration platform offering a robust open-source core. |
| bing-copilot-search | Airbyte | ...### 🔑 Open-Source ETL Tools with Connector SDKs Tool\| Connector Options\| SDK/API Support\| Best For ---\|---\|---\|--- Airbyte\| 700+ prebuilt connectors\| Connector Development Kit (CDK) in Python \+ no-code Connector Builder\| Teams needing fa... |



## Trend

Visibility delta: 2.2
Avg position delta: 7.666666666666666
Citation count delta: 5