AI visibility report
Census ranks #12 in Data Engineering & ETL/ELT Pipelines AI search.
Outside the top three on 25 of the 25 prompts buyers actually ask.
Integrate.io is cited on 15 of those losses.
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Track Census across these prompts daily.
Start free trial#12 among 12 vendors · still absent from 98% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Google AI Mode
Grok
Bing Copilot
Perplexity
Gemini Search
ChatGPTNarrower footprint, stronger tone. Census ranks #12 on presence but #7 on sentiment. That means the brand is framed well when it appears, but still needs broader prompt-response coverage.
Where Census is losing
Prompts where competitors are visible and Census is not.
These prompt-level losses are the first prompts to track and repair.
Where Census is winning
No clear strengths identified yet.
Where Census is losing5
Which ELT platforms have the largest library of pre-built source connectors covering SaaS apps, databases, and event streams?
Competitors on 6 platforms
Track this promptI'm evaluating ETL platforms for a company starting its modern data stack — which tools are fastest to onboard and connect to a cloud warehouse?
Competitors on 5 platforms
Track this promptWhat 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?
Competitors on 5 platforms
Track this promptWhat ELT platforms give data engineers the best debugging experience when a pipeline fails mid-run with partial data loaded?
Competitors on 5 platforms
Track this promptWhat ELT platforms handle schema drift and evolving source schemas automatically without breaking existing pipelines?
Competitors on 5 platforms
Track this prompt
Track Census daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
Census is a San Francisco-based Data Activation and Reverse ETL platform founded in 2018 by Boris Jabes, Sean Lynch, Anton Vaynshtok, and Brad Buda. It enables data and business teams to sync trusted, modeled data from cloud data warehouses—Snowflake, BigQuery, Redshift, and Databricks—into 200+ operational business tools including CRMs, marketing automation platforms, ad networks, and customer success systems, without requiring custom code or engineering effort. Census pioneered and defined the Reverse ETL category, holding the G2 Leader position for nine consecutive quarters. Backed by Sequoia, Andreessen Horowitz, Insight Partners, and Tiger Global, the company raised $80.3M before being acquired by Fivetran in May 2025, where it now operates as Fivetran Activations. Customers include Canva, HubSpot, Notion, Rippling, Activision, and Orangetheory Fitness.
Census is a Reverse ETL and Data Activation platform that syncs modeled, governance-ready data from cloud data warehouses to 200+ business applications. Its core product enables data teams to define SQL-based segments and syncs that push enriched data into the CRMs, marketing platforms, and operational tools that sales, marketing, and customer success teams use daily—eliminating the need for custom scripts or one-off API integrations. The platform includes an Audience Hub for no-code segment building, native dbt integration, Census Embedded for SaaS platforms, and observability tooling for monitoring and debugging syncs. Acquired by Fivetran in May 2025, Census is now positioned as Fivetran Activations.
Key Facts
- Founded
- 2018
- HQ
- San Francisco, CA, USA
- Founders
- Boris Jabes, Sean Lynch, Anton Vaynshtok +1 more
- Employees
- 51-100
- Funding
- $80.3M
- Customers
- Hundreds (as of 2025)
- Valuation
- $630M (Feb 2022)
- Status
- Acquired by Fivetran (May 2025)
Target users
Key Capabilities9
- Reverse ETL syncing from cloud data warehouses to 200+ business application destinations
- Audience Hub: no-code, point-and-click visual segment builder for marketing teams
- Native dbt integration for direct activation of dbt models
- Census Embedded: white-label data integration API for SaaS products
- Batch and near-real-time data syncing modes
- Observability tooling: sync logs, Live API Inspector, alerting, and debugging
- Lead and account scoring model activation via SQL-defined segments
- Customer 360 profile unification across CRM, marketing, and product tools
- AI-powered data enrichment for personalized customer interactions
Key Use Cases7
- Syncing enriched warehouse data into CRMs for sales and customer success teams
- Building and activating marketing audience segments across ad platforms and marketing automation tools
- Creating product-qualified leads (PQLs) from product usage data in the warehouse
- Personalizing customer journeys at scale using first-party behavioral and transactional data
- Reducing customer acquisition costs through precise audience targeting and lookalike modeling
- Embedding data import/export capabilities into SaaS products via Census Embedded
- Automating account health scoring and churn-risk alerting to customer success tools
Census customer outcomes
33% increase in email open rates, 2.5% lift in platform engagement, $200K+ saved annually in engineering costs, new audi
Used Census to sync 200+ TB of first-party Snowflake data into Braze for personalized marketing across 170+ million monthly users, improving email engagement and cutting engineering overhead for audience creation.
20% reduction in cost per acquisition
Leveraged Census to build lookalike audiences from first-party warehouse data and activate them across ad platforms, reducing cost per acquisition in prospecting campaigns.
Recent Trend
How AI describes Census3
GTM Engineer Club \+ 1 ### Census (Fivetran Activations) Census pioneered the Reverse ETL space and was recently acquired/integrated into Fivetran.
I need a reverse ETL tool to sync data warehouse segments back to a CRM and ad platforms — which platforms do this best?
Short answer: Hightouch, Census, and Improvado (plus a few open-source options) are widely regarded as leaders for reverse ETL to CRM and ad platforms, with strong coverage of ad networks and marketing tools.
I need a reverse ETL tool to sync data warehouse segments back to a CRM and ad platforms — which platforms do this best?
### Top Platforms for Reverse ETL (2026) Short answer: Hightouch and Census (now part of Fivetran Activations) are the category leaders.
I need a reverse ETL tool to sync data warehouse segments back to a CRM and ad platforms — which platforms do this best?
Most cited sources2
Alternatives in Data Engineering & ETL/ELT Pipelines6
Census positioned itself as the pioneer and category-defining leader of Reverse ETL—syncing modeled, trusted data from cloud data warehouses back into 200+ operational business tools without custom code.
- It differentiated through warehouse-native architecture (Snowflake, BigQuery, Redshift, Databricks), SQL-first data modeling, a no-code Audience Hub for marketers, deep dbt integration, and a Census Embedded offering for SaaS platforms.
- In the modern data stack, Census complemented ETL tools (like Fivetran) and transformation tools (like dbt) to complete the last-mile data activation layer.
- The company held the G2 Leader position in Reverse ETL for nine consecutive quarters before being acquired by Fivetran in May 2025 and rebranded as Fivetran Activations.
Reviews
Praised
- Intuitive, easy-to-use interface for data and business teams
- Fast time-to-value—pipelines operational in minutes
- Broad connector library (200+ destinations)
- Native dbt integration
- Reliable, low-maintenance syncs
- Responsive and knowledgeable customer support
- No-code Audience Hub for marketers
- Strong observability and sync debugging tools
Criticized
- Pricing complexity and unexpected cost increases at renewal
- Real-time sync and advanced features locked behind Enterprise tier
- SQL or technical knowledge required for advanced configurations
- Limited native data transformation capabilities compared to dedicated tools
- Uncertainty around roadmap and pricing post-Fivetran acquisition
- MAR-based pricing can escalate unpredictably at scale
Census earns strong user ratings, with a 4.5/5 on G2 across 339+ reviews, holding the G2 Leader position in the Reverse ETL category for nine consecutive quarters. Users consistently praise the intuitive interface, fast time-to-value (pipelines operational in minutes), breadth of destination connectors, and the quality of customer support. The dbt-native integration is frequently highlighted as a differentiator. Common criticisms include pricing complexity and unexpected cost increases at renewal, the need for technical SQL resources to configure more advanced syncs, and Enterprise feature gating for real-time sync and advanced Audience Hub capabilities. The May 2025 Fivetran acquisition introduces uncertainty for some users around roadmap continuity and pricing model transitions.
Pricing
Census offers tiered subscription plans—Free, Core, Platform, and Enterprise—priced on a Monthly Active Rows (MAR) consumption model. The Core tier starts around $1,000/month for smaller deployments (up to ~100,000 MARs with limited connectors). Platform and Enterprise tiers are custom-quoted based on data volume, connector count, and feature requirements. Vendr's anonymized transaction dataset shows a median buyer contract value of approximately $26,430/year, with actual deals ranging from roughly $4,500 to $65,300/year. A free tier is available with limited functionality. Post-Fivetran acquisition, Census pricing is being migrated to Fivetran's unified MAR-based consumption pricing model.
Limitations
- Census requires an existing, modeled cloud data warehouse as a prerequisite—teams at early data maturity stages cannot use it without first building ETL/ELT infrastructure.
- Pricing is MAR (monthly active rows) usage-based, which can become unpredictably expensive as data volumes or sync frequency increases.
- Real-time syncing and advanced Audience Hub features are gated behind higher-tier Enterprise plans.
- Reviewers note pricing complexity and aggressive increases at renewal.
- The May 2025 Fivetran acquisition introduces vendor risk: the Census brand is being folded into Fivetran Activations, the pricing model is shifting to Fivetran's MAR-based consumption structure, and roadmap priorities now reflect Fivetran's broader platform strategy.
- Census covers only last-mile data activation—separate tools are still needed for ETL/ELT ingestion and data transformation.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Bing Copilot | Perplexity | Google AI Mode | Gemini Search | ChatGPT | Grok |
|---|---|---|---|---|---|---|
Capability3/5 cited (60%) | ||||||
Which data orchestration tools support complex multi-step pipelines with branching logic, sensors, and cross-team dependencies? | ||||||
I need a reverse ETL tool to sync data warehouse segments back to a CRM and ad platforms — which platforms do this best? | ||||||
Which data pipeline tools support real-time streaming ingestion alongside batch loads from the same platform? | ||||||
What ETL platforms have built-in data quality checks and can alert the team when row counts or null rates deviate from expected ranges? | ||||||
What ELT platforms handle schema drift and evolving source schemas automatically without breaking existing pipelines? | ||||||
Developer Experience0/5 cited (0%) | ||||||
Looking for a data orchestration platform with a great local development workflow — which tools let you test DAGs or workflows locally before deploying? | ||||||
Which data pipeline tools offer code-first transformation layers that data engineers can version-control and test like software? | ||||||
What ELT platforms give data engineers the best debugging experience when a pipeline fails mid-run with partial data loaded? | ||||||
What ETL platforms do analytics engineers prefer when they want SQL-based transformations with testing and documentation built in? | ||||||
Which data pipeline tools have the best observability and data lineage views so you can trace where a bad value came from? | ||||||
Integrations & Ecosystem0/5 cited (0%) | ||||||
What data pipeline tools integrate natively with major cloud data warehouses for automatic schema management and optimized load performance? | ||||||
Which ETL tools have an open API and SDK so we can build custom connectors for internal data sources quickly? | ||||||
Which ELT platforms have the largest library of pre-built source connectors covering SaaS apps, databases, and event streams? | ||||||
Looking for an orchestration platform that integrates with my existing transformation layer — which tools support running SQL models as pipeline steps? | ||||||
What data engineering platforms work well in a multi-cloud setup where sources span one cloud and the warehouse is on another? | ||||||
Performance & Reliability0/5 cited (0%) | ||||||
Which ETL platforms have strong SLAs and automatic retry logic so data teams get alerted before business stakeholders notice pipeline delays? | ||||||
What data orchestration tools scale reliably to thousands of concurrent tasks without degrading scheduler performance? | ||||||
Which ELT platforms can sync billions of rows per day from a high-volume transactional database without impacting source system performance? | ||||||
What data pipeline tools handle late-arriving data and backfilling years of historical records reliably without manual intervention? | ||||||
Which ELT platforms maintain low-latency incremental syncs so dashboards reflect source data within minutes rather than hours? | ||||||
Setup & First Run0/5 cited (0%) | ||||||
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? | ||||||
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? | ||||||
What data orchestration tools have the best getting-started experience for a data engineer moving from manually scheduled SQL scripts? | ||||||
Which data pipeline platforms can a small data team of 2 get running with managed connectors for 20+ sources without building custom integrations? | ||||||
Which open-source ETL tools can be self-hosted on a single VM and are easy to configure without deep infrastructure knowledge? | ||||||
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Airbyte | 38.0% | 18.6% | 6.7% | 4.7% | 33.3% | #19.1 | +0.31 |
| 2 | Integrate.io | 35.3% | 18.1% | 0.0% | 34.0% | 31.3% | #23.1 | +0.30 |
| 3 | Fivetran | 24.0% | 18.1% | 8.7% | 9.3% | 22.7% | #32.5 | +0.26 |
| 4 | Dagster | 21.3% | 12.1% | 4.0% | 6.0% | 13.3% | #26.6 | +0.30 |
| 5 | Matillion | 20.7% | 7.9% | 2.7% | 0.0% | 16.7% | #22.6 | +0.24 |
| 6 | Hevo Data | 20.0% | 6.9% | 1.3% | 2.7% | 18.0% | #17.3 | +0.42 |
| 7 | dbt | 14.7% | 6.6% | 2.0% | 10.7% | 14.0% | #22.6 | +0.27 |
| 8 | Astronomer | 8.7% | 2.8% | 4.7% | 2.7% | 6.7% | #33.5 | +0.22 |
| 9 | Meltano | 7.3% | 4.9% | 2.0% | 3.3% | 7.3% | #28.6 | +0.48 |
| 10 | Rivery | 6.0% | 1.4% | 0.0% | 2.0% | 6.0% | #16.6 | +0.37 |
| 11 | Hightouch | 2.7% | 2.1% | 0.7% | 2.0% | 2.7% | #30.6 | +0.40 |
| 12 | Census | 2.0% | 0.4% | 0.0% | 0.0% | 2.0% | #38.7 | +0.30 |
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