# SingleStore AI visibility in Databases & Data Infrastructure

Canonical: https://devtune.ai/verticals/databases-data-infrastructure/singlestore

[Website](https://www.singlestore.com/)

Updated: 2026-10-18T18:51:18.525881+00:00
Prompts: 25
Runs: 6


## Platforms

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

Rank: 10
Total brands: 15
Measured responses: 150
Presence percent: 1.3333333333333335
Share of voice percent: 3.260869565217391
Average position: 4
Docs presence percent: 1.3333333333333335
Blog presence percent: 0.6666666666666667
Brand mention percent: 4


## Profile

Overview: SingleStore (formerly MemSQL) is a San Francisco-based distributed SQL database company founded in 2011. Its flagship product, SingleStore Helios, is a cloud-native platform designed to unify transactional (OLTP) and analytical (OLAP) workloads—known as HTAP—within a single engine, eliminating the need to maintain separate databases for different workload types. It natively supports relational SQL, JSON, vector, full-text search, time-series, and geospatial data. The platform is MySQL wire-protocol compatible and offers a MongoDB-compatible API (SingleStore Kai). Deployment options include managed cloud on AWS, Azure, and GCP; Bring Your Own Cloud (BYOC); and self-managed on-premises. In September 2025, Vector Capital acquired a majority stake in a growth buyout. SingleStore serves 100+ Fortune 500 customers across 40+ industries including financial services, media, retail, and high tech.
Product summary: SingleStore Helios is a distributed, cloud-native SQL database that unifies transactional and analytical processing in a single engine with native multi-model support spanning relational, JSON, vector, full-text, time-series, and geospatial data. It is designed for enterprise AI and real-time application workloads requiring ultra-low latency and high concurrency at petabyte scale.


### Key capabilities

- Unified HTAP engine combining OLTP and OLAP in a single distributed SQL database
- Multi-model data support: relational SQL, JSON, vector, full-text search, time-series, and geospatial
- Ultra-low latency query execution with high concurrency (thousands of simultaneous users)
- Native vector search and AI functions (LLM embeddings, sentiment analysis, classification) in SQL
- MySQL and MongoDB wire-protocol compatibility for simplified migration
- Built-in streaming data pipelines (SingleStore Pipelines) with native Kafka ingestion
- Flexible deployment: managed Helios cloud (AWS/Azure/GCP), BYOC, or self-managed on-premises
- Aura AI layer: natural language to SQL (Aura Analyst) and built-in ML functions
- Bottomless (tiered/unlimited) storage with separate compute and storage scaling
- Database branching, point-in-time recovery, and SOC 2 Type II / ISO 27001 compliance



### Target users

- Enterprise data architects and database engineers building real-time data platforms
- SaaS product teams requiring multi-tenant, high-concurrency database backends
- Data engineers managing high-volume streaming and CDC pipelines
- AI/ML platform teams integrating vector search and LLM-based features into applications
- BI and analytics teams needing sub-second query response for customer-facing dashboards
- Financial services and adtech engineering teams with ultra-low latency requirements



### Key use cases

- Real-time customer-facing analytics and dashboards at high concurrency
- AI and generative AI application backends requiring vector search and LLM integration
- Operational analytics consolidating OLTP and OLAP into a single platform
- Streaming data ingestion and processing (IoT, clickstreams, event pipelines)
- Adtech, martech, and salestech platforms requiring sub-second query response
- Financial services risk analytics and fraud detection at low latency
- SaaS multi-tenant application databases requiring elastic scalability
- Mainframe offload and legacy database modernization

Integrations ecosystem: SingleStore supports a broad integration ecosystem spanning AI/ML, analytics/BI, ETL, monitoring, and security tooling. Analytics and BI connectors include Tableau, Power BI, Looker, Sisense, MicroStrategy, IBM Cognos Analytics, Alteryx, Dremio, Denodo, GoodData, and Zoho Analytics. Data integration and ETL connectors include Apache Kafka (via Confluent), Apache Flink, Apache Spark, Apache Beam, AWS Glue, Azure Data Factory, Azure Event Hubs, Fivetran, dbt, Informatica PowerCenter, Qlik, Estuary, StreamSets, and HVR. Infrastructure management integrations include Terraform and a REST Management API. Monitoring integrations include Datadog and New Relic. Security and governance integrations include Collibra and IBM Guardium Data Encryption. Schema migration tools include Flyway and Liquibase. The platform runs on AWS, Azure, and GCP, and also supports BYOC (Bring Your Own Cloud) deployment. It is MySQL wire-protocol compatible and supports the MongoDB API via SingleStore Kai.
Pricing summary: SingleStore Helios cloud pricing is usage-based, billed in credits. A free shared tier (1 workspace) is available for development and testing. The Standard managed tier starts at $0.99/hour per workspace with $600 in free trial credits; it includes read replicas, database branching, 30-day monitoring, and 99.9%–99.99% SLA depending on availability zone configuration. The Enterprise tier starts at $1.49/hour and adds online point-in-time recovery (PITR), Smart DR, audit logging, and customer-managed encryption keys (CMEK). Storage is billed separately at approximately $0.023–$0.025/GB/month. A BYOC (Bring Your Own Cloud) Standard option is available via custom pricing. Commitment pricing discounts are available for production workloads. Self-managed on-premises pricing is not publicly listed. SingleStore Flow (optional CDC/replication add-on) is billed separately by compute size and data volume processed.
Review summary: Users consistently praise SingleStore for exceptional query speed and ingestion throughput—particularly Kafka-based streaming pipelines—and its ability to handle thousands of concurrent users for customer-facing dashboards. MySQL compatibility is cited as a migration accelerator. Common criticisms include documentation gaps, a steeper-than-expected learning curve for newcomers, limited cross-cluster replication, and premium pricing. Enterprise buyers in financial services, adtech, and SaaS dominate the reviewer base across Gartner Peer Insights and G2.
Competitive positioning: SingleStore positions as a unified HTAP (hybrid transactional and analytical processing) database that can replace multiple specialized databases—OLTP, OLAP, vector, full-text, and time-series—with a single distributed SQL engine. Its primary differentiation is ultra-low latency at high concurrency, MySQL wire-protocol compatibility (easing migration), and multi-model support in one platform. Against pure analytics databases like ClickHouse, SingleStore emphasizes transactional capability and broader workload unification. Against distributed OLTP databases like CockroachDB, it emphasizes real-time analytics speed. Against MongoDB, it emphasizes SQL compatibility and faster analytical throughput. Its 2025 acquisition by Vector Capital and growing Aura AI layer (natural language SQL, built-in LLM/ML functions) sharpen its pitch toward enterprise AI application workloads.
Limitations: SingleStore is not open-source, which has historically slowed developer-led community adoption compared to PostgreSQL or MongoDB. Users on G2 and TrustRadius note documentation quality gaps that can hamper onboarding. The platform has a learning curve, particularly for teams without MySQL background, and is noted as 'not beginner-friendly' for early-stage AI developers. Some users report limited cross-cluster table-level replication options. Advanced SQL features such as window functions and complex JSON functions are more constrained than in some competing databases. Pricing is perceived as high for smaller teams. The 2025 private equity acquisition by Vector Capital introduces strategic uncertainty around product roadmap and IPO timeline.


### Source urls

- https://www.singlestore.com/
- https://www.singlestore.com/pricing/
- https://www.singlestore.com/company/
- https://www.singlestore.com/connectors/integrations/
- https://sacra.com/c/singlestore/
- https://blocksandfiles.com/2025/09/17/singlestore-sidesteps-into-private-equity-ownership/
- https://tracxn.com/d/companies/singlestore/__byfSPh1-9VebbAhcIzT1TQZV-GnENiNV5XvVZ4hyfuY
- https://www.g2.com/products/singlestore/reviews
- https://www.gartner.com/reviews/market/cloud-database-management-systems/vendor/singlestore/product/singlestore
- https://www.gartner.com/reviews/market/cloud-database-management-systems/compare/microsoft-vs-singlestore
- https://aws.amazon.com/solutions/case-studies/skai-singlestore/
- https://www.cbinsights.com/company/memsql/customers
- https://www.strategycore.com/case-studies/singlestore-case-studies
- https://www.peerspot.com/products/singlestore-reviews
- https://www.trustradius.com/products/singlestore/reviews/all

Reviewed at: 2026-04-28T23:24:35.453+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Skai | Migrated from on-premises SingleStore to AWS with SingleStore as primary database, transforming infrastructure to achieve major cost and performance improvements across its omnichannel advertising platform. | 50% reduction in hardware requirements; in-memory footprint cut 80% (12 TB to 2 TB) |
| Dell | Deployed SingleStore to power Dell's SalesWorks Revenue Intelligence platform, replacing a solution that took 45–60 seconds to load a page and required complex manual processes. | 100X faster opportunity score processing; 1,200% faster page-loading |
| LiveRamp | Replaced a complex 20-step, 15+ hour batch data ingestion process with a distributed real-time ecosystem using SingleStore, simplifying data management to a single database. | $5M+ improvement to bottom line |
| Siemens | Implemented SingleStore for its Pulse Analytics system combined with Kubernetes and AWS, enabling real-time dashboards and handling massive user spikes. | 10–100X speed gains on dashboards; up to 100,000 concurrent users supported |
| GE | Selected SingleStore to simplify a sprawling data ecosystem, automate reconciliation processes, and enable self-service AI/ML access for business users. | 80% resolution of data platform challenges; 40X savings from reconciliation automation |
| Siteimprove | Adopted fully managed SingleStore Helios to eliminate infrastructure operations overhead, freeing engineering capacity for product development. | 10%+ more engineering time redirected to product roadmap |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.5 | 5 | 118 | https://www.g2.com/products/singlestore/reviews |
| Gartner Peer Insights | 4.5 | 5 | 180 | https://www.gartner.com/reviews/market/cloud-database-management-systems/vendor/singlestore/product/singlestore |
| PeerSpot | 8.8 | 10 | 7 | https://www.peerspot.com/products/singlestore-reviews |



### Review themes



#### Praised

- Ultra-low latency query speed on large datasets
- High concurrency handling (thousands of simultaneous users)
- Native Kafka ingestion via SingleStore Pipelines (no external connectors needed)
- MySQL wire-protocol compatibility easing migration
- Multi-model support (SQL, JSON, vector) in one engine
- Multi-cloud managed service (AWS, Azure, GCP)
- Responsive and knowledgeable customer support
- Ease of use for MySQL-experienced engineers



#### Criticized

- Documentation quality gaps hindering onboarding
- Not beginner-friendly for early-stage developers
- Steep learning curve without MySQL background
- Limited table-level cross-cluster replication
- Advanced SQL features (window functions, complex JSON) less complete than alternatives
- Perceived premium pricing relative to open-source options
- Support routing through third-party resellers can add friction




### Company facts

Founded year: 2011
Hq: San Francisco, CA, USA


#### Founders

- Nikita Shamgunov
- Adam Prout
- Erik Frenkiel

Employees range: Not available
Total funding: ~$558M
Valuation: $1.3B (last pre-buyout, 2022)
Arr: ~$123M
Customer count: hundreds (100+ Fortune 500 / Forbes Glob
Status: Private (majority stake acquired by Vector Capital, Sep 2025


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Neon | 13 | 150 | 8.666666666666668 | 5.310344827586207 |
| Supabase | 13 | 150 | 8.666666666666668 | 9.76923076923077 |
| PlanetScale | 12 | 150 | 8 | 6.851851851851852 |
| CockroachDB | 12 | 150 | 8 | 7.421052631578948 |
| MongoDB | 9 | 150 | 6 | 4.0588235294117645 |
| PingCAP | 9 | 150 | 6 | 6.3076923076923075 |
| QuestDB | 6 | 150 | 4 | 7.833333333333333 |
| ClickHouse | 5 | 150 | 3.3333333333333335 | 5.9 |
| Redis | 2 | 150 | 1.3333333333333335 | 2 |
| SingleStore | 2 | 150 | 1.3333333333333335 | 4 |
| Timescale | 2 | 150 | 1.3333333333333335 | 5 |
| Turso | 2 | 150 | 1.3333333333333335 | 5 |
| Xata | 1 | 150 | 0.6666666666666667 | 4 |
| Fauna | 0 | 150 | 0 | Not available |
| Gel | 0 | 150 | 0 | Not available |



## Platform breakdown

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



## Strengths





## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which developer-focused database platforms integrate best with IaC tools so database provisioning and config can be version-controlled? | 3 |
| Which time-series databases maintain query performance best at 10 million events per second ingestion over long retention periods? | 3 |
| Which managed database platforms make multi-cloud portability practical — so moving between cloud providers isn't a nightmare? | 3 |
| Which document databases handle schema evolution most smoothly — without requiring migration scripts for every change? | 3 |
| Which developer-focused database platforms handle schema migrations with CI/CD pipeline tooling out of the box? | 3 |



## Topic scores

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



## Prompt results

- Prompt text: What are the best dedicated vector databases, and how do they compare to adding vector search extensions to an existing relational database?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| PlanetScale | 4 |



##### Google-ai-mode





##### Bing-copilot-search





##### Chatgpt-search





##### Google-ai





##### Xai-search




- Prompt text: What tools sync data from a primary operational database to an analytics warehouse for real-time reporting without heavy ETL infrastructure?


#### Brand position by platform

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



#### Platform rows



##### Perplexity





##### Google-ai-mode





##### Bing-copilot-search





##### Chatgpt-search





##### Google-ai





##### Xai-search




- Prompt text: Which managed database platforms offer the best multi-region replication with automatic conflict resolution for write-write scenarios?


#### Brand position by platform

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



#### Platform rows



##### Perplexity





##### Google-ai-mode





##### Bing-copilot-search





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| CockroachDB | 19 |



##### Google-ai





##### Xai-search




- Prompt text: Which developer-focused database platforms integrate best with IaC tools so database provisioning and config can be version-controlled?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| MongoDB | 1 |
| CockroachDB | 3 |
| Neon | 4 |
| PlanetScale | 6 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Supabase | 1 |
| MongoDB | 5 |
| PlanetScale | 8 |



##### Bing-copilot-search





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| MongoDB | 1 |
| Neon | 3 |
| CockroachDB | 6 |
| PlanetScale | 8 |



##### Google-ai





##### Xai-search




- Prompt text: What tools and benchmarks help compare database platforms for high-concurrency transactional workloads before committing to one?


#### Brand position by platform

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



#### Platform rows



##### Perplexity





##### Google-ai-mode





##### Bing-copilot-search





##### Chatgpt-search





##### Google-ai





##### Xai-search




- Prompt text: Which cloud database platforms support change data capture for streaming row-level changes to a message queue or event bus with low latency?


#### Brand position by platform

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



#### Platform rows



##### Perplexity





##### Google-ai-mode





##### Bing-copilot-search





##### Chatgpt-search





##### Google-ai





##### Xai-search




- Prompt text: Which developer-focused databases offer the best local development experience that actually mirrors the production setup?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Neon | 1 |
| Supabase | 3 |



##### Google-ai-mode





##### Bing-copilot-search





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Neon | 10 |
| Supabase | 13 |
| MongoDB | 33 |



##### Google-ai





##### Xai-search




- Prompt text: What's the fastest serverless relational database to spin up and connect to a Node.js backend for a new SaaS app?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Neon | 1 |
| Turso | 3 |
| Supabase | 5 |



##### Google-ai-mode





##### Bing-copilot-search





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Neon | 1 |
| Supabase | 4 |
| Turso | 6 |



##### Google-ai





##### Xai-search




- Prompt text: Which time-series databases maintain query performance best at 10 million events per second ingestion over long retention periods?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Timescale | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| ClickHouse | 1 |
| QuestDB | 2 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| QuestDB | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| ClickHouse | 1 |
| QuestDB | 6 |



##### Google-ai





##### Xai-search




- Prompt text: Which globally distributed SQL databases are worth evaluating for a latency-sensitive SaaS product compared to a traditional single-region setup?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| PlanetScale | 7 |



##### Google-ai-mode





##### Bing-copilot-search





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| CockroachDB | 9 |
| PingCAP | 15 |



##### Google-ai





##### Xai-search




- Prompt text: Which managed database services offer the best backup and point-in-time recovery for production applications handling financial transactions?


#### Brand position by platform

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



#### Platform rows



##### Perplexity





##### Google-ai-mode





##### Bing-copilot-search





##### Chatgpt-search





##### Google-ai





##### Xai-search




- Prompt text: Which columnar databases handle mixed OLAP and OLTP workloads well — when does it make sense to use one over a standard row-store?


#### Brand position by platform

Perplexity: 3
Google-ai-mode: Not available
Bing-copilot-search: Not available
Chatgpt-search: 1
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| PingCAP | 1 |
| SingleStore | 3 |
| ClickHouse | 6 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| PingCAP | 2 |



##### Bing-copilot-search





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| SingleStore | 1 |
| PingCAP | 2 |
| ClickHouse | 8 |



##### Google-ai





##### Xai-search




- Prompt text: Which managed database platforms have the best ORM and query builder compatibility for JavaScript and Python ecosystems?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Neon | 1 |
| Supabase | 5 |



##### Google-ai-mode





##### Bing-copilot-search





##### Chatgpt-search





##### Google-ai





##### Xai-search




- Prompt text: Which ORMs and query builders offer the best TypeScript experience for a distributed SQL database?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| CockroachDB | 5 |



##### Google-ai-mode





##### Bing-copilot-search





##### Chatgpt-search





##### Google-ai





##### Xai-search




- Prompt text: Which managed database platforms make multi-cloud portability practical — so moving between cloud providers isn't a nightmare?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| MongoDB | 1 |
| CockroachDB | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| CockroachDB | 3 |



##### Bing-copilot-search





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| CockroachDB | 1 |
| MongoDB | 3 |



##### Google-ai





##### Xai-search




- Prompt text: Which document databases handle schema evolution most smoothly — without requiring migration scripts for every change?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| MongoDB | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| MongoDB | 1 |



##### Bing-copilot-search





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| MongoDB | 1 |



##### Google-ai





##### Xai-search




- Prompt text: I'm evaluating managed cloud databases versus self-hosted options for a seed-stage product — what should I look at?


#### Brand position by platform

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



#### Platform rows



##### Perplexity





##### Google-ai-mode





##### Bing-copilot-search





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Supabase | 5 |



##### Google-ai





##### Xai-search




- Prompt text: Which serverless database platforms maintain the best read/write throughput under sustained load with reliable autoscaling?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| ClickHouse | 6 |



##### Google-ai-mode





##### Bing-copilot-search





##### Chatgpt-search





##### Google-ai





##### Xai-search




- Prompt text: Which time-series databases have the best query authoring and debugging experience for teams coming from relational databases?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| QuestDB | 1 |



##### Google-ai-mode





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| QuestDB | 5 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Timescale | 6 |
| QuestDB | 15 |



##### Google-ai





##### Xai-search




- Prompt text: Which cloud-native database platforms handle connection pooling best for serverless workloads with unpredictable connection spikes?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Neon | 1 |
| Supabase | 8 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Neon | 2 |
| PlanetScale | 5 |



##### Bing-copilot-search





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Supabase | 6 |



##### Google-ai





##### Xai-search




- Prompt text: Which developer-focused database platforms handle schema migrations with CI/CD pipeline tooling out of the box?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| PlanetScale | 1 |
| Neon | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Supabase | 2 |
| PlanetScale | 4 |



##### Bing-copilot-search





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Supabase | 2 |
| Neon | 11 |
| PlanetScale | 13 |



##### Google-ai





##### Xai-search




- Prompt text: What in-memory caching tools integrate best with persistent databases — and which are worth adding versus just optimizing primary database queries?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Redis | 1 |



##### Google-ai-mode





##### Bing-copilot-search





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Redis | 2 |



##### Google-ai





##### Xai-search




- Prompt text: Which distributed SQL platforms support migrating from a legacy relational database with minimal downtime for a production application?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| CockroachDB | 1 |
| PingCAP | 5 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| CockroachDB | 3 |
| PingCAP | 6 |



##### Bing-copilot-search





##### Chatgpt-search





##### Google-ai





##### Xai-search




- Prompt text: Which database platforms support branching so I can get a fresh isolated database copy per pull request for feature development?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Neon | 2 |
| PlanetScale | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Xata | 1 |
| Supabase | 4 |
| PlanetScale | 8 |



##### Bing-copilot-search





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Neon | 1 |
| Supabase | 3 |
| PlanetScale | 6 |



##### Google-ai





##### Xai-search




- Prompt text: Which distributed SQL databases handle automatic failover most reliably when a node goes down — with the fastest recovery times?


#### Brand position by platform

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| CockroachDB | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| CockroachDB | 3 |
| PingCAP | 4 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| PingCAP | 6 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| PingCAP | 9 |



##### Google-ai





##### Xai-search







## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://docs.singlestore.com/db/v9.1/create-a-database/columnstore/universal-storage/ | Universal Storage · SingleStore Self-Managed Documentation | docs.singlestore.com | Not available | commercial | documentation | 3 | 3 |
| https://docs.singlestore.com/db/v9.1/create-a-database/rowstore/ | Rowstore · SingleStore Self-Managed Documentation | docs.singlestore.com | Not available | commercial | documentation | 3 | 3 |
| https://docs.singlestore.com/cloud/create-a-database/choosing-a-table-storage-type/ | Choosing a Table Storage Type · SingleStore Helios Documentation | docs.singlestore.com | Not available | commercial | documentation | 2 | 2 |
| https://docs.singlestore.com/db/v7.3/introduction/how-singlestore-works/high-performance-for-oltp-and-olap-workloads/ | High-Performance for OLTP and OLAP Workloads | docs.singlestore.com | Not available | commercial | documentation | 1 | 1 |
| https://www.singlestore.com/blog/should-you-use-a-rowstore-or-a-columnstore/ | Should You Use a Rowstore or a Columnstore? | singlestore.com | Not available | commercial | blog_post | 1 | 1 |
| https://docs.singlestore.com/db/v7.8/create-a-database/rowstore/ | Rowstore | docs.singlestore.com | Not available | commercial | documentation | 1 | 1 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| Which columnar databases handle mixed OLAP and OLTP workloads well — when does it make sense to use one over a standard row-store? | bing-copilot-search | ...es, Column Stores, and Matching Shape to Workload - The HLD Handbook](https://hld.handbook.academy/curriculum/data-systems/oltp-vs-olap/) * HTAP Engines (e.g., TiDB, SingleStore, YugabyteDB, Spanner) * Aim to unify OLTP \+ OLAP in one system. |
| Which distributed SQL databases handle automatic failover most reliably when a node goes down — with the fastest recovery times? | bing-copilot-search | ...se Software (2026)](https://axiobench.com/best/enterprise-database-software/)[Distributed SQL: CockroachDB vs Yugabyte vs SingleStore \| Enterprise Software Review](https://enterprise-software-review.contentwave.net/article/cockroachdb-vs-yugabyte-vs-sing... |
| Which columnar databases handle mixed OLAP and OLTP workloads well — when does it make sense to use one over a standard row-store? | perplexity | \| \| SingleStore \| Offers in-memory rowstore tables for demanding point-lookup and update-heavy transactions, plus on-disk columnstore/“Universal Storage” with features such as indexes, row-level locking, and upserts for mixed workloads. |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| perplexity | MongoDB | ...database provisioning and configuration, these platforms stand out: \| Platform \| IaC fit \| Best for \| \|---\|---\|---\| \| MongoDB Atlas \| Strongest overall: an official, HashiCorp-verified Terraform provider covers a broad range of Atlas resources, i... |
| perplexity | CockroachDB | \| \| CockroachDB Cloud \| Strong: its Terraform provider can provision and manage clusters and related resources. |
| google-ai-mode | Supabase | Terraform provider \| Supabase FeaturesNeon Provider \| Pulumi Registry[Docs overview \| supabase/supabase \| Terraform \| Terraform Registry](https://regis... |
| chatgpt-search | MongoDB | My top recommendation is MongoDB Atlas for the most mature database-specific Terraform integration, Neon for developer-centric PostgreSQL workflows, and CockroachDB Cloud or PlanetScale for teams that want managed databases with programmable infrastructure. |
| chatgpt-search | Neon | My top recommendation is MongoDB Atlas for the most mature database-specific Terraform integration, Neon for developer-centric PostgreSQL workflows, and CockroachDB Cloud or PlanetScale for teams that want managed databases with programmable infrastructure. |
| google-ai-mode | ClickHouse | ...he systems proven to handle this tier of sustained ingestion while maintaining high query performance include: * * ClickHouse * How it handles 10M+ EPS & Retention: ClickHouse is an open-source, columnar OLAP database built explicitly fo... |
| google-ai-mode | QuestDB | ...etflix optimized its petabyte-scale logging system with](https://clickhouse.com/blog/netflix-petabyte-scale-logging) * QuestDB * How it handles 10M+ EPS & Retention: QuestDB is engineered from the ground up for high-throughput time-series... |
| bing-copilot-search | QuestDB | For sustained query performance at extreme ingestion rates (≈10M events/sec) with long retention, the strongest candidates are QuestDB, ClickHouse, and InfluxDB 3.0, with TimescaleDB viable when SQL compatibility is critical. |
| chatgpt-search | ClickHouse | ## 1. ClickHouse Best for analytical queries A strong first choice for large event datasets, high-cardinality dimensions, aggregations, and queries spanning weeks or years. |
| perplexity | MongoDB | \| Platform \| Why it can help \| Important caveat \| \|---\|---\|---\| \| MongoDB Atlas \| Runs on AWS, Azure, and Google Cloud. |
| google-ai-mode | CockroachDB | ...n how they abstract infrastructure: * * Distributed SQL Databases (Cloud-Agnostic & Native Multi-Cloud) * _CockroachDB Dedicated / BYOC_ : Built on a shared-nothing, distributed architecture, _ CockroachDB_ abstracts underlying cloud st... |
| chatgpt-search | CockroachDB | My shortlist would start with CockroachDB, MongoDB Atlas, YugabyteDB, Google Cloud AlloyDB Omni, and cloud-neutral PostgreSQL or MySQL deployments. |



## Trend

Visibility delta: -2.036363636363636
Avg position delta: 2.25
Citation count delta: 2