# Neon AI visibility in Databases & Data Infrastructure

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

[Website](https://neon.tech/)

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: 1
Total brands: 15
Measured responses: 150
Presence percent: 8.666666666666668
Share of voice percent: 15.760869565217392
Average position: 5.310344827586207
Docs presence percent: 8
Blog presence percent: 0
Brand mention percent: 28.000000000000004


## Profile

Overview: Neon is a serverless Postgres platform built on a novel architecture that fully separates storage from compute, enabling databases to autoscale vertically, pause when idle, and resume in milliseconds. Founded in 2021 by Postgres committers Nikita Shamgunov, Heikki Linnakangas, and Stas Kelvich, Neon launched its open-source storage engine on GitHub and reached general availability in April 2024. The platform is notable for instant git-like database branching using copy-on-write storage, a fully usage-based pricing model, and a fleet management API suited for AI agents and developer platforms. In May 2025, Databricks acquired Neon for approximately $1 billion; the same technology now powers Databricks Lakebase. Neon reported over 40,000 databases created daily, with roughly 80% provisioned by AI agents rather than humans.
Product summary: Neon is an open-source, developer-first serverless Postgres platform that re-architects PostgreSQL with a distributed, multi-tenant storage layer decoupled from compute. Its signature capabilities—instant database branching, automatic scale-to-zero, vertical autoscaling, and a REST/CLI API for fleet management—make it well-suited for modern application development workflows, AI agent backends, and developer platforms embedding Postgres for their users. Now a Databricks company, Neon's core technology also powers Databricks Lakebase.


### Key capabilities

- Storage-compute separation enabling true serverless Postgres architecture
- Instant git-like database branching with copy-on-write (no data duplication until divergence)
- Automatic vertical autoscaling of CPU and RAM based on live workload
- Scale-to-zero: databases pause when idle and resume in milliseconds
- Point-in-time instant restore (PITR) up to 30 days on Scale plan
- Built-in pgBouncer connection pooling supporting up to 10,000 client connections
- Fleet-scale REST API for programmatic provisioning (databases in ~120ms)
- Built-in Neon Auth for user authentication managed at the database layer
- Read replicas with instant, autoscaling compute
- Postgres extensions support including pgvector, pg_search, PostGIS, TimescaleDB



### Target users

- Full-stack and backend developers building serverless or edge applications
- AI/ML engineers and agent platform builders requiring rapid database provisioning
- Developer platform and SaaS companies embedding Postgres for end users
- DevOps and platform engineers managing large Postgres fleets via API
- Startups seeking low-cost, scale-to-zero Postgres with no infrastructure overhead
- Engineering teams needing per-PR/branch isolated database environments in CI/CD



### Key use cases

- Serverless and edge application backends requiring auto-scaling Postgres
- AI agent platforms needing rapid, cost-effective fleet provisioning of isolated databases
- Development and test environments with per-PR/branch isolated database copies
- Multi-tenant SaaS with database-per-tenant isolation without overhead
- Platform builders embedding managed Postgres for their end users via API
- Applications with spiky or unpredictable traffic patterns (pay-per-use compute)
- Large-scale Postgres fleet management for developer tool platforms

Integrations ecosystem: Neon integrates natively with Vercel (managed and Neon-managed integrations with per-PR preview database branching), Netlify Functions, GitHub Actions (official GitHub app and branch automation actions), Railway, Render, and Fly.io. ORM and framework integrations are documented for Prisma, TypeORM, Drizzle, Sequelize, Knex, and Django. Storage integrations exist for AWS S3, Azure Blob, Cloudflare R2, Backblaze B2, Cloudinary, ImageKit, and Uploadcare. Observability exports go to Datadog and any OpenTelemetry-compatible backend. An MCP server (mcp-server-neon, 559 GitHub stars) enables LLM/agent interaction with the Neon Management API. Neon also has a Data API (PostgREST-compatible) and a REST API for full programmatic fleet management. Partners include Retool, Hasura, Replit, WunderGraph, Bunnyshell, and Koyeb.
Pricing summary: Neon offers three self-serve tiers: Free ($0/month, no card required; 100 projects, 100 CU-hours per project, 0.5 GB storage, up to 2 CU compute, 6-hour PITR), Launch (usage-based, no monthly minimum; $0.106/CU-hour compute, $0.35/GB-month storage, $0.20/GB-month for PITR, up to 16 CU, 7-day PITR window), and Scale (usage-based, no monthly minimum; $0.222/CU-hour compute, $0.35/GB-month storage, up to 56 CU, 30-day PITR, SOC 2 report, HIPAA, private networking, 99.95% SLA). Additional branches are $1.50/branch-month beyond plan inclusions. An Enterprise tier and a custom Agent Plan (for platforms deploying thousands of databases) are available via sales. Early-stage startups can apply for up to $100K in credits through the Neon Startup Program.
Review summary: Community sentiment sourced from Product Hunt (5.0/5 across 66 reviews) and Hacker News discussions is broadly positive, with particular praise for database branching as a development-velocity multiplier and the simplicity of the serverless model. Users describe Neon as easy to set up, with strong reliability in practice. The main criticism noted across forums is around pricing model changes (a historical shift from fully free toward usage-based minimums) and occasional questions about cold-start latency for scale-to-zero databases in latency-sensitive production workloads. No verifiable aggregate scores were found on G2 or Gartner Peer Insights specifically for the neon.tech database product at time of research.
Competitive positioning: Neon positions itself as the developer-first, open-source serverless Postgres platform built on true storage-compute separation—differentiating from managed Postgres offerings (AWS Aurora, Google AlloyDB) via genuine scale-to-zero economics, instant git-like database branching, and a fully usage-based pricing model. Backed by Databricks since May 2025, Neon further differentiates by targeting AI-agent workloads that require millisecond database provisioning, fleet-scale API management, and cost-effective idle pausing—capabilities it argues neither hyperscaler nor competing Postgres-as-a-service vendors (e.g., Supabase, PlanetScale) match at the architectural level.
Limitations: Neon is optimized for OLTP and general-purpose Postgres workloads; it is not designed for analytics-heavy or data warehouse use cases. Autoscaling is capped at 16 CU (64 GB RAM) on Launch and 56 CU (224 GB RAM) on Scale plans; fixed compute sizes go up to 56 CU. The Free plan limits compute to 2 CU (8 GB RAM) and 0.5 GB storage per project, with scale-to-zero enforced after 5 minutes. Free plan PITR window is limited to 6 hours or 1 GB of data changes. The platform runs on AWS infrastructure (multi-AZ storage), meaning teams requiring multi-cloud or on-premises deployment must use the open-source self-hosted path. Post-Databricks acquisition, some users in community discussions have raised questions about long-term independent pricing and roadmap autonomy.


### Source urls

- https://neon.tech/
- https://neon.tech/pricing
- https://neon.tech/about-us
- https://neon.tech/case-studies
- https://github.com/neondatabase
- https://sacra.com/c/neon/
- https://www.databricks.com/blog/databricks-neon
- https://siliconangle.com/2025/05/14/databricks-buys-serverless-database-startup-neon-reported-1b/
- https://siliconangle.com/2023/08/01/neon-lands-46m-serverless-postgres-dbms/
- https://m12.vc/news/founders-feature-neon/
- https://www.globenewswire.com/news-release/2024/08/07/2925965/0/en/Neon-to-Bring-Serverless-Postgres-to-Azure-Announces-25-Million-Strategic-Investment-led-by-M12-Microsoft-s-Venture-Fund.html
- https://neon.com/blog/how-retool-uses-retool-and-the-neon-api-to-manage-300k-postgres-databases
- https://neon.com/blog/neon-postgres-on-vercel
- https://neon.com/docs/guides/integrations
- https://www.producthunt.com/products/neon

Reviewed at: 2026-04-28T23:23:08.614+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Retool | Retool uses the Neon API to power RetoolDB, managing over 300,000 customer Postgres databases with a single engineer, automating virtually all database management tasks. Scale-to-zero eliminates idle compute costs across the fleet. | 300,000+ databases managed by 1 engineer; 50% cost reduction vs. provisioned platform |
| Vercel | Vercel uses Neon's autoscaling to power Vercel Postgres, achieving 99.99% uptime without over-provisioning compute resources for its developer platform. | 99.99% uptime without over-provisioning |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| Product Hunt | 5 | 5 | 66 | https://www.producthunt.com/products/neon/reviews |



### Review themes



#### Praised

- Instant database branching speeds up development and testing
- Easy setup and developer-friendly onboarding
- Scale-to-zero eliminates idle compute costs
- Strong Vercel and GitHub Actions integration
- Open-source and Postgres-native—no lock-in
- Responsive support team
- Powerful fleet management via API



#### Criticized

- Pricing model changes (shift from free to usage-based minimums)
- Cold-start latency concerns for scale-to-zero in latency-sensitive production
- Limited compute ceiling on lower-tier plans
- Questions about roadmap autonomy post-Databricks acquisition




### Company facts

Founded year: 2021
Hq: San Francisco, USA


#### Founders

- Nikita Shamgunov
- Heikki Linnakangas
- Stas Kelvich

Employees range: Not available
Total funding: ~$130.6M
Valuation: Not available
Arr: ~$25M
Customer count: Not available
Status: Acquired by Databricks (May 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 | 7 | 28.000000000000004 |
| google-ai-mode | 1 | 4 |
| bing-copilot-search | 0 | 0 |
| chatgpt-search | 5 | 20 |
| google-ai | 0 | 0 |
| xai-search | 0 | 0 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| What's the fastest serverless relational database to spin up and connect to a Node.js backend for a new SaaS app? | 2 | 1 |
| Which managed database platforms have the best ORM and query builder compatibility for JavaScript and Python ecosystems? | 1 | 1 |
| Which cloud-native database platforms handle connection pooling best for serverless workloads with unpredictable connection spikes? | 2 | 1.5 |
| Which developer-focused databases offer the best local development experience that actually mirrors the production setup? | 2 | 5.5 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which time-series databases maintain query performance best at 10 million events per second ingestion over long retention periods? | 3 |
| Which columnar databases handle mixed OLAP and OLTP workloads well — when does it make sense to use one over a standard row-store? | 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 | 0 |
| Developer Experience | 5 | 2 |
| Integrations & Ecosystem | 5 | 2 |
| Performance & Reliability | 5 | 0 |
| Setup & First Run | 5 | 3 |



## 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: 4
Google-ai-mode: Not available
Bing-copilot-search: Not available
Chatgpt-search: 3
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: 1
Google-ai-mode: Not available
Bing-copilot-search: Not available
Chatgpt-search: 10
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: 1
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 |
| --- | --- |
| 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: 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 |
| --- | --- |
| 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: 1
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: 1
Google-ai-mode: 2
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: 4
Google-ai-mode: Not available
Bing-copilot-search: Not available
Chatgpt-search: 11
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: 2
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 |
| --- | --- |
| 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://neon.com/docs/get-started-with-neon/workflow-primer?a=9415b291-804f-4bb4-9807-4ce1c6e15400 | Database branching workflow primer | neon.com | Not available | commercial | documentation | 9 | 9 |
| https://neon.com/docs/reference/terraform | Manage Neon with Terraform - Neon Docs | neon.com | Not available | commercial | documentation | 6 | 6 |
| https://neon.com/docs/get-started/connect-neon | neon.com › docs › get-startedConnecting Neon to your stack - Neon Docs | neon.com | Not available | commercial | documentation | 4 | 4 |
| https://neon.com/docs/guides/branching-github-actions | Available Actions | neon.com | Not available | commercial | documentation | 4 | 4 |
| https://neon.com/docs/connect/connection-pooling | Connection pooling - Neon Docs | neon.com | Not available | commercial | documentation | 4 | 4 |
| https://neon.com/docs/guides/serverless-connection-pooling | Using Neon from highly elastic serverless platforms - Neon Docs | neon.com | Not available | commercial | documentation | 4 | 4 |
| https://neon.com/docs/introduction/branching | Branching - Neon Docs | neon.com | Not available | commercial | documentation | 3 | 3 |
| https://neon.com/docs/local/neon-local | Neon Local - Neon Docs | neon.com | Not available | commercial | documentation | 3 | 3 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| Which developer-focused databases offer the best local development experience that actually mirrors the production setup? | bing-copilot-search | ...v/test; supports anonymization for safe use.[Self-Hosted Database Development & Testing Environments: Database Lab Engine vs Neon vs Supabase Local Dev Compared \| Pi Stack](https://www.pistack.xyz/posts/2026-06-16-self-hosted-database-dev-test-environmen... |
| What's the fastest serverless relational database to spin up and connect to a Node.js backend for a new SaaS app? | bing-copilot-search | For spinning up a serverless relational database quickly and connecting it to a Node.js backend for a SaaS app, the leading options in 2025 are Supabase, Neon, PlanetScale, Turso, and CockroachDB Serverless. |
| Which managed database platforms have the best ORM and query builder compatibility for JavaScript and Python ecosystems? | bing-copilot-search | ...ORM\| SQL-first, lightweight, great for edge/serverless runtimes.\| Strong with PostgreSQL, MySQL, SQLite on Supabase, Neon, PlanetScale.Best ORM Tools in 2026 \| techstack.sh TypeORM\|... |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| 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 | SingleStore | \| \| 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. |
| google-ai-mode | PingCAP | pingcap.com/article/tidb-the-ultimate-htap-database-for-modern-applications/) * * OLTP needs fast single-row lookups, heavy concurrent writes, and strict ACID guarantees (traditionally best on row-stores like PostgreSQL or MySQL). |
| chatgpt-search | SingleStore | ## 2. SingleStore Best for mixed application SQL and real-time analytics Combines rowstore and columnstore table options in a distributed SQL database. |
| chatgpt-search | PingCAP | pingcap.com/tidb/stable/tiflash-overview/)Primary Key tableData Update and Delete ## 3. When does a columnar database beat a standard row-store? |
| 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. |
| chatgpt-search | MongoDB | My shortlist would start with CockroachDB, MongoDB Atlas, YugabyteDB, Google Cloud AlloyDB Omni, and cloud-neutral PostgreSQL or MySQL deployments. |



## Trend

Visibility delta: 1.3090909090909086
Avg position delta: 2.492163009404389
Citation count delta: 18