# PlanetScale AI visibility in Databases & Data Infrastructure

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

[Website](https://planetscale.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: 3
Total brands: 15
Measured responses: 150
Presence percent: 8
Share of voice percent: 14.673913043478262
Average position: 6.851851851851852
Docs presence percent: 6
Blog presence percent: 3.3333333333333335
Brand mention percent: 20.666666666666668


## Profile

Overview: PlanetScale is a fully managed cloud database platform founded in 2018 by the co-creators of Vitess, the MySQL horizontal-sharding system originally built at YouTube. The platform offers two primary engines: Vitess/MySQL — enabling horizontal sharding across thousands of nodes through a single connection — and managed PostgreSQL with high-availability clusters. Both run on PlanetScale Metal, NVMe-backed infrastructure delivering unlimited IOPS. A signature developer feature is database branching: Git-style branches let teams safely test and deploy schema changes with zero downtime and zero data loss. Additional capabilities include built-in query observability (Insights), vector data support, a global edge routing network, and Database Traffic Control for query budget enforcement. Customers include Block (Cash App), Intercom, and MyFitnessPal. Enterprise deployments support Bring Your Own Cloud on AWS and GCP.
Product summary: PlanetScale provides fully managed Vitess/MySQL and PostgreSQL databases optimized for high-throughput OLTP workloads. Its differentiating features are NVMe Metal performance (unlimited IOPS), Git-style database branching with zero-downtime schema changes, built-in horizontal sharding via Vitess, 100%-capture query Insights, and enterprise-grade compliance (SOC 2 Type 2, PCI DSS 4.0, HIPAA). A next-generation Postgres sharding architecture (Neki) is in development.


### Key capabilities

- Managed Vitess/MySQL with horizontal sharding across thousands of nodes via a single connection
- Managed PostgreSQL with high-availability clusters across 3 availability zones
- PlanetScale Metal: NVMe-backed storage with unlimited IOPS and sub-10ms p95 latency
- Database branching and deploy requests for zero-downtime, revertable schema changes
- Query Insights with 100% query capture, anomaly detection, and actionable recommendations
- Database Traffic Control for enforcing query resource budgets and protecting against runaway load
- Explicit horizontal sharding workflows for in-app resharding without app rewrites
- Vector data support for both MySQL and Postgres alongside relational data
- Bring Your Own Cloud (PlanetScale Managed) for AWS and GCP private deployments
- Global Edge Network for automatic query routing to local nodes



### Target users

- Senior platform and database engineers at high-growth and enterprise companies
- Engineering teams running high-traffic MySQL or Postgres production databases
- DevOps and SRE teams migrating off self-managed or cloud-provider database services
- Fintech and regulated-industry teams requiring PCI DSS and HIPAA compliance
- Full-stack development teams seeking Git-style database workflow automation



### Key use cases

- Horizontally sharded MySQL workloads at hyperscale (millions of QPS, petabyte-range data)
- Zero-downtime schema migrations in high-traffic production environments
- High-availability managed PostgreSQL for SaaS and consumer web applications
- Fintech and regulated-industry Tier 0 database infrastructure
- Multi-environment database branching for CI/CD and team-based schema review workflows
- Migration from self-hosted Vitess clusters or Amazon RDS/Aurora
- AI and vector workloads requiring relational data stored alongside embeddings

Integrations ecosystem: Integrations include Fivetran, Airbyte, Hightouch (data activation), Datadog (monitoring), Vantage (cloud cost), and Debezium (change data capture). ORM/client integrations with Prisma are well-documented. Connection pooling via PgBouncer (port 6432) is built in for Postgres. Infrastructure-as-code supported via official Terraform provider. MCP server available for AI agent tooling. Purchasable through AWS Marketplace and Google Cloud Marketplace. Vitess open-source ecosystem (CNCF-graduated) broadens community tooling compatibility.
Pricing summary: Resource-based, pay-as-you-go model. PlanetScale Postgres: single-node development from $5/month; HA clusters (1 primary + 2 replicas across 3 AZs) from $15/month on EBS or $50/month on NVMe Metal. Vitess pricing is based on instance sizes, VTGate configuration, and storage ($0.50/GB/instance after first 10 GB included). Egress: $0.06/GB after 100 GB included. Enterprise plan adds Bring Your Own Cloud (PlanetScale Managed in customer's AWS/GCP account), business/enterprise support, shared Slack channel, and custom pricing. Available on AWS and GCP Marketplaces. Free tier was removed in 2024.
Review summary: Reviews are sparse in volume but consistently positive among verified users. Developers and engineers praise the database branching workflow, horizontal scalability, NVMe performance, and responsive support team. The removal of the free tier in 2024 is the most frequently cited criticism, particularly among indie developers and early-stage teams who found the new entry pricing prohibitive. Some users note the absence of a graphical database client and a learning curve for Vitess-specific concepts.
Competitive positioning: PlanetScale positions as the highest-performance fully managed database for teams that have outgrown Amazon Aurora/RDS or self-hosted Vitess, competing primarily on raw NVMe throughput (benchmarked as fastest cloud Postgres/MySQL), deep Vitess open-source expertise, and a developer-centric Git-style branching workflow. The platform explicitly targets Tier 0 enterprise workloads rather than entry-level users (evidenced by its 2024 free-tier removal). PlanetScale's co-founders built Vitess at YouTube and maintain the CNCF-graduated project, creating a credibility moat with hyperscale customers that cloud-provider DBaaS offerings and newer serverless entrants cannot easily replicate.
Limitations: Free tier removed in 2024, raising minimum entry cost and causing community backlash among indie developers and small projects. Vitess historically lacked foreign key constraint enforcement (partially addressed; users should verify current status). No built-in GUI or database client — interaction is via SQL console, CLI, or API. PlanetScale Postgres support is newer and less feature-complete than the Vitess offering. Vitess MySQL dialect has compatibility gaps versus standard MySQL (some queries require rewriting). PlanetScale's hyperscale Vitess philosophy is intentionally single-region, which may not suit teams requiring active-active geographic distribution.


### Source urls

- https://planetscale.com/
- https://planetscale.com/pricing
- https://planetscale.com/about
- https://planetscale.com/case-studies/cash-app
- https://planetscale.com/case-studies/myfitnesspal
- https://planetscale.com/case-studies/dub
- https://www.g2.com/products/planetscale/reviews
- https://www.crunchbase.com/organization/planetscale
- https://tracxn.com/d/companies/planetscale/__5PmSMTqTM1gc8puXBmfTEUiTk1LvbJqq8JnwenJkS94
- https://aws.amazon.com/marketplace/pp/prodview-luy3krhkpjne4
- https://techcrunch.com/2018/12/13/planetscale/
- https://github.com/planetscale

Reviewed at: 2026-04-28T23:22:24.982+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Block (Cash App) | Cash App migrated its two largest Vitess clusters — handling customer/payment history and its main financial ledger — to PlanetScale, scaling to 400TiB of data and approximately 3–4 million queries per second across 400 shards. A subsequent migration to PlanetScale Metal further | 64% cost reduction and 50% p99 latency reduction after moving to PlanetScale Metal |
| MyFitnessPal | MyFitnessPal migrated from Amazon RDS to PlanetScale Managed, eliminating the need for 3–4 full-time staff managing database servers and enabling zero-downtime schema changes that were previously impossible on RDS. | Not available |
| Dub | Dub built its link management platform on PlanetScale from day one and reported zero database uptime incidents. Deploy requests enabled rapid iteration without risk to production, and validated backups allowed full restoration of accidentally deleted customer data. | Not available |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.3 | 5 | 4 | https://www.g2.com/products/planetscale/reviews |



### Review themes



#### Praised

- Database branching workflow for safe, Git-style schema changes
- Zero-downtime schema migrations and deploy requests
- NVMe Metal performance and low latency
- Horizontal scalability via Vitess
- Responsive and expert support team
- Query Insights with 100% query capture
- MySQL compatibility and ease of integration (e.g., Prisma)



#### Criticized

- Free tier removed in 2024, raising minimum entry cost
- Steep pricing for small/indie projects
- No built-in GUI or database client — terminal/SQL console only
- Vitess MySQL dialect compatibility gaps (e.g., historical lack of foreign keys)
- Learning curve for Vitess-specific concepts and sharding workflows




### Company facts

Founded year: 2018
Hq: San Francisco, CA


#### Founders

- Jiten Vaidya
- Sugu Sougoumarane
- Sam Lambert

Employees range: 51-100
Total funding: $105M
Valuation: Not available
Arr: Not available
Customer count: Not available
Status: Private


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 | 5 | 20 |
| google-ai-mode | 4 | 16 |
| bing-copilot-search | 0 | 0 |
| chatgpt-search | 3 | 12 |
| google-ai | 0 | 0 |
| xai-search | 0 | 0 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| What are the best dedicated vector databases, and how do they compare to adding vector search extensions to an existing relational database? | 1 | 4 |
| Which globally distributed SQL databases are worth evaluating for a latency-sensitive SaaS product compared to a traditional single-region setup? | 1 | 7 |



## 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 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 |



## Topic scores

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



## 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: 4
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: 6
Google-ai-mode: 8
Bing-copilot-search: Not available
Chatgpt-search: 8
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: 7
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: 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: 5
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: 1
Google-ai-mode: 4
Bing-copilot-search: Not available
Chatgpt-search: 13
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: 3
Google-ai-mode: 8
Bing-copilot-search: Not available
Chatgpt-search: 6
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://planetscale.com/docs/vitess/schema-changes/branching | Branching - PlanetScale | planetscale.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/8fa65aa98ee606a9c4c15ddfaea0c405bb67e4df.png | commercial | documentation | 6 | 6 |
| https://planetscale.com/docs/vitess/best-practices | PlanetScale workflow for Vitess - PlanetScale | planetscale.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/8fa65aa98ee606a9c4c15ddfaea0c405bb67e4df.png | commercial | documentation | 6 | 6 |
| https://www-2024.preview.planetscale.com/docs/onboarding/branching-and-deploy-requests | Branching and deploy requests | www-2024.preview.planetscale.com | Not available | commercial | documentation | 5 | 5 |
| https://planetscale.com/blog/how-planetscale-makes-schema-changes | How PlanetScale makes schema changes — PlanetScale | planetscale.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/8fa65aa98ee606a9c4c15ddfaea0c405bb67e4df.png | commercial | blog_post | 4 | 4 |
| https://planetscale.com/docs/terraform | PlanetScale Terraform provider - PlanetScale | planetscale.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/8fa65aa98ee606a9c4c15ddfaea0c405bb67e4df.png | commercial | comparison | 3 | 3 |
| https://planetscale.com/docs/vitess/architecture | PlanetScale Vitess architecture | planetscale.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/8fa65aa98ee606a9c4c15ddfaea0c405bb67e4df.png | commercial | documentation | 2 | 2 |
| https://planetscale.com/docs/postgres/branching | Branching - PlanetScale | planetscale.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/8fa65aa98ee606a9c4c15ddfaea0c405bb67e4df.png | commercial | documentation | 2 | 2 |
| https://planetscale.com/docs/cli/deploy-request | planetscale.com · docs · cliPlanetScale CLI commands: deploy-request | planetscale.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/8fa65aa98ee606a9c4c15ddfaea0c405bb67e4df.png | commercial | documentation | 2 | 2 |



## 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 | ...\| Pi Stack](https://www.pistack.xyz/posts/2026-06-16-self-hosted-database-dev-test-environments-dblab-neon-supabase/) PlanetScale(MySQL/Vitess)\| Managed MySQL with branching\| Large-scale MySQL apps\| Branching model allows dev DBs that mirror produc... |
| 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 | ...PostgreSQL, MySQL, SQL Server, SQLite, MongoDB on platforms like AWS RDS, Azure Database, Google Cloud SQL, Supabase, PlanetScale.Best ORM Tools in 2026 \| techstack.sh Drizzle ORM\| SQL-fi... |



## 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 | 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. |



## Trend

Visibility delta: 2.327272727272727
Avg position delta: 3.476851851851852
Citation count delta: 19