AI visibility report
PlanetScale ranks #7 in Databases & Data Infrastructure AI search.
Outside the top three on 19 of the 25 prompts buyers actually ask.
PingCAP is cited on 6 of those losses.
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Track PlanetScale across these prompts daily.
Start free trial#7 among 15 vendors · still absent from 98% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
ChatGPT
Bing Copilot
Perplexity
Google AI Mode
Gemini Search
GrokNarrower footprint, stronger tone. PlanetScale ranks #7 on presence but #3 on sentiment. That means the brand is framed well when it appears, but still needs broader prompt-response coverage.
Where PlanetScale is losing
Prompts where competitors are visible and PlanetScale is not.
These prompt-level losses are the first prompts to track and repair.
Where PlanetScale is winning
No clear strengths identified yet.
Where PlanetScale is losing5
Which document databases handle schema evolution most smoothly — without requiring migration scripts for every change?
Competitors on 4 platforms
Track this promptWhich time-series databases maintain query performance best at 10 million events per second ingestion over long retention periods?
Competitors on 4 platforms
Track this promptWhich globally distributed SQL databases are worth evaluating for a latency-sensitive SaaS product compared to a traditional single-region setup?
Competitors on 3 platforms
Track this promptWhich distributed SQL platforms support migrating from a legacy relational database with minimal downtime for a production application?
Competitors on 3 platforms
Track this promptWhich columnar databases handle mixed OLAP and OLTP workloads well — when does it make sense to use one over a standard row-store?
Competitors on 3 platforms
Track this prompt
Track PlanetScale daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
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.
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 Facts
- Founded
- 2018
- HQ
- San Francisco, CA
- Founders
- Jiten Vaidya, Sugu Sougoumarane, Sam Lambert
- Employees
- 51-100
- Funding
- $105M
- Status
- Private
Target users
Key Capabilities10
- 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
Key Use Cases7
- 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
PlanetScale customer outcomes
64% cost reduction and 50% p99 latency reduction after moving to PlanetScale Metal
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
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.
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.
Recent Trend
How AI describes PlanetScale3
...rm=3" style="aspect-ratio: 4 / 3;"></button></div></div></div><span class="text-foreground-750 text-sm-strong text-start">PlanetScale</span><span class="text-foreground-650 text-sm text-start">MySQL on Vitess</span><div class="contents"><div class=""><di...
What's the fastest serverless relational database to spin up and connect to a Node.js backend for a new SaaS app?
...ma, TypeORM, Knex.js | Postgres-first, modern DX, built-in auth & APIs | Less enterprise-grade scaling than AWS/GCP | | PlanetScale | Prisma, Drizzle ORM, TypeORM | MySQL-compatible, schema branching, strong JS tooling | No native Postgres support |...
Which managed database platforms have the best ORM and query builder compatibility for JavaScript and Python ecosystems?
Essential Multi-Cloud Database Tools 2026 - Compare 19+ Options | C... | | PlanetScale | Managed SQL (Vitess) | Serverless scaling; MySQL‑compatible; portable across clouds | Less mature multi‑cloud replication than Atlas/Cockroachcloud.toolsinfo.co...
Which managed database platforms make multi-cloud portability practical — so moving between cloud providers isn't a nightmare?
Most cited sources5
6Branching - PlanetScale
planetscale.com·Documentation
- 4
Branching - PlanetScale
planetscale.com·Documentation
- 4
Development Environments - PlanetScale
planetscale.com·Documentation
- 3
Using the Neon serverless driver - PlanetScale
planetscale.com·Documentation
- 1
PlanetScale Postgres — PlanetScale
planetscale.com·Documentation
Alternatives in Databases & Data Infrastructure6
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.
Reviews
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
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.
Pricing
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.
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.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Bing Copilot | Perplexity | ChatGPT | Google AI Mode | Gemini Search | Grok |
|---|---|---|---|---|---|---|
Capability0/5 cited (0%) | ||||||
Which globally distributed SQL databases are worth evaluating for a latency-sensitive SaaS product compared to a traditional single-region setup? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
What in-memory caching tools integrate best with persistent databases — and which are worth adding versus just optimizing primary database queries? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which managed database platforms offer the best multi-region replication with automatic conflict resolution for write-write scenarios? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
What are the best dedicated vector databases, and how do they compare to adding vector search extensions to an existing relational database? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which columnar databases handle mixed OLAP and OLTP workloads well — when does it make sense to use one over a standard row-store? | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Developer Experience2/5 cited (40%) | ||||||
Which cloud-native database platforms handle connection pooling best for serverless workloads with unpredictable connection spikes? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which ORMs and query builders offer the best TypeScript experience for a distributed SQL database? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which time-series databases have the best query authoring and debugging experience for teams coming from relational databases? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which document databases handle schema evolution most smoothly — without requiring migration scripts for every change? | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which developer-focused databases offer the best local development experience that actually mirrors the production setup? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Integrations & Ecosystem0/5 cited (0%) | ||||||
Which developer-focused database platforms integrate best with IaC tools so database provisioning and config can be version-controlled? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
What tools sync data from a primary operational database to an analytics warehouse for real-time reporting without heavy ETL infrastructure? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which cloud database platforms support change data capture for streaming row-level changes to a message queue or event bus with low latency? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which managed database platforms have the best ORM and query builder compatibility for JavaScript and Python ecosystems? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which managed database platforms make multi-cloud portability practical — so moving between cloud providers isn't a nightmare? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Performance & Reliability0/5 cited (0%) | ||||||
Which managed database services offer the best backup and point-in-time recovery for production applications handling financial transactions? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which serverless database platforms maintain the best read/write throughput under sustained load with reliable autoscaling? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
What tools and benchmarks help compare database platforms for high-concurrency transactional workloads before committing to one? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which time-series databases maintain query performance best at 10 million events per second ingestion over long retention periods? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which distributed SQL databases handle automatic failover most reliably when a node goes down — with the fastest recovery times? | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Setup & First Run1/5 cited (20%) | ||||||
What's the fastest serverless relational database to spin up and connect to a Node.js backend for a new SaaS app? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which distributed SQL platforms support migrating from a legacy relational database with minimal downtime for a production application? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
I'm evaluating managed cloud databases versus self-hosted options for a seed-stage product — what should I look at? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which developer-focused database platforms handle schema migrations with CI/CD pipeline tooling out of the box? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which database platforms support branching so I can get a fresh isolated database copy per pull request for feature development? | Neither your brand nor a competitor was cited | A competitor was cited | Your brand and a competitor were cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | PingCAP | 6.7% | 23.0% | 0.7% | 2.0% | 6.0% | #4.7 | +0.28 |
| 2 | CockroachDB | 5.3% | 14.9% | 0.7% | 2.7% | 1.3% | #3.0 | +0.33 |
| 3 | Supabase | 4.7% | 16.2% | 4.0% | 0.7% | 18.7% | #2.8 | +0.71 |
| 4 | ClickHouse | 4.0% | 12.2% | 0.0% | 0.0% | 10.0% | #3.9 | +0.38 |
| 5 | MongoDB | 2.7% | 6.8% | 2.0% | 0.0% | 27.3% | #2.6 | +0.59 |
| 6 | QuestDB | 2.7% | 8.1% | 0.0% | 2.7% | 5.3% | #3.0 | +0.67 |
| 7 | PlanetScale | 2.0% | 6.8% | 1.3% | 0.0% | 18.0% | #4.6 | +0.82 |
| 8 | Timescale | 1.3% | 2.7% | 0.0% | 0.7% | 0.7% | #7.0 | +0.68 |
| 9 | Xata | 1.3% | 2.7% | 0.0% | 1.3% | 2.7% | #8.5 | +0.60 |
| 10 | Fauna | 0.7% | 1.4% | 0.0% | 0.0% | 1.3% | #1.0 | +0.20 |
| 11 | Neon | 0.7% | 1.4% | 0.7% | 0.0% | 22.7% | #1.0 | +0.90 |
| 12 | Redis | 0.7% | 1.4% | 0.0% | 0.0% | 12.7% | #2.0 | +0.00 |
| 13 | SingleStore | 0.7% | 1.4% | 0.0% | 0.7% | 5.3% | #3.0 | +0.20 |
| 14 | Turso | 0.7% | 1.4% | 0.7% | 0.0% | 6.7% | #5.0 | +0.85 |
| 15 | Gel | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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