# Fauna AI visibility in Databases & Data Infrastructure Canonical: https://devtune.ai/verticals/databases-data-infrastructure/fauna [Website](https://fauna.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: 14 Total brands: 15 Measured responses: 150 Presence percent: 0 Share of voice percent: 0 Average position: Not available Docs presence percent: 0 Blog presence percent: 0 Brand mention percent: 0.6666666666666667 ## Profile Overview: Fauna (formerly FaunaDB) was a globally distributed, serverless document-relational database delivered as a cloud API. Founded in 2012 by Twitter database engineers Evan Weaver and Matt Freels, Fauna combined the schema flexibility of document databases with strong ACID consistency and relational querying power—without requiring infrastructure provisioning, sharding, or cluster management. It served over 80,000 development teams across customers including Tyson Foods, Unilever, Lexmark, and Hannon Hill. Backed by $57M from investors including GV, Madrona Venture Group, and CRV, Fauna was particularly popular in serverless and JAMstack ecosystems via integrations with Netlify, Vercel, and Cloudflare Workers. In March 2025, Fauna announced it would shut down the managed service on May 30, 2025, citing an inability to raise capital, while committing to open-sourcing its core database technology. Product summary: Fauna was a serverless, globally distributed database delivered as a web-native cloud API, combining document model flexibility with relational querying and strong ACID consistency. Its zero-operations model—eliminating provisioning, sharding, replication management, and cluster administration—made it a favored choice for serverless and edge-compute application stacks. The service was shut down on May 30, 2025, with core technology committed to open-source release. ### Key capabilities - Document-relational data model: JSON documents with full relational joins, foreign keys, and schema enforcement - Fully serverless API delivery with zero provisioning, sharding, or cluster management - Globally distributed ACID transactions with strong consistency - Automatic horizontal scaling and multi-region replication - Native GraphQL interface with custom business logic support - Fauna Query Language (FQL) with TypeScript-like syntax - Multi-tenancy support for SaaS and team-based access patterns - Real-time event streaming (Event Feeds, GA 2024) - Built-in authentication, ABAC authorization, and SOC 2-compliant security - Schema-as-code with migration-free schema management ### Target users - Full-stack and frontend developers building serverless or edge-compute applications - SaaS teams requiring multi-tenant data isolation at scale - Startups and small teams seeking zero-ops, instant-provision database infrastructure - Engineering teams migrating away from DynamoDB, legacy RDBMS, or single-region document stores - Teams building on Netlify, Vercel, Cloudflare Workers, or AWS Lambda ### Key use cases - Serverless and JAMstack application backends - Multi-tenant SaaS platform data layers - Globally distributed transactional applications (e-commerce, fintech) - Real-time personalization and content delivery pipelines - Identity and access management systems - Gaming and esports platform backends - Legacy database modernization to cloud-native API architecture Integrations ecosystem: Fauna integrated natively with serverless and edge platforms including Netlify, Vercel, and Cloudflare Workers, and was available on AWS Marketplace. It supported integrations with Appsmith, Clerk, Pipedream, Airbyte, and AWS Lambda. Language drivers were available for JavaScript, Python, Go, Java, C#, Ruby, Scala, Swift, and Android. The product supported both a native GraphQL API and the proprietary Fauna Query Language (FQL), with a TypeScript-like syntax designed to reduce cross-paradigm friction. Pricing summary: Fauna offered a free tier with daily usage limits (storage, reads, writes). Paid plans operated on a metered model with a flat monthly commitment plus usage overages. Historical plan tiers were priced starting at approximately $22.50/month (Individual), $135/month (Pro), and $450/month (Business), with custom Enterprise pricing. The service was available on AWS Marketplace. As of May 30, 2025, Fauna no longer accepts new customers and has ceased operations. Review summary: Users on G2 (4.4/5, 25 reviews) praised Fauna's ability to eliminate database operations overhead, its globally distributed ACID transactions, the expressiveness of FQL for embedding business logic inside the database, and its generous free tier for prototyping. Common criticisms included the lack of SQL compatibility (intimidating for SQL-background developers), absence of full-text search, non-zero cost floors on paid plans, limited third-party community resources compared to established databases, and documentation that some found confusing. Reviews on AWS Marketplace echoed praise for auto-scaling and low cold-start times alongside concerns about pricing for small teams. Competitive positioning: Fauna positioned itself as a 'data API for modern applications,' uniquely combining document model flexibility with relational querying power and strong ACID consistency—all delivered as a fully serverless, zero-ops cloud API. It targeted the client-serverless architecture wave, differentiating from document DBs like MongoDB (which lacked global strong consistency), from relational serverless offerings (which often required provisioning), and from distributed SQL databases (which lacked a pure API-first, no-infrastructure model). However, the service was unable to achieve sufficient capital-efficient adoption and shut down on May 30, 2025. Limitations: Fauna had no SQL compatibility, presenting a steep learning curve for developers from relational backgrounds. The proprietary FQL language and closed-cloud-only architecture limited portability and made vendor lock-in a widely cited concern. Full-text search was not natively supported. Paid tiers operated on a flat monthly minimum plus overage model, meaning costs did not scale to zero during low-usage periods. Community resources and third-party tooling were sparse compared to established databases. The service was fully shut down on May 30, 2025 due to an inability to raise the capital needed for continued operation. ### Source urls - https://www.infoq.com/news/2025/03/fauna-shuts-down/ - https://www.theregister.com/2025/03/24/faunadb_shut_down/ - https://www.businesswire.com/news/home/20230629910392/en/Fauna-Powers-4.6-Million-Daily-Transactions-for-Leading-Software-Provider-Hannon-Hill - https://news.crunchbase.com/venture/faunadb-closes-27m-series-a-welcomes-new-leadership/ - https://www.prnewswire.com/news-releases/fauna-raises-25m-in-series-a-funding-led-by-point72-ventures-300519364.html - https://www.g2.com/products/fauna-fauna/reviews - https://fauna.com/blog/funding-to-scale-serverless-data - https://fauna.com/blog/the-future-of-fauna - https://docs.fauna.com/fauna/current/eol-faq/ - https://fauna.com/blog/how-hannon-hills-personalization-application-supports-up-to-4m-daily-transactions-aws - https://fauna.com/customers - https://pitchbook.com/profiles/company/134819-56 - https://sourceforge.net/software/product/Fauna/ - https://aws.amazon.com/marketplace/reviews/reviews-list/prodview-sq62jyakpyiym Reviewed at: 2026-04-28T23:22:59.06+00:00 ### Customer outcomes | Customer | Summary | Metric | | --- | --- | --- | | Hannon Hill | Hannon Hill adopted Fauna as the database for Clive, its real-time web personalization tool, replacing a legacy single-region MySQL-based architecture that suffered performance issues under variable traffic. Fauna enabled seamless auto-scaling and reduced maintenance burden for H | 4.6 million daily transactions supported | | Insights.gg | Insights.gg migrated from PostgreSQL and CockroachDB to Fauna to achieve global low-latency for its 100,000+ daily active gaming platform users. Fauna's intelligent multi-region routing eliminated the consistency issues and manual provisioning overhead experienced with prior data | 70% reduction in latency across all regions | ### Reviews breakdown | Platform | Score | Score max | Review count | Url | | --- | --- | --- | --- | --- | | G2 | 4.4 | 5 | 25 | https://www.g2.com/products/fauna-fauna/reviews | ### Review themes #### Praised - Zero database operations and infrastructure management - Globally distributed ACID transactions - Generous free tier for prototyping - FQL expressiveness for embedding business logic in the database - TypeScript-like FQL syntax reduces cross-paradigm context switching - Automatic scaling without server or cluster management - Low or no cold-start latency for serverless use cases - Active support team and Discord community #### Criticized - No SQL compatibility; steep learning curve for SQL-background developers - Lack of native full-text search - Paid tiers have flat monthly minimums (not true pay-per-use) - Higher pricing for individual developers and small teams - Limited community resources and Stack Overflow presence - Documentation found confusing by some users - Difficult type system to debug - Proprietary lock-in with limited on-premise or migration options ### Company facts Founded year: 2012 Hq: San Francisco / San Mateo, CA, USA #### Founders - Evan Weaver - Matt Freels Employees range: 39-46 Total funding: ~$57M Valuation: Not available Arr: Not available Customer count: ~80,000 development teams (claimed; incl Status: Shut down (service ended May 30, 2025; core tech committed t 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 | 0 | 0 | | google-ai-mode | 0 | 0 | | bing-copilot-search | 0 | 0 | | chatgpt-search | 0 | 0 | | google-ai | 0 | 0 | | xai-search | 0 | 0 | ## Strengths ## Gaps | Prompt text | Competitor presence count | | --- | --- | | Which developer-focused database platforms integrate best with IaC tools so database provisioning and config can be version-controlled? | 3 | | Which time-series databases maintain query performance best at 10 million events per second ingestion over long retention periods? | 3 | | Which 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 | 0 | | Developer Experience | 5 | 0 | | Integrations & Ecosystem | 5 | 0 | | Performance & Reliability | 5 | 0 | | Setup & First Run | 5 | 0 | ## Prompt results - Prompt text: What are the best dedicated vector databases, and how do they compare to adding vector search extensions to an existing relational database? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity | Display name | Position | | --- | --- | | PlanetScale | 4 | ##### Google-ai-mode ##### Bing-copilot-search ##### Chatgpt-search ##### Google-ai ##### Xai-search - Prompt text: What tools sync data from a primary operational database to an analytics warehouse for real-time reporting without heavy ETL infrastructure? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity ##### Google-ai-mode ##### Bing-copilot-search ##### Chatgpt-search ##### Google-ai ##### Xai-search - Prompt text: Which managed database platforms offer the best multi-region replication with automatic conflict resolution for write-write scenarios? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity ##### Google-ai-mode ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | CockroachDB | 19 | ##### Google-ai ##### Xai-search - Prompt text: Which developer-focused database platforms integrate best with IaC tools so database provisioning and config can be version-controlled? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity | Display name | Position | | --- | --- | | MongoDB | 1 | | CockroachDB | 3 | | Neon | 4 | | PlanetScale | 6 | ##### Google-ai-mode | Display name | Position | | --- | --- | | Supabase | 1 | | MongoDB | 5 | | PlanetScale | 8 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | MongoDB | 1 | | Neon | 3 | | CockroachDB | 6 | | PlanetScale | 8 | ##### Google-ai ##### Xai-search - Prompt text: What tools and benchmarks help compare database platforms for high-concurrency transactional workloads before committing to one? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity ##### Google-ai-mode ##### Bing-copilot-search ##### Chatgpt-search ##### Google-ai ##### Xai-search - Prompt text: Which cloud database platforms support change data capture for streaming row-level changes to a message queue or event bus with low latency? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity ##### Google-ai-mode ##### Bing-copilot-search ##### Chatgpt-search ##### Google-ai ##### Xai-search - Prompt text: Which developer-focused databases offer the best local development experience that actually mirrors the production setup? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity | Display name | Position | | --- | --- | | Neon | 1 | | Supabase | 3 | ##### Google-ai-mode ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | Neon | 10 | | Supabase | 13 | | MongoDB | 33 | ##### Google-ai ##### Xai-search - Prompt text: What's the fastest serverless relational database to spin up and connect to a Node.js backend for a new SaaS app? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity | Display name | Position | | --- | --- | | Neon | 1 | | Turso | 3 | | Supabase | 5 | ##### Google-ai-mode ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | Neon | 1 | | Supabase | 4 | | Turso | 6 | ##### Google-ai ##### Xai-search - Prompt text: Which time-series databases maintain query performance best at 10 million events per second ingestion over long retention periods? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity | Display name | Position | | --- | --- | | Timescale | 4 | ##### Google-ai-mode | Display name | Position | | --- | --- | | ClickHouse | 1 | | QuestDB | 2 | ##### Bing-copilot-search | Display name | Position | | --- | --- | | QuestDB | 2 | ##### Chatgpt-search | Display name | Position | | --- | --- | | ClickHouse | 1 | | QuestDB | 6 | ##### Google-ai ##### Xai-search - Prompt text: Which globally distributed SQL databases are worth evaluating for a latency-sensitive SaaS product compared to a traditional single-region setup? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity | Display name | Position | | --- | --- | | PlanetScale | 7 | ##### Google-ai-mode ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | CockroachDB | 9 | | PingCAP | 15 | ##### Google-ai ##### Xai-search - Prompt text: Which managed database services offer the best backup and point-in-time recovery for production applications handling financial transactions? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity ##### Google-ai-mode ##### Bing-copilot-search ##### Chatgpt-search ##### Google-ai ##### Xai-search - Prompt text: Which columnar databases handle mixed OLAP and OLTP workloads well — when does it make sense to use one over a standard row-store? #### Brand position by platform Perplexity: 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: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity | Display name | Position | | --- | --- | | Neon | 1 | | Supabase | 8 | ##### Google-ai-mode | Display name | Position | | --- | --- | | Neon | 2 | | PlanetScale | 5 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | Supabase | 6 | ##### Google-ai ##### Xai-search - Prompt text: Which developer-focused database platforms handle schema migrations with CI/CD pipeline tooling out of the box? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity | Display name | Position | | --- | --- | | PlanetScale | 1 | | Neon | 4 | ##### Google-ai-mode | Display name | Position | | --- | --- | | Supabase | 2 | | PlanetScale | 4 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | Supabase | 2 | | Neon | 11 | | PlanetScale | 13 | ##### Google-ai ##### Xai-search - Prompt text: What in-memory caching tools integrate best with persistent databases — and which are worth adding versus just optimizing primary database queries? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity | Display name | Position | | --- | --- | | Redis | 1 | ##### Google-ai-mode ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | Redis | 2 | ##### Google-ai ##### Xai-search - Prompt text: Which distributed SQL platforms support migrating from a legacy relational database with minimal downtime for a production application? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity | Display name | Position | | --- | --- | | CockroachDB | 1 | | PingCAP | 5 | ##### Google-ai-mode | Display name | Position | | --- | --- | | CockroachDB | 3 | | PingCAP | 6 | ##### Bing-copilot-search ##### Chatgpt-search ##### Google-ai ##### Xai-search - Prompt text: Which database platforms support branching so I can get a fresh isolated database copy per pull request for feature development? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity | Display name | Position | | --- | --- | | Neon | 2 | | PlanetScale | 3 | ##### Google-ai-mode | Display name | Position | | --- | --- | | Xata | 1 | | Supabase | 4 | | PlanetScale | 8 | ##### Bing-copilot-search ##### Chatgpt-search | Display name | Position | | --- | --- | | Neon | 1 | | Supabase | 3 | | PlanetScale | 6 | ##### Google-ai ##### Xai-search - Prompt text: Which distributed SQL databases handle automatic failover most reliably when a node goes down — with the fastest recovery times? #### Brand position by platform Perplexity: Not available Google-ai-mode: Not available Bing-copilot-search: Not available Chatgpt-search: Not available Google-ai: Not available Xai-search: Not available #### Platform rows ##### Perplexity | Display name | Position | | --- | --- | | CockroachDB | 3 | ##### Google-ai-mode | Display name | Position | | --- | --- | | CockroachDB | 3 | | PingCAP | 4 | ##### Bing-copilot-search | Display name | Position | | --- | --- | | PingCAP | 6 | ##### Chatgpt-search | Display name | Position | | --- | --- | | PingCAP | 9 | ##### Google-ai ##### Xai-search ## Top sources ## Response excerpts | Prompt text | Platform | Excerpt | | --- | --- | --- | | Which document databases handle schema evolution most smoothly — without requiring migration scripts for every change? | bing-copilot-search | ...tabase)Top 10 Best Document Database Software (2026 Review) Fauna\| API-first, serverless model with embedded authorization; schema evolves naturally with FQL queries.\| Multi-tenant SaaS... | ## 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: 0 Avg position delta: Not available Citation count delta: 0