# PingCAP AI visibility in Databases & Data Infrastructure

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

[Website](https://www.pingcap.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: 6
Total brands: 15
Measured responses: 150
Presence percent: 6
Share of voice percent: 7.065217391304348
Average position: 6.3076923076923075
Docs presence percent: 4
Blog presence percent: 0.6666666666666667
Brand mention percent: 5.333333333333334


## Profile

Overview: PingCAP is a Silicon Valley–headquartered database company founded in 2015 by infrastructure engineers Max Liu (CEO) and Ed Huang (CTO). Its flagship product, TiDB, is an open-source, MySQL-compatible distributed SQL database designed for horizontal scalability, high availability, and Hybrid Transactional and Analytical Processing (HTAP). TiDB combines a row-store engine (TiKV) and a columnar engine (TiFlash) to serve OLTP and OLAP workloads from a single system, eliminating the need for separate data warehouses. Available as TiDB Cloud (managed DBaaS on AWS, GCP, Azure) or self-managed on Kubernetes, TiDB targets enterprises, SaaS providers, and AI-native companies. It is adopted by customers including Atlassian, Pinterest, Plaid, Bolt, Rakuten, and Manus. The TiDB GitHub repository has over 40,000 stars and TiKV is a CNCF Graduated project.
Product summary: TiDB is an open-source, MySQL-compatible distributed SQL database built for elastic horizontal scale, high availability, and HTAP (Hybrid Transactional and Analytical Processing). Developed by PingCAP, it unifies OLTP, real-time analytics, and native vector search in a single engine—replacing separate transactional databases, data warehouses, and vector stores. TiDB Cloud offers fully managed serverless and dedicated tiers on AWS, GCP, and Azure, while TiDB Self-Managed runs on Kubernetes or bare metal. As of 2025–2026, PingCAP positions TiDB as the primary database for agentic AI workloads, emphasizing ACID consistency, multi-tenant isolation, autoscaling to zero, and MCP-based AI agent connectivity.


### Key capabilities

- MySQL 8.0-compatible distributed SQL with no application code changes required for migration
- HTAP: simultaneous OLTP (TiKV row-store) and OLAP (TiFlash columnar-store) in one engine
- Horizontal elastic scaling with automatic sharding and no manual intervention
- Native vector search for AI/RAG workloads alongside transactional and analytical data
- ACID-compliant distributed transactions using two-phase commit and Raft consensus
- 99.99% high availability with automated failover via Raft consensus protocol
- Online DDL and zero-downtime schema changes
- TiDB Cloud: fully managed DBaaS on AWS, GCP, and Azure with scale-to-zero and instant branching
- Multi-tenant workload isolation with per-tenant RU (Request Unit) quotas
- Open-source under Apache 2.0 with 40K+ GitHub stars; enterprise features included



### Target users

- Engineering teams at large enterprises or high-growth startups hitting MySQL/PostgreSQL scalability limits
- SaaS platform engineers building multi-tenant architectures requiring schema-per-tenant at scale
- Fintech and payments engineers requiring strong consistency, high availability, and compliance
- AI/ML platform engineers building agentic applications needing vector search + ACID transactions
- Database reliability engineers (DREs) migrating away from sharded MySQL or Amazon Aurora
- E-commerce and digital-native teams managing high-throughput mixed read/write workloads



### Key use cases

- Replacing sharded MySQL or Aurora at scale (MySQL modernization)
- Multi-tenant SaaS platforms requiring millions of tables and schema-per-tenant isolation
- Real-time HTAP: running analytics directly on operational data without ETL
- Agentic AI backends: persistent agent memory, state management, and vector retrieval
- Fintech and payment systems requiring strong consistency and high availability
- E-commerce and loyalty platforms handling high-throughput transactional writes
- Cost reduction by consolidating separate OLTP and OLAP databases into one system
- Cloud-native microservices and Kubernetes-based infrastructure

Integrations ecosystem: TiDB integrates natively with Kubernetes via TiDB Operator, Apache Spark via TiSpark for HTAP OLAP queries, Apache Kafka and Confluent Platform via TiCDC change-data-capture, and Apache Flink for stream processing. Additional verified integrations include Terraform (infrastructure-as-code), Vercel, Netlify, Zapier, Airbyte, Amazon AppFlow, Datadog, Grafana, Prometheus, New Relic, dbt, DBeaver, Navicat, PrestoDB, Apache Iceberg, LangChain, LlamaIndex, and n8n. TiDB also supports an MCP (Model Context Protocol) server for AI agent connectivity. The open-source ecosystem includes TiKV (CNCF Graduated key-value storage), TiFlash (columnar analytics engine), TiCDC (change data capture), TiDB Data Migration (DM), TiDB Lightning (bulk import), and OSSInsight (GitHub analytics explorer). PingCAP expanded its Microsoft Azure collaboration in July 2025, offering TiDB Cloud Dedicated in public preview on Azure.
Pricing summary: TiDB Cloud Starter: free tier with 25 GiB row storage, 25 GiB column storage, and 250M Request Units (RUs) per month per organization; additional storage at $0.20/GiB and $0.10/1M RUs; supports scale-to-zero. TiDB Cloud Essential (preview): usage-based autoscaling compute up to 100K RU, point-in-time backup, 99.99% multi-zone availability; approximately $20/day for a small production workload. TiDB Cloud Dedicated: starts at $0.22/hr (approximately $1,376/month for a 4 vCPU baseline configuration); available on AWS, GCP, and Azure; PCI-DSS and SOC 2 Type II compliant. TiDB Self-Managed: pricing upon request; supports on-premises, private cloud, and hybrid environments. TiDB Community (open-source): free to download and self-host under Apache 2.0.
Review summary: PingCAP's TiDB earns consistently high marks from enterprise users on both Gartner Peer Insights and G2. As of March 2025, PingCAP was the sole vendor in Gartner's Cloud DBMS Voice of the Customer report to receive a 4.9/5 overall peer rating, earning Customers' Choice recognition in both 2024 and 2025. On G2, TiDB holds a 4.6/5 rating across 67 verified reviews and was named a Leader in three G2 Summer 2025 Grid reports (DBaaS, DBMS, and Relational Databases). Users consistently praise horizontal scalability and MySQL compatibility. Criticisms include tuning complexity, longer ramp-up time, and missing MySQL features (stored procedures, triggers).
Competitive positioning: PingCAP positions TiDB as the premier open-source, MySQL-compatible distributed SQL database for organizations that have outgrown single-node relational databases and need horizontal scalability, HTAP (simultaneous OLTP and OLAP), and high availability without sharding complexity. Unlike pure OLTP competitors (e.g., PlanetScale) or pure analytics engines, TiDB's dual TiKV (row-store) and TiFlash (column-store) architecture handles both transactional and analytical workloads in one system, eliminating ETL pipelines. PingCAP increasingly targets agentic AI workloads, positioning TiDB as 'the database for AI agents' with native vector search, ACID consistency, elastic autoscaling, and multi-tenant isolation—differentiating from Postgres-based competitors by emphasizing MySQL compatibility and schema scalability proven at millions-of-tables scale (e.g., Atlassian Forge).
Limitations: TiDB does not support MySQL stored procedures, triggers, or user-defined functions, which can block lift-and-shift migrations for legacy MySQL workloads that rely on these features. The distributed architecture introduces higher baseline resource requirements and operational complexity compared to single-node MySQL, making it potentially overkill for small or low-traffic applications. TiDB Cloud Starter and Essential tiers have feature gaps relative to Dedicated, including no VPC Peering, no customer-managed encryption keys (CMEK), no database audit logging (Starter), no third-party monitoring integrations, and connection idle timeout limits. Typical implementation time is reported at ~5 months on G2. Some users note the need for performance tuning before achieving optimal high-throughput results.


### Source urls

- https://www.pingcap.com/
- https://www.pingcap.com/about-us/
- https://www.pingcap.com/pricing/
- https://www.pingcap.com/integrations/
- https://github.com/pingcap/tidb
- https://github.com/pingcap
- https://www.pingcap.com/press-release/pingcap-the-company-behind-tidb-raises-270-million-in-series-d-funding/
- https://www.pingcap.com/press-release/pingcap-2025-customers-choice-gartner-peer-insights-cloud-database-management-systems/
- https://www.globenewswire.com/news-release/2024/05/29/2889829/0/en/PingCAP-Receives-Customers-Choice-Distinction-in-the-2024-Gartner-Peer-Insights-Voice-of-the-Customer-for-Cloud-Database-Management-Systems.html
- https://www.g2.com/products/tidb/reviews
- https://www.gartner.com/reviews/market/cloud-database-management-systems/vendor/pingcap/product/tidb
- https://tracxn.com/d/companies/pingcap/__fYybWiFfmjNK0hJZgdlj0JiGtGvK9rFRupmMP7aYTis/funding-and-investors
- https://www.pingcap.com/press-release/tidb-earns-triple-category-leadership-g2-summer-2025-grid-reports/
- https://en.wikipedia.org/wiki/TiDB
- https://docs.pingcap.com/tidb/stable/tidb-limitations/
- https://docs.pingcap.com/tidbcloud/serverless-limitations/
- https://www.pingcap.com/blog/ten-years-on-we-set-off-again-my-journey-with-tidb/

Reviewed at: 2026-04-28T23:22:54.426+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Atlassian | Replaced 750+ sharded PostgreSQL clusters with 16 TiDB clusters to power the Forge platform, scaling to 3M+ tables and 500K concurrent connections per cluster with zero-downtime. | 750+ PG clusters → 16 TiDB clusters; 3M+ tables per cluster |
| Pinterest | Modernized its graph service with TiDB, eliminating manual sharding and achieving dramatic latency and cost improvements. | 10x P99 latency reduction; 50%+ infrastructure cost savings |
| Plaid | A team of six engineers migrated nearly 100 services from Amazon Aurora to TiDB over 2.5 years, drastically reducing maintenance overhead and per-service cutover downtime. | 96% less maintenance; <60 seconds cutover downtime per service |
| Bolt | Replaced MySQL with TiDB to power order creation, billing, and payments across 500+ cities, sustaining high throughput with significant data compression and 99.99% uptime during 400% growth. | 35K QPS sustained; 3x data compression |
| Dify | Replaced nearly 500,000 database containers with a single TiDB Cloud instance, unifying vectors, documents, and relational data for its open-source LLM platform. | ~500K containers replaced; 90% less overhead |
| Rakuten | Adopted TiDB to power its loyalty program aggregation layer, handling high write throughput and concurrent queries with low average response time. | 25,000 writes/sec; 17ms average response time |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| Gartner Peer Insights | 4.9 | 5 | 165 | https://www.gartner.com/reviews/market/cloud-database-management-systems/vendor/pingcap/product/tidb |
| G2 | 4.6 | 5 | 67 | https://www.g2.com/products/tidb/reviews |



### Review themes



#### Praised

- Horizontal scalability without manual sharding
- MySQL compatibility enabling low-friction migrations
- HTAP: real-time analytics on transactional data without ETL
- High availability and 99.99% uptime
- Active open-source community and documentation
- Strong enterprise support and responsiveness
- Online DDL with zero-downtime schema changes
- Cost-effective fully managed cloud service (TiDB Cloud)



#### Criticized

- Missing MySQL features: no stored procedures, triggers, or user-defined functions
- Overkill and resource-intensive for small-scale or simple workloads
- Performance tuning required to reach optimal high-throughput results
- Longer implementation and ramp-up time (~5 months per G2 averages)
- TiDB Cloud Starter/Essential feature gaps vs. Dedicated (no CMEK, no VPC peering, no audit logging)
- Higher operational complexity compared to single-node MySQL




### Company facts

Founded year: 2015
Hq: Sunnyvale, CA, USA


#### Founders

- Max Liu
- Ed Huang

Employees range: 201-500
Total funding: ~$342M
Valuation: ~$3B
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 | 2 | 8 |
| google-ai-mode | 3 | 12 |
| bing-copilot-search | 1 | 4 |
| chatgpt-search | 3 | 12 |
| google-ai | 0 | 0 |
| xai-search | 0 | 0 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which columnar databases handle mixed OLAP and OLTP workloads well — when does it make sense to use one over a standard row-store? | 3 | 1.6666666666666667 |



## Gaps

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



## Topic scores

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



## 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: 15
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: 1
Google-ai-mode: 2
Bing-copilot-search: Not available
Chatgpt-search: 2
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: 5
Google-ai-mode: 6
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: 4
Bing-copilot-search: 6
Chatgpt-search: 9
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://www.pingcap.com/compare/best-distributed-sql-databases/ | Best Distributed SQL Databases 2026 \| TiDB | pingcap.com | Not available | commercial | article | 6 | 6 |
| https://docs.pingcap.com/tidb/stable/tiflash-overview/ | TiFlash Overview | docs.pingcap.com | Not available | commercial | documentation | 4 | 4 |
| https://docs.pingcap.com/tidb/stable/explore-htap/ | docs.pingcap.com › tidb › stableExplore HTAP \| TiDB Docs | docs.pingcap.com | Not available | commercial | documentation | 3 | 3 |
| https://docs.pingcap.com/developer/dev-guide-hybrid-oltp-and-olap-queries/ | HTAP Queries \| TiDB Docs - PingCAP | docs.pingcap.com | Not available | commercial | documentation | 2 | 2 |
| https://docs.pingcap.com/tidb/v8.1/high-availability-faq/ | High Availability FAQs - v8.1 \| TiDB Docs | docs.pingcap.com | Not available | commercial | documentation | 2 | 2 |
| https://docs.pingcap.com/tidb/stable/migration-overview/ | Data Migration Overview \| TiDB Docs | docs.pingcap.com | Not available | commercial | documentation | 1 | 1 |
| https://docs.pingcap.com/tidb/stable/placement-rules-in-sql/ | Placement Rules in SQL | docs.pingcap.com | Not available | commercial | documentation | 1 | 1 |
| https://docs.pingcap.com/tidb/stable/multi-data-centers-in-one-city-deployment/ | Multiple Availability Zones in One Region Deployment | docs.pingcap.com | Not available | commercial | documentation | 1 | 1 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| Which distributed SQL databases handle automatic failover most reliably when a node goes down — with the fastest recovery times? | bing-copilot-search | pingcap.com/compare/best-distributed-sql-databases/) Microsoft SQL Server (Always On Availability Groups)\| Built-in mirroring & health checks\| Enterprise-grade failover, but typically slower than native distributed SQL systems\| Enterprises with est... |
| Which distributed SQL platforms support migrating from a legacy relational database with minimal downtime for a production application? | google-ai | TiDB (PingCAP) TiDB is a MySQL-compatible distributed SQL database that offers a robust suite of native migration tools collectively known as the TiDB Data Migration (DM) platform and TiDB Lightning . * TiDB Lightning: Designed for high-... |
| Which distributed SQL platforms support migrating from a legacy relational database with minimal downtime for a production application? | chatgpt-search | pingcap.com/?utm_source=chatgpt.com) ## 4. Google Cloud Spanner Worth evaluating when global availability, strong consistency, and managed operations are higher priorities than preserving the existing database's exact behavior. |



## Competitor excerpts

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



## Trend

Visibility delta: 3.563636363636363
Avg position delta: 1.3076923076923075
Citation count delta: 9