# Redis AI visibility in Databases & Data Infrastructure

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

[Website](https://redis.io/)

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: 9
Total brands: 15
Measured responses: 150
Presence percent: 1.3333333333333335
Share of voice percent: 2.1739130434782608
Average position: 2
Docs presence percent: 0.6666666666666667
Blog presence percent: 0
Brand mention percent: 6.666666666666667


## Profile

Overview: Redis is an open-source in-memory data platform founded in 2011 and commercially operated by Redis Ltd. (formerly Redis Labs), headquartered in San Francisco, California. Originally a high-performance key-value cache and data structure server created by Salvatore Sanfilippo, Redis has expanded into a multi-model real-time data platform supporting caching, vector search, pub/sub messaging, streams, time series, full-text search, and generative AI use cases. It delivers sub-millisecond read and write latency by keeping data primarily in memory with optional disk persistence. Redis is offered as Redis Open Source (tri-licensed RSALv2/SSPLv1/AGPLv3 from v8.0), self-managed Redis Software with enterprise features, and as fully managed Redis Cloud on AWS, Azure, and Google Cloud. With over 10,000 enterprise customers and 73,000+ GitHub stars, Redis is widely recognized as the de facto standard for application caching and an increasingly prominent real-time context layer for AI applications.
Product summary: Redis is a real-time in-memory data platform offering a multi-model database—key-value, document (JSON), time series, vector, and probabilistic data structures—with native support for caching, pub/sub messaging, streams, full-text search, vector similarity search, and AI agent memory. Available as open source, self-managed enterprise software, or a fully managed cloud service, Redis delivers sub-millisecond latency at scale and serves use cases from application caching to GenAI-powered RAG pipelines. Its expanding AI product suite includes LangCache (fully managed semantic caching for LLMs), Redis Data Integration (CDC-based real-time sync), and integrations with major AI agent frameworks including LangChain, LangGraph, and AutoGen.


### Key capabilities

- Sub-millisecond in-memory read/write latency with optional disk persistence (AOF/RDB)
- 18+ native data structures: strings, hashes, lists, sets, sorted sets, JSON, streams, time series, vector sets, probabilistic types
- Redis Query Engine: vector search, full-text search, geospatial queries, secondary indexing, and aggregations on hash/JSON documents
- LangCache: fully managed semantic caching for LLMs with up to 70% cost reduction and 15x faster cache-hit response times
- Redis Data Integration (RDI): zero-code CDC-based real-time data sync from source databases into Redis
- Active-Active geo-distribution with 99.999% uptime SLA and local sub-millisecond latency across regions
- Pub/Sub messaging and Streams for event-driven architectures and real-time data pipelines
- Flexible deployment: Redis Cloud (fully managed, AWS/Azure/GCP), Redis Software (self-managed enterprise), Redis Open Source
- Redis Insight GUI with Redis Copilot AI assistant for data visualization, debugging, and query development
- Auto-Tiering / Redis Flex: hybrid RAM + SSD storage for up to 75% cost reduction on large datasets



### Target users

- Backend and full-stack developers building real-time, high-traffic applications
- AI/ML engineers building GenAI applications, RAG pipelines, and AI agent memory layers
- Platform and infrastructure engineers managing low-latency data tiers at scale
- Enterprise architects at financial services, gaming, retail, and healthcare companies
- DevOps and SRE teams requiring high-availability, geo-distributed data infrastructure
- Startups and growth-stage companies needing fast, managed cloud database infrastructure



### Key use cases

- Application caching and database query caching to reduce backend load and latency
- Session management and authentication token storage for web and mobile applications
- Vector database and AI agent memory layer for RAG pipelines and GenAI applications
- LLM semantic caching to reduce token costs and improve chatbot/agent response times
- Real-time leaderboards, rate limiting, and analytics using sorted sets and HyperLogLog
- Event streaming and pub/sub messaging between microservices
- Distributed session storage and feature stores for machine learning pipelines
- Fraud detection and risk scoring using real-time in-memory data processing

Integrations ecosystem: Redis integrates natively with AWS, Microsoft Azure, and Google Cloud for managed deployments. Cloud marketplace availability on all three major hyperscalers. Monitoring integrations with Prometheus/Grafana, Datadog, New Relic, and Dynatrace. AI/ML framework integrations include LangChain, LlamaIndex, LangGraph, AutoGen, Cognee, and Amazon Bedrock. Agent memory framework support for LangGraph, AutoGen, and A2A protocols. Client libraries are officially supported for Python (redis-py, RedisVL), Java (Jedis, Lettuce), Node.js, Go, PHP, .NET (NRedisStack/StackExchange.Redis), Ruby, Rust, C, and C++. Infrastructure integrations with Docker, Kubernetes (via Redis Kubernetes Operator), and Heroku. Redis Data Integration (RDI) supports CDC-based ingestion from traditional relational databases. Redis Insight GUI is available standalone and embedded in Redis Cloud. Redis MCP server enables LLM agent tool integration. Vercel integration is supported for edge deployments.
Pricing summary: Redis Cloud is offered in three tiers: Free (always free, 30MB, shared deployment, community support); Essentials (from $0.007/hour, approximately $5/month minimum, shared deployment, 250MB–100GB RAM+SSD, SAML SSO, RBAC, encryption, up to 99.99% SLA); and Pro (from $0.014/hour with a minimum ~$200/month, dedicated deployment, unlimited RAM, multi-region active-active, auto-tiering, up to 99.999% SLA). Redis Flex (hybrid RAM+SSD) is available under Essentials and Pro for up to 75% lower cost on large datasets. Redis Software (self-managed enterprise) and Redis for Kubernetes are available on annual plans with custom enterprise pricing. All Redis Cloud tiers are available on AWS, Azure, and Google Cloud. Redis Open Source is free to download and self-host.
Review summary: Redis receives consistently strong reviews across platforms, praised almost universally for its exceptional speed, simplicity, and reliability for caching and session management workloads. Reviewers on G2 and Gartner Peer Insights highlight sub-millisecond performance and ease of integration with multiple programming languages as standout strengths. Common criticisms center on enterprise licensing cost (perceived as high for smaller teams), the learning curve for Redis Cluster configuration at scale, and the platform's limitations as a sole primary database for complex query workloads. G2 reviewers note that backup complexity for large-scale deployments and limited built-in query language (compared to SQL) are practical pain points.
Competitive positioning: Redis positions itself as 'the real-time context engine for AI apps,' differentiating through extreme speed (sub-millisecond in-memory latency), a uniquely broad multi-model data structure set (18+ types including vector sets, JSON, streams, and probabilistic structures), and an evolving AI/GenAI stack anchored by LangCache semantic caching and native vector search. Unlike MongoDB or SingleStore, Redis's primary identity is performance-first in-memory infrastructure rather than an OLTP or analytical primary database. Redis competes directly against managed caching services (Amazon ElastiCache, Google Memorystore) and increasingly against purpose-built vector databases (Pinecone, Weaviate). Its licensing shift in 2024—from BSD-3 to RSALv2/SSPLv1, then adding AGPLv3 in v8.0—constrains cloud provider redistribution of open-source Redis, protecting commercial differentiation for Redis Cloud and Redis Software.
Limitations: Redis's primary data store is memory-resident, meaning dataset sizes are bounded by available RAM (though Redis Flex/Auto-Tiering extends to SSD). Core data-access remains effectively single-threaded per shard, limiting vertical scaling for CPU-intensive workloads. Horizontal scaling via Redis Cluster can introduce complexity—certain multi-key commands that work on single instances fail with CROSSSLOT errors in cluster mode, potentially requiring application code changes. Persistence options (AOF/RDB) introduce latency overhead and are less durable than disk-native databases. Redis is not a general-purpose relational database and lacks ACID transaction guarantees across multiple keys at scale, as well as native SQL query support. The 2024 license change from BSD-3 to RSALv2/SSPLv1 (with AGPLv3 added in v8.0) raised community concerns and prompted several open-source forks (Valkey, Dragonfly). Enterprise licensing costs are frequently cited as a barrier for smaller teams.


### Source urls

- https://redis.io/
- https://redis.io/pricing/
- https://redis.io/customers/axis-bank/
- https://redis.io/customers/
- https://redis.io/docs
- https://github.com/redis/redis
- https://en.wikipedia.org/wiki/Redis_(company
- https://www.g2.com/products/redis-software/reviews
- https://www.g2.com/products/redis-cloud/reviews
- https://www.gartner.com/reviews/market/cloud-database-management-systems/compare/microsoft-vs-redis
- https://tracxn.com/d/companies/redis/__ZNyFhhx9tB5dg375xKD-Q5CKJWLczipZAl_8lKiPq_Y/funding-and-investors
- https://analyticsindiamag.com/ai-news-updates/redis-expands-ai-strategy-in-india-acquires-decodable-and-launches-langcache/
- https://redis.io/blog/fall-release-2025/

Reviewed at: 2026-04-28T23:21:58.445+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Axis Bank | Axis Bank used Redis Data Integration (RDI) to power its mobile banking app for over 10 million daily users, achieving dramatically faster data retrieval and eliminating manual intervention for account updates. The deployment reduced user wait times from 170ms to 40ms and saved $ | 76% faster performance; wait times from 170ms to 40ms; $82,000 saved |
| Mangoes.ai | Mangoes.ai deployed Redis LangCache for its healthcare voice assistant application, achieving a 70% cache hit rate that translated directly into 70% savings on LLM API spend while delivering 4x faster responses for real-time patient interactions. | 70% cache hit rate; 70% LLM cost reduction; 4x faster responses |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.5 | 5 | 134 | https://www.g2.com/products/redis-software/reviews |
| G2 | 4.6 | 5 | 44 | https://www.g2.com/products/redis-cloud/reviews |
| Gartner Peer Insights | 4.7 | 5 | 210 | https://www.gartner.com/reviews/market/cloud-database-management-systems/vendor/redis |



### Review themes



#### Praised

- Extremely fast, sub-millisecond performance
- Simple API and easy to get started
- Rich and versatile data structure support
- Reliable for caching and session management
- Strong multi-language client library ecosystem
- Great for pub/sub and real-time event streaming
- Active open-source community and good documentation
- Improves application latency and reduces database load



#### Criticized

- High enterprise/commercial licensing costs for smaller teams
- Dataset size limited by available RAM
- Complex cluster configuration and CROSSSLOT errors at scale
- Not suitable as a sole primary database for complex queries
- Persistence (AOF/RDB) adds latency and operational complexity
- License change from BSD-3 created open-source community uncertainty
- Backup and recovery complexity for large-scale deployments




### Company facts

Founded year: 2011
Hq: San Francisco, CA, USA


#### Founders

- Ofer Bengal
- Yiftach Shoolman

Employees range: 1000-5000
Total funding: ~$355M
Valuation: $2B
Arr: Not available
Customer count: 10,000+
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 | 1 | 4 |
| google-ai-mode | 0 | 0 |
| bing-copilot-search | 0 | 0 |
| chatgpt-search | 1 | 4 |
| google-ai | 0 | 0 |
| xai-search | 0 | 0 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| What in-memory caching tools integrate best with persistent databases — and which are worth adding versus just optimizing primary database queries? | 2 | 1.5 |



## 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 | 1 |
| 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: 1
Google-ai-mode: Not available
Bing-copilot-search: Not available
Chatgpt-search: 2
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

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://redis.io/docs/latest/develop/use-cases/cache-aside/ | Redis cache-aside \| Docs | redis.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/9aaaf792ced80973345e00f0757724766b2a9b6a.png | commercial | comparison | 6 | 6 |
| https://redis.io/tutorials/howtos/solutions/microservices/caching.md | redis.io - caching.md | redis.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/9aaaf792ced80973345e00f0757724766b2a9b6a.png | commercial | documentation | 2 | 2 |
| https://redis.io/compare/memcached/ | Memcached vs Redis: fast caching for devs | redis.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/9aaaf792ced80973345e00f0757724766b2a9b6a.png | commercial | comparison | 1 | 1 |
| https://redis.io/tutorials/what-is-redis/ | What is Redis? In-memory database, cache, and message broker | redis.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/9aaaf792ced80973345e00f0757724766b2a9b6a.png | commercial | comparison | 1 | 1 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| Which managed database platforms offer the best multi-region replication with automatic conflict resolution for write-write scenarios? | bing-copilot-search | Redis Enterprise Active‑Active: Uses CRDTs (Conflict‑Free Replicated Data Types) to automatically merge concurrent updates without data loss. |
| Which developer-focused database platforms integrate best with IaC tools so database provisioning and config can be version-controlled? | bing-copilot-search | ...tuning, role management Snowflake\| Terraform provider\| IaC for warehouses, roles, policies, and resource monitors Redis Enterprise / Elasticache\| Terraform & Pulumi providers\| IaC for caching clusters, failover, networking ## 🚀 Why The... |
| Which developer-focused databases offer the best local development experience that actually mirrors the production setup? | bing-copilot-search | 👉 Curious: Do you want me to focus more on Postgres-based solutions (since most modern dev stacks lean that way), or would you like a cross-database comparison including NoSQL options like MongoDB and Redis? |



## 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: -0.21818181818181803
Avg position delta: -1.5
Citation count delta: 0