# QuestDB AI visibility in Databases & Data Infrastructure

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

[Website](https://questdb.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: 7
Total brands: 15
Measured responses: 150
Presence percent: 4
Share of voice percent: 6.521739130434782
Average position: 7.833333333333333
Docs presence percent: 0
Blog presence percent: 2.666666666666667
Brand mention percent: 6


## Profile

Overview: QuestDB is an open-source, SQL-first time-series database founded in 2019 and headquartered in London, UK. Built from the ground up in zero-GC Java and C++ with SIMD-vectorized execution, it targets high-throughput, low-latency workloads in capital markets, IoT, and real-time analytics. The storage engine uses a write-ahead log, time-partitioned columnar format, and automated tiering to Apache Parquet on object storage—all queryable through a single SQL layer. Time-series SQL extensions include ASOF JOIN, SAMPLE BY, LATEST ON, and streaming materialized views. N-dimensional arrays support order-book analytics. QuestDB is licensed Apache 2.0; an Enterprise edition adds HA with <100ms failover, RBAC, TLS, SSO, and SLA-backed creator support. The project has over 16,700 GitHub stars and is deployed in production by B3 Exchange, HDFC Bank, Airbus, OKX, and BTG Pactual, among others.
Product summary: QuestDB is a high-performance, open-source time-series database delivering SIMD-accelerated SQL, ingestion throughput up to 8 million rows per second, multi-tier storage with native Apache Parquet support, and time-series SQL extensions (ASOF JOIN, SAMPLE BY, streaming materialized views). Targeting capital markets, IoT telemetry, and real-time analytics, it is available as Apache 2.0 open source or as QuestDB Enterprise (self-managed or BYOC) for production-grade HA, security, and scale.


### Key capabilities

- SIMD-accelerated, vectorized and parallelized SQL query engine
- High-throughput ingestion up to 8 million rows per second per server via WAL
- Multi-tier storage: WAL (hot) → native time-partitioned columnar (warm) → Apache Parquet on object storage (cold)
- Time-series SQL extensions: ASOF JOIN with TOLERANCE, SAMPLE BY, LATEST ON, WINDOW JOIN, HORIZON JOIN
- Streaming materialized views with REFRESH IMMEDIATE for live OHLC and rollup aggregations
- N-dimensional array data type for order-book snapshots and vectorized depth analytics
- PostgreSQL wire protocol compatibility for broad ecosystem tooling
- Apache 2.0 open-source with no vendor lock-in via open formats (Parquet, Arrow)
- Enterprise HA: automatic failover <100ms, multi-AZ read replicas, RBAC, TLS, SSO (OAuth 2.0/OIDC/Azure Entra ID)
- Nanosecond timestamp precision for financial tick-data and nanosecond-resolution telemetry



### Target users

- Software and data engineers building high-throughput time-series ingestion pipelines
- Quantitative analysts and traders in capital markets requiring low-latency tick data
- IoT and industrial engineers monitoring sensor and telemetry streams at scale
- Platform and infrastructure teams at financial institutions and exchanges
- AI/ML engineers needing open-format (Parquet/Arrow) time-series data infrastructure
- DevOps and SRE teams building real-time monitoring and observability platforms



### Key use cases

- Financial market data storage: tick data, OHLC bars, order books, and trade analytics
- Real-time transaction monitoring and fraud detection at banking scale
- IoT and sensor telemetry ingestion and real-time monitoring
- Exchange infrastructure, market surveillance, and latency analytics
- Predictive maintenance for aerospace, industrial, and energy equipment
- Quantitative trading, algo backtesting, and post-trade execution analysis
- Real-time streaming analytics and live operational dashboards
- AI/ML data pipelines requiring open-format (Parquet/Arrow) time-series stores

Integrations ecosystem: QuestDB ingests data via InfluxDB Line Protocol (ILP), PostgreSQL wire protocol (PGwire), and REST API. First-party client libraries are available for Python, Java, Go, Rust, C/C++, .NET, and Node.js. Key third-party integrations include Grafana (native plugin), Apache Kafka, Redpanda, Apache Flink, Apache Spark, Telegraf, Pandas, Polars, Apache Superset, MindsDB, and PowerBI. Cold storage tiers to Amazon S3, Azure Blob Storage, Google Cloud Storage, NFS, and HDFS via Apache Parquet. Deployment options include Docker, AWS AMI (Marketplace), Google Cloud Platform, DigitalOcean, and Kubernetes via Helm charts. Native SQL compatibility enables LLM/AI agent integrations with Claude, Gemini, ChatGPT, and Mistral.
Pricing summary: QuestDB Open Source is free under Apache 2.0 and fully self-managed. QuestDB Enterprise is custom-priced (contact sales) and includes high availability, RBAC with column-level controls, TLS encryption, SSO, automated tiered storage to object stores, PITR disaster recovery, and SLA-backed engineering support. A Bring Your Own Cloud (BYOC) managed deployment is available on AWS and Azure. The previously offered QuestDB Cloud fully-managed SaaS on AWS Marketplace has been discontinued in favor of BYOC. Enterprise is also available via private offer on AWS Marketplace.
Review summary: QuestDB earns a 4.8/5 on G2 from 35 verified reviews, with 91% 5-star ratings. Users consistently highlight exceptional ingestion and query performance—frequently citing it outperforming InfluxDB and TimescaleDB by significant margins—alongside ease of setup and a familiar SQL interface. The responsive, engineering-led support team accessible via Slack is frequently praised. The most cited criticisms are gaps in documentation for advanced topics, limited horizontal write scaling in the open-source tier, and occasional non-backwards-compatible upgrades.
Competitive positioning: QuestDB positions itself as the highest-performance open-source time-series database, targeting capital markets, IoT/telemetry, and real-time analytics workloads where ingestion throughput and query latency are paramount. It differentiates on SIMD-accelerated SQL, multi-tier storage (WAL → native columnar → Parquet on object storage), nanosecond timestamp precision, and zero vendor lock-in via Apache 2.0 licensing and open formats. QuestDB directly benchmarks against InfluxDB and TimescaleDB on performance, and markets itself as a developer-friendly, cost-efficient alternative to proprietary kdb+ for capital markets infrastructure.
Limitations: The open-source edition is restricted to a single instance with no built-in high availability, replication, or automatic failover; QuestDB Enterprise is required for those capabilities. Horizontal write scaling via multi-primary ingestion is listed as 'coming soon' as of early 2026, with the current open-source tier supporting vertical scaling only. The fully managed QuestDB Cloud SaaS offering on AWS has been discontinued and replaced by a Bring Your Own Cloud (BYOC) model, requiring users to supply their own cloud infrastructure. Users report documentation gaps in advanced areas such as embedded mode. No native OPC-UA protocol support for manufacturing data sources. Enterprise pricing is undisclosed and requires direct sales engagement.


### Source urls

- https://questdb.com/
- https://github.com/questdb/questdb
- https://questdb.com/enterprise/
- https://questdb.com/customers/
- https://questdb.com/about-us/
- https://www.g2.com/products/questdb/reviews
- https://tracxn.com/d/companies/questdb/__ASEPuBhQLu05cXdxRkZjaCapkasLWRfsYp3molEdW3k
- https://www.globenewswire.com/news-release/2025/04/02/3054557/0/en/QuestDB-Powers-B3-Exchange-s-Next-Generation-CSD-Platform-s-Tick-Data-Store.html
- https://www.globenewswire.com/news-release/2025/04/10/3059029/0/en/One-Trading-Chooses-QuestDB-s-Time-Series-Database-for-Its-Low-Latency-Trading-Platform.html
- https://www.globenewswire.com/news-release/2026/02/16/3238706/0/en/QuestDB-Supports-HDFC-Bank-s-Real-Time-Transaction-Monitoring-and-Risk-Analytics.html
- https://aws.amazon.com/marketplace/pp/prodview-6zl4v3a4dq27g

Reviewed at: 2026-04-28T23:21:49.028+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| XRP Ledger | Replaced a legacy cloud-based data platform with QuestDB to serve real-time market data across more than 46,000 unique trading pairs on a top-10 blockchain, achieving dramatically lower infrastructure costs. | 90% reduction in TCO |
| Reflexivity | Migrated from InfluxDB to QuestDB for its AI-driven financial analytics platform, achieving dramatically faster query response times while using a fraction of the previous hardware footprint. | 30x faster queries on 1/4 the hardware |
| One Trading | Deployed QuestDB as the core time-series store for Europe's first MiFID II-regulated crypto exchange, ingesting billions of trade records with real-time SQL query capability and 99.9% uptime. | 8 million rows/second ingestion throughput |
| HDFC Bank | Deployed QuestDB for national-scale real-time transaction monitoring and risk analytics, sustaining high query throughput from a single instance under strict latency requirements. | 5,000+ queries/second from a single instance |
| B3 Exchange | Latin America's largest stock exchange uses QuestDB Enterprise for its Central Securities Depository tick data store, processing terabytes of daily market data with sub-millisecond query performance. | 99.9% uptime with QuestDB Enterprise |
| Airtel XStream Play | Switched from Elasticsearch to QuestDB for media streaming analytics, processing billions of engagement and device records per day with improved ingestion speed and reduced query latency. | Billions of records/day ingested without latency issues |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.8 | 5 | 35 | https://www.g2.com/products/questdb/reviews |



### Review themes



#### Praised

- Exceptional ingestion and query performance
- Outperforms InfluxDB and TimescaleDB on benchmarks
- Easy setup and deployment
- Familiar standard SQL interface
- Responsive and knowledgeable engineering-led support
- Strong stability in long-running production workloads
- Rapid product evolution with frequent improvements
- Direct developer access via community Slack



#### Criticized

- Documentation gaps in advanced and embedded mode topics
- Horizontal write scaling requires Enterprise (vertical-only in open source)
- Occasional non-backwards-compatible version upgrades
- No native OPC-UA protocol support for manufacturing ingestion
- No centralized management UI for multiple instances in open-source tier




### Company facts

Founded year: 2019
Hq: London, United Kingdom


#### Founders

- Nicolas Hourcard
- Vladyslav Ilyushchenko
- Tancrede Collard

Employees range: Not available
Total funding: $14.4M
Valuation: Not available
Arr: Not available
Customer count: Not available
Status: Private


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Neon | 13 | 150 | 8.666666666666668 | 5.310344827586207 |
| Supabase | 13 | 150 | 8.666666666666668 | 9.76923076923077 |
| PlanetScale | 12 | 150 | 8 | 6.851851851851852 |
| CockroachDB | 12 | 150 | 8 | 7.421052631578948 |
| MongoDB | 9 | 150 | 6 | 4.0588235294117645 |
| PingCAP | 9 | 150 | 6 | 6.3076923076923075 |
| QuestDB | 6 | 150 | 4 | 7.833333333333333 |
| ClickHouse | 5 | 150 | 3.3333333333333335 | 5.9 |
| Redis | 2 | 150 | 1.3333333333333335 | 2 |
| SingleStore | 2 | 150 | 1.3333333333333335 | 4 |
| Timescale | 2 | 150 | 1.3333333333333335 | 5 |
| Turso | 2 | 150 | 1.3333333333333335 | 5 |
| Xata | 1 | 150 | 0.6666666666666667 | 4 |
| Fauna | 0 | 150 | 0 | Not available |
| Gel | 0 | 150 | 0 | Not available |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| perplexity | 1 | 4 |
| google-ai-mode | 1 | 4 |
| bing-copilot-search | 2 | 8 |
| chatgpt-search | 2 | 8 |
| 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 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 |
| 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 | 0 |
| Developer Experience | 5 | 1 |
| Integrations & Ecosystem | 5 | 0 |
| Performance & Reliability | 5 | 1 |
| 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: 2
Bing-copilot-search: 2
Chatgpt-search: 6
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: 1
Google-ai-mode: Not available
Bing-copilot-search: 5
Chatgpt-search: 15
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

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://questdb.com/blog/best-time-series-databases/ | The Best Time-Series Databases in 2026 (and How to Choose) \| QuestDB | questdb.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/faf16cb5c290424ebb7922375e6e066e7af85038.png | commercial | blog_post | 15 | 15 |
| https://questdb.com/docs/query/overview/ | Query & SQL Overview \| QuestDB | questdb.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/faf16cb5c290424ebb7922375e6e066e7af85038.png | commercial | documentation | 4 | 4 |
| https://questdb.com/docs/ | QuestDB Documentation: SQL time-series guides \| QuestDB | questdb.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/faf16cb5c290424ebb7922375e6e066e7af85038.png | commercial | documentation | 3 | 3 |
| https://questdb.com/blog/clickhouse-vs-questdb-comparison/ | Benchmark and comparison: QuestDB vs. ClickHouse | questdb.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/faf16cb5c290424ebb7922375e6e066e7af85038.png | commercial | blog_post | 2 | 2 |
| https://questdb.com/docs/query/sql/explain/ | QuestDB EXPLAIN documentation | questdb.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/faf16cb5c290424ebb7922375e6e066e7af85038.png | commercial | documentation | 2 | 2 |
| https://questdb.com/docs/connect/compatibility/pgwire/overview/ | PostgreSQL Wire Protocol - QuestDB | questdb.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/faf16cb5c290424ebb7922375e6e066e7af85038.png | commercial | documentation | 1 | 1 |
| https://questdb.com/docs/concepts/deep-dive/sql-extensions/ | SQL extensions and compatibility - QuestDB | questdb.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/faf16cb5c290424ebb7922375e6e066e7af85038.png | commercial | documentation | 1 | 1 |
| https://questdb.com/docs/getting-started/web-console/code-editor/ | QuestDB's code editor documentation | questdb.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/9a90dcfe-144c-484b-b3e8-1ad69eb3df89/faf16cb5c290424ebb7922375e6e066e7af85038.png | commercial | documentation | 1 | 1 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| Which time-series databases maintain query performance best at 10 million events per second ingestion over long retention periods? | bing-copilot-search | 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. |
| Which time-series databases have the best query authoring and debugging experience for teams coming from relational databases? | bing-copilot-search | ...ases in 2026: A Comparative Analysis · Dasroot](https://dasroot.net/posts/2026/04/timeseries-databases-timescaledb-influxdb-questdb/) InfluxDB 3 (IOx)\| SQL via Apache Arrow \+ DataFusion\| Modern SQL engine with strong integration into analytical wo... |
| Which time-series databases have the best query authoring and debugging experience for teams coming from relational databases? | perplexity | 2. QuestDB — a strong option when you want SQL plus a dedicated query console. |



## 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. |
| 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. |
| chatgpt-search | PingCAP | pingcap.com/tidb/stable/tiflash-overview/)Primary Key tableData Update and Delete ## 3. When does a columnar database beat a standard row-store? |
| 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: 1.1636363636363636
Avg position delta: 5.433333333333334
Citation count delta: 7