InfluxDB vs QuestDB
On the evidence we track, InfluxDB leads this comparison with a composite score of 61/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for time-series databases. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
InfluxDB
LeaderA purpose-built database engineered to handle continuous, high-velocity time series data at scale. It delivers rapid data ingestion, real-time SQL querying, and seamless scalability across cloud, on-premises, and edge environments.
QuestDB
QuestDB is an open-source time-series database engineered for low latency, delivering ultra-low latency ingestion, high throughput, and multi-tier storage for demanding time-series workloads.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
InfluxDB
LeaderFree tier with $250 credit for 30 days; metered usage-based pricing for Cloud Serverless starting at $0.0025/MB
- Cloud ServerlessFree
- Fully managed
- Elastic
- Multi-tenant
- No minimums
- No long-term commitment
- Cloud DedicatedContact sales
- Fully managed
- Single-tenant
- Unlimited scale
- Secure private connections
- Enhanced support
- ClusteredContact sales
- Self-managed
- On-premise and private cloud
- Unlimited scale
- High availability
- Enterprise-grade security
QuestDB
Open-source Apache 2.0 free tier; QuestDB Cloud and Enterprise plans available via contact/quote
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
InfluxDB
Leader- MailChimp
QuestDB
- PostgreSQL
- Parquet
- Arrow
- Polars
- Pandas
- Debezium
- Iceberg
- MySQL
- MongoDB
- Cassandra
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.