QuestDB review
A strong fit for teams wanting SQL, flexible ingestion, and self-managed time-series infrastructure.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
QuestDB is an open-source time-series database for financial market data, telemetry, and real-time analytics. It is aimed at teams that want SQL alongside time-series capabilities, with a column-oriented, time-partitioned storage engine and multiple ingestion options. Deployments can be self-managed across Docker, Kubernetes, bare metal, Windows, macOS, and Linux, while the product also provides a web console and REST HTTP API.
The Open Source plan uses an Apache 2.0 licensed core and supports self-managed deployment. Its feature set includes SQL with time-series extensions, InfluxDB Line Protocol over HTTP and TCP, the QuestDB native wire protocol, configurable retention through TTL and partition management, and materialized views for time-series aggregation. The Enterprise plan adds high-availability replication with primary and read replicas, RBAC, SSO, TLS, tiered storage, automated backups, and cloud, on-premises, hybrid, or BYOC deployment. Enterprise pricing is contact-based, so organizations should assess that commercial process alongside their infrastructure requirements.
QuestDB fits ecosystems built around Kafka, Redpanda, Telegraf, Apache Flink, Grafana, Pandas, Polars, Apache Spark, Apache Superset, Apache Parquet, and Apache Iceberg. Parquet and object-storage tiering extend its role across active and historical data, while SQL keeps querying familiar for teams already working with relational tools. Choose QuestDB when open-source deployment, SQL access, protocol flexibility, and time-series aggregation are central requirements. Teams that need replication, security controls, or automated backups must choose Enterprise, and organizations seeking a fully managed operating model should evaluate whether its available deployment options match their preferred division of infrastructure responsibility.
QuestDB pros and cons
- Where it wins
- Apache 2.0 core with self-managed deployment
- SQL extensions, retention policies, and materialized views
- Integrates with Kafka, Grafana, Spark, and Parquet
- Where it doesn't
- High availability and replication are Enterprise features
- Enterprise pricing is contact-based
- Self-managed deployment requires infrastructure ownership
QuestDB fact sheet, pricing and score →
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