QuestDB

Key features

• Million-row ingestion with out-of-order handling QuestDB ingests millions of events per second per node, with built-in deduplication and out-of-order correction so late or repeated ticks do not corrupt the record.[1][2]

• Time-series SQL extensions SAMPLE BY, ASOF JOIN, LATEST ON, and window functions express downsampling and point-in-time joins directly in SQL instead of application code.[1]

• PostgreSQL-wire compatibility Existing Postgres drivers, BI tools, and ORMs connect to QuestDB, which lowers the cost of adopting it inside a Postgres-shaped data layer.[1][2]

• InfluxDB line-protocol compatibility Collectors and agents that already emit InfluxDB line protocol can send data to QuestDB, which simplifies migration off InfluxDB setups.[1]

• Native QWP client libraries First-party Java, Python, Rust, C/C++, Go, and .NET clients speak a binary protocol with store-and-forward durability for high-throughput ingest and streaming queries.[1]

• Open Parquet and Arrow storage Tables can live in Parquet directly and interoperate with Iceberg and Arrow, so the same data stays readable by outside engines instead of being locked in a proprietary format.[1][2]

• Single-binary self-hosting QuestDB runs from one Docker command, a Homebrew install, or Linux, Windows, and no-JVM binaries, with a built-in web console for exploration and queries.[1]

• Enterprise high availability and governance The paid tier adds replication with automatic failover, TLS, SSO over OAuth 2.0 and OIDC, RBAC with audit logs, and SLA-backed creator support for production workloads.[1]

Who will love it

• Market-data engineering teams Teams that need tick capture, order-book replays, and intraday risk math in SQL will value the ingestion rate and ASOF JOIN semantics.[1][2]

• IoT and telemetry platform teams Teams that run their own infrastructure will value single-binary self-hosting with open Parquet storage they can also read from other engines.[1][2]

• Migrating InfluxDB shops Shops whose collectors already emit line protocol can switch ingestion with less re-instrumentation while keeping SQL as the query language.[1][2]

Who should avoid it

• Managed-serverless seekers Teams that need a fully managed serverless database should avoid the open-source edition, since operating, scaling, and backing it up is the operator's job outside Enterprise arrangements.[1][2]

• Non-technical dashboard users There is no built-in BI suite; QuestDB expects Grafana, notebooks, or application code on top of the database.[1]

• Residency-constrained organizations No public data-location or residency options were documented in the sources reviewed, so organizations with such requirements should confirm before adopting.[1]

Compatibility