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Comparison · DevOps

Apache IoTDB vs QuestDB

A side-by-side editorial comparison of Apache IoTDB and QuestDB — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:time-series

Apache IoTDB vs QuestDB: at a glance

FeatureApache IoTDBQuestDB
SectorDevOpsDevOps
Velocity score0.06.3
Sparks · 30d01
Top themestime-series, table-model, sql-engine, iottime-series, wire-protocol, apache-arrow, benchmarks
Last editorial update9d ago1d ago
WebsiteVisit →Visit →

What is Apache IoTDB?

The table model is becoming a real SQL engine, and a C driver opens the industrial edge.

IoTDB runs two lines in parallel: 1.3.x carrying the original tree model and 2.0.x where nearly all new work lands. The 2.0 releases have been steadily building out the table model — set operations and common table expressions, window and pattern-recognition functions, JOIN variants including ASOF, approximate aggregates, user-defined table functions — turning what began as a time-series schema into something closer to a full SQL surface. Alongside that, an AINode component gained built-in forecasting models and inference for both models, and 2.0.10 added C-language driver SDK interfaces with parameter binding and multi-node failover.

Read the full Apache IoTDB trajectory →

What is QuestDB?

QuestDB 10.0 collapses ingest and egress into one binary protocol, then aims at agent-run notebooks.

QuestDB's feed mixes release notes, engineering deep dives and customer stories, and the through-line for the past month has been QWP — its own binary columnar wire protocol. It shipped in 10.0, was benchmarked against InfluxDB Line Protocol on ingestion and against ClickHouse and TimescaleDB on Arrow reads, and now has a standalone explainer covering bidirectional dataframe transfer and built-in failover. Between the protocol posts sit JIT compiler internals and production references from banks and exchanges.

Read the full QuestDB trajectory →

Apache IoTDB vs QuestDB: editorial side-by-side

A0.0

The table model is becoming a real SQL engine, and a C driver opens the industrial edge.

◆ Current state

IoTDB runs two lines in parallel: 1.3.x carrying the original tree model and 2.0.x where nearly all new work lands. The 2.0 releases have been steadily building out the table model — set operations and common table expressions, window and pattern-recognition functions, JOIN variants including ASOF, approximate aggregates, user-defined table functions — turning what began as a time-series schema into something closer to a full SQL surface. Alongside that, an AINode component gained built-in forecasting models and inference for both models, and 2.0.10 added C-language driver SDK interfaces with parameter binding and multi-node failover.

◆ Where it's heading

Two audiences are being served at once. The table model work courts analysts and existing SQL tooling, with Spark integration and Python DataFrame returns as the connective tissue; the C driver and failover handling court the embedded and industrial systems that generate the data in the first place. The 1.3 branch now receives only what can be backported — the March security hardening shipped to both lines with identical notes — which reads as a maintenance line with a finite life. Security posture also tightened noticeably in 2.0.7, which removed risky RPC interfaces and JEXL functions and changed default bind addresses to loopback.

◆ Prediction

Expect continued SQL surface expansion in the table model and more client language coverage now that the C driver exists. The 1.3 branch's end is the open question these entries do not address.

Q
QuestDB
DEVOPS
6.3

QuestDB 10.0 collapses ingest and egress into one binary protocol, then aims at agent-run notebooks.

◆ Current state

QuestDB's feed mixes release notes, engineering deep dives and customer stories, and the through-line for the past month has been QWP — its own binary columnar wire protocol. It shipped in 10.0, was benchmarked against InfluxDB Line Protocol on ingestion and against ClickHouse and TimescaleDB on Arrow reads, and now has a standalone explainer covering bidirectional dataframe transfer and built-in failover. Between the protocol posts sit JIT compiler internals and production references from banks and exchanges.

◆ Where it's heading

The protocol work is the thread that matters. QuestDB has been positioning against InfluxDB Line Protocol on ingestion throughput for a while, and 10.0 turned that from a benchmark argument into the default path both in and out of the database. The follow-up posts are consolidation rather than new capability: the same protocol re-explained for a different reader each time, which is what a project does when it needs an ecosystem to adopt a format. Live views and agent-driven notebooks remain the less-proven half of the release.

◆ Prediction

Expect client libraries and third-party connectors to be the next visible work, since a proprietary wire protocol is only worth its switching cost once the dataframe tools speak it. Whether live views leave beta is not something these entries settle.

Alternatives to Apache IoTDB and QuestDB

Other DevOps products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Apache IoTDB or QuestDB.

See all Apache IoTDB alternatives → · See all QuestDB alternatives →

Recent activity from Apache IoTDB and QuestDB

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2d agoQuestDBQWP: QuestDB's own binary wire protocol for ingestion and queries
  2. 12d agoQuestDBStreaming 500 million rows into Apache Arrow in 2.3 seconds
  3. 13d agoQuestDBQuestDB 10.0: QWP, one binary streaming protocol for writes and Arrow reads
  4. 14d agoQuestDBIntroducing QuestDB's new binary ingestion protocol: QWP
  5. 1mo agoQuestDBTransaction Cost Analysis with QuestDB and Polars: VWAP, Slippage and Markout
  6. 1mo agoQuestDBHDFC Bank uses QuestDB for mule account detection across all major 25+ banking channels
  7. 1mo agoApache IoTDBSet operations, CTEs, and a C driver SDK land in 2.0.10
  8. 4mo agoApache IoTDBQuery latency system tables and batched Python DataFrames
  9. 5mo agoApache IoTDBRisky RPC interfaces and JEXL removed; defaults bound to loopback
  10. 5mo agoApache IoTDBSecurity hardening backported to the 1.3 branch
  11. 6mo agoApache IoTDBTable model gains write-back and pattern-matching aggregates
  12. 7mo agoApache IoTDBFastLastQuery interface and compaction efficiency gains

Frequently asked questions

What is the difference between Apache IoTDB and QuestDB?

Both compete on the same themes — time-series — within DevOps. QuestDB is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Apache IoTDB better than QuestDB?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. QuestDB is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other DevOps products to evaluate alongside.

What are the best alternatives to Apache IoTDB?

Top Apache IoTDB alternatives in DevOps are ranked by recent ship velocity. Browse the "Apache IoTDB alternatives" section above for the current picks, or visit /alternatives/iotdb for the full list with editorial commentary on each.

What are the best alternatives to QuestDB?

Top QuestDB alternatives in DevOps are ranked by recent ship velocity. Browse the "QuestDB alternatives" section above for the current picks, or visit /alternatives/questdb for the full list with editorial commentary on each.