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immudb made itself speak Postgres — while its announced v2 rearchitecture sits unfinished.
A side-by-side editorial comparison of QuestDB and Vitess — release velocity, themes, recent moves, and the top alternatives to consider.
QuestDB 10.0 collapses ingest and egress into one binary protocol, then aims at agent-run notebooks.
QuestDB just shipped 10.0, its first major version bump in the visible window, built around QWP — a binary columnar wire protocol that handles writes going in and streams Arrow back out through a single client. The release also carries live views in beta, notebooks driven by coding agents, and the storage groundwork that QuestDB Enterprise 4.0 builds cold storage on. Around the releases, the feed is mostly engineering deep-dives (HotSpot JIT internals, benchmark methodology), customer case studies in capital markets and fraud detection, and comparison guides.
Two patch lines, every release published twice, and no feature news since v24.0.0.
The recent window is maintenance on two supported branches: v24.0.2 (34 merged pull requests) and v23.0.5 (35) in late June, preceded by v24.0.1 and v23.0.4 in May. None of these releases describe their contents — each body is a pull-request count and a contributor list, with the actual changelog behind a link. Every release also appears a second time as a `v0.x.y` Go-module tag carrying only a sign-off line.
QuestDB just shipped 10.0, its first major version bump in the visible window, built around QWP — a binary columnar wire protocol that handles writes going in and streams Arrow back out through a single client. The release also carries live views in beta, notebooks driven by coding agents, and the storage groundwork that QuestDB Enterprise 4.0 builds cold storage on. Around the releases, the feed is mostly engineering deep-dives (HotSpot JIT internals, benchmark methodology), customer case studies in capital markets and fraud detection, and comparison guides.
The protocol work is the thread that matters. QuestDB has been positioning against InfluxDB Line Protocol on ingestion throughput for a while — the QWP post claims 33M rows/s on one machine at a million series, roughly 3.6x ILP over a network — and 10.0 turns that from a benchmark argument into the default path in and out. Folding Arrow egress into the same protocol points the database at the Python analytics stack directly rather than through a SQL driver, which the Polars and ConnectorX content has been rehearsing for months. The agent-driven notebooks and live views are earlier-stage, and the Enterprise line (storage policies, Parquet tiering, column-level GRANT) continues on its own track.
Expect QuestDB Enterprise 4.0 next, built on 10.0's storage work and leading with cold storage, plus client libraries catching up to QWP one language at a time. Live views and the agent notebooks look likeliest to move from beta on a later minor rather than in the next release.
The recent window is maintenance on two supported branches: v24.0.2 (34 merged pull requests) and v23.0.5 (35) in late June, preceded by v24.0.1 and v23.0.4 in May. None of these releases describe their contents — each body is a pull-request count and a contributor list, with the actual changelog behind a link. Every release also appears a second time as a `v0.x.y` Go-module tag carrying only a sign-off line.
Feature work is concentrated in the majors, not the patches. v24.0.0 at the end of April was the substantive release: window function pushdown for sharded keyspaces, view routing rules, tablet targeting through USE statements, VTGate binlog streaming and structured logging, with external decompressors no longer read from the backup manifest by default. Since then the branches have been in pure upkeep.
On the pattern here — a major in April followed by monthly patches on both supported branches — the next thing to expect is continued v23.0.z and v24.0.z patches rather than new capability. The bodies give no indication of what a v25 would contain.
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 QuestDB or Vitess.
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See all QuestDB alternatives → · See all Vitess alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. 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.
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.
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.
Top Vitess alternatives in DevOps are ranked by recent ship velocity. Browse the "Vitess alternatives" section above for the current picks, or visit /alternatives/vitess for the full list with editorial commentary on each.