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Comparison · DevOps

Agno vs QuestDB

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

Agno vs QuestDB: at a glance

FeatureAgnoQuestDB
SectorDevOpsDevOps
Velocity score10.06.3
Sparks · 30d11
Top themesagentos, observability, durable-state, provider-integrationstime-series-db, wire-protocol, arrow, ingestion-throughput
Last editorial update1h ago5d ago
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What is Agno?

Agno keeps building the operations layer around its agents, not just the agents.

Agno is an agent framework that spent this window shipping the surfaces a deployment needs rather than new agent abstractions: aggregate latency and error stats in traces, a status endpoint for background metrics refreshes, a durable FileSystem that survives process restarts, and AgentOSTools, which lets an agent read its own platform's traces. Provider work continues in parallel — Smallest AI text-to-speech, OpenSearch as a vector store, Moonshot thinking toggles and multimodal input. The newest release moves in a different direction, adding followup suggestions an agent hands back to its user at the end of a response.

Read the full Agno trajectory →

What is QuestDB?

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. The days since have been spent substantiating it: a parallel-reader benchmark puts 500M rows into Arrow in 2.3 seconds against ClickHouse and TimescaleDB. Around the releases, the feed is mostly engineering deep-dives, capital-markets case studies, and comparison guides.

Read the full QuestDB trajectory →

Agno vs QuestDB: editorial side-by-side

A
Agno
DEVOPS
10.0

Agno keeps building the operations layer around its agents, not just the agents.

◆ Current state

Agno is an agent framework that spent this window shipping the surfaces a deployment needs rather than new agent abstractions: aggregate latency and error stats in traces, a status endpoint for background metrics refreshes, a durable FileSystem that survives process restarts, and AgentOSTools, which lets an agent read its own platform's traces. Provider work continues in parallel — Smallest AI text-to-speech, OpenSearch as a vector store, Moonshot thinking toggles and multimodal input. The newest release moves in a different direction, adding followup suggestions an agent hands back to its user at the end of a response.

◆ Where it's heading

The centre of gravity is AgentOS. Most of what shipped assumes an Agno deployment that is already running, already traced, and now needs to be inspected, kept durable, and reported on. Integrations are additive and follow a consistent pattern — a toolkit or vectordb slotted in without changing what agents can do. Followup suggestions is the first entry here aimed at the person using an agent rather than the person operating one, and it is built the same way the rest is: an optional flag, a second model call, a field on the response.

◆ Prediction

Expect the AgentOS surface to keep widening — the ops toolkit reads from the database today, so a live handle or write-capable operations are the obvious next step. Whether followup suggestions signals a broader end-user layer or is a one-off convenience is not clear from these entries.

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 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. The days since have been spent substantiating it: a parallel-reader benchmark puts 500M rows into Arrow in 2.3 seconds against ClickHouse and TimescaleDB. Around the releases, the feed is mostly engineering deep-dives, capital-markets case studies, and comparison guides.

◆ 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 — 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. The follow-up post shifts the argument to the read side, which is the half QWP actually changes: folding Arrow egress into the same protocol points the database at the Python analytics stack directly rather than through a SQL driver, something the Polars and ConnectorX content has been rehearsing for months. Live views and agent notebooks are earlier-stage, and the Enterprise line continues on its own track.

◆ Prediction

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 leave beta on a later minor rather than in the next release.

Alternatives to Agno 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 Agno or QuestDB.

See all Agno alternatives → · See all QuestDB alternatives →

Recent activity from Agno and QuestDB

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

  1. 1d agoAgnoFollowup suggestions in Agno: give users their next question
  2. 6d agoQuestDBStreaming 500 million rows into Apache Arrow in 2.3 seconds
  3. 7d agoQuestDBQuestDB 10.0: QWP, one binary streaming protocol for writes and Arrow reads
  4. 8d agoQuestDBIntroducing QuestDB's new binary ingestion protocol: QWP
  5. 14d agoAgnoRun knowledge search on OpenSearch, with hybrid built in
  6. 14d agoAgnoGive your agents a voice with Smallest AI
  7. 14d agoAgnoPoll the status of background metrics refreshes
  8. 17d agoAgnoAsk your AgentOS how it's doing, in plain English
  9. 17d agoAgnoBreak down agent latency and errors in your traces
  10. 24d agoQuestDBTransaction Cost Analysis with QuestDB and Polars: VWAP, Slippage and Markout
  11. 27d agoQuestDBHDFC Bank uses QuestDB for mule account detection across all major 25+ banking channels
  12. 29d agoQuestDBThe Most Expensive Instruction Might Be… cmov

Frequently asked questions

What is the difference between Agno and QuestDB?

They serve adjacent needs but don't currently overlap on shipped themes. Agno is currently shipping more aggressively (velocity 10.0 vs 6.3), with 1 editorial sparks in the last 30 days against 1. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Agno better than QuestDB?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Agno is currently shipping more aggressively (velocity 10.0 vs 6.3), with 1 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other DevOps products to evaluate alongside.

What are the best alternatives to Agno?

Top Agno alternatives in DevOps are ranked by recent ship velocity. Browse the "Agno alternatives" section above for the current picks, or visit /alternatives/agno 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.