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Comparison · Analytics
Apache Iceberg vs Countly
A side-by-side editorial comparison of Apache Iceberg and Countly — release velocity, themes, recent moves, and the top alternatives to consider.
Apache Iceberg vs Countly: at a glance
What is Apache Iceberg?
Iceberg 1.12 drops Spark 3.4 and starts laying groundwork for the v4 table spec.
Apache Iceberg maintains several minor lines at once, and most visible work is backports and dependency updates. 1.12.0 on September 30 is broader: it removes Spark 3.4 support, adds V4 groundwork such as relative paths in the spec and Parquet or Avro manifests, adds a REST unregister-table endpoint and content stats in the spec, and writes shredded Variant from Flink. Kafka Connect now reports commit failures instead of swallowing them.
What is Countly?
Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.
Countly 25.03.59 on November 13 is a large LTS patch. Clean installs and Docker images move to Node.js 26 and MongoDB 9.0, with older versions still working, and arm64 Docker images arrive. Security fixes tighten which apps a scoped token or member can reach across exports, dashboards, alerts and data tools, and wrong two-factor codes now count toward lockout.
Apache Iceberg vs Countly: editorial side-by-side
Apache Iceberg
0.0ANALYTICS
Iceberg 1.12 drops Spark 3.4 and starts laying groundwork for the v4 table spec.
◆ Current state
Apache Iceberg maintains several minor lines at once, and most visible work is backports and dependency updates. 1.12.0 on September 30 is broader: it removes Spark 3.4 support, adds V4 groundwork such as relative paths in the spec and Parquet or Avro manifests, adds a REST unregister-table endpoint and content stats in the spec, and writes shredded Variant from Flink. Kafka Connect now reports commit failures instead of swallowing them.
◆ Where it's heading
The project is moving from maintenance-only releases back to spec work, with V4 pieces landing in stages. Older engine versions are being dropped as that happens.
◆ Prediction
Expect more V4 spec and core pieces in 1.13 and patch releases on 1.11 and 1.12; a V4 release date is not visible in the entries.
Countly
5.0ANALYTICS
Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.
◆ Current state
Countly 25.03.59 on November 13 is a large LTS patch. Clean installs and Docker images move to Node.js 26 and MongoDB 9.0, with older versions still working, and arm64 Docker images arrive. Security fixes tighten which apps a scoped token or member can reach across exports, dashboards, alerts and data tools, and wrong two-factor codes now count toward lockout.
◆ Where it's heading
Countly is still mostly hardening access control, carrying the token-scoping work from 25.03.58 into every plugin that reads or changes app data. At the same time it keeps the self-hosted stack on current runtimes.
◆ Prediction
Expect a 24.05 patch that backports these scoping fixes, as 24.05.55 did after 25.03.58.
Alternatives to Apache Iceberg and Countly
Other Analytics 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 Iceberg or Countly.
Dovetail
Dovetail lets admins choose which connectors members can plug into the workspace.
Dagster
Dagster drops Python 3.10 and lets agents run schedules and sensors through MCP.
OpenHouse
OpenHouse adds time-zone-aware retention and per-database table caps.
Kubecost
Kubecost cuts three 3.3.2 release candidates in two days, still without notes.
RStudio
RStudio opens the 2026.11 train with another NOTICE file update.
See all Apache Iceberg alternatives → · See all Countly alternatives →
Recent activity from Apache Iceberg and Countly
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 17h agoCountlyCountly 25.03.59: Node 26, MongoDB 9, app scoping fixes
- 15d agoCountlyCountly 24.05.55: token rules backported, Node 22 move
- 17d agoCountlyCountly 25.03.58: token scoping, revocation and access fixes
- 19d agoCountlyCountly 25.03.57-LTS distrusts emSign roots, fixes A/B setup
- 21d agoCountlyCountly 25.03.56-LTS: Node CVE patch, licence overdue banner
- 1mo agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names
- 1mo agoApache IcebergIceberg 1.12.0: Spark 3.4 dropped, first V4 spec pieces
- 5mo agoApache Iceberg1.11.0 opens a new line on Spark 4.0.1
- 5mo agoApache IcebergBackport release fixes delete ordering and a compression CVE
- 10mo agoApache IcebergNullability and REST catalog validation fixes
- 1y agoApache IcebergFlink 2.0 support and Variant type reaches Parquet
- 1y agoApache IcebergStop retrying object-store 502 and 504 responses
Frequently asked questions
What is the difference between Apache Iceberg and Countly?
They serve adjacent needs but don't currently overlap on shipped themes. Countly is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 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 Iceberg better than Countly?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Countly is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to Apache Iceberg?
Top Apache Iceberg alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Iceberg alternatives" section above for the current picks, or visit /alternatives/apache-iceberg for the full list with editorial commentary on each.
What are the best alternatives to Countly?
Top Countly alternatives in Analytics are ranked by recent ship velocity. Browse the "Countly alternatives" section above for the current picks, or visit /alternatives/countly-server for the full list with editorial commentary on each.