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Comparison · Analytics
Apache TsFile vs Countly
A side-by-side editorial comparison of Apache TsFile and Countly — release velocity, themes, recent moves, and the top alternatives to consider.
Apache TsFile vs Countly: at a glance
What is Apache TsFile?
TsFile 2.5 adds Go to its Java, C++ and Python implementations.
Apache TsFile is the columnar time-series file format underneath IoTDB. The 2.x line has concentrated on the native and Python ends: Arrow-compatible results into Python DataFrames in 2.3.0, CSV, Parquet and Arrow conversion scripts in 2.3.1, SIMD and parallel reads in 2.4.0, and in October 2.5.0 with table-model read and write APIs for Go plus persistent dataset indexes. The old 1.1 line still gets occasional backport releases, most recently 1.1.4 in September.
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 TsFile vs Countly: editorial side-by-side
Apache TsFile
2.5ANALYTICS
TsFile 2.5 adds Go to its Java, C++ and Python implementations.
◆ Current state
Apache TsFile is the columnar time-series file format underneath IoTDB. The 2.x line has concentrated on the native and Python ends: Arrow-compatible results into Python DataFrames in 2.3.0, CSV, Parquet and Arrow conversion scripts in 2.3.1, SIMD and parallel reads in 2.4.0, and in October 2.5.0 with table-model read and write APIs for Go plus persistent dataset indexes. The old 1.1 line still gets occasional backport releases, most recently 1.1.4 in September.
◆ Where it's heading
TsFile is being shaped into an interchange format that non-JVM tools can read and write directly, with each release widening language coverage or speeding up the native path. The 1.1 backports show IoTDB users on older versions are still being supported.
◆ Prediction
Expect a 2.5.x patch release fixing the new Go and index features, following the pattern of 2.3.1 after 2.3.0.
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 TsFile 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 TsFile 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 TsFile alternatives → · See all Countly alternatives →
Recent activity from Apache TsFile 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 agoApache TsFileApache TsFile 2.5.0
- 1mo agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names
- 1mo agoApache TsFileTsFile 1.1.4 backports metadata and filter fixes
- 3mo agoApache TsFileSIMD and parallel read paths in Apache TsFile 2.4.0
- 5mo agoApache TsFileCSV, Parquet and Arrow conversion scripts for TsFile 2.3.1
- 6mo agoApache TsFileArrow-backed DataFrames and paginated reads in TsFile 2.3.0
- 6mo agoApache TsFileWrite-time schema changes and read/write encryption in TsFile 2.2.1
Frequently asked questions
What is the difference between Apache TsFile and Countly?
They serve adjacent needs but don't currently overlap on shipped themes. Countly is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 TsFile 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 2.5), 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 TsFile?
Top Apache TsFile alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache TsFile alternatives" section above for the current picks, or visit /alternatives/apache-tsfile 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.