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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 is quietly rebuilding itself as an Arrow-speaking interchange format
Apache TsFile is the columnar time-series file format underlying IoTDB, maintained as three parallel implementations in Java, C++ and Python. Recent releases have concentrated on the C++ and Python ends: SIMD paths and parallel reads in 2.4.0, an Arrow-compatible result path from C++ through to Python DataFrames in 2.3.0, and conversion scripts from CSV, Parquet and Arrow into TsFile in 2.3.1. The Java side gets steadier, smaller work — serialized-size calculation, schema modification during writes, encryption configuration.
What is Countly?
Countly 25.03.58 tightens API tokens, sessions and login lockouts in one security patch.
Countly 25.03.58 is a security-heavy patch for the 25.03 line. App-restricted tokens must now declare their permissions, password changes and member lockouts revoke tokens, single-use tokens and reset links work once even under concurrency, and login failures count per account regardless of username casing. It also tightens access to dashboards, dbviewer and exports, and fixes file migration, remote-config targeting and star-rating widgets.
Apache TsFile vs Countly: editorial side-by-side
Apache TsFile
2.5ANALYTICS
TsFile is quietly rebuilding itself as an Arrow-speaking interchange format
◆ Current state
Apache TsFile is the columnar time-series file format underlying IoTDB, maintained as three parallel implementations in Java, C++ and Python. Recent releases have concentrated on the C++ and Python ends: SIMD paths and parallel reads in 2.4.0, an Arrow-compatible result path from C++ through to Python DataFrames in 2.3.0, and conversion scripts from CSV, Parquet and Arrow into TsFile in 2.3.1. The Java side gets steadier, smaller work — serialized-size calculation, schema modification during writes, encryption configuration.
◆ Where it's heading
The centre of gravity has moved from format features to ecosystem reach. Arrow-backed DataFrames and format converters are not about storing time series better; they are about making TsFile readable by the Python analytics stack without a translation layer, which is the gap that keeps a specialized format confined to its own database. The C++ performance work in 2.4.0 serves the same end, since the Python bindings sit on top of it. Version numbering runs on two lines at once, with 1.1.x backports still shipping alongside the 2.x series.
◆ Prediction
Given the direction of the Arrow work, the Python interface is the most likely target for further capability rather than the Java one. The notes do not indicate when the 1.1 maintenance line ends.
Countly
5.0ANALYTICS
Countly 25.03.58 tightens API tokens, sessions and login lockouts in one security patch.
◆ Current state
Countly 25.03.58 is a security-heavy patch for the 25.03 line. App-restricted tokens must now declare their permissions, password changes and member lockouts revoke tokens, single-use tokens and reset links work once even under concurrency, and login failures count per account regardless of username casing. It also tightens access to dashboards, dbviewer and exports, and fixes file migration, remote-config targeting and star-rating widgets.
◆ Where it's heading
The 25.03 LTS line keeps absorbing security work at a fast clip: an upstream Node CVE, certificate distrust, and now a sweep of Countly's own token and permission model. Feature work stays in enterprise licensing and journeys, while LTS releases mostly harden what exists.
◆ Prediction
Expect a matching 24.05 backport of the token and permission fixes. Token owners may also need migration guidance, since existing app-restricted tokens without permissions are now limited to their owner's rights.
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.
OpenReplay
OpenReplay moves its Go backend to pgx v5 and patches vulnerable deps across 1.25–1.27.
Basedash
Basedash automations can now attach scheduled CSV exports to Slack and email.
OpenPanel
OpenPanel tags three more note-free builds in one evening, reaching 3.16.4.
Fulcrum
Fulcrum turns on Insights, its AI assistant for field data, for every customer.
Holistics
Holistics lets admins put a key dashboard on everyone's Home page.
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.
- 2d agoCountlyCountly 25.03.58: token scoping, revocation and access fixes
- 3d agoCountlyCountly 25.03.57-LTS distrusts emSign roots, fixes A/B setup
- 6d agoCountlyCountly 25.03.56-LTS: Node CVE patch, licence overdue banner
- 17d agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names
- 29d agoCountly24.05.54: data-manager merge and logging fixes
- 1mo agoCountly25.03.54: License v2 entitlements and journey charts
- 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
- 10mo agoApache TsFilePython text types and C++ tag filtering in TsFile 2.2.0
- 10mo agoApache TsFileBackport maintenance on the TsFile 1.1 line
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.