Glances
After a year of CVE fixes, Glances 4.5.7 turns to making its alerts tell the truth.
A side-by-side editorial comparison of Apache TsFile and Apify — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Apache TsFile | Apify |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 2.5 | 5.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | time series, columnar format, apache arrow, multi-language | ai-agents, mcp, actor-marketplace, breaking-changes |
| Last editorial update | 56m ago | 5h ago |
| Website | Visit → | — |
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.
Apify reshapes its Store API for agents, and it will break some integrations on Nov 15.
Apify's October work treats AI agents as the main Store client. On November 15, GET /v2/store moves to a relevance-ranked search backend: search returns a single page of at most 100 results, offset and sortBy are ignored, total and count change meaning, and noisy fields are dropped to save agent context. Earlier in October, the MCP server gained tools to build Actors, read build and run logs and read source files, and the Store was regrouped into use-case categories.
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.
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.
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.
Apify's October work treats AI agents as the main Store client. On November 15, GET /v2/store moves to a relevance-ranked search backend: search returns a single page of at most 100 results, offset and sortBy are ignored, total and count change meaning, and noisy fields are dropped to save agent context. Earlier in October, the MCP server gained tools to build Actors, read build and run logs and read source files, and the Store was regrouped into use-case categories.
The arc from June to now is consistent: MCP connectors, x402 payments for agents without accounts, Apify AI for plain-English runs, and now a Store API and MCP toolset tuned for agents over human paging. Apify is accepting breakage for existing integrations in exchange for better agent results.
Expect migration guidance and possibly a grace period around the November 15 cutover, followed by more MCP tools moving into the default set.
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 Apify.
After a year of CVE fixes, Glances 4.5.7 turns to making its alerts tell the truth.
Kylin keeps tagging releases, 5.0.5 included, without saying what changed.
Pinpoint 4.0 takes OpenTelemetry traces without its agent; 3.1.1 tames reactive overhead.
Tautulli 2.18.2 fixes history grouping and closes another newsletter path traversal.
SeaTunnel 3.0 ends a six-month gap with 927 PRs and 30 new connectors.
AgencyAnalytics keeps widening its integrations while tables learn row-level math
See all Apache TsFile alternatives → · See all Apify alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Apify 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apify 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.
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.
Top Apify alternatives in Analytics are ranked by recent ship velocity. Browse the "Apify alternatives" section above for the current picks, or visit /alternatives/apify for the full list with editorial commentary on each.