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 Cloudberry and Apache TsFile — release velocity, themes, recent moves, and the top alternatives to consider.
Apache Cloudberry is three release candidates into 2.2.0.
Apache Cloudberry is an open-source MPP analytics database in the Apache Incubator, derived from Greenplum. The 2.2.0 release has gone through rc1 (September 3), rc2 (October 7) and rc3 (October 20), with no release notes attached to the later candidates. 2.1.0 shipped in May after two candidates.
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.
Apache Cloudberry is an open-source MPP analytics database in the Apache Incubator, derived from Greenplum. The 2.2.0 release has gone through rc1 (September 3), rc2 (October 7) and rc3 (October 20), with no release notes attached to the later candidates. 2.1.0 shipped in May after two candidates.
Each release goes through two or three candidates and ASF votes; 2.0.0 also needed three. The gap between feature releases has been roughly six to eight months.
2.2.0 final is likely after the rc3 vote, if no further candidate is needed. The entries do not list 2.2.0's feature content.
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.
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 Cloudberry or Apache TsFile.
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See all Apache Cloudberry alternatives → · See all Apache TsFile alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Apache Cloudberry 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. Apache Cloudberry 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 Cloudberry alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Cloudberry alternatives" section above for the current picks, or visit /alternatives/apache-cloudberry for the full list with editorial commentary on each.
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.