OpenObserve
The 0.92 candidates have stopped taking features — rc4 is backports only.
A side-by-side editorial comparison of Holistics and Apache SeaTunnel — release velocity, themes, recent moves, and the top alternatives to consider.
Holistics keeps converting GUI-only BI objects into code, one class at a time.
The recent window moved custom charts into AML so they can be defined as code, built through a GUI and previewed against real data, and gave every file — dashboards, models, datasets — its own version timeline with per-file restore that does not revert anyone else's work. Smaller quality-of-life work landed alongside: theme-level color palettes, date-range presets and typed shorthands, chart suggestions in Explore, and custom currency and unit formats.
SeaTunnel can finally split one large file across readers — and hasn't shipped since March.
The 2.3.13 release in March is by far the densest in this window: parallel splitting of large files for HDFS, local CSV/text/JSON and logical Parquet splits, CDC source schema evolution on the Flink engine, a checkpoint API with configurable minimum pause, and new connectors for DuckDB, Lance, AWS DSQL and HugeGraph. The releases before it were thinner — 2.3.12 and 2.3.11 are dominated by documentation, much of it Chinese translations of existing connector pages, and 2.3.9 and 2.3.8 are bug fix rollups.
The recent window moved custom charts into AML so they can be defined as code, built through a GUI and previewed against real data, and gave every file — dashboards, models, datasets — its own version timeline with per-file restore that does not revert anyone else's work. Smaller quality-of-life work landed alongside: theme-level color palettes, date-range presets and typed shorthands, chart suggestions in Explore, and custom currency and unit formats.
Holistics is steadily giving GUI concepts an AML representation while keeping a visual path to the same result, and file history extends a software-engineering model to objects that were previously edited in place. The last several releases are polish on top of that spine rather than new capability, which suggests the code-first migration sets the agenda and the surface work fills in behind it.
Expect more object types to gain AML definitions and version timelines; the cadence so far has been roughly one object class per release cycle.
The 2.3.13 release in March is by far the densest in this window: parallel splitting of large files for HDFS, local CSV/text/JSON and logical Parquet splits, CDC source schema evolution on the Flink engine, a checkpoint API with configurable minimum pause, and new connectors for DuckDB, Lance, AWS DSQL and HugeGraph. The releases before it were thinner — 2.3.12 and 2.3.11 are dominated by documentation, much of it Chinese translations of existing connector pages, and 2.3.9 and 2.3.8 are bug fix rollups.
Two things are happening at once. The engine is getting faster on the shapes that actually stall a pipeline — a single enormous file, a schema that changed under a running CDC job — and the connector catalogue keeps widening toward analytical and vector-adjacent stores rather than more transactional databases. But the cadence has stretched: releases used to land every two to three months, and nothing has shipped in nearly five.
Expect the split-and-parallel-read work started for files to extend to more source connectors, since it is the change with the broadest effect on throughput. The release gap is the open question — these entries show a lengthening interval without indicating whether a 2.4 line is being prepared behind it.
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 Holistics or Apache SeaTunnel.
The 0.92 candidates have stopped taking features — rc4 is backports only.
A deprecation sweep and hive-partition join rewrites, shipped on two trains at once.
ServerMap rebuilt and application names finally long enough to describe a service.
Parseable is bolting real auth onto a log store — API keys, dataset permissions, Kafka IAM.
ntopng grew from traffic monitor into asset inventory and vulnerability scanner — one major at a time
SkyWalking is rebuilding its own foundations — its own database, its own runtime, and now GenAI traces
See all Holistics alternatives → · See all Apache SeaTunnel alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Holistics 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Holistics 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.
Top Holistics alternatives in Analytics are ranked by recent ship velocity. Browse the "Holistics alternatives" section above for the current picks, or visit /alternatives/holistics for the full list with editorial commentary on each.
Top Apache SeaTunnel alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache SeaTunnel alternatives" section above for the current picks, or visit /alternatives/seatunnel for the full list with editorial commentary on each.