Apache SeaTunnel
SeaTunnel can finally split one large file across readers — and hasn't shipped since March.
A side-by-side editorial comparison of ntopng and Polars — release velocity, themes, recent moves, and the top alternatives to consider.
ntopng grew from traffic monitor into asset inventory and vulnerability scanner — one major at a time
ntopng ships roughly one stable major a year. The 6.x line added vulnerability scanning and CVE support, then an Asset Inventory and Digital Twin with an assets dashboard, then autonomous-system dashboards with native ClickHouse Cloud SSL and a direct flow dump mode for real-time export. The last published release was 6.6 in November 2025, so this feed is currently quiet.
Polars is teaching its engine to spill, stream, and read the lakehouse.
Polars ships on two trains: the Python package, now at 1.43.2, and the Rust crate at 0.55.1 whose DSL is pinned to a matching Python version. Recent work concentrates in three places — the streaming engine, stabilized in the Rust 0.54.4 release and given out-of-core spilling in Python 1.42.0; the query optimizer, with predicate canonicalization, contradictory-filter elimination and nested common subplan elimination; and lakehouse table formats, where Iceberg, Delta and hive-partitioned layouts get dedicated join rewrites and scan parallelism. A steady deprecation wave runs alongside, mostly narrowing which casts the Categorical and Enum types permit.
ntopng ships roughly one stable major a year. The 6.x line added vulnerability scanning and CVE support, then an Asset Inventory and Digital Twin with an assets dashboard, then autonomous-system dashboards with native ClickHouse Cloud SSL and a direct flow dump mode for real-time export. The last published release was 6.6 in November 2025, so this feed is currently quiet.
Each major has annexed an adjacent category rather than deepening flow analysis: security posture in 6.0, asset management in 6.4, and infrastructure-scale visibility in 6.6. Underneath, ClickHouse has steadily replaced the older storage paths, moving from an option in 5.2 to the assumed backend with a real-time export mode. The result is a product competing well outside its original network-monitoring lane.
With the last release nine months old, the next major is overdue; based on the pattern it would extend the asset and security surfaces rather than the flow engine.
Polars ships on two trains: the Python package, now at 1.43.2, and the Rust crate at 0.55.1 whose DSL is pinned to a matching Python version. Recent work concentrates in three places — the streaming engine, stabilized in the Rust 0.54.4 release and given out-of-core spilling in Python 1.42.0; the query optimizer, with predicate canonicalization, contradictory-filter elimination and nested common subplan elimination; and lakehouse table formats, where Iceberg, Delta and hive-partitioned layouts get dedicated join rewrites and scan parallelism. A steady deprecation wave runs alongside, mostly narrowing which casts the Categorical and Enum types permit.
The engine work is pushing Polars past the fits-in-memory, single-machine dataframe it became known for. Spilling and a stabilized streaming engine chip at the memory ceiling; the cloud IO changes — global DNS cache, bytes-based concurrency control, non-blocking path expansion — target remote object storage rather than local files; and the hive, Iceberg and Delta join rewrites only pay off when reading a partitioned lake. The deprecations run the opposite direction, tightening a type system that had been permissive about casts.
The accumulating deprecations around categorical casts, list casts and integer-boolean bitwise ops, several already emitting FutureWarnings, point toward a breaking major release that removes them. On the engine side, the explicitly naive out-of-core spilling is the obvious next thing to be reworked.
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 ntopng or Polars.
SeaTunnel can finally split one large file across readers — and hasn't shipped since March.
Parseable is bolting real auth onto a log store — API keys, dataset permissions, Kafka IAM.
SkyWalking is rebuilding its own foundations — its own database, its own runtime, and now GenAI traces
MotherDuck is building the governance layer its agent-native pipelines already needed.
Four commits in thirteen months: this feed samples OpenSearch Dashboards, it doesn't cover it.
Feedly's reader roots recede as threat-intel agents take over the changelog
See all ntopng alternatives → · See all Polars alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Polars 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. Polars 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 ntopng alternatives in Analytics are ranked by recent ship velocity. Browse the "ntopng alternatives" section above for the current picks, or visit /alternatives/ntopng for the full list with editorial commentary on each.
Top Polars alternatives in Analytics are ranked by recent ship velocity. Browse the "Polars alternatives" section above for the current picks, or visit /alternatives/polars for the full list with editorial commentary on each.