Citus
Citus keeps three Postgres branches alive while chasing each new major
A side-by-side editorial comparison of Apache Iceberg and Mage — release velocity, themes, recent moves, and the top alternatives to consider.
Iceberg's release cadence is now backports and CVE patches across three live minor lines.
The project is maintaining 1.9.x, 1.10.x and 1.11.x concurrently, and the visible work is overwhelmingly maintenance: dependency bumps, backported fixes, and a steady stream of correctness repairs around nullability, deletes and the REST catalog. 1.10.2 in particular is almost entirely backports plus a CVE fix in a compression dependency.
Feature releases every two months in 2024; one bugfix release in the last twelve.
The release cadence has collapsed. Through 2024 Mage shipped roughly every two months with substantial features each time — memory management rework, dynamic blocks, new sources and destinations, Python 3.11 and 3.12 support. 2025 produced two releases. The most recent entry, 0.9.79 in January 2026, contains no feature section at all: it is dependency pinning, SQLAlchemy 2.0 compatibility, character escaping during code interpolation, and log file handle cleanup. Nothing has followed it in the six months since.
The project is maintaining 1.9.x, 1.10.x and 1.11.x concurrently, and the visible work is overwhelmingly maintenance: dependency bumps, backported fixes, and a steady stream of correctness repairs around nullability, deletes and the REST catalog. 1.10.2 in particular is almost entirely backports plus a CVE fix in a compression dependency.
The feature story lives in the minor releases and the spec, not the patches — Flink 2.0 support, Variant type work reaching Parquet readers, and repeated REST catalog validation fixes point at a format spending its effort on engine breadth and on the REST catalog as the standard access path. The patch stream shows a format mature enough that its hardest problems are now schema-evolution edge cases and cleanup-on-failure semantics.
Expect continued parallel maintenance of the 1.10.x and 1.11.x lines with backports dominating, and the next substantive work to land in Variant type coverage and REST catalog behaviour rather than in the core table spec.
The release cadence has collapsed. Through 2024 Mage shipped roughly every two months with substantial features each time — memory management rework, dynamic blocks, new sources and destinations, Python 3.11 and 3.12 support. 2025 produced two releases. The most recent entry, 0.9.79 in January 2026, contains no feature section at all: it is dependency pinning, SQLAlchemy 2.0 compatibility, character escaping during code interpolation, and log file handle cleanup. Nothing has followed it in the six months since.
The arc runs from expanding the product to keeping it compiling. The 2024 releases added capability — a canvas rework, multi-project support, streaming sinks, Kubernetes job parameters. The 2025 releases shifted toward integrations and CVE response, including a batch of path traversal fixes carrying assigned identifiers. The last release is entirely defensive, including vendoring croniter into the repository and locking scikit-learn to stop upstream changes from breaking builds. That is the profile of a codebase being kept viable rather than developed.
The entries give no basis for predicting the next release — a six-month gap after a dependency-only patch is the only signal available, and nothing here indicates whether the line is paused or finished.
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 Iceberg or Mage.
Citus keeps three Postgres branches alive while chasing each new major
Three releases in a year, all of them about the Vega dependency — the feed shows nothing else.
Kylin ships once a year with empty release notes and a native engine nobody is being told about.
MCP servers became first-class governed assets in 1.13.0 — and 2.0 is now in release candidate.
Every release in this window is columnstore work — compression is where TimescaleDB is spending
The streaming engine is stable and the API is being narrowed — Polars is clearing ground for a breaking release
See all Apache Iceberg alternatives → · See all Mage alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Apache Iceberg and Mage are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). 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 Iceberg and Mage are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top Apache Iceberg alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Iceberg alternatives" section above for the current picks, or visit /alternatives/apache-iceberg for the full list with editorial commentary on each.
Top Mage alternatives in Analytics are ranked by recent ship velocity. Browse the "Mage alternatives" section above for the current picks, or visit /alternatives/mage-ai for the full list with editorial commentary on each.