GravityKit
GravityKit folds every GravityView extension into one Pro plugin.
A side-by-side editorial comparison of Apache Airflow and Split.io — release velocity, themes, recent moves, and the top alternatives to consider.
Airflow's Go, Java and TypeScript SDKs all reach 1.0 on the same day.
On November 13 Apache Airflow released stable 1.0.0 SDKs for Java, TypeScript and Go within an hour. The Java SDK authors Dags natively, with dependencies, task groups, branching, Dag triggers and the Variable and task state APIs, serialized to the same format as Python Dags. The Go and TypeScript 1.0 releases are mostly last fixes after their betas. The Amazon provider 9.40.0 also went final.
Split FME's March releases pull feature flags fully into the Harness DevOps platform.
Split.io now ships under the Harness Feature Management & Experimentation (FME) brand, and the substantive activity is captured in the rolled-up release-notes page rather than per-release entries. The March 2026 wave landed three real ships: Policy As Code (OPA) for FME Feature Flags, Feature Flag Archiving with RBAC and pre-archive checks, and the GA of FME steps in Harness pipelines covering full flag lifecycle management. The rest of the recent feed is scraper artifacts — page chrome captured as titles.
On November 13 Apache Airflow released stable 1.0.0 SDKs for Java, TypeScript and Go within an hour. The Java SDK authors Dags natively, with dependencies, task groups, branching, Dag triggers and the Variable and task state APIs, serialized to the same format as Python Dags. The Go and TypeScript 1.0 releases are mostly last fixes after their betas. The Amazon provider 9.40.0 also went final.
Airflow 3.4 made non-Python Dags possible as an experiment; a week later the language SDKs are declared stable. The project is turning its scheduler into a runtime that teams in Java, Go and TypeScript shops can adopt without writing Python. Provider releases keep their usual batched cadence underneath.
Expect the experimental Dag Importer and Task Loops from 3.4 to move toward stable in a 3.5 release, and SDK patch releases as first production users report issues.
Split.io now ships under the Harness Feature Management & Experimentation (FME) brand, and the substantive activity is captured in the rolled-up release-notes page rather than per-release entries. The March 2026 wave landed three real ships: Policy As Code (OPA) for FME Feature Flags, Feature Flag Archiving with RBAC and pre-archive checks, and the GA of FME steps in Harness pipelines covering full flag lifecycle management. The rest of the recent feed is scraper artifacts — page chrome captured as titles.
FME is becoming a first-class part of the Harness DevOps surface rather than a standalone feature-flag tool. Pipeline-native flag operations, policy-as-code governance, and archiving as a managed lifecycle state all reflect a single direction: feature flags as a governed, audited, and pipeline-integrated component of the deployment system. The standalone Split UX is fading into Harness conventions.
Expect more Harness-platform conventions to land on FME — RBAC unification, environments and pipelines parity, OPA policy templates shipped out of the box, and observability tying flag changes back into deploy-failure/MTTR dashboards. Standalone-Split UX surfaces will likely be retired further.
Other Infra & APIs 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 Airflow or Split.io.
GravityKit folds every GravityView extension into one Pro plugin.
Payload's v4 beta.9 keeps every past image crop and raises the Node floor again.
Nautobot 3.3 alpha 2 adds test helpers and a cable location filter after 3.2.9's token-leak fix.
Clair 4.10 RC can read SBOMs to match Java vulnerabilities.
Shuffle tags builds almost daily, but the notes are empty.
KrakenD's community edition is shipping only dependency bumps.
See all Apache Airflow alternatives → · See all Split.io alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Apache Airflow is currently shipping more aggressively (velocity 7.5 vs 0.6), with 1 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 Airflow is currently shipping more aggressively (velocity 7.5 vs 0.6), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top Apache Airflow alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Apache Airflow alternatives" section above for the current picks, or visit /alternatives/apache-airflow for the full list with editorial commentary on each.
Top Split.io alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Split.io alternatives" section above for the current picks, or visit /alternatives/split for the full list with editorial commentary on each.