Aim
An experiment tracker grinding on storage performance — and quiet for over a year.
Comparison · Analytics
Zipkin vs Polars
A side-by-side editorial comparison of Zipkin and Polars — release velocity, themes, recent moves, and the top alternatives to consider.
Zipkin vs Polars: at a glance
What is Zipkin?
Zipkin's last release was January 2025 — a dependency bump, and then nothing.
The recent history is three consecutive maintenance releases whose entire content is dependency and base-image updates: 3.4.3 aligned Maven versions with the Docker images, 3.4.2 and 3.4.1 moved Spring Boot, Netty, Micrometer, Armeria, Alpine and the JRE forward to clear CVEs. The last release carrying a feature was 3.4 in May 2024, which added OpenSearch v2 as a storage backend using the existing ES_-prefixed environment variables.
What is Polars?
A deprecation sweep and hive-partition join rewrites, shipped on two trains at once.
Polars releases Python and Rust builds in lockstep, with each Rust tag naming the Python version its DSL matches. The recent work is concentrated in two places: query-plan performance — len() pushdown into concat and union inputs, pre-partitioning on hive-partitioned joins, split multiplexers scanning in-memory DataFrames — and cloud IO, where an adaptive HTTP rate-limiter and a global DNS cache landed. Correctness fixes reach into unsoundness in rayon block_on and undefined behaviour on empty chunks.
Zipkin vs Polars: editorial side-by-side
Zipkin
0.0ANALYTICS
Zipkin's last release was January 2025 — a dependency bump, and then nothing.
◆ Current state
The recent history is three consecutive maintenance releases whose entire content is dependency and base-image updates: 3.4.3 aligned Maven versions with the Docker images, 3.4.2 and 3.4.1 moved Spring Boot, Netty, Micrometer, Armeria, Alpine and the JRE forward to clear CVEs. The last release carrying a feature was 3.4 in May 2024, which added OpenSearch v2 as a storage backend using the existing ES_-prefixed environment variables.
◆ Where it's heading
This is a project in preservation rather than development. The pattern across the window — feature in May 2024, then three releases of purely defensive dependency work, then silence since January 2025 — describes a mature tracing server being kept safe to run rather than extended. The distributed-tracing work that would once have landed here now largely happens in OpenTelemetry, which Zipkin interoperates with rather than competes against.
◆ Prediction
The feed has produced nothing for nineteen months, so the honest read is that no next release is scheduled. If one comes, the shape of the last three says it will be another dependency and base-image refresh rather than new capability.
Polars
5.0ANALYTICS
A deprecation sweep and hive-partition join rewrites, shipped on two trains at once.
◆ Current state
Polars releases Python and Rust builds in lockstep, with each Rust tag naming the Python version its DSL matches. The recent work is concentrated in two places: query-plan performance — len() pushdown into concat and union inputs, pre-partitioning on hive-partitioned joins, split multiplexers scanning in-memory DataFrames — and cloud IO, where an adaptive HTTP rate-limiter and a global DNS cache landed. Correctness fixes reach into unsoundness in rayon block_on and undefined behaviour on empty chunks.
◆ Where it's heading
The 1.43.0 release carried seven deprecations at once — numeric-to-categorical casts, casts from non-nested dtypes into lists, bitwise ops between integers and booleans, LazyFrame.profile, unnamed list.to_struct calls — and 1.43.2 added more. That density of deprecation in minor releases is how a project narrows its type semantics before a major. Alongside it, Iceberg and Delta support keeps taking fixes, which is where the lakehouse-format work is showing up.
◆ Prediction
Expect the deprecation cycle to keep tightening casting and categorical semantics, with performance work staying focused on hive-partitioned and cloud-hosted data where the query planner has the most left to exploit.
Alternatives to Zipkin and Polars
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 Zipkin or Polars.
Glances
Every Glances release this year has carried CVE fixes — the monitoring tool is being audited in public.
OpenObserve
One release turns a telemetry store into synthetics, workflows, and AI observability.
Chord
Chord rebuilt Copilot, renamed it, and let it start building the audiences it used to describe
Citus
Citus is in maintenance mode across four branches, with the feature work invisible from the feed.
Pinpoint
ServerMap rebuilt and application names finally long enough to describe a service.
See all Zipkin alternatives → · See all Polars alternatives →
Recent activity from Zipkin and Polars
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoPolarsRust 0.55.2 adds an adaptive HTTP rate-limiter for cloud IO
- 2d agoPolarsRust 0.55.1 rewrites joins on hive-partitioned data
- 6d agoPolarsPython 1.43.2 deprecates Categorical-to-integer casts
- 11d agoPolarsPython 1.43.1 allows callback sinks on cloud targets
- 17d agoPolarsPython 1.43.0 lands seven deprecations in one release
- 1mo agoPolarsPython 1.42.1 samples multi-file parquet metadata resolution
- 1y agoZipkinMaven versions realigned with the Docker images
- 1y agoZipkinSpring Boot, Netty and Micrometer updated to clear CVEs
- 2y agoZipkinDependency and base-image updates for CVEs
- 2y agoZipkinZipkin 3.4
- 2y agoZipkinSpring Boot 3.3 and Alpine 3.20, with an OpenSearch test image
Frequently asked questions
What is the difference between Zipkin and Polars?
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.
Is Zipkin better than Polars?
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.
What are the best alternatives to Zipkin?
Top Zipkin alternatives in Analytics are ranked by recent ship velocity. Browse the "Zipkin alternatives" section above for the current picks, or visit /alternatives/zipkin for the full list with editorial commentary on each.
What are the best alternatives to Polars?
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.