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Apache Pinot vs Cortex

A side-by-side editorial comparison of Apache Pinot and Cortex — release velocity, themes, recent moves, and the top alternatives to consider.

Apache Pinot vs Cortex: at a glance

FeatureApache PinotCortex
SectorInfra & APIs, AnalyticsAnalytics
Velocity score6.32.5
Sparks · 30d10
Top themesreal-time-olap, sql-ddl, vector-search, materialized-viewsmetrics, prometheus, parquet, multi-tenancy
Last editorial update4h ago1h ago
WebsiteVisit →Visit →

What is Apache Pinot?

Pinot 1.6 adds SQL DDL and vector backends, and now needs Java 25 to run its services.

1.6.0 on 29 October lets operators manage tables through CREATE, DROP and SHOW statements, gives materialized views DDL and single-stage query rewrite, and adds GROUPING SETS, ROLLUP and CUBE to both query engines. Vector search gains IVF_FLAT, IVF_PQ and IVF_ON_DISK backends alongside HNSW. The release also removes legacy pieces: native text and FST indexes, Spark 2 and Presto integrations, and APIs deprecated through 1.3.0.

Read the full Apache Pinot trajectory →

What is Cortex?

Cortex 1.22 is on its fourth candidate, with sharded Parquet and years of deprecated flags removed.

Cortex 1.22.0 has been in release candidates since 12 September, reaching rc.3 on 6 October, and GitHub shows no final yet. The candidate adds sharded Parquet conversion and querying, resource-based query eviction that cancels the heaviest query when CPU or heap crosses a threshold, OCI Object Storage as a backend, and an active-series tracker per tenant. It also removes long-deprecated flags and config fields, some of which now stop Cortex from starting if left in place.

Read the full Cortex trajectory →

Apache Pinot vs Cortex: editorial side-by-side

Apache Pinot logo
Apache Pinot
INFRA · APISANALYTICS
6.3

Pinot 1.6 adds SQL DDL and vector backends, and now needs Java 25 to run its services.

◆ Current state

1.6.0 on 29 October lets operators manage tables through CREATE, DROP and SHOW statements, gives materialized views DDL and single-stage query rewrite, and adds GROUPING SETS, ROLLUP and CUBE to both query engines. Vector search gains IVF_FLAT, IVF_PQ and IVF_ON_DISK backends alongside HNSW. The release also removes legacy pieces: native text and FST indexes, Spark 2 and Presto integrations, and APIs deprecated through 1.3.0.

◆ Where it's heading

Pinot is moving toward being operated like a SQL database. The multi-stage engine's SQL coverage has grown release by release, and table lifecycle now joins it, while vector backends pull retrieval workloads into the same store. The upgrade cost is real: Java 25 for services, Scala 2.13 for Spark artifacts, and mixed-version limits around SMART aggregation. Federation, the headline of 1.5, doesn't feature in the 1.6 highlights.

◆ Prediction

Expect materialized-view rewrite to reach the multi-stage engine, since it is single-stage only today. A security patch on 1.6 would match what followed 1.5.0.

C
Cortex
ANALYTICS
2.5

Cortex 1.22 is on its fourth candidate, with sharded Parquet and years of deprecated flags removed.

◆ Current state

Cortex 1.22.0 has been in release candidates since 12 September, reaching rc.3 on 6 October, and GitHub shows no final yet. The candidate adds sharded Parquet conversion and querying, resource-based query eviction that cancels the heaviest query when CPU or heap crosses a threshold, OCI Object Storage as a backend, and an active-series tracker per tenant. It also removes long-deprecated flags and config fields, some of which now stop Cortex from starting if left in place.

◆ Where it's heading

The storage arc toward Parquet continues: after 1.21 made Parquet a Store Gateway query mode, 1.22 shards files that exceed column limits. A second arc is protecting shared clusters from heavy tenants, through query eviction, resource-based throttling and concurrent data-byte limits on store gateways. The cleanup is the maturity arc from 1.21 carried further: no-op flags that were tolerated for releases now fail at startup.

◆ Prediction

1.22.0 final should follow rc.3, which added only two fixes. Operators should expect upgrade failures from leftover deprecated flags, and the release notes tell them to grep runtime configs before upgrading.

Apache Pinot alternatives

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Tap any card for the full editorial trajectory or compare directly with Apache Pinot.

See all Apache Pinot alternatives →

Cortex alternatives

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Tap any card for the full editorial trajectory or compare directly with Cortex.

See all Cortex alternatives →

Recent activity from Apache Pinot and Cortex

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 4d agoApache PinotPinot 1.6.0: SQL DDL, IVF vector search, Java 25 requirement ⚡
  2. 10d agoApache PinotPinot 1.6.0 rc1 tag, no release notes
  3. 16d agoApache PinotPinot 1.6.0 RC0: first candidate with the 1.6 highlights
  4. 26d agoCortex1.22 candidate 4 fixes tenant-deletion cleanup on GCS and Azure
  5. 1mo agoCortex1.22 candidate 3 fixes the ingestion-delay histogram
  6. 1mo agoCortex1.22 candidate 2 adds three bug fixes
  7. 1mo agoCortex1.22 candidate: sharded Parquet, query eviction, OCI storage
  8. 4mo agoApache PinotApache Pinot 1.5.1
  9. 5mo agoCortex1.21.1 candidate hardens gossip, ingestion and status pages
  10. 6mo agoApache PinotApache Pinot Release 1.5.0 ⚡
  11. 6mo agoCortex1.21.0-rc.1 fixes memberlist, tenant federation and a memory leak
  12. 1y agoApache PinotApache Pinot Release 1.4.0

Frequently asked questions

What is the difference between Apache Pinot and Cortex?

They serve adjacent needs but don't currently overlap on shipped themes. Apache Pinot is currently shipping more aggressively (velocity 6.3 vs 2.5), 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.

Is Apache Pinot better than Cortex?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Pinot is currently shipping more aggressively (velocity 6.3 vs 2.5), with 1 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 Apache Pinot?

Top Apache Pinot alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Pinot alternatives" section above for the current picks, or visit /alternatives/apache-pinot for the full list with editorial commentary on each.

What are the best alternatives to Cortex?

Top Cortex alternatives in Analytics are ranked by recent ship velocity. Browse the "Cortex alternatives" section above for the current picks, or visit /alternatives/cortex-metrics for the full list with editorial commentary on each.