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Comparison · Analytics
Apache Pinot vs Mode Analytics
A side-by-side editorial comparison of Apache Pinot and Mode Analytics — release velocity, themes, recent moves, and the top alternatives to consider.
Apache Pinot vs Mode Analytics: at a glance
| Feature | Apache Pinot | Mode Analytics |
|---|---|---|
| Sector | Infra & APIs, Analytics | Analytics |
| Velocity score | 6.3 | 0.0 |
| Sparks · 30d | 1 | 0 |
| Top themes | real-time-olap, sql-ddl, vector-search, materialized-views | business intelligence, snowflake, oauth, data governance |
| Last editorial update | 1h ago | 2h ago |
| Website | 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.
What is Mode Analytics?
Mode resurfaces after almost five quiet months with per-user Snowflake sign-in
After the spreadsheet mode in April, this feed shows nothing until September, when Mode added OAuth and OAuth with PKCE for Snowflake. Each user now signs in with their own Snowflake credentials, including SSO, and queries run under that user's permissions. Earlier 2026 work still defines the product: spreadsheets with 70+ formulas beside SQL and Python, cross-source Data Mashup, and a refreshed SQL editor.
Apache Pinot vs Mode Analytics: editorial side-by-side
Apache Pinot
6.3INFRA · APISANALYTICS
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.
Mode Analytics
0.0ANALYTICS
Mode resurfaces after almost five quiet months with per-user Snowflake sign-in
◆ Current state
After the spreadsheet mode in April, this feed shows nothing until September, when Mode added OAuth and OAuth with PKCE for Snowflake. Each user now signs in with their own Snowflake credentials, including SSO, and queries run under that user's permissions. Earlier 2026 work still defines the product: spreadsheets with 70+ formulas beside SQL and Python, cross-source Data Mashup, and a refreshed SQL editor.
◆ Where it's heading
Mode's 'one workspace for SQL, Python and spreadsheets' position stands, but the pace on this feed has slowed sharply. The Snowflake change is a governance move, replacing a shared service account with warehouse-level permissions per user, which continues the earlier admin work. It adds no analyst-facing capability.
◆ Prediction
The single entry since April gives little to project from. OAuth for other warehouses would be the natural follow-up, but the feed does not confirm it.
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.
Verdaccio
Verdaccio's v9 pre-release counter reaches 41, and the notes still say nothing
Snort 3
Snort 3.12.4 pairs a long memory-safety pass with detection speed work
HAProxy Kubernetes Ingress Controller
Nineteen patches into 3.2, HAProxy's ingress controller is mostly bumping dependencies
Honeycomb
Honeycomb is working on the first ten minutes, not just the incident
Talos Linux
Talos 1.15's alpha keeps moving: a silent containerd config trap and declarative CPU control
Mode Analytics alternatives
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Tap any card for the full editorial trajectory or compare directly with Mode Analytics.
Axiom
Axiom makes agent work checkable, and points alerts straight at coding agents
Displayr
Displayr's Chat can now apply and write Rules, so it changes tables as well as explaining them.
Tinylytics
Tinylytics is cleaning its numbers and adding an AI-ranked SEO audit for Ultra customers
Apache Druid
Druid 38 drops Java 17, recommends Java 25 and took longer to arrive than its predecessors
Calibre
Lighthouse 13.6 shifts Calibre's scores and adds audits for how AI agents read your pages
Superwise
Superwise now measures the tokens it saves and can shorten model replies to save more
Recent activity from Apache Pinot and Mode Analytics
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4d agoApache PinotPinot 1.6.0: SQL DDL, IVF vector search, Java 25 requirement ⚡
- 10d agoApache PinotPinot 1.6.0 rc1 tag, no release notes
- 16d agoApache PinotPinot 1.6.0 RC0: first candidate with the 1.6 highlights
- 1mo agoMode AnalyticsOAuth support for Snowflake
- 4mo agoApache PinotApache Pinot 1.5.1
- 6mo agoApache PinotApache Pinot Release 1.5.0 ⚡
- 6mo agoMode AnalyticsNative spreadsheet mode lands in Mode reports ⚡
- 8mo agoMode AnalyticsWhite Label Embeds : Per-Visualization Data Downloads
- 8mo agoMode AnalyticsData Mashup enables cross-source SQL joins in one report ⚡
- 8mo agoMode AnalyticsNew and Improved SQL Editor
- 11mo agoMode AnalyticsIntroducing Shareable Report Views
- 1y agoApache PinotApache Pinot Release 1.4.0
Frequently asked questions
What is the difference between Apache Pinot and Mode Analytics?
They serve adjacent needs but don't currently overlap on shipped themes. Apache Pinot is currently shipping more aggressively (velocity 6.3 vs 0.0), 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 Mode Analytics?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Pinot is currently shipping more aggressively (velocity 6.3 vs 0.0), 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 Mode Analytics?
Top Mode Analytics alternatives in Analytics are ranked by recent ship velocity. Browse the "Mode Analytics alternatives" section above for the current picks, or visit /alternatives/mode for the full list with editorial commentary on each.