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Head-to-head · OLAP Software

Azure Synapse Analytics vs Apache Pinot

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Azure Synapse Analytics #5 in OLAP Software 9.0/10 Pricing on request ✓ 0 of 3 features Visit Microsoft
Apache Pinot #8 in OLAP Software 8.7/10 Open source ✓ 3 of 3 features Visit Apache Pinot

Azure Synapse Analytics leads on 0 checks, Apache Pinot on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAzure Synapse Analytics · 9.0/10
  • Most featuresApache Pinot · 3 of 3

Azure Synapse Analytics scores higher on our rubric for olap software: 9.0 against 8.7 out of 10; our editors rank them #5 and #8.

Azure Synapse Analytics is the better fit for microsoft data platform teams. Apache Pinot is the better fit for embedded real-time analytics builders.

  • Azure Synapse Analytics fits best

    Microsoft data platform teams

  • Apache Pinot fits best

    Embedded real-time analytics builders

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Side by side

Feature Azure Synapse Analytics 9.0/10 Visit ↗ Apache Pinot 8.7/10 Visit ↗
At a glance
Editor score 9.0 8.7
Ranking #5 in OLAP Software #8 in OLAP Software
Best for Microsoft data platform teams Embedded real-time analytics builders
Pricing model Paid Free
Starting price — Open source
Free plan — Not checked yet
Free trial — —
Deployment Cloud Self-hosted
Support Docs, Community Community, Docs
Integrations 90+ integrations 13 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Azure Synapse Analytics 0/3 · Apache Pinot 3/3
Real-time ingestion Not checked yet ✓ (best)
Row-level security Not checked yet ✓ (best)
Embedded analytics Not checked yet ✓ (best)
Specs
Deployment Not checked yet Self_hosted
Query language Not checked yet Sql
Included users Not checked yet Not checked yet
Data source coverage Not checked yet Streaming: Kafka, Pulsar, Kinesis; batch: Hadoop, Spark, Amazon S3, Azure ADLS, Google Cloud Storage
Our review
Pros
  • Combines dedicated SQL, serverless SQL, Spark, and Data Explorer
  • Queries Parquet, CSV, TSV, JSON, and Delta Lake data
  • Connects with Power BI, Azure services, pipelines, and CI/CD
  • Streams data from Kafka, Pulsar, and Kinesis in real time
  • Combines streaming and batch sources in one table
  • Supports SQL, REST access, joins, upserts, and varied indexes
Cons
  • No free plan for teams evaluating the platform
  • Broad scope can exceed the needs of focused OLAP workloads
  • Cloud deployment limits it to web-based access
  • Self-hosted deployment requires infrastructure ownership
  • No managed cloud service is included
  • Its focus is real-time OLAP rather than general-purpose analytics
Our verdict

Azure Synapse Analytics is Microsoft's cloud analytics service for enterprise data warehousing, data lake exploration, big data processing, and data integration. It is aimed at Microsoft data platform teams that need dedicated or…

Read the review →

Apache Pinot is an open-source, distributed OLAP database for user-facing and agent-facing real-time analytics. It is designed for embedded analytics, customer dashboards, metrics APIs, and other high-concurrency analytical applications.…

Read the review →
  1. Azure Synapse AnalyticsOLAP Software 9.0Pricing on request
  2. Apache PinotOLAP Software 8.7Open source

Strengths and trade-offs

  • Azure Synapse Analytics — where it wins

    • Combines dedicated SQL, serverless SQL, Spark, and Data Explorer
    • Queries Parquet, CSV, TSV, JSON, and Delta Lake data
    • Connects with Power BI, Azure services, pipelines, and CI/CD

    Where it doesn't

    • No free plan for teams evaluating the platform
    • Broad scope can exceed the needs of focused OLAP workloads
    • Cloud deployment limits it to web-based access

  • Apache Pinot — where it wins

    • Streams data from Kafka, Pulsar, and Kinesis in real time
    • Combines streaming and batch sources in one table
    • Supports SQL, REST access, joins, upserts, and varied indexes

    Where it doesn't

    • Self-hosted deployment requires infrastructure ownership
    • No managed cloud service is included
    • Its focus is real-time OLAP rather than general-purpose analytics
  • Azure Synapse Analytics9.0/10 · Pricing on request

    A broad Microsoft cloud analytics stack for teams spanning warehouses, lakes, streaming, and ML.

    Visit MicrosoftFull verdict →
  • Apache Pinot8.7/10 · Open source

    A self-hosted OLAP database for embedding low-latency analytics into products.

    Visit Apache PinotFull verdict →

More comparisons

All OLAP software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update