Apache Doris vs Apache Pinot

Apache Doris8.9Visit Apache Pinot8.7Visit

Higher score Apache Doris #6 in OLAP Software 8.9/10 Free plan Free plan✓ 3 of 3 features Visit Apache Doris

vs

Apache Pinot #8 in OLAP Software 8.7/10 Open source ✓ 3 of 3 features Visit Apache Pinot

• Apache Doris fits best

  Teams wanting open-source OLAP

• Apache Pinot fits best

  Embedded real-time analytics builders

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Side by side

Feature	Apache Doris 8.9/10 Visit ↗	Apache Pinot 8.7/10 Visit ↗
At a glance
Editor score	8.9	8.7
Ranking	#6 in OLAP Software	#8 in OLAP Software
Best for	Teams wanting open-source OLAP	Embedded real-time analytics builders
Pricing model	Free	Free
Starting price	Free plan	Open source
Free plan	✓ (best)	Not checked yet
Free trial	—	—
Deployment	Self-hosted	Self-hosted
Support	Community, Docs	Community, Docs
Integrations	50+ integrations	13 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features Apache Doris 3/3 · Apache Pinot 3/3
Real-time ingestion	✓	✓
Row-level security	✓	✓
Embedded analytics	✓	✓
Specs
Deployment	Self_hosted	Self_hosted
Query language	Sql	Sql
Included users	Not checked yet	Not checked yet
Data source coverage	databases, streaming, lakehouse, BI, AI, observability	Streaming: Kafka, Pulsar, Kinesis; batch: Hadoop, Spark, Amazon S3, Azure ADLS, Google Cloud Storage
Our review
Pros	Real-time streaming and CDC ingestion with MPP query execution Federated queries across databases, catalogs, and lakehouse sources Materialized views, search, row-level policies, and embedded analytics	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	Self-hosted deployment places operational responsibility on the team Broad capabilities may require more architecture than focused BI tools No product pricing tiers are presented for the open-source deployment	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	Apache Doris is an open-source, MPP-based analytical database for teams building real-time analytics, data warehouses, lakehouse queries, observability workloads, and AI applications. It uses standard SQL through MySQL protocol… 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 →

Strengths and trade-offs

• Apache Doris — where it wins

  • Real-time streaming and CDC ingestion with MPP query execution
  • Federated queries across databases, catalogs, and lakehouse sources
  • Materialized views, search, row-level policies, and embedded analytics

  Where it doesn't

  • Self-hosted deployment places operational responsibility on the team
  • Broad capabilities may require more architecture than focused BI tools
  • No product pricing tiers are presented for the open-source deployment

• 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

• Apache Doris8.9/10 · Free plan

  A broad, SQL-compatible OLAP database for teams prepared to manage self-hosting.

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

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

  Visit Apache PinotFull verdict →