Apache Dorisvs
ClickHouse


ClickHouse: If you want the fastest raw scan performance and a much larger English-language community and managed cloud

MPP analytical database with a MySQL wire protocol and sub-second aggregation on wide tables
As of 31 August 2026, Apache Doris is free to use. A columnar OLAP database from Baidu, now an Apache top-level project, that speaks the MySQL protocol so existing clients and BI tools connect without a driver change. Softwr lists it under Databases. Apache Doris is made by Apache Software Foundation, available on Linux, Docker, Kubernetes.
Overview
Apache Doris is a massively parallel analytical database designed for high-concurrency reporting and real-time aggregation. It stores data column-wise with pre-aggregated materialised views and rollups, supports both a fixed-schema aggregate model and a unique-key model with real-time updates, and exposes everything through the MySQL wire protocol. It ingests from Kafka via routine load, from Flink and Spark connectors, and can query external Hive, Iceberg and Hudi tables through a multi-catalogue federation layer. The distinguishing property for buyers is compatibility. Because Doris answers on the MySQL protocol, any tool, driver or ORM that already talks to MySQL works against it unchanged, which removes the driver and dialect friction that slows adoption of ClickHouse or Druid. Combined with genuine support for updates and deletes on a unique key, this makes Doris a common choice for teams migrating reporting off a strained MySQL replica rather than building a new stack. Adoption is heaviest in China, where it originated at Baidu and is used widely at large internet companies. The trade-off is governance and support. Two commercial companies, VeloDB and SelectDB, were founded by overlapping groups of core contributors, and the two now sell competing managed versions of the same project. Much of the mailing list traffic, design discussion and issue reporting happens in Chinese, which raises the cost of getting help if your team does not read it.
The honest half
Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Apache Doris.
Cross-shopped
Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.


ClickHouse: If you want the fastest raw scan performance and a much larger English-language community and managed cloud


Apache Druid: If your workload is time series and streaming ingest with high concurrency dashboards


Snowflake: If you would rather buy a managed warehouse than operate an MPP cluster yourself
Pricing
Taken from the vendor's own pricing page. Prices move, so check before you buy.
Apache Doris
Free
Capabilities
MySQL wire protocol
Existing MySQL clients, drivers and BI connectors work without change
Aggregate and unique key models
Pre-aggregation on write, or real-time upserts with primary key deduplication
Materialised views
Automatically substituted rollups maintained on ingest
Multi-catalogue federation
Query Hive, Iceberg, Hudi, JDBC sources alongside internal tables
Routine load from Kafka
Continuous ingestion jobs managed inside the database
Compute storage separation
Optional architecture separating query nodes from shared object storage
Inverted indexes
Text and point-lookup indexing for log and search style queries
Workload groups
Resource isolation between competing query workloads on one cluster
Answered, with sources
Each answer names the page it came from, so you can check it rather than take our word for it.
Yes, it is Apache 2.0 with no usage restrictions. The commercial products are managed services from VeloDB and SelectDB.
Yes, it implements the MySQL wire protocol, so clients and BI connectors attach without a new driver, though SQL semantics differ.
Doris handles updates and high concurrency more comfortably; ClickHouse is generally faster on raw single-query scan throughput and has far wider Western support.
The Apache Software Foundation project, with most committers employed by VeloDB or SelectDB.
Keep looking
Fast open-source column-oriented database for real-time analytics
Apache 2.0 MPP analytical database built for joins on open table formats
Managed ClickHouse with a workflow that turns SQL queries into hosted HTTP APIs
MIT-licensed analytical SQL database that runs inside your process, with no server, no dependencies and one writer at a time.
Apache 2.0 distributed SQL database with MySQL wire compatibility and a separate columnar replica for analytical queries.
Google Cloud's serverless analytical warehouse, billed either by bytes scanned per query or by reserved compute slots.
Industrial process historian with published per-tag pricing and no client licence fees
High-performance Redis-compatible in-memory datastore with 25x better throughput
SQL query engine and lakehouse layer over Iceberg tables in object storage
Database caching and optimization that reduces infrastructure costs 30-70%
Log-based change data capture for database replication and synchronization
The AI-powered database built for demanding enterprise workloads
NetApp-owned managed service for Cassandra, Kafka, OpenSearch, PostgreSQL and Cadence with a bring-your-own-cloud model
Hosted no-code database and web app builder priced by stored records and storage, with unlimited user accounts on every plan.
Embedded retrieval library over the Apache 2.0 Lance columnar format, with proprietary Cloud and Enterprise tiers for serving at scale.
Softwr does not host reviews and shows no star rating for Apache Doris, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.
What people switch to, and what they give up
Every tier, and where the cost actually lands
Put it head to head with anything we hold
Its rating, and an embed for your own site
Industrial process historian with published per-tag pricing and no client licence fees
Per tag band per yearNetApp-owned managed service for Cassandra, Kafka, OpenSearch, PostgreSQL and Cadence with a bring-your-own-cloud model
quoteErlang MQTT broker for large IoT fleets, relicensed to BSL with production free use limited to one node
Per month by connection and session volumeAttribute-based access control and masking applied inside Snowflake, Databricks and BigQuery
quoteStreaming database that maintains incremental materialised views in SQL instead of Flink jobs
Per RisingWave Unit hourCentralised data access governance from the creators of Apache Ranger, now rebranding as Trust3 AI
quoteThe Meta-lineage distributed SQL query engine, distinct from the Trino fork
Open source, no licence fee