💡 Pick it for faster large-scale event analytics and a larger open-source ecosystem.
ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real-time.
Best Apache Doris Alternatives ranked by AI · updated Aug 2026
Apache Doris is an open-source, MPP analytical database for real-time reporting, business intelligence, and lakehouse workloads. It provides MySQL-compatible SQL, high-concurrency queries, and unified access to batch and streaming data.
Developer: Apache Software Foundation
Price: Free and open source; managed cloud pricing varies
🎯 doris.apache.org
Top 6 Apache Doris alternatives
💡 Pick it when you want a highly similar open-source MPP engine with strong BI concurrency.
StarRocks is an open-source, MPP analytical database built for real-time analytics and high-concurrency business intelligence. It combines fast vectorized execution with lakehouse...
Pros
- Very close feature and workload fit for Apache Doris deployments
- Strong performance for interactive dashboards and concurrent users
- Supports real-time ingestion and querying across warehouse and lake data
Cons
- Smaller community and third-party ecosystem than ClickHouse
- Requires specialized expertise for distributed deployment and tuning
- Some advanced capabilities depend on version or managed offering
Free and open source; managed cloud pricing varies
💡 Pick it for a fully managed warehouse with mature governance, sharing, and cloud integrations.
Snowflake is a cloud data platform for storing, processing, sharing, and analyzing enterprise data. It serves data teams, analysts, and developers with...
Pros
- Broader cloud data warehouse ecosystem than 1010data
- Strong separation of storage and compute for flexible scaling
- Extensive data-sharing and governance capabilities
Cons
- Costs can be difficult to predict without workload controls
- Requires more tooling for advanced data preparation and machine learning
- Less specialized for 1010data's retail-focused analytical workflows
Usage-based; contact sales
4
💡 Pick it for serverless analytics and tight integration with Google Cloud and its data services.
Google BigQuery is a serverless, highly scalable, and cost-effective multi-cloud data warehouse designed for business agility.
Pros
- Serverless
- Scalable
- Integration with Google Cloud services
Cons
- Can be expensive for large datasets
- Limited support for complex queries
Pay-as-you-go pricing model
💡 Pick it when SQL analytics must share a platform with lakehouse engineering, streaming, and machine learning.
Databricks is a unified data analytics platform that provides a collaborative environment for big data and machine learning.
Contact for pricing
6
Trino
Trino Software
💡 Pick it for federated SQL across many existing databases and data lake sources.
Trino is an open-source distributed SQL query engine for querying data across warehouses, lakes, databases, and SaaS systems. It is designed for...
Pros
- Excellent federation across many heterogeneous data sources
- Open-source engine with a large connector ecosystem
- Works well with data lakes and open table formats
Cons
- Usually requires external storage systems and catalog management
- Interactive performance depends heavily on source connectors and data layout
- Less turnkey than Doris for serving high-concurrency BI dashboards
Free and open source; managed offerings priced by provider
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