Databend
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
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What is Databend?
Databend is an open-source, cloud-native data warehouse built in Rust and fully based on object storage. It has evolved from a single analytics engine into a unified multimodal database that supports BI Analytics, AI Vectors, Full-Text Search, and Geospatial Analysis on one platform through Snowflake-compatible SQL. Databend enables real-time data ingestion, transformation, and analysis via Stream + Task functionality.
The platform features a unified engine where analytics, vector, search, and geo capabilities share one optimizer and runtime. It supports unified data handling where structured, semi-structured, unstructured, and vector data all share object storage. Databend is analytics-native with ANSI SQL support, windowing functions, incremental aggregates, and streaming power for BI. It is also vector-native with embeddings, vector indexes, and semantic retrieval that all run in SQL, plus search-native full-text search with inverted indexes for hybrid retrieval.
Databend is designed for data engineers, data analysts, data scientists, and development teams who need a cost-effective cloud data warehouse. It serves organizations looking for a Snowflake alternative with 90%+ SQL parity, teams building AI applications needing native vector support, and companies wanting to avoid vendor lock-in with open Apache Parquet format storage. The platform integrates with popular BI tools like Tableau, Metabase, Superset, Grafana, and notebooks like Jupyter and Deepnote.
Databend Cloud is the fully-managed serverless option, while Databend Enterprise offers self-hosted deployment with enterprise support. The open-source Community Edition is available under Apache 2.0 license for free commercial and non-commercial use, providing the same core analytics engine without enterprise-specific features.
Databend pricing
Pricing model: Freemium
Databend offers three main pricing options. Databend Cloud is pay-as-you-use with $200 free credits upon sign-up. The Personal plan costs $23.00/month per TB for storage and minimum $1.00/hr for compute (1-5 minute provisioning, 1 day time travel, 99% uptime SLA, 1 business day response). The Business plan costs $23.00/month per TB for storage and minimum $1.50/hr for compute (under 15 seconds provisioning with reserved resources, up to 90 days data retention, Private Link, 24/7 support with 8-hour critical response, 99.9% uptime SLA). The Dedicated plan for medium to large enterprises has custom pricing with instant compute provisioning, customizable resources, fully isolated environment, and up to 99.95% uptime SLA. Databend Community Edition is free under Apache 2.0 license for self-hosted deployment. Databend Enterprise uses license-based pricing for self-hosted with enterprise support.
Databend pros
- Open-source core under Apache 2.0 license with zero vendor lock-in
- Built in Rust for superior performance and memory safety
- Snowflake-compatible SQL with 90%+ parity for easy migration
- True separation of storage and compute for independent scaling
- Per-second billing model with transparent costs
- Native vector support for AI embeddings and semantic retrieval in SQL
- Full-text search with inverted indexes for hybrid retrieval
- Geospatial indexes and functions for map and location services
- Open Apache Parquet format stored in your S3 bucket
- Sub-second streaming and real-time data ingestion via Stream + Task
- <500ms cold start on Databend Cloud serverless
- $200 free credits upon account activation
- SOC 2 Type II and GDPR compliant security
- Supports multiple data types: JSON, ARRAY, MAP, VARIANT, BITMAP, TUPLE
- Flexible deployment: Cloud, self-hosted Enterprise, or Community Edition
- Auto suspend and auto resume for compute clusters
- Time travel support for accessing/restoring modified and deleted data
- Vectorized query engine built on Apache Arrow for CPU-optimized batches
- 99% to 99.95% uptime SLA depending on plan
- Up to 70% cost reduction compared to proprietary platforms
Databend cons
- Community Edition lacks enterprise features like audit function and RBAC
- Elastic 2.0 licensed features require Enterprise license key for paid features
- Limited community support compared to commercial platforms
- Smaller ecosystem and fewer third-party integrations than Snowflake
- Only 1 day time travel on Personal plan (up to 90 days on Business)
- Manual deployment and upgrade for Community Edition
- No reserved resources on Personal plan (1-5 minute provisioning)
- 1 business day response time for non-critical issues on Personal plan
- 99% uptime SLA on Personal plan vs 99.9% on Business plan
- Community Edition missing advanced monitoring and alerting APIs
- JSON stored as raw text format needing optimization for performance
- Fewer contributors and smaller community (100+ contributors)
- Limited documentation translation resources
- Enterprise features require contacting sales for licensing
- Cloud service fees apply in addition to storage and compute costs
Frequently asked questions about Databend
What is Databend?
Databend is an open-source, cloud-native data warehouse built in Rust and fully based on object storage. It has evolved from a single analytics engine into a unified multimodal database that supports BI Analytics, AI Vectors, Full-Text Search, and Geospatial Analysis on one platform through Snowflake-compatible SQL. It enables real-time data ingestion, transformation, and analysis via Stream + Task.
What are the primary objects, hierarchy, and associated privileges in Databend?
Databend objects follow a hierarchical structure across two levels. Fine-grained privileges and ownership are designed for each type of object, providing flexibility. The hierarchy includes catalogs, databases, tables, views, and other database objects. For detailed information on privileges, see the Access Control documentation.
How do I create a table in Databend?
Use the CREATE TABLE command to create a table in Databend. Except for DECIMAL, there is no need to specify field length. Example: CREATE TABLE example (c1 INT, c2 VARCHAR, c3 DATETIME, c4 DECIMAL(20, 2), c5 BITMAP, c6 TUPLE(FLOAT, FLOAT)). Databend supports multiple data types including INT, VARCHAR, DATETIME, DECIMAL, BITMAP, TUPLE, ARRAY, MAP, JSON, and VARIANT.
What is the difference between Databend Cloud, Enterprise, and Community editions?
Databend Cloud is a fully-managed serverless SaaS on public cloud with pay-as-you-go pricing and 24/7 technical support. Databend Enterprise is self-hosted with license-based pricing and enterprise support. Databend Community is the open-source version under Apache 2.0 license, free for commercial and non-commercial use, with community support only. Cloud includes all Enterprise features.
Is Databend compatible with Snowflake?
Yes, Databend offers 90%+ SQL parity with Snowflake, making migration easier without rewriting entire workflows. You can point your BI tools and dbt models at a new endpoint. Databend Cloud ensures compatibility with Snowflake's SQL syntax, allowing teams to transition in 3 weeks instead of 3 quarters.
What data types does Databend support?
Databend supports multiple data types including TINYINT, SMALLINT, INT, BIGINT, FLOAT, DOUBLE, DECIMAL, DATE, TIMESTAMP, DATETIME, YEAR, VARCHAR, CHAR, BINARY, TEXT, ARRAY, BOOLEAN, TUPLE, MAP, JSON, VARIANT, and BITMAP. It handles structured, semi-structured (JSON), unstructured, and vector data natively.
How does Databend pricing work?
Databend Cloud operates on a Pay-as-You-Use charging model based on warehouse usage duration and data storage volume. Charges are determined per-second for compute. Upon account activation, you receive $200 free credits. You can set spending limits to control expenses and track every penny through the comprehensive billing system.
What are the key features of Databend?
Key features include: Unified Engine (analytics, vector, search, geo share one optimizer), Unified Data (all data types share object storage), Analytics Native (ANSI SQL, windowing, incremental aggregates, streaming), Vector Native (embeddings, vector indexes, semantic retrieval in SQL), Search Native (full-text search, inverted indexes), and Geo Native (geospatial indexes and functions).
How do I load data into Databend?
Databend supports bulk import with multiple formats including CSV, JSON, Parquet, ORC, and TSV. You can load data from Kafka, dbt, Airbyte, Flink CDC, Addax, DataX, Debezium, Tapdata, Vector, MySQL, and Amazon S3. The platform supports data streaming and CDC data real-time import for continuous data pipelines.
What BI and visualization tools integrate with Databend?
Databend seamlessly integrates with popular BI tools and notebooks including Deepnote, Jupyter, Metabase, Grafana, Redash, Superset, Tableau, and MindsDB. It also provides REST APIs for direct integration and custom applications, with official drivers for Python, Java, Golang, Node.js, Rust, and a CLI tool called BendSQL.