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Editions

Databend Cloud comes in three editions: Standard, Business, and Dedicated, that you can choose from to serve a wide range of needs and ensure optimal performance for different use cases.

For a quick overview of these editions, see https://www.databend.com/databend-cloud. For the pricing information, see Pricing & Billing. For the detailed feature list among these editions, see Feature Lists.

Feature Lists

The following are feature lists of Databend Cloud among editions:

Release Management

FeaturesStandardBusinessDedicated
Early access to weekly new releases, which can be used for additional testing/validation before each release is deployed to your production accounts.

Security & Governance

FeaturesStandardBusinessDedicated
SOC 1 Type I certification.
Automatic encryption of all data.
Object-level access control.
Standard Time Travel (up to 1 day) for accessing/restoring modified and deleted data.
Disaster recovery of modified/deleted data (for 7 days beyond Time Travel) through Fail-safe.
Extended Time Travel.90 days90 days
Column-level Security to apply masking policies to columns in tables or views.
Audit the user access history through the Account Usage ACCESS_HISTORY view.
Support for private connectivity to the Databend Cloud service using AWS PrivateLink.
Dedicated metadata store and pool of compute resources (used in virtual warehouses).

Compute Resource

FeaturesStandardBusinessDedicated
Virtual warehouses, separate compute clusters for isolating query and data loading workloads.
Multi-cluster scaling
Resource monitors for monitoring virtual warehouse credit usage.

SQL Support

FeaturesStandardBusinessDedicated
Standard SQL, including most DDL and DML defined in SQL:1999.
Advanced DML such as multi-table INSERT, MERGE, and multi-merge.
Broad support for standard data types.
Native support for semi-structured data (JSON, ORC, Parquet).
Native support for geospatial data.
Native support for unstructured data.
Collation rules for string/text data in table columns.
Multi-statement transactions.
User-defined functions (UDFs) with support for JavaScript, Python, and WebAssembly.
External functions for extending Databend Cloud to other development platforms.
Amazon API Gateway private endpoints for external functions.
External tables for referencing data in a cloud storage data lake.
Support for clustering data in very large tables to improve query performance, with automatic maintenance of clustering.
Search optimization for point lookup queries, with automatic maintenance.
Materialized views, with automatic maintenance of results.
Iceberg tables for referencing data in a cloud storage data lake.
Schema detection for automatically detecting the schema in a set of staged semi-structured data files and retrieving the column definitions.
Schema evolution for automatically evolving tables to support the structure of new data received from the data sources.
Support for creating table with external location.
Supports for ATTACH TABLE.

Interfaces & Tools

FeaturesStandardBusinessDedicated
The next-generation SQL worksheet for advanced query development, data analysis, and visualization.
BendSQL, a command line client for building/testing queries, loading/unloading bulk data, and automating DDL operations.
Programmatic interfaces for Rust, Python, Java, Node.js, .js, PHP, and Go.
Native support for JDBC.
Extensive ecosystem for connecting to ETL, BI, and other third-party vendors and technologies.

Data Import & Export

FeaturesStandardBusinessDedicated
Bulk loading from delimited flat files (CSV, TSV, etc.) and semi-structured data files (JSON, ORC, Parquet).
Bulk unloading to delimited flat files and JSON files.
Continuous micro-batch loading.
Streaming for low-latency loading of streaming data.
Databend Cloud Connector for Kafka for loading data from Apache Kafka topics.

Data Pipelines

FeaturesStandardBusinessDedicated
Streams for tracking table changes.
Tasks for scheduling the execution of SQL statements, often in conjunction with table streams.

Customer Support

FeaturesStandardBusinessDedicated
Logging and tracking support tickets.
4/7 coverage and 1-hour response window for Severity 1 issues.
Response to non-severity-1 issues in hours.8h4h1h
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