Databend

What Databend does

Databend is a cloud-native data warehouse company founded in 2021 and headquartered in Las Vegas, with a remote-first team of 51-100 employees and a Singapore-linked entity. The company offers a unified, Rust-powered engine that consolidates SQL analytics, full-text and JSON search, vector search for AI workloads, and geospatial queries into a single platform with vectorized execution, columnar storage, and Raft-based distributed metadata. Its product portfolio is structured as three tiers: Databend Cloud (a fully managed, serverless cloud warehouse with pay-as-you-use pricing and <500ms cold start), Databend Enterprise (a self-hosted deployment with encryption, masking, Python UDFs, materialized views, and 24/7 support), and Databend Community (a free, self-hosted open-source edition). Databend is positioned as a cost-effective Snowflake alternative, claiming >50% cost savings versus Snowflake Standard, Snowflake-compatible SQL, native support for eight cloud storage backends, and a 99.95% uptime SLA.

The company's go-to-market is primarily product-led and community-led: new users receive $200 in free credits on signup, the open-source project has attracted 9.3k+ GitHub stars and 230+ contributors, and distribution runs through self-serve downloads, BendSQL CLI tooling, AWS Marketplace, and an enterprise demo path. Target customer segments span four named verticals (Gaming, Crypto, E-commerce, Banking) with data teams and developers identified as the primary persona. Compliance posture includes SOC 2 Type II and GDPR. As of the latest data, Databend has raised a single $6M seed round from UnityVC in August 2021, with no subsequent funding events disclosed and no public revenue figures, placing the company at an early commercial stage despite significant product and ecosystem maturity.

Name

Databend

Legal name

Databend Cloud

Website

https://databend.com

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

1–10 employees

Short description

Databend is a Rust-powered cloud data warehouse unifying SQL analytics, full-text/JSON search, vector search, and geospatial queries, offered as managed Cloud, self-hosted Enterprise, and free Community tiers, targeting cost-conscious data teams as a Snowflake alternative.

Ownership category

akta.pro rank

Product category

Cloud Data Warehouse

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design and Related Services (54151)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Cloud Data Warehouses (HDAEABAA)

akta.pro secondary industries

Query Engines & SQL Analytics Layers for Warehouses/Lakes (HDAEABAI), Database-as-a-Service (DBaaS) Platforms (HDAEAAAN), Data Warehouse/Lakehouse Performance Optimization & Cost Management (HDAEABAL), Data Lake Platforms (HDAEABAC)

Keywords

• Cloud data warehouse
• Vector database search
• Real-time SQL analytics
• AI-ready data platform
• Multi-cloud object storage

Headquarters

HQ city

Singapore

HQ country

Singapore

HQ region

Asia

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Databend Cloud Subscription: Fully managed cloud data warehouse with pay-as-you-use pricing. Users get $200 free credits on signup. Compute and storage resources scale automatically with usage.
2. Databend Cloud Usage-based: Consumption-based pricing where customers pay for actual compute and storage usage. Snowflake-compatible SQL with automatic scaling.
3. Databend Enterprise License: Self-hosted deployment with enterprise features including storage encryption, masking policies, virtual columns, Python UDFs, materialized views, and dedicated support.

Pricing tiers

Go-to-market motion2 records

Distribution channels5 records

Marketing channels9 records

Core offering

Databend builds a Rust-powered, cloud-native data warehouse that unifies SQL analytics, full-text and JSON search, vector search for AI workloads, and geospatial queries within a single vectorized execution engine. The platform offers columnar storage with multi-version snapshots, native integration with object storage across S3, Azure, GCS, OSS, R2, MinIO, and HDFS, and Snowflake-compatible SQL with sub-500ms provisioning and automatic scaling.

Product overview

Databend offers a unified cloud data warehouse platform built on Rust that combines SQL analytics, full-text and JSON search, and vector search for AI workloads. The product portfolio consists of Databend Cloud (fully managed serverless offering), Databend Enterprise (self-hosted with advanced security and analytics features), and Databend Community (free open-source edition). Developer tools include BendSQL (native CLI client) and the MCP Server for AI assistant integration. The platform is architecture-complete with vectorized execution, columnar storage, and multi-version data capabilities supporting time travel.

Differentiator

Problem solved

Functional benefit

Brands

• Databend Cloud: Fully managed, serverless cloud data warehouse with analytics, search, and AI capabilities.
• Databend Enterprise
• Databend Community
• BendSQL

Products and services

• Databend Cloud Fully managed, serverless cloud data warehouse offering analytics, full-text and JSON search, vector search for AI, and Python sandbox capabilities for enterprise data teams. Includes automatic scaling with sub-500ms provisioning and pay-as-you-use pricing.
• Databend Enterprise Self-hosted deployment option with enterprise features including storage encryption, dynamic data masking policies, materialized views, Python UDFs, virtual columns, AI functions, and cold/hot data separation, with dedicated support and SLA.
• Databend Community Free, self-hosted open-source data warehouse edition with core database engine capabilities including distributed metadata management, SQL engine, storage engine, vectorized execution, and time travel features.
• BendSQL Native command-line client for Databend providing SQL query execution, data loading and unloading, and database connectivity for developers and data engineers.
• Databend MCP Server Model Context Protocol server enabling AI assistants such as Claude, ChatGPT, Cursor, and Codex to interact with Databend databases using natural language for conversational BI and database operations.

Quantifiable outcome

• >50% cost savings compared to Snowflake Standard
• +4 more outcomes

Segments5 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration15 records

AI capability9 records

Feature10 records

Scale indicators8 records

Recent moves6 records

Expansion highlights6 records

Broad incumbents

• Amazon Redshift: Redshift is AWS's flagship cloud data warehouse with deep S3 and AWS-native integrations. As Databend lists on AWS Marketplace and natively supports S3 storage, Redshift is a broad incumbent competing for the same AWS-resident workloads.
• Databricks: Databricks offers a unified lakehouse platform combining data warehousing, data lake, ML, and AI workloads. It is the broader incumbent competing for the same unified-data-platform budget that Databend targets with its combined SQL + vector + AI engine.
• Google BigQuery: BigQuery is Google's serverless cloud data warehouse deeply integrated with the GCP ecosystem and AI services. It is a broad incumbent competing for the same analytical-workload budgets as Databend, particularly in multi-cloud native-storage scenarios.

Emerging players

• DuckDB: DuckDB is an open-source in-process analytical database popular for embedded and single-node analytical workloads. It represents an emerging alternative for certain use cases overlapping with Databend's analytical engine, particularly developer-facing and local scenarios.

Direct peers

• Snowflake: Snowflake is the dominant cloud data warehouse that Databend explicitly positions against, offering similar separation of storage and compute, SQL analytics, and a managed cloud delivery model. Databend's >50% cost-savings claim is benchmarked directly against Snowflake Standard.
• StarRocks: StarRocks is an open-source, real-time analytical database with a managed cloud offering, competing head-to-head with Databend on sub-second analytical workloads and vectorized execution performance.
• ClickHouse: ClickHouse is a high-performance, open-source columnar OLAP database with managed cloud offerings (ClickHouse Cloud). It directly competes with Databend on real-time analytical query performance and open-source-driven GTM.
• Firebolt: Firebolt is a cloud data warehouse purpose-built for sub-second analytics at scale, offering separation of storage and compute and consumption-based pricing. It is a direct managed-warehouse competitor to Databend Cloud with similar performance-led positioning.
• Apache Doris: Apache Doris is an open-source real-time analytical database widely deployed for OLAP workloads in China and increasingly globally. It competes with Databend on MPP columnar analytics, real-time ingestion, and unified SQL workloads.
• SingleStore: SingleStore is a distributed SQL database combining transactional and analytical workloads with vector support, directly comparable to Databend's unified SQL + vector engine positioning and managed cloud delivery model.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/DatabendLabs
• GitHubgithub.com/databendlabs/databend
• YouTubeyoutube.com/@DatabendLabs
• LinkedInlinkedin.com/company/databendlabs

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Databend