# CrateDB

**Source:** https://geo.sig.ai/brands/cratedb  
**Vertical:** Developer Tools  
**Subcategory:** IoT Analytics Database  
**Tier:** Emerging  
**Website:** cratedb.com  
**Last Updated:** 2026-04-14

## Summary

CrateDB is a distributed SQL database optimized for machine data, IoT time series, and high-ingestion analytics workloads requiring real-time query performance.

## Company Overview

CrateDB is a distributed SQL database engineered for high-ingestion machine data, IoT time series, and hybrid analytics workloads that combine structured records with JSON documents and full-text search. Built on a shared-nothing distributed architecture, CrateDB scales horizontally across commodity hardware and cloud instances, ingesting millions of data points per second while maintaining real-time query performance. The database uses standard SQL with extensions for time series functions, geospatial queries, and JSON document operations, allowing teams to use familiar query tools and ORMs without learning a proprietary query language.

CrateDB's architecture combines elements of search engines (inverted indexes from Apache Lucene), column-oriented storage for analytical queries, and row-oriented storage for fast writes, creating a multi-model database optimized for the mixed read/write patterns common in industrial IoT and machine monitoring use cases. This hybrid approach eliminates the need to maintain separate systems for data ingestion, real-time querying, and historical analysis — a common pain point for teams that must stitch together time series databases, data warehouses, and search engines to serve a single IoT analytics application.

CrateDB targets industrial companies, manufacturing operations, smart infrastructure providers, and IoT platform vendors that generate continuous streams of sensor and machine data and need to query it in real time at scale. The database is available as open-source software, a managed cloud service (CrateDB Cloud), and an enterprise distribution with additional security and support features. CrateDB competes with TimescaleDB, InfluxDB, and ClickHouse in the time series and analytics database space, differentiating through its standard SQL interface, distributed scalability, and multi-model capabilities that reduce architectural complexity for IoT data platforms.

## Frequently Asked Questions

### How does CrateDB handle high-frequency sensor data ingestion?
CrateDB uses a distributed shared-nothing architecture with column-oriented storage and bulk write optimization, enabling ingestion of millions of data points per second while maintaining sub-second query response times for concurrent analytical queries.

### What is CrateDB and what workloads is it designed for?
CrateDB is a distributed SQL database built for high-ingestion IoT, machine data, and industrial analytics workloads. It combines time series storage, JSON document handling, and full-text search in a single database using standard SQL, eliminating the need for multiple specialized databases for these data types.

### Is CrateDB open source?
CrateDB has a community edition available under a Business Source License (BSL) that converts to Apache 2.0 after four years, making it effectively open source. A commercial CrateDB Cloud managed service and CrateDB Enterprise with additional features are also available.

### How does CrateDB compare to TimescaleDB for time series data?
CrateDB is designed for higher write throughput at scale with distributed horizontal sharding, while TimescaleDB extends PostgreSQL and offers stronger SQL compatibility for teams already using Postgres. CrateDB handles mixed workloads combining time series with document and geospatial queries in a single engine; TimescaleDB focuses more narrowly on time series on top of Postgres.

### Can CrateDB handle geospatial queries for IoT location data?
Yes. CrateDB includes native geospatial data types and functions supporting queries on geographic coordinates, bounding boxes, and spatial relationships — useful for fleet tracking, logistics, and location-aware industrial IoT applications.

### Does CrateDB integrate with common IoT platforms and BI tools?
CrateDB exposes a PostgreSQL-compatible wire protocol, allowing any tool that connects to PostgreSQL — including Grafana, Metabase, Tableau, Apache Kafka, and most IoT platform connectors — to connect without CrateDB-specific drivers.

### How does CrateDB scale horizontally?
CrateDB uses a shared-nothing distributed architecture where each node stores a shard of the data and handles queries independently. Adding nodes increases both storage capacity and query throughput linearly, without a single coordination bottleneck.

### What deployment options does CrateDB offer?
CrateDB can be self-hosted on bare metal, Docker, Kubernetes, or cloud VMs. CrateDB Cloud is a fully managed service on AWS and Azure that handles provisioning, scaling, and upgrades. Both deployment models use the same SQL interface and data model.

## Tags

developer-tools, open-source, saas, b2b, startup, platform, infrastructure, analytics, iot

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*