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CrateDB

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About CrateDB

CrateDB is a real-time analytics database software from CrateDB that handles any data type at massive scale with simple SQL. It combines high-volume data ingestion, instant querying, and support for high cardinality and dimensionality so organizations can perform real-time analytics effectively. CrateDB provides features like integrations, improved security, and operates smoothly across various editions including CrateDB Cloud, CrateDB Enterprise, and CrateDB OSS. This enables businesses to access analytics, search, and vectors within a resilient infrastructure. Key capabilities: high cardinality SQL syntax real-time analytics integration support built-in security easy to operate Best for: data-driven organizations that need effective real-time data analytics solutions.

CrateDB Details

Vendor
CrateDB
Year Launched
2013
Location
Redwood City, California
Deployment
cloud
Training Options
documentation, videos, demo, community
Countries Served
All Countries
Languages
English, German, French, Spanish
Users
Data Engineers, Data Scientists, DevOps Engineers, Backend Developers, AI/ML Engineers, IoT Engineers, Site Reliability Engineers (SREs), Business Intelligence Analysts, Software Architects, IT Infrastructure Managers
Industries Served
Internet of Things (IoT), Manufacturing, Telecommunications, Logistics and Transportation, Financial Services, Advertising Technology (Ad Tech), Cybersecurity, Health Tech, Smart Cities, Industrial Automation
Tags
Database, NoSQL, SQL, Distributed SQL Database, Real-time Analytics, IoT, Time Series Data, CrateDB

CrateDB's In-App Market Place

Does CrateDB have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NZD (NZ$), KRW (₩), SGD (S$), INR (₹), RUB (₽), HKD (HK$), NOK (kr), MXN (Mex$), ZAR (R), BRL (R$)

Pros & Cons

  • Real-time analytics: Handles massive streaming and historical datasets with millisecond query speeds.
  • Multi-model support: Combines time-series, vector, geospatial, full-text, and relational data in one system.
  • SQL-based simplicity: Uses familiar SQL syntax, making onboarding and integration with tools like Grafana and Tableau easy.
  • Scalable architecture: Distributed and fault-tolerant design supports petabyte-scale workloads and automatic failover.
  • AI-ready: Seamlessly integrates with AI/ML models and frameworks like LangChain.
  • PostgreSQL compatibility: Ensures smooth migration and third-party tool support.
  • Flexible deployment: Available as DBaaS, hybrid cloud, or self-managed—plus edge support.
  • Steep learning curve: Advanced features may require technical expertise to fully leverage.
  • Limited ORM support: Developers may need to write raw SQL queries.
  • Sparse documentation: Beginners may struggle due to lack of tutorials and practical examples.
  • UI limitations: Admin dashboard could benefit from usability improvements.
  • Young ecosystem: Still maturing, with fewer community resources compared to older platforms.

CrateDB's Support Options

Chatbot

Available

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