CrateDB

Serves as a single platform for analytics, search, and AI.

Processes data from ingestion to actionable insights in real-time.

Provides immediate access to data for rapid decision-making.

Runs ad-hoc queries on billions of records in milliseconds using columnar storage.

Enables full-text, geospatial, vector similarity, and combined searches via a distributed SQL query engine built on Apache Lucene.

Allows effortless integration of AI models for storing, searching, and querying vectors, supporting real-time training and predictions.

Automatically adapts to evolving data types and schema changes with dynamic optimization of indexing.

Manages massive data volumes (millions to petabytes) with high-speed performance and a fault-tolerant, distributed architecture.

Offers native SQL for simple queries and quick onboarding.

Analyzes relational, JSON, time-series, geospatial, full-text, and vector data within a single system.

Ensures easy integration with third-party tools like Grafana and Tableau.

Seamlessly integrates with AI/ML tools and LangChain, offering flexibility in choosing LLMs and embedding algorithms.

Provides freedom from vendor lock-in and support from a growing developer community.

Handles complex analytics on rapidly increasing time-series datasets.

Efficiently stores and queries JSON data.

Manages and queries vector embeddings.

Handles full-text search capabilities.

Supports geospatial data and queries.

Offers a cost-efficient, robust, and scalable architecture.

Reduces overhead by removing the need to combine and synchronize different databases.

Ensures data safety and accessibility with automatic failover, recovery, and replication.

Detects failures and maintains cluster health in distributed environments.

Offers DBaaS (Database-as-a-Service), hybrid cloud, and self-managed options.

Supports deployment in environments with limited connectivity.

Seamlessly scales from single-laptop prototypes to dozens of servers with terabytes of data.

Distributes queries across the whole cluster for efficient execution.

The database evolves continuously to enhance AI-driven workflows.

Distributes queries automatically across the cluster.

Allows adding nodes to scale the system easily.

Fully managed service operated by CrateDB engineers, deployable on AWS, Azure, or Google Cloud.

Designed for cloud environments.

Includes SQL Scheduler, table policies, and logging.

Provides a web-based interface for queries.

Connectors for on-demand or real-time data ingestion.

Programmatically creates and manages deployments.

Ensures data safety with automated backups.

Adheres to security compliance standards on Azure and AWS.

Encrypts data for security.

Manages user permissions.

Logs user activity for accountability.

Adheres to information security management standards.

Offers Standard or Premium support plans with contractual SLAs.

Provides personalized assistance for critical workloads.