Amazon Aurora
MySQL- and PostgreSQL-compatible cloud relational database service offering high performance and high availability
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Distributed SQL database for real-time analytics at scale
CrateDB combines SQL simplicity with NoSQL scalability to ingest and analyze massive datasets in real-time across horizontally scalable, fault-tolerant clusters.
CrateDB is a distributed SQL database engineered to store and analyze massive amounts of data in real-time. It bridges the gap between traditional SQL databases and NoSQL systems, offering familiar standard SQL querying alongside the horizontal scalability and flexibility typically found in document-oriented databases.
Modest CrateDB clusters can ingest tens of thousands of records per second while supporting ad-hoc SQL queries through a blazing-fast distributed query execution engine that parallelizes workloads across the entire cluster. The database excels in containerized environments and scales horizontally using ephemeral virtual machines on Kubernetes, AWS, Azure, or hybrid cloud architectures with a shared-nothing design.
CrateDB supports dynamic table schemas and queryable objects for document-oriented workflows, alongside native capabilities for time-series data, real-time full-text search, and geospatial operations. Auto-partitioning, auto-sharding, auto-replication, and self-healing features minimize operational overhead. Access data via the PostgreSQL wire protocol or HTTP API, and extend functionality with user-defined functions. Whether deployed on personal computers, multi-region clouds, or edge networks, CrateDB delivers high availability and fault tolerance without shared state.
When teams consider CrateDB, these hosted platforms usually appear on the same shortlist.
MySQL- and PostgreSQL-compatible cloud relational database service offering high performance and high availability
Fully managed, petabyte-scale cloud data warehouse for analytics and reporting
Serverless time-series database for IoT, metrics, and operational telemetry
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
IoT Sensor Data Analytics
Ingest thousands of sensor readings per second and run real-time SQL queries for anomaly detection and trend analysis across distributed clusters.
Log Aggregation and Search
Centralize application logs with full-text search capabilities, enabling rapid troubleshooting and compliance reporting using standard SQL.
Geospatial Fleet Management
Store and query vehicle location data with native geospatial functions to optimize routing and monitor fleet performance in real-time.
Multi-Region E-Commerce Analytics
Deploy across hybrid cloud regions to analyze customer behavior and inventory trends with low-latency queries and automatic rebalancing.
Yes, CrateDB supports standard SQL and is accessible via the PostgreSQL wire protocol or an HTTP API, allowing use of familiar SQL clients and tools.
CrateDB uses a shared-nothing architecture with auto-sharding, auto-partitioning, and auto-replication, enabling seamless scaling across ephemeral virtual machines and container orchestration platforms like Kubernetes.
Yes, CrateDB has native support for time-series data, real-time full-text search, and geospatial data types with built-in search capabilities.
CrateDB can be deployed via Docker, Kubernetes, on-premises infrastructure, or cloud platforms like AWS and Azure. A fully managed CrateDB Cloud service is also available.
CrateDB offers dynamic table schemas and queryable objects for document-oriented workflows while maintaining relational SQL query capabilities, providing flexibility without sacrificing familiarity.
Project at a glance
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