
Ultra-Fast QueriesSingleStore
SingleStore delivers ultra-fast, real-time queries on operational data with millisecond response times.
Vendor
SingleStore
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Product details
Overview
SingleStore is a distributed SQL database designed to provide ultra-fast query performance on operational data. It enables real-time analytics without the need for complex ETL processes, offering a unified platform that handles both transactional and analytical workloads. With its patented Universal Storage engine, SingleStore delivers low-latency queries, high concurrency, and scalability, making it suitable for mission-critical applications across various industries.
Features and Capabilities
- Universal Storage Engine: Unifies transactional and analytical workloads in a single engine, eliminating the need for separate systems.
- Ultra-Fast Query Performance: Achieves millisecond response times on large datasets, enabling real-time analytics.
- High Concurrency: Supports thousands of concurrent users and queries, ensuring consistent performance under heavy load.
- Scalability: Built to scale horizontally, accommodating growing data volumes and workloads without performance bottlenecks.
- Real-Time Data Ingestion: Ingests millions of rows per second from various sources, including Kafka, S3, and HDFS.
- Lock-Free Data Structures: Utilizes memory-optimized, lock-free skip lists and hash tables for fast in-memory indexing.
- Code Generation: Employs an industrial compiler to produce highly efficient machine code for query execution.
- High Availability: Ensures data availability through sharding and automatic failover mechanisms.
- Cloud-Native Deployment: Supports deployment on major cloud platforms, including AWS, Azure, and GCP.
- Developer-Friendly Tools: Provides Jupyter notebooks, data integration services, and a compute service for running AI workloads.
- Simplified Data Pipelines: Reduces or eliminates the need for complex ETL tooling and data processing costs.
- Projections: Offers secondary sort and shard keys to optimize query performance on large datasets.
- Integrated Monitoring: Includes built-in monitoring tools for performance tracking and optimization.
- Security Features: Provides robust security measures, including encryption and access controls, to protect data.