SingleStore
The distributed database designed for low-latency SQL, powering data + AI Apps at scale.
SingleStore is a data & databases tool built by SingleStore, Inc.. It's best for Enterprises needing real-time data processing and analytics and Organizations building AI-powered applications. Pricing is usage based. Main alternatives include Ptengine, Databricks, Pirsch.
Pricing
usage based
Audience
Enterprises needing real-time data processing and analytics
Platforms
Community
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About SingleStore
SingleStore is a distributed SQL database designed for real-time insights, smart applications, and AI experiences. It combines transactional and analytical processing with multi-model data support, offering a unified engine for diverse workloads.
SingleStore is a modern, distributed SQL database designed to power data and AI applications at scale. It converges transactional (OLTP) and analytical (OLAP) processing, along with multi-model data support (vectors, full-text, JSON, time-series, geospatial), into a single, unified engine. This architecture eliminates the need for complex data pipelines and enables real-time analytics and low-latency query responses, even for complex queries.
Key features include horizontal scalability, allowing users to handle high concurrency and petabyte-scale datasets, and fast data ingestion through SingleStore Pipelines. The platform supports both SQL and NoSQL paradigms, offering MySQL and MongoDB wire-protocol compatibility. SingleStore also provides AI and ML functions directly in SQL, including vector search capabilities, making it suitable for real-time RAG (Retrieval Augmented Generation) applications.
SingleStore Helios is the cloud database-as-a-service offering, providing elastic scalability, high availability, and price-performance. It separates storage and compute, includes Jupyter notebooks, data integration services, and a compute service for running AI workloads. SingleStore can be deployed on AWS, Azure, or GCP.
SingleStore is targeted towards developers, ML engineers, and data engineers building demanding, real-time applications. It is used by leading teams in industries such as marketing, media, manufacturing, retail, finance, technology, and healthcare to power real-time insights, smart applications, and AI experiences.
Key Features
Pricing
usage basedShared
- Shared Workspace
- All SQL and Programmability features
- Monitoring
- Self-support
- For evaluation, development and non-production testing
Standard
- Read-replicas
- All SQL and Programmability features
- Database Branching
- Monitoring (30-day)
- 99.9% SLA (1 AZ) or 99.99% SLA (2 AZ)
- Standard Support
- For general-purpose production workloads
Enterprise
- Everything in Standard
- Online PITR
- Smart DR
- Audit Logging
- CMEK
- 99.9% SLA (1 AZ) or 99.99% SLA (2 AZ)
- Enhanced DR & security for customer-facing workloads
Who is it for?
Best for
- Real-time analytics applications
- AI-powered applications requiring vector search
- High-concurrency applications
- Workloads requiring both transactional and analytical processing
- Applications needing low-latency query responses
Not ideal for
- Simple applications with low data volume and concurrency
- Applications that do not require real-time analytics
- Projects with limited budget that can be served by simpler database solutions
Integrations
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