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SingleStore

The distributed database designed for low-latency SQL, powering data + AI Apps at scale.

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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

Distributed SQL architecture
Unified engine for transactions, analytics, and search
Multi-model data support (vectors, full-text, JSON, time-series, geospatial)
Real-time RAG (Retrieval Augmented Generation)
Horizontal scalability
Low-latency query response
Fast data ingestion with SingleStore Pipelines
MySQL and MongoDB wire-protocol compatibility
AI and ML functions in SQL
Vector search capabilities (K-NN and ANN)
Jupyter notebooks for collaboration
Data integration services
Compute service for AI workloads
High availability and disaster recovery
Security and compliance certifications (ISO/IEC 27001, SOC 2 Type 2, GDPR, HIPAA)

Pricing

usage based

Shared

Free
  • Shared Workspace
  • All SQL and Programmability features
  • Monitoring
  • Self-support
  • For evaluation, development and non-production testing

Standard

$0.99/hour
  • 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

Contact sales
  • 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

Denodo Collibra Datadog Terraform Dataloop Alteryx Designer Cognos Analytics Dremio GoldenGate GoodData Looker MicroStrategy Power BI Sisense Tableau Tibco Spotfire Zoho Analytics Vercel Apache Beam Apache Flink Apache Spark AWS Glue Azure Data Factory

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