Use cases
Real-Time
Enterprise AI
Build and deploy AI apps on a single, unified platform
Bringing real-time to innovative teams
.svg?width=100&disable=upscale&auto=webp)
No ETL, no complex data pipelines – combine transactions, analytics, and vector search on a single, unified platform.
Get unlimited scalability and real-time, low-latency access to shared data with separation of storage and compute.
One unified platform to power your whole workload
Incredible speed on huge amounts of data
Unified vector and full-text search
Build smarter applications like recommendation engines and sentiment analysis without complex systems or third-party providers.
Get unparalleled ingest and search performance, build real-time AI applications. Vector embeddings inserted to SingleStore become immediately searchable.
Get real-time insights on operational data with SingleStore’s uniquely performant database engine.
SingleStore’s engine brings millisecond response times on billions of rows of data, bringing astounding speed and instant insights to your customers.
Integrate directly with a wide range of data sources and connectors, get easy ingestion/ETL/CDC capabilities from diverse data systems and formats including Kafka, HDFS and cloud storage (Amazon S3).
Rest easy knowing that your mission-critical AI workloads are powered by SingleStore.
Keep your data secure with our comprehensive internal privacy compliance framework and industry-leading security certifications including ISO 27001, SOC 2 Type 2.
Get ultimate peace-of-mind with SingleStore’s high availability by default, keeping your most critical workloads online.
We’re built for scale. Some of the largest companies in the world power their mission-critical applications using SingleStore.
Agentic workflows
Autonomous software that senses, reasons and acts needs instant access to both structured data and unstructured knowledge. SingleStore embeds vector search alongside real-time tables so your agents can retrieve context and make decisions in milliseconds using popular agent frameworks.
.png?width=1024&disable=upscale&auto=webp)
.png?width=1024&disable=upscale&auto=webp)
Performance + scalability
Handle millions of transactions and analytics queries per second on a single platform, with on-demand scale out and zero downtime rebalancing.
Real-time vector search
Run sub-second similarity queries across billions of embeddings to power recommendations, semantic search, and retrieval applications.
Notebook-first development
Launch a hosted Jupyter environment preconfigured to your data so data scientists can explore, prototype and iterate in minutes.
Unified data + AI workloads
Keep relational data, time series and embeddings together in one AI database to eliminate ETL delays and simplify your architecture.
Automated API endpoints
Generate REST or GraphQL interfaces for any query or model inference with a click, removing the need for custom service layers.
Enterprise-grade security
Enforce role-based access control, TLS encryption and auditing across all your data and AI services to meet compliance requirements.
Hardware acceleration
Get fast, efficient similarity matching with built-in parallelization and Intel Single Instruction Multiple Data (SIMD)-based vector processing.
Rowstore + columnstore
SingleStore's Universal Storage brings together the fast table scan performance of a columnstore and the selective seek performance of rowstore.
Separation of storage and compute
Scale storage + compute independently while maintaining real-time access to shared data with SingleStore Workspaces
Samira Golsefid, Ph.D.
VP of Data Science, 6sense
.svg?width=100&disable=upscale&auto=webp){kind=small}
Building AI solutions is a journey. If you have to worry about all the mechanics it can be very difficult; but if you have a capable partner like SingleStore you can focus on your goals instead of data logistics. This is a long-standing relationship that has helped us reduce our computation costs and increase our performance 5x. It is less customer-provider and actually a PARTNERSHIP.
Case Study
GE Supports 40,000+ Concurrent Users and Reduces Cost 40X
Case Study
Armis Saves 70% of Data Pipeline Cost with SingleStore and AWS, Grows Valuation to $3.4B
Case Study
Arcules Optimizes Video Surveillance and Analytics to Scale Globally
Case Study
Siemens is Driving Sentiment Analysis Using Vector Capabilities on SingleStore
Case Study
DirectlyApply uses SingleStore Vector Search to Match Candidates to Job Roles
Start building today
Your intelligent apps are about to get even better