SingleStore

SingleStore is a revolutionary real-time data platform engineered to power the most demanding enterprise AI and analytical applications. It stands out as a unified, distributed SQL database that eliminates the traditional complexity and latency of managing separate data systems. By seamlessly integrating transactional (OLTP) and analytical (OLAP) capabilities, SingleStore empowers organizations to act on insights in the moment, not after the fact. It is built for speed, scale, and simplicity, making it the ideal foundation for modern, intelligent applications.

At its core, SingleStore features a unique Universal Storage system, which combines the rapid point-read/write performance of a rowstore with the lightning-fast scan performance of a columnstore in a single table type. This architecture allows it to handle high-throughput transactions and complex analytical queries concurrently with single-digit millisecond response times. The platform is designed to ingest millions of events per second from sources like Kafka or S3, making fresh data immediately available for querying. This makes it a true real-time system, far surpassing near-real-time solutions that rely on batch processing.

How to use SingleStore

Getting started with SingleStore is designed to be straightforward for developers and data engineers. The typical workflow is as follows:

1. Choose a Deployment Model: Users can start with SingleStore Helios, the fully managed cloud database-as-a-service (DBaaS) available on AWS, GCP, and Azure. This option offers a free shared tier for development and testing. Alternatively, for on-premises or private cloud needs, a Self-Managed version is available.
2. Create a Workspace and Database: Within the cloud portal, you can easily create workspaces, which are compute clusters, and provision databases. Workspaces can be scaled up or down independently of storage, optimizing for cost and performance.
3. Ingest Data: SingleStore provides high-speed, parallel data ingestion through SingleStore Pipelines. You can stream data continuously from sources like Apache Kafka, Amazon S3, Azure Blob Storage, or bulk-load from files.
4. Query and Build: Connect to your database using standard SQL clients and drivers (JDBC, ODBC). SingleStore is MySQL wire-compatible, making migration from existing applications easier. Developers can leverage its multi-model capabilities to work with relational data, JSON, time-series, geospatial, and vectors all within the same database.
5. Develop with AI: For AI applications, you can store and search vector embeddings using built-in functions for both exact (K-NN) and approximate (HNSW, IVF) nearest neighbor search. This is crucial for building Retrieval-Augmented Generation (RAG) systems.
6. Collaborate and Deploy: Use integrated tools like Notebooks (supporting SQL and Python) to prototype, collaborate, and move from development to production seamlessly.

Core Features of SingleStore

• Real-Time Performance: Delivers single-digit millisecond query latency, even with high concurrency and massive datasets.
• Universal Storage: A unique single table type that combines an in-memory rowstore and an on-disk columnstore for optimal performance on both transactional and analytical workloads.
• Distributed SQL Architecture: A shared-nothing, horizontally scalable architecture that allows you to scale out compute and storage to handle virtually any workload.
• High-Speed Ingestion: Ingests millions of rows per second via SingleStore Pipelines, making data instantly available for queries.
• Multi-Model Database: Natively supports relational (SQL), JSON, time-series, geospatial, full-text search, and vector data in one engine.
• Vector Search for AI: Comprehensive vector database capabilities, including filtering and aggregation, to power semantic search, recommendation engines, and GenAI applications.
• SingleStore Kai™: A MongoDB®-compatible API that allows you to run MongoDB applications on SingleStore for up to 100x faster analytics without changing queries.
• Cloud-Native and Flexible Deployment: Available as a fully managed service (SingleStore Helios) on major clouds, or as self-managed software for on-premises and hybrid environments.

Use Cases for SingleStore

SingleStore's versatility and performance make it suitable for a wide range of demanding use cases:

• Generative AI & RAG: Serving as the high-performance backend for Retrieval-Augmented Generation, combining vector search with structured data to provide contextually aware and accurate responses from LLMs.
• Real-Time Analytics: Powering interactive dashboards and operational intelligence applications that require immediate insights from live data streams, such as in logistics, IoT, and financial services.
• Customer-Facing Applications: Building highly responsive, scalable applications for e-commerce, gaming, and SaaS platforms that serve millions of concurrent users without performance degradation.
• Database Modernization: Replacing complex and costly legacy database ecosystems (e.g., Oracle, Teradata) with a single, simplified platform to reduce Total Cost of Ownership (TCO) and improve performance.
• Data-Intensive SaaS: Providing the multi-tenant data layer for SaaS applications, offering both performance isolation and cost-effective resource sharing.

Advantages of SingleStore

The primary advantage of SingleStore is its ability to simplify data architecture while delivering unparalleled performance. By unifying diverse workloads, it eliminates data sprawl and the need to stitch together multiple specialized databases (e.g., one for transactions, one for analytics, one for vector search). This leads to a significant reduction in complexity, operational overhead, and TCO. Its speed and scalability empower businesses to innovate faster, build next-generation AI applications, and gain a competitive edge by leveraging true real-time data.

Pricing and Plans

SingleStore offers a flexible pricing model across its cloud and self-managed offerings.

• Helios (Cloud):
  • Managed Shared: A completely free tier for evaluation, development, and non-production testing. Includes all core SQL and programmability features.
  • Managed Standard: Starts at $0.99/hr. Designed for general-purpose production workloads. Includes a $600 free credit to get started, read-replicas, and a 99.9% or 99.99% SLA.
  • Managed Enterprise: Starts at $1.49/hr. For mission-critical workloads requiring enhanced security and disaster recovery features like Point-in-Time Recovery (PITR) and audit logging.
  • BYOC (Bring Your Own Cloud): Custom pricing for deploying the managed Helios service within your own VPC for maximum control.
• Self-Managed: For on-premises or private cloud deployments, with pricing available upon contacting sales.

Billing is usage-based, determined by compute (workspace size and hours of operation) and storage consumed.