SingleStore

SingleStore is a distributed Structured Query Language (SQL) database platform (data management) designed to run transactional and analytical workloads on a unified engine across cloud and on-premises (on-prem) environments.

• Cloud-native relational database engine for both transactional and analytical workloads (data management).
• Distributed, scale-out architecture with in-memory rowstore and disk-based columnstore capabilities.
• Deployment options across public clouds, Kubernetes-based environments, and self-managed infrastructure.
• Compatibility with standard SQL and common data and analytics tooling for integration into existing stacks.
• Focus on real-time data processing, including support for streaming ingestion and low-latency queries.

More About SingleStore

SingleStore provides a distributed SQL database platform (data management) that targets use cases where organizations want to run transactional and analytical workloads on the same system. The platform is designed for enterprise environments that process high volumes of data with requirements for low-latency access, and it is used in scenarios such as real-time analytics, customer-facing applications, and data-intensive services.

The core architecture combines an in-memory rowstore with a disk-based columnstore, allowing users to store and query both operational and analytical data in one database. This design enables mixed workloads, with rowstore tables suited for high-throughput transactions and columnstore tables suited for large-scale analytic queries. The system uses a shared-nothing, distributed architecture in which data is partitioned across multiple nodes for horizontal scalability and fault tolerance.

SingleStore supports standard SQL, which enables integration with existing analytics, business intelligence, and data integration tools. It is compatible with common drivers and interfaces such as JDBC and ODBC, and it exposes capabilities for working with JSON and other semi-structured data within a relational schema. The platform also incorporates features for high availability, such as redundancy across nodes and clusters, and it supports replication and backup options intended for enterprise resilience requirements.

From a deployment perspective, SingleStore can run as a managed cloud service or as a self-managed database on public clouds, Kubernetes clusters, and on-prem infrastructure. This flexibility allows enterprises to align deployments with their cloud strategies, regulatory constraints, and operational preferences. The platform is often positioned as a consolidated data layer that can reduce the need for separate operational databases and data warehouses in certain architectures.

SingleStore includes capabilities for real-time data ingestion and streaming, enabling data from sources such as event streams, message queues, and Change Data Capture (CDC) systems to be ingested and queried with low latency. Compared with traditional data warehouse platforms or standalone transactional databases, SingleStore is designed to handle both types of workloads on a single system while maintaining SQL compatibility. In directory and marketplace taxonomies, SingleStore fits into categories such as distributed SQL databases, real-time analytics databases, and cloud-native data management platforms.