Unify your transactional and analytical data tiers

SingleStoreDB with IBM® is a modern structured query language (SQL) database for data-intensive workloads. The innovative SingleStore database simplifies your data architecture and delivers the ultra-fast speed and elastic scalability needed to create breakthrough experiences, driven by near ubiquitous connectivity that powers high-velocity, high-volume data workloads.

IBM and SingleStore have formed a partnership to offer you a single source of procurement, support, security and governance for SingleStoreDB. IBM acts as a clearinghouse, assisting you in deploying data-intensive applications at scale with SingleStore, ensuring the consistent handling of transactions and analytics with high-concurrency and low-latency.

SingleStoreDB supports all data types—structured, semi-structured and unstructured—across hybrid and multi-cloud environments, including on-premises deployment with IBM.

SingleStoreDB uses IBM watsonx.ai™ foundation models and traditional machine learning (ML) to build AI applications in a fraction of the time by using a fraction of the data.

Features

• **Fast ingestion and analytics: **Ingest millions of events per second with ACID transactions, analyze billions of rows of data and achieve improved message delivery for accurate streaming data reporting.
• **Operational analytics and dashboard acceleration: **Enable customer-facing, data-intensive apps, BI and analytical tools to achieve low-latency and rapid response times of 10 milliseconds or less.
• **ANSI SQL compatibility: **Start with familiar relational SQL and extend it to support JSON, geospatial and full-text search formats for easy integration with existing tools using dedicated ODBC and JDBC drivers. 
• **Limitless point-in-time recovery: **Enable users to go back in time and recover any lost data through configurable database logging, as SingleStoreDB serves as a governance and compliance records system.
• **Separation of compute and storage: **Scale your compute optimizing resources by achieving up to an 80% compression for storing petabytes of data.
• **Cloud-native databases for hybrid deployment: **Deploy the database on any infrastructure, including containers, VMs or bare metal, within a multi-tenant architecture.

Benefits

• **Ultra-fast insights: **Unify transactional and analytical workloads for a single-pane experience. Improve customer experiences and spot new opportunities with continuous monitoring and discovery.
• **Higher operational efficiency: **Consolidate multiple application sources and power a complete view for front-line users. Detect resource drains and duplications to streamline operations.
• **Improved productivity and visibility: **Extend your SQL skills and bring your teams together to drive productivity. Increase the visibility of data and analytical value-chains through the unification of data tiers.
• **Robust security, compliance and resiliency: **Rely on security certifications including ISO/IEC 27001, SOC 2 Type 2 and Privacy Shield. Comply with CCPA and GDPR as well as HIPAA.
• **Reduced costs and risks: **Save costs and mitigate risks by controlling database sprawl. Create a single table type to build storage with unlimited scale.
• **Improved agility: **Run your workload anywhere across any cloud including hybrid and on-premises deployment. Keep your data for ease of data access and processing.