SingleStoreDB with IBM is a modern SQL database for data-intensive workloads. With near ubiquitous connectivity driving high-velocity, high-volume data workloads, SingleStore’s innovative database enables you to simplify your data architecture while delivering the ultra-fast speed and elastic scalability needed to create breakthrough experiences.
IBM has partnered with SingleStore to provide you with a single source of procurement, support, security, and governance for SingleStoreDB. IBM serves as a clearinghouse to help you deploy data-intensive applications at scale with SingleStore, to consistently handle transactions and analytics at high concurrency and low latency.
SingleStoreDB supports all data types — structured, semi-structured, unstructured — across hybrid multicloud environments including on-premises deployment with IBM.
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Unify transactional and analytical workloads for a single-pane experience. Improve customer experiences and spot new opportunities with continuous monitoring and discovery.
Consolidate multiple application sources and power a complete view for front-line users. Detect resource drains and duplications to streamline operations.
Extend your SQL skills and bring your teams together to drive productivity. Increase visibility of data and analytical value-chains through unification of data tiers.
Rely on security certifications including ISO/IEC 27001, SOC 2 Type 2 and Privacy Shield. Comply with CCPA and GDPR as well as HIPAA.
Save costs and mitigate risks by controlling database sprawl. Create a single table type to build storage with unlimited scale.
Run your workload anywhere across any cloud including hybrid and on-premises deployment. Keep your data for ease of data access and processing.
Ingest millions of events per second with ACID transactions while analyzing billions of rows of data. Achieve guaranteed message delivery of streaming data for accurate reporting.
Enable low latency, low response times of 10 milliseconds or less for customer-facing, data-intensive apps, and BI and analytics tools.
Start with familiar relational SQL and extend to JSON, geospatial, and full-text search formats for ease of connection with existing tools dedicated ODBC and JDBC drivers.
Serves as a system of records for governance and compliance. Go back in time to any specific point and restore any data lost with configurable database logging.
Scale your compute independent of storage. Optimize resources with compression up to 80% for storing petabytes of data.
Deploy the database on any infrastructure with containers, VMs, or bare metal on a multi-tenant architecture.
SingleStore helps you deliver fast, scalable reporting and analytics across your operational data — including streaming, real-time, and historical data. With SingleStore you can meet the toughest service-level agreements using distributed, lock-free ingestion and real-time query processing.
SingleStore delivers fast data ingestion and extreme query performance for every data workload. Whether you are looking to speed up existing dashboards, or build new data applications and analytics, SingleStore provides the performance and scale for high concurrent-user access.
Most organizations are struggling to keep up with the influx of data or to access it when it matters. Ingesting and analyzing machine, sensor or application data delivers more value in real time. With SingleStore, you can continually monitor and detect fraud and anomalies.
As always-on devices and sensors proliferate, their data must be immediately ingested and actionable — and the infrastructure behind each IoT app is powered by a real-time database. SingleStore supports fast ingest and concurrent analytics for sensor systems, delivering instant and actionable insights.
Use SingleStore to employ Kafka pipelines for IBM Event Streams, a machine learning model, and a Cognos® dashboard.
Connect a custom machine learning model to a SingleStore.
Read how SingleStoreDB handles transactions and real-time analytics.
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Get more details about this fast, modern database built to unify transactional and analytical workloads. (913 KB)
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