SingleStoreDB with IBM
Simplify and unify your data tiers with a fast, distributed cloud SQL database
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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™ foundation models and traditional machine learning (ML) to build AI applications in a fraction of the time by using a fraction of the data.


SingleStoreDB as a service with IBM

SingleStoreDB as a service with IBM is now available on AWS, Azure and the Microsoft Azure Marketplace.


Read the SingleStore documentation


Explore the top 3 benefits of SingleStore with IBM

Read the solution brief
Simplify and unify your data tiers with a blazingly fast SQL database.
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.

A blazingly fast database for AI applications

Enterprises can now elevate AI capabilities through the integration between IBM and SingleStore. 

While IBM brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI lifecycle, SingleStoreDB offers a powerful vector database that enhances the performance of any AI app with fast ingestion, milli second response times and the ability to join data across applications to address the real-time decision-making needs of business.

Capabilities 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.

Use cases

SingleStoreDB, with fast vectors and exact neighbor matching, is your solution when RAG solutions are needed for these domains:

  • Customer-facing functions and experiences
  • HR, finance and supply chain functions
  • IT development and operations
  • Core business operations

SingleStoreDB helps you deliver fast, scalable reporting and analytics across your operational data including streaming, real-time and historical data. With SingleStoreDB, you can meet the toughest service-level agreements using distributed, lock-free ingestion and real-time query processing.

SingleStoreDB delivers fast data ingestion and improved query performance for every data workload. Whether you are looking to speed up existing dashboards or build new data applications and analytics, SingleStoreDB 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 SingleStoreDB, you can continually monitor and detect fraud and anomalies.

As always-on devices and sensors continue to multiply, they must immediately ingest and make their data actionable and a real-time database powers the infrastructure behind each IoT application. SingleStoreDB facilitates fast ingestion and concurrent analytics for sensor systems, providing instant and actionable insights.

Resources RAG with SingleStoreDB and watsonx

This notebook shows you how to apply RAG (Retrieval-augmented generation) to LLM (Large Language Models), with watsonx and using the SingleStore database.

Building generative AI apps with SingleStore and IBM

Generative AI is the hottest topic in technology today, but how do you actually build an enterprise-ready application? SingleStore, in partnership with IBM, can teach you in just half a day.

Integrate a SingleStore with a Python ML model

Connect a custom ML model to a SingleStore.

Learn how SingleStoreDB works

Read how SingleStoreDB handles transactions and real-time analytics.

Get answers, solve problems

Answer user questions, provide technical service bulletins and share your knowledge in this trusted IBM community.

Learn more about SingleStoreDB with IBM

Get more details about this fast, modern database built to unify transactional and analytical workloads.

Detect anomalies

Create SingleStore secure Kafka pipelines for IBM Event Streams, a ML model and a IBM Cognos® dashboard.

Related products IBM

Train, validate, tune and deploy generative AI foundation and ML models with ease on our next-generation enterprise studio.


Optimize the industry’s only open data store for all governed data, analytics and AI workloads across the hybrid-cloud.

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Take the next step

Let’s go further together. Get started with joining community or book a meeting with an IBM representative to discuss your questions about SingleStoreDB with IBM.  

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