Announcing SingleStoreDB as a Service with IBM

2 min read

IBM and SingleStore are excited to launch this fully managed, cloud-native database.

In December 2021, IBM and SingleStore announced SingleStoreDB with IBM. Now they are taking the next step in their strategic partnership to bring the world's fastest, most scalable data platform to power data-intensive applications with the launch of SingleStoreDB as a Service with IBM. SingleStoreDB as a Service with IBM is now available on AWS, Azure and the Microsoft Azure Marketplace.

SingleStoreDB as a Service with IBM is a fully managed, cloud-native database built with speed and scale to power data-intensive applications. SingleStoreDB combines the following:

  • Hybrid transactional/analytical processing (HTAP)
  • Ingest and query performance
  • Fully elastic compute
  • Unlimited storage
  • Scalability and resiliency

As a managed service, SingleStore removes the need for users to manage infrastructure, provision clusters, handle upgrades or troubleshoot failures. This greatly reduces operational expenses and accelerates organization agility, allowing enterprises to focus on customers rather than on managing their data infrastructure:

This greatly reduces operational expenses and accelerates organization agility, allowing enterprises to focus on customers rather than on managing their data infrastructure:

SingleStore makes real-time decision-making a reality

The market is demanding databases be able to store more data and access it with lower latency and higher throughput. This performance and data capacity requirement is often combined with a desire for flexible data access. These access patterns can range from low-latency, high-throughput writes for real-time data loading and deduplication to efficient batch loading and complex analytical queries over the same data.

Built on a modern, lock-free cloud-native architecture, SingleStore can process queries with extremely low latency, while scaling access to tens or hundreds of thousands of concurrent users. The ability to ingest millions of events per second with ACID transactions while running complex analytical queries on that data in real-time means that as workloads grow, SingleStore can easily scale up to meet demand without complex application rewrites or data migrations.

Common use cases for SingleStoreDB

  • Operation analytics: 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.
  • Dashboard acceleration: 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. 
  • Fraud and anomalies: 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.
  • IoT analytics: 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.

The IBM and SingleStore partnership: Better together

The IBM and SingleStore partnership promises to be a value add and win for the customer. IBM enhances the SingleStore experience through added service centralization, facilitated integrations, support and consultancy services and specialized warranty programs.

Start building your modern data architecture today!

For more information, you can visit our partnership page.

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