Despite decades of progress in database systems, builders have compromised on at least one of the following: speed, reliability, or ease. They have two options: one, they could get a document database that is fast and easy, but can’t be relied on for mission-critical transactional applications. Or two, they could rely on a cloud data warehouse that is easy to set up, but only allows lagging analytics.

Even then, each solution lacks something, forcing builders to deploy other databases for everything from text search and log analytics, to caching and location data. The result?  More systems equals more costs, complexity, and data integration.

With SingleStoreDB, customers don’t need to compromise.

Our latest innovations underscore our focus on outcomes that matter to customers including speed, reliability, and ease.

New in SingleStoreDB with IBM 8.0:

The capability to search Universal Storage column stores is now supported for JSON. Your teams can achieve better throughput and response times when trying to find JSON data in a column. This significantly accelerates SingleStoreDB analytics for semistructured data, bolstering SingleStore’s existing multimodel capabilities beyond structured (relational, geospatial, and time series) and unstructured data (text).

Distributed SQL delivers improved performance for string encoded transactions:

  • Recursive Common Table Expressions (CTEs) are added. Recursive CTEs enable a CTE to reference itself, which makes writing queries on hierarchical data simpler and reduces round trips between the application and database. Users can run graph data and tree expansions with a single SQL statement.
  • C, C++, and Rust development is improved. WebAssembly (Wasm) enables developers to move application logic close to the data by using SQL. It helps them avoid loading huge data sets into the application and makes it easier to port code libraries or routines (in C, C++, or Rust) into SingleStoreDB. Developers can focus on application logic instead of writing query logic in the application tier. SingleStoreDB 8.0 expands support for Wasm in both cloud and self-managed deployments, broadening availability of this key feature.
  • Python and Laravel development is improved. Python and Laravel are among the most popular tools used by developers to build modern, near real-time applications. The new Python client is faster than PyMySQL and MySQLdb. The SingleStoreDB Laravel driver plug-in helps web developers accelerate PHP development with Laravel at hyperscale.

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 read our solution brief


More from Announcements

IBM TechXchange underscores the importance of AI skilling and partner innovation

3 min read - Generative AI and large language models are poised to impact how we all access and use information. But as organizations race to adopt these new technologies for business, it requires a global ecosystem of partners with industry expertise to identify the right enterprise use-cases for AI and the technical skills to implement the technology. During TechXchange, IBM's premier technical learning event in Las Vegas last week, IBM Partner Plus members including our Strategic Partners, resellers, software vendors, distributors and service…

Introducing Inspiring Voices, a podcast exploring the impactful journeys of great leaders

< 1 min read - Learning about other people's careers, life challenges, and successes is a true source of inspiration that can impact our own ambitions as well as life and business choices in great ways. Brought to you by the Executive Search and Integration team at IBM, the Inspiring Voices podcast will showcase great leaders, taking you inside their personal stories about life, career choices and how to make an impact. In this first episode, host David Jones, Executive Search Lead at IBM, brings…

IBM watsonx Assistant and NICE CXone combine capabilities for a new chapter in CCaaS

5 min read - In an age of instant everything, ensuring a positive customer experience has become a top priority for enterprises. When one third of customers (32%) say they will walk away from a brand they love after just one bad experience (source: PWC), organizations are now applying massive investments to this experience, particularly with their live agents and contact centers.  For many enterprises, that investment includes modernizing their call centers by moving to cloud-based Contact Center as a Service (CCaaS) platforms. CCaaS solutions…

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS

5 min read - The AI revolution is here, but so are the multitude of data challenges that organizations now face to effectively make AI work for them. When it comes to scaling new workloads, traditional cloud data warehouses have left customers with over-provisioning, vendor lock-in, and are limited in their ability to optimize both high performance analytics and AI workloads. Businesses today have a choice: either they self-disrupt or get disrupted by newer and more agile business models. These models have successfully operationalized…