intersystems introduces new cloud-native data services

InterSystems IRIS® Cloud SQL and InterSystems IRIS® Cloud IntegratedML® fully managed services make it fast and easy for application developers to build real-time data-intensive applications with SQL and embedded machine learning models.

InterSystems, a creative data technology provider dedicated to helping customers solve their most critical scalability, interoperability, and speed problems, today announced general availability of the InterSystems IRIS® Cloud SQL and InterSystems IRIS® Cloud IntegratedML® services. These fully managed cloud-native smart data services empower developers to build cloud-native databases and machine learning (ML) applications in SQL environments with ease.

With Cloud SQL and Cloud IntegratedML, developers can access a next-generation relational database-as-a-service (DBaaS) that is fast and easy to provision and use. Embedded AutoML capabilities allow developers to easily develop and execute machine learning models with just a few SQL-like commands in a fully managed, elastic, cloud-native environment.

As part of the InterSystems Cloud portfolio of smart data services, Cloud SQL and Cloud IntegratedML provide application developers with access to InterSystems proven enterprise-class capabilities as self-service, fully managed offerings on Amazon Web Services (AWS) while providing a fast and seamless on-ramp to the full suite of capabilities in InterSystems IRIS® data platform.

InterSystems IRIS is a next-generation data platform designed for organisations implementing smart data fabrics that provide powerful database management, integration, and application development capabilities. By consolidating these capabilities into a single product, InterSystems IRIS accelerates the time it takes to realise value from data, simplifies overall system architectures, and reduces both maintenance effort and costs.

We are excited for the capabilities of InterSystems IRIS to be exposed through these new, easy-to-deploy and easy-to-use services, said Scott Gnau, Global Head of Data Platforms at InterSystems. With native support for AutoML, we give developers the power to build comprehensive, predictive, and prescriptive applications.

Cloud SQL makes it easy for application developers to leverage advanced relational database capabilities as a fully managed, secure, scalable, high-performance, highly available cloud-native database-as-a-service (DBaaS).

• Extremely high performance, especially for ingesting and processing incoming data and performing SQL queries on the data with low latency at scale.
• Fast and easy to provision and use.
• Ability to easily connect client applications via JDBC, ODBC, DB-API, and ADO.NET drivers.
• Automated security, data encryption, and backups

Automation of machine learning tasks with InterSystems IRIS Cloud IntegratedML

Available as an additional cloud managed service for InterSystems IRIS Cloud SQL customers, Cloud IntegratedML extends the capabilities of Cloud SQL to enable SQL developers to quickly build, tune, and execute machine learning models with just a few SQL-like commands, without moving or copying data to a different environment. A significant advantage of Cloud IntegratedML is the elimination of the need to transfer or replicate data to an external platform to build ML models, or to move ML models to a different environment for execution.

Automation of machine learning processes and resource-intensive tasks such as feature engineering, model development, and fine-tuning.

Seamless integration of models developed and trained with Cloud IntegratedML within Cloud SQL, facilitating real-time predictive insights and prescriptive actions in response to events and transactions.

This comprehensive suite of smart data services establishes the InterSystems Cloud portfolio of smart data services as an optimal choice for SQL developers seeking a robust, high-performance database solution tailored to their needs. The new Cloud SQL and Cloud IntegratedML services are available through InterSystems Developer Hub.