June 14, 2021 By James Bennett 2 min read

IBM Cloud now supports the real-time streaming of your data from IBM Event Streams to IBM Cloud Object Storage. 

We call this capability Stream Landing. Configurable with just a few clicks, you can now stream your data in real-time from a topic to a bucket of your choice. As our clients build their next-generation platforms and event-driven architectures, taking advantage of real-time data feeds from a variety of sources is increasingly crucial to their success. Archiving these real-time feeds into IBM Cloud Object Storage is a great way to extract more value as you build intelligent applications that require a larger history of events. Previously, this was a self-managed capability with an open-source Kafka Connector provided by IBM, but it is now enhanced as a fully managed offering.

IBM Cloud SQL Query is our key component in the Stream Landing approach. It is the service that connects to IBM Event Streams and copies the data to Cloud Object Storage. SQL Query is built from the ground up to work with data in object storage and, as such, our Stream Landing capability benefits from all our work to ensure that your data is laid out in Parquet format, with the right hive-style partitioning to enable efficient analytics on the new objects created.

With a simple capacity metric, you are charged by the hour for each Stream Landing job, enabling you to stream a single topic to a single bucket and then scale up as your workload increases.

Get started

Today, we’re making Stream Landing generally available in the us-south Cloud region. Throughout the next weeks, we’ll add this capability to all regions of SQL Query.

For more information on building your event driven and data lake architecture, see the following:

Get started streaming your data today.

More from Analytics

IBM acquires StreamSets, a leading real-time data integration company

3 min read - We are thrilled to announce that IBM has acquired StreamSets, a real-time data integration company specializing in streaming structured, unstructured and semistructured data across hybrid multicloud environments. Acquired from Software AG along with webMethods, this strategic acquisition expands IBM's already robust data integration capabilities, helping to solidify our position as a leader in the data integration market and enhancing IBM Data Fabric’s delivery of secure, high-quality data for artificial intelligence (AI).  According to a Forrester study conducted on behalf of…

Fine-tune your data lineage tracking with descriptive lineage

4 min read - Data lineage is the discipline of understanding how data flows through your organization: where it comes from, where it goes, and what happens to it along the way. Often used in support of regulatory compliance, data governance and technical impact analysis, data lineage answers these questions and more.  Whenever anyone talks about data lineage and how to achieve it, the spotlight tends to shine on automation. This is expected, as automating the process of calculating and establishing lineage is crucial to…

Reimagine data sharing with IBM Data Product Hub

3 min read - We are excited to announce the launch of IBM® Data Product Hub, a modern data sharing solution designed to accelerate data-driven outcomes across your organization. Today, we're making this product generally available to our clients across the world, following its announcement at the IBM Think conference in May 2024. Data sharing has become the lifeblood of modern organizations, fueling growth and driving innovation. But traditional approaches to data sharing can often be a bottleneck constricting the seamless sharing of data.…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters