A fully managed SaaS solution that enables infinitely scalable unified data integration and streaming.
On-premise or in a self-managed cloud to ingest, process, and deliver real-time data.
Learn how Striim Cloud uses best-in-class security features for networking, encryption, and secret storage.
Deliver real-time data to AWS, for faster analysis and processing.
Quickly move data to Microsoft Azure and accelerate time-to-insight with Azure Synapse Analytics and Power BI.
Unify data on Google Cloud and power real-time data analytics in BigQuery.
Flexible Models for Every Business.
Striim can connect hundreds of source and target combinations. View a complete list.
A podcast covering latest news and trends in data. cloud and analytics
Join us for an in-person, virtual, or on-demand event
Stay up to date on new product updates & join the discussion
Let Striim’s services and support experts bring your Data Products to life
Join us and discover self-directed learning courses tailored to your needs
Learn all about Striim, our heritage, leaders and investors
Looking to work for Striim? Find all the available job options
See how our customers are implementing our solutions
Find out more about Striim's partner network
Find all the latest news about Striim
Connect with the experts at Striim
We at Striim are looking forward to seeing everyone next week at Strata Data Conference in NY! Stop by booth #1107 for ongoing presentations by Striim
In this post, we take a look at change data capture (CDC) as a solution for the cache consistency problem. As a visual aid, included
What is hybrid cloud? What are the data considerations? And why is streaming integration an essential part of this modern data architecture? Gartner defines a
In this post, we will discuss how to enable real-time data warehousing for modern analytics through streaming integration with Striim to Azure SQL Data Warehouse.
In this blog post, we’re going to tackle the basics behind what streaming integration is, and why it’s critical for enterprises looking to
Continuing on from Part 1 of this two-part blog series on operationalizing machine learning through streaming integration, I will now discuss how you can use
I recently gave a presentation on operationalizing machine learning entitled, “Fast-Track Machine Learning Operationalization Through Streaming Integration,” at Intel AI Devcon 2018 in San Francisco.
Today, let’s take a look at the Change Data Capture to HBase use case with the Striim platform. What would motivate something like this? People
Striim offers several capabilities that go beyond real-time ingestion, delivering an enterprise-grade real-time integration solution that includes SQL-based stream processing and analytics capabilities – reliability
Additional new Striim features focus on the ease of use and extensibility of the platform. Continuing from our discussion in Part 1, please read on
The Striim team has been busy! With a focus on cloud integration and extensibility of the Striim platform, we have delivered two new releases in
We are excited to announce that Striim will be exhibiting at the Google Next San Francisco at the Moscone Center from July 24-26, 2018! Please
