Striim Delivers Real-Time Data Integration for Apache Kudu
PALO ALTO, Calif., April 4, 2018 — Striim, provider of an enterprise-grade platform for streaming integration with intelligence, announced today version 3.8.3 of the Striim product, offering important new streaming data integration and hybrid cloud capabilities. With continuous, real-time data ingestion and stream processing for Apache Kudu, Striim enables Kudu users to deliver real-time reporting and analytics while the data is still relevant and has operational value. The Striim platform also integrates directly with Azure HDInsight in support of modern, real-time hybrid cloud environments. Amazon Redshift users can now benefit from streaming data transformations and in-line column mapping across heterogeneous databases.
“As Apache Kudu gains great traction among enterprises for its ability to support fast, scalable data aggregation, reporting, and analytics, Striim helps Kudu users ingest wide range of enterprise data the moment it’s born,” stated Alok Pareek, Founder & EVP of Products at Striim. “We’ve also enhanced our hybrid cloud offerings to support streaming integration with Azure HDInsight and Amazon Redshift. With Striim’s ability to process and deliver data from multiple data sources in real time, users attain the full potential of their applications by working with up-to-the-second data via an enterprise-grade platform.”
Striim’s KuduWriter streams real-time data from databases (including Oracle, Microsoft SQL Server, HPE NonStop, MySQL) and files in different formats (such as CSV and JSON) to Apache Kudu version 1.4 and higher. Striim’s KuduWriter also offers data preparation for data in-motion – including filtering, transformation, enrichment, encryption, and masking – before delivering to Kudu.
A primary benefit of Apache Kudu is its ability to enable multiple, real-time analytics workloads in a single storage layer. With Striim, customers can complete their real-time reporting and analytics solution with an enterprise-grade streaming integration solution that delivers sub-second data from a wide range of data sources, in the format they need. Striim continuously ingests real-time data from enterprise databases (via non-intrusive change data capture), log files, messaging systems such as Apache Kafka, Hadoop and cloud environments. Before delivering the data to Kudu with sub-second latency, Striim processes, secures, and anonymizes the streaming data as-needed for different applications, allowing faster time-to-insight for Kudu users.
In version 3.8.3, the Striim platform also provides the ability to do in-line column mapping across heterogeneous databases like Amazon Redshift, making in-flight enrichment, masking, and encryption easier and faster. Striim’s easy-to-use, drag-and-drop UI increases developer productivity and accelerates integration development time.
Striim 3.8.3 also includes features that enable Striim to be published as an HDInsight application.
To learn more about Striim’s streaming integration solutions for Apache Kafka and Apache Kudu, Azure HDInsight, or Amazon Redshift, please request a demo, or download a free developer license of the Striim platform.
The Striim (pronounced “stream”) platform is an enterprise-grade streaming data integration and intelligence solution. The platform makes it easy to continuously ingest and process high volumes of streaming data – including non-intrusive change data capture – for real-time Kafka integration, log correlation, hybrid cloud, edge processing, and streaming analytics. Companies worldwide use the Striim platform to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, data modernization and centralization, and Internet of Things (IoT) analytics. Please visit www.striim.com, read our blog at www.striim.com/blog,