Striim 3.6 Enables Streaming Hybrid Cloud Integration; Native Integration with Apache Kafka
Also Introduces Salesforce Integration, Smart Edge Processing for IoT, and UI Wizards for Rapid Data Flow Generation
PALO ALTO, CA, July 12, 2016 – Striim, Inc., today announced that it has launched version 3.6.1 of its end-to-end streaming integration + intelligence platform. This mega release delivers significant advances in streaming data integration, with a focus on enterprise-grade deployments and enhanced ease of use.
Highlights of the release include Amazon™ Cloud, Apache™ Kafka™, and Salesforce™ integrations, Smart Edge Processing for IoT, Streaming Event Replay for un-rewindable sources, and 15 new Wizards to facilitate continuous movement of change data captured from enterprise databases.
“Striim has been designed from the ground up to enable the continuous collection, processing and analysis of high-speed streaming and messaging data, providing a foundation for enterprise adoption of the lambda architecture,” said Alok Pareek, founder and EVP of Products at Striim. “In version 3.6.1, we made enormous strides in handling the diverse data requirements of enterprise-grade streaming applications, as well as with the platform’s ease-of-use and monitoring capabilities.”
Hybrid Cloud Integration
As companies move toward hybrid cloud infrastructures, they need to be able to easily move data from on-premise to Cloud environments in real time. With this in mind, the Striim™ platform introduces support for both Amazon Redshift and S3 as data targets. Now users can ingest and process data from virtually any data source – including transactional data from enterprise databases – and load that data in real time into their Amazon Cloud environment.
Native Apache Kafka Integration and Streaming Replay’
Native Integration with Apache Kafka not only gives users the ability to ingest from, or write to Kafka, it also lays the foundation for Streaming Replay and Application Decoupling. Striim users can now quickly and easily leverage Kafka within the Striim platform to make every data source re-playable, enabling recovery even for streaming sources that cannot be rewound. This also acts to decouple applications, enabling multiple recoverable applications to be powered by the same data source.
A parallel Kafka stream can also act as an intermediary persistent store, helping to ensure that users are processing and writing the data “once and only once.” This is critical for enterprise-grade applications that need exactly once processing.
Streaming Ingestion from Salesforce
The latest version of Striim also includes a new Salesforce adapter. This adapter can be leveraged in two modes. Users can retrieve everything for an object type in Salesforce. Additionally, users can leverage Striim’s change data capture feature to capture a continuous feed of only the changes to Salesforce data. This enables initial processing of all Salesforce data, followed by the continuous capture of incremental changes, all within a single data flow or complete application.
Template-based CDC Wizards
With Striim 3.6.1, capturing and moving change data from enterprise databases has never been easier. Fifteen new Wizards enable rapid deployment of streaming solutions for moving change data from a variety of databases (including Oracle, MS SQL and MySQL), into a variety of targets (including Hadoop, Kafka and Amazon Redshift).
These CDC Wizards also facilitate configuration for Heterogeneous Real-Time Database Replication between any of the above-referenced enterprise databases, as well as Amazon Redshift. With change data capture established, Striim is able to apply the relevant operation to the target database, including in-place updates and deletes.
IoT and Smart Edge Filtering
As the volume of IoT data continues to grow, it is even more critical for companies to filter device data at the edge. Striim enables companies to embed filter logic into the device or sensor agent itself. They can set criteria for acceptable data, or aggregate data instantly at the device or sensor level, in order to reduce the volume of data being sent through streaming pipelines and into storage.
Also in support of IoT applications, Striim’s MQTT Integration has been bolstered, adding an MQTT Writer to the existing MQTT Reader.
This mega-release of the Striim Platform also adds support for HBase as a target. In addition, a new Metadata Browser allows users to reference and introspect assets they’ve created from within the streaming application they are building.
For more information regarding Striim version 3.6.1, please read the related post on our blog, or download the platform at striim2020.local.com/download-striim/.
The Striim™ platform makes data useful the instant it’s born. Striim (pronounced “stream”) is the only end-to-end integration + intelligence solution, making it easy to deliver custom real-time data integration and streaming analytics applications. For more information, please visit striim2020.local.com, read our blog at striim2020.local.com/blog/, or follow @striimteam.
VP of Marketing, Striim, Inc.
+1 650-241-0680 x215