According to a new press release, Confluent, a data streaming pioneer, has introduced Apache Flink on Confluent Cloud, a fully managed stream processing service that simplifies data stream filtering, joining, and enrichment. This offering enables organizations to react quickly and innovate by processing data streams in real time, resulting in timely insights and new use […]
Redis: Understanding the Open Source Data Store’s Primary Uses and Challenges
Click to learn more about author Bassam Chahine. Redis, which stands for “REmote Dictionary Server,” is a speed-optimized in-memory data store most often used as a cache. Redis has data structure versatility — from strings, lists, dictionaries, and sets, to support for approximate counting, geolocation, and stream processing. While Redis is configured as a cache […]
Confluent Announces ksqlDB – An Event Streaming Database
A recent press release states, “Confluent, Inc., the event streaming platform pioneer, today announced ksqlDB, an event streaming database that seeks to unify the multiple systems involved in stream processing into a single, easy-to-use solution for building event streaming applications. ksqlDB aims to bring the approachable feel of relational databases to the world of stream […]
Striim Enhances SQL-Based Stream Processing for Apache Kafka
by Angela Guess According to a recent press release, “Striim, Inc., provider of the leading real-time data integration and streaming analytics platform, today announced that it has launched version 3.8 of the Striim™ platform, enhancing the scalability and ease-of-use of its streaming integration and SQL-based stream processing capabilities for Apache Kafka. New features such as […]
data Artisans Unveils Turnkey Real-Time Stream Processing for Enterprises
by Angela Guess A recent press release states, “data Artisans, founded by the original creators of Apache Flink®, today announced dA Platform 2, the next generation of its enterprise stream processing platform. Featuring the Application Manager, the new release productionizes stream processing and enables companies to provide real-time data applications as a centralized enterprise service. […]
A Year of Blink at Alibaba: Apache Flink in Large Scale Production
Click to learn more about author Xiaowei Jiang. It has been a great year for Blink, our fork of Apache Flink®, at Alibaba. We went into production with Blink about a year ago, and since then, we have used it to make real-time updates to listings in various search products such as Taobao, Tmall, AliExpress, etc. […]
In-Memory Computing Platforms Respond to Evolving Enterprise Data Use Needs
In its just-released report, Cool Vendors in In-Memory Computing Technology 2016, Gartner highlighted a handful of interesting and innovative solutions within the In-Memory Computing (IMC) space for enabling a range of real-time analytics scenarios. It gave a first-time look at IMC-enabled analytics products from Bottlenose, Striim, and Zoomdata that target use cases including event stream […]
Streaming Analytics 101: The What, Why, and How
Stream processing analyzes and performs actions on real-time data though the use of continuous queries. Streaming Analytics connects to external data sources, enabling applications to integrate certain data into the application flow, or to update an external database with processed information. Bloor Research analyst Philip Howard says stream processing is really an evolution of Complex […]