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Confluent Reveals ksqlDB, a Streaming Database Built on Kafka
Confluent narrowed the distance separating Kafka-esque stream data processing and traditional database technology with today’s unveiling of ksqlDB, a new database built atop Kafka that the company...
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Apache Flink Powers Cloudera’s New Streaming Analytics Product
Cloudera today launched Cloudera Streaming Analytics (CSA), a new subset of the Cloudera DataFlow (CDF) platform that is based on the Apache Flink stream processing engine. The new software runs on...
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Real-Time Data Streaming, Kafka and Analytics Part 3: Effective Planning for...
Data stream processing is defined as a system performing transformations for creating analytics on data inside a stream. In Part 1 of this series, we defined data streaming to provide an understanding...
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Stream Processing Is a Great Addition to Data Grid, Hazelcast Finds
In-memory data grids (IMDGs) historically have exceled in applications that require the fastest processing times and the lowest latencies. By adding a stream processing engine, called Jet, to its IMDG,...
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The Past and Future of In-Memory Computing
When Nikita Ivanov co-founded GridGain Systems back in 2005, he envisioned in-memory computing going mainstream and becoming a massive category unto itself within a few years. That obviously didn’t pan...
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Hazelcast Platform to Bring Historical, Real-Time Data Together
Hazelcast is best known as a developer of in-memory data grid (IMDB) technology, a RAM-loving layer for speeding up operational applications. But with the Hazelcast Platform launch currently slated for...
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RisingWave Emerges to Tackle Tsunami of Real-Time Data
Only the most advanced companies have overcome the technical complexity involved with processing streaming data in real time. One of the vendors aiming to reduce this complexity and make stream data...
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Five Drivers Behind the Rapid Rise of Apache Flink
In 2022 alone, a total of at least $55 million has been invested by venture capitalists into startups building companies around Apache Flink, the open source project that’s used to process data streams...
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Open Source Provides Path to Real-Time Stream Processing
Consumers expect immediate, personalized gratification. Real-time distributed stream processing enables companies to meet those expectations. However, many see the technology as being out of reach for...
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Using Streaming Data Applications to Power Decision-Making
How do businesses make timely decisions with efficiency? One approach uses streaming (real-time) data applications that collect, analyze, and offer insights about data as it is generated, as opposed to...
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