Tag: real-time streaming

The SQL Service at the Heart of Amazon Kinesis Analytics

Aug 17, 2016 |

Amazon Web Services gave real-time application developers a boost last week when it unveiled Amazon Kinesis Analytics, a new service for continuously querying streaming data using good old SQL. The service hooks into the entire Kinesis suite available from AWS, but the core underlying technology was developed by a third-party vendor you might not be familiar with. Read more…

Concord Claims 10x Performance Edge on Spark Streaming

Jul 14, 2016 |

Organizations that are looking for a stream processing engine upon which to build fast data applications featuring high-throughput and low-latency may want to check out Concord, a new framework that emerged from the ad-tech world and reportedly runs 10 times faster than Spark Streaming and Storm. Read more…

Merging Batch and Stream Processing in a Post Lambda World

Jun 1, 2016 |

It wasn’t long ago that developers looked to the Lamba architecture for hints on how to design big data applications that needed elements of both batch and streaming data. But already, the Lamba architecture is falling out of favor, especially in light of a new crop of frameworks like Apache Spark and Apache Flink that can do it all. Read more…

The Real-Time Rise of Apache Kafka

Apr 6, 2016 |

Shiny new objects are easy to find in the big data space. So when the industry’s attention shifted towards processing streams of data in real time–as opposed to batch-style processing that was popular with first-generation Hadoop–we saw dozens of promising new technologies pop up seemingly overnight. Read more…

Reporter’s Notebook: 6 Key Takeaways from Strata + Hadoop World

Apr 5, 2016 |

The big data ecosystem was on full display at last week’s Strata + Hadoop World conference in San Jose. At the ripe old age of 10, Hadoop is still the driving force, but newer frameworks like Spark and Kafka are gaining steam. Read more…

Apache Flink Creators Get $6M to Simplify Stream Processing

Mar 30, 2016 |

Real-time stream processing is one of the hottest topics this week at Strata + Hadoop World, and one of the new frameworks turning heads is Apache Flink. Developed by the German company data Artisans, Flink is unique in that it aims to simplify the big data analytics stack with “streaming first” Read more…

Confluent Gives Kafka More Enterprise Chops

Dec 8, 2015 |

Confluent today unveiled a major new release of its commercial product based on Kafka, the open source data messaging platform that’s quickly gaining momentum. With better security, new data connectors, and simplified integration, Confluent 2.0 promises to attract even more attention from large enterprises that are moving big data with Kafka. Read more…

MapR Introduces Streams to Compete with Kafka

Dec 8, 2015 |

MapR Technologies today unveiled MapR Streams, a new component of its integrated platform designed to move large amounts of data. MapR Streams uses the same publish-and-subscribe technique that underlies Apache Kafka, and is fully compatible with real-time streaming analytics applications such as Apache Storm and Spark Streaming. Read more…

DataTorrent Raises the Bar for Real-Time Streaming

Oct 15, 2014 |

There’s a lot of talk these days about real-time streaming applications. If analyzing and acting on new data is good, then doing it immediately must be better. The truth is, building real-time streaming applications is not easy work. Read more…