Explore >> Select a destination
|
You are here 
|
jensrantil.github.io | ||
| | | | |
streamnative.io
|
|
| | | | | Ursa: Reimagine Apache Kafka for the Cost-Conscious Data Streaming | |
| | | | |
www.madewithtea.com
|
|
| | | | | This article is about aggregates in stateful stream processing in general. I write about the differences between Apache Spark and Apache Kafka Streams along concrete code examples. Further, I list the requirements which we might like to see covered by a stream processing framework. | |
| | | | |
www.ververica.com
|
|
| | | | | Discover Fluss, a unified streaming storage solution for Apache Flink, revolutionizing real-time data processing and analytics with sub-second latency. | |
| | | | |
www.rilldata.com
|
|
| | | This blog explores how real-time databases address critical analytical requirements. We highlight the differences between cloud data warehouses like Snowflake and BigQuery, legacy OLAP databases like Vertica, and a new class of real-time analytical databases like ClickHouse and StarRocks that combine elements of both of these categories. We will also examine the categories of today's analytics solutions and how to choose the right one. | ||
