Grafana has released version 3.0 of its open-source time-series database Mimir. A new architecture and a new query engine are intended to provide acceleration. Due to the significant changes, users ...
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This year’s winner of Best use of machine learning/AI, ActiveViam stood out for delivering a practical, production-ready ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...
Apache Druid is known for its capability to deliver sub-second responses to queries against petabytes of fast-moving data arriving via Kafka or Kinesis. With the latest milestone of Project Shapeshift ...
[SPONSORED GUEST ARTICLE] In the world of high-performance computing (HPC), where petabyte-scale storage and billions of files are commonplace, efficiently managing and querying massive data stores is ...
Data is the fuel of AI applications, but the magnitude and scale of enterprise data often make it too expensive and time-consuming to use effectively. According to IDC’s Global DataSphere 1, ...
Dremio Corp., developer of a self-service data analytics technology based on the Apache Arrow in-memory columnar data processing framework, today announced a version of its product delivered as a ...
Microsoft has unveiled a preview of a C++-based vectorized query engine for the Azure Databricks cloud analytics and AI service based on Apache Spark. Azure Databricks, which is delivered in ...
Although a serious engineering challenge, database vectorization delivers orders-of-magnitude performance boosts for a real-time analytics engine such as StarRocks. Here’s how we did it. Improving ...