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Operational intelligence and the new frontier of data
At Rill, we believe the need for operational intelligence will dramatically expand in the coming years. In this post we lay out why operational intelligence matters now, its salient differences with traditional business intelligence, and why it demands new technology architectures.
Michael Driscoll
on
April 22, 2021
How to achieve fast query speed with no DevOps maintenance
The transition from on-prem to cloud has picked up speed. While just five years ago, companies were resisting moving to the cloud due to data security concerns, the more common question now is, “How can I move to the cloud as quickly and cost efficiently as possible?”
Margie Roginski
on
June 10, 2021
Introducing Rill Data’s BigQuery Connector
Apache Druid is an open source tool that comes with a standard set of connectors to ingest data from Kafka, Amazon S3, Google Cloud Storage, and Azure, and now with Rill Data ... BigQuery.
Egor Ryashin
Margie Roginski
on
June 3, 2021
Druid + Looker? Druid + Tableau? Leverage data interoperability for data visualization
If you are designing an analytics stack, it’s important to stay flexible. When it comes to analytics, you may choose a data warehouse such as BigQuery or Snowflake for periodic reporting on historical data, and you may choose an operational database such as Apache Druid or Pinot for ...
Margie Roginski
on
May 27, 2021
Apache Druid and Rill: better together
Apache Druid is an open source data store designed for high performance (sub-second) OLAP queries on large (terabyte) datasets. Learn how you can experience all of the benefits of Apache Druid's high performance real-time analytics database without the maintenance.
Margie Roginski
on
May 20, 2021
When should I use Apache Druid? Try this checklist.
Apache Druid is purpose built to generate high performance at low cost on a set of use cases that are becoming increasingly common: Operational Analytics. We've assembled the "Apache Druid Optimal Characteristics Checklist" to make it easy to understand the costs and benefits of using Druid for your use case.
Margie Roginski
on
May 13, 2021
Apache Druid Turns 10: The Untold Origin Story
Ten years ago today, the Druid data store was introduced to the world by Eric Tschetter, its creator, working at a small start-up named Metamarkets. Eric had left LinkedIn six months earlier to join us as the first full-time employee, and I was the CTO and co-founder, working ...
Michael Driscoll
on
May 1, 2021
