Filter By "streaming-analytics"
When Streaming Analytics… Isn’t
Nearly all databases are designed for batch processing, which leaves three options for stream analytics.
Apache Druid vs. Snowflake
Elasticity is important, but beware the database that can only save you money when your application is not in use. The best solution will have excellent price-performance under all conditions.
Building high performance logging analytics with Polaris and Logstash
When you think of querying with Apache Druid, you probably imagine queries over massive data sets that run in less than a second. This blog is about some of the things we did as a team to discover the user stories, define an asynchronous download API, and deliver it in a monthly STS release.
Announcing Imply Polaris
Today, we're excited to announce a major leap forward in ease-of-use with the introduction of Imply Polaris, our fully-managed, database-as-a-service.
The Rise of a New Analytics Hero in 2022
Every year industry pundits predict data and analytics becoming more valuable the following year. But this doesn’t take a crystal ball to predict. There’s instead something much more interesting happening that’s going to change everything in the analytics world
Swimming in the Data River or: How We Got to Streaming Analytics
Businesses need to understand how their metrics change across many facets of their operations, and this is the core idea behind data analytics.
Kappa architecture at NTT Com: Building a streaming analytics stack with Druid and Kafka
One of the key activities at the heart of any internet backbone is flow analytics, which enables visibility into global traffic for many technical, economical, and security use cases.
By providing real-time traffic visibility and rapid explanation capabilities for this data, we unlock tremendous business value for the whole organization.
Farewell Lambda Architectures: Exactly-Once Streaming Ingestion in Druid
Today, many companies are turning to streaming solutions which are enabling them to understand and make business decisions from their data immediately, resulting in an operational agility that was unthinkable only a few years ago. The new Kafka indexing service is an exciting milestone in the maturity of Druid's ingestion technology, giving users a way to stream data into Druid with exactly-once correctness.