Datavolo is proud to announce the release of a GitHub Action designed to help with Continuous Integration of Apache NiFi Flows and make reviewing of changes between two flow versions as easy as possible. At Datavolo, collaboration on the Flow Definitions is done by...
Apache NiFi's 2.0.0 release included several upgrades that make the platform faster, more secure, and easy to use. One thing that really stands out to us, however, is how transformational Apache NiFi's frontend modernization really is. The platform has been redesigned...
Apache NiFi is about to turn 10 years old as an Apache Software Foundation (ASF) project and it is in use by over 8,000 enterprises around the globe. No better time for this incredibly flexible and powerful framework to finalize its 2.0.0 version. Welcome to the Next...
New support for writing to Apache Polaris-managed Apache Iceberg tables enables Datavolo customers to stream transformed data from nearly any source system into Iceberg. Originally created by Snowflake, Polaris allows customers to use any query engine to access the...
Organizations using NiFi for business-critical workloads have deep automation, orchestration, and security needs that Kubernetes by itself cannot support. In this second installment of our Kubernetes series, we explore how the Kubernetes Operator pattern alleviates...
Introduction Clustering is a core capability of Apache NiFi. Clustered deployments support centralized configuration and distributed processing. NiFi 1.0.0 introduced clustering based on Apache ZooKeeper for coordinated leader election and shared state tracking. Among...
Survey of long time users to understand NiFi usage Datavolo empowers and enables the 10X Data Engineer. Today's 10X Data Engineer has to know about and tame unstructured and multi-modal data. Our core technology, Apache NiFi, has nearly 18 years of development,...