Hadoop has proven unscalable, overly complex and unable to deliver on innovative use cases. Migrating from Hadoop to Databricks will help you scale effectively, simplify your data platform and accelerate innovation with support for analytics, machine learning and AI.
The challenge with Hadoop
On-premises Hadoop deployments have significant limitations, including wasted hardware capacity, high DevOps burden, increased power costs and software version upgrades.
Even if you migrate legacy on-premises Hadoop workloads to cloud-based managed services like EMR, HDInsight or Dataproc, you’ll still run into the same reliability and scalability issues. This leads to a lot of time being wasted on troubleshooting, infrastructure, resource management overhead and stitching different managed services on the cloud to maintain an end-to-end pipeline.
To learn more about the challenges organizations face with on-premises as well as cloud deployments of Hadoop, check out these blogs: