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:
Why migrate from Hadoop to the Databricks Lakehouse?
Simplify your data platform
Migrate with confidence
Leverage Brickbuilder Solutions from leading consulting partners — built for migrating from Hadoop to the Databricks Lakehouse
Streamline data migration to the Databricks Lakehouse PlatformGet started
Quicker migration from on-premises at lower costGet started
Auto-transform ETL, data warehouse, analytics and Hadoop workloads to DatabricksGet started
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Customers who have successfully migrated from cloud-based Hadoop to Databricks
Customers who have successfully migrated from on-premises Hadoop to Databricks
- It’s Time to Re-evaluate Your Relationship With Hadoop
- Top Considerations When Migrating Off of Hadoop
- 5 Key Steps to Successfully Migrate From Hadoop to the Lakehouse Architecture
- 7 Reasons to Migrate From Your Cloud-Based Hadoop to the Databricks Lakehouse Platform
- The Hidden Value of Hadoop Migration
Migration doesn’t have to be a headache. Contact us today to talk about what it could look like for you.