You do not have to leave AWS to simplify your data platform. Consolidate several services into one governed lakehouse.
You can stay on AWS and consolidate Redshift, EMR, Glue and Athena into Databricks. Data stays in your own S3 as Delta and Iceberg tables, and ETL, SQL, ML and agents run on one governed platform. Start with the most costly or painful workload to build the case for the rest.
Many AWS customers build their data platform from several services: Redshift for the warehouse, EMR for Spark, Glue for ETL and catalog, and Athena for ad hoc queries.
Each service has its own configuration, security and billing. Governance is spread across them. AI work often needs yet another copy of the data.
Start with the workload that costs the most or causes the most pain. A clear early win builds the case for the rest.
NeuralShore Engineering, Databricks delivery team
Databricks architects, data engineers and AI engineers at NeuralShore, DLytica’s Databricks delivery company. Leadership comes from IBM data and AI architecture.
No. Databricks runs in your AWS account and keeps data in your S3 buckets.
Often Redshift, EMR, Glue ETL and Athena, consolidated into one governed platform.
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Read the article: Leaving Hadoop: a step-by-step path to Databricks →Run Databricks on Google Cloud next to your data, and bring analytics, engineering and ML onto one platform.
Read the article: BigQuery and Dataproc to Databricks on Google Cloud →End-of-life appliances and heavy ETL estates are a strong case for moving. Our team knows both sides.
Read the article: IBM Netezza, Db2 and DataStage: modernizing to Databricks →
