Both Qubole and Databricks are solving the same problem – enabling analytics and machine learning on data lakes. Moreover, if you are here because you are evaluating Qubole vs. Databricks or looking for Databricks alternatives, you are at the right place. There are many who love us more than Databricks due to the choice and openness, we bring to the table.
Whether you are migrating your on-premises data lake to the cloud or building a new data lake, Qubole offers:
If you are augmenting your cloud data warehouse with a data lake platform, Qubole provides:
Whatever the reason is for replacing your data lake, Qubole has the capability to deliver:
Enable end-to-end feature engineering at enterprise scale.
Address data wrangling, exploration, and model development needs.
Integrate with leading ML workflows and model deployment tools.
Manage data pipelines efficiently and provide the flexibility of preferred programming language and data processing frameworks (Apache Spark, Presto, Hive, Airflow).
Provide fully automated and optimized infrastructure for SQL and Programmatic (Python, Scala) pipelines
Provide the relevant datasets to have baseline consistency with your analyst peers.
Ensure easy and single-click collaboration with your analyst peers by sharing your findings and model outputs for trend and pattern analysis.
Have ACID compliance and data masking across open source frameworks and public clouds.
Leverage IAM controls of cloud providers to give access rights to users
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source.
Select your cloud provider:
See what our Open Data Lake Platform can do for you in 35 minutes.
