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Most collaborative Data Science & AI workspace !
July 26, 2023

Most collaborative Data Science & AI workspace !

Axel Richier | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Databricks Lakehouse Platform

I use Databricks Lakehouse Platform in my Data Scienc & AI consulting company to help various business entities with data-driven solutions. The platform can handle large and complex data sets and enable us to build and deploy applications using the latest technologies. The opennness of Databricks allows us to seamlessly integrate and adapt to our clients requirements :
* Creating dashboards with Tableau, Redash, Qlik,
* Feed their CRM tool like Salesforce, SAP,
* developing chatbots for Knowledge Management
* Serve ML models behind API endpoints.
Databricks Lakehouse Platform is a versatile and open product that saves us a lot of time, help us control cloud cost and human resources energy !
  • Enhanced Data Science & Data Engineering collaboration
  • Complete Infrastructure-as-code Terraform provider
  • Very easy streaming capabilities
  • Multiple Git providers integration with merge assistant
  • VsCode IDE support for local development
  • Python SDK for Workflows
  • Poetry support
  • Unity Catalog
  • Collaborative Spark Notebook supporting python, SQL, Scala, R
  • Serverless Endpoints
  • mlflow integration
  • Data Science environment is ready in a matter of minutes, not days.
  • Much better cost control
  • Easy onboarding for all clouds
Compared to Synapse & Snowflake, Databricks provides a much better development experience, and deeper configuration capabilities.
It works out-of-the-box but still allows you intricate customisation of the environment.
I find Databricks very flexible and resilient at the same time while Synapse and Snowflake feel more limited in terms of configuration and connectivity to external tools.

Do you think Databricks Lakehouse Platform delivers good value for the price?

Yes

Are you happy with Databricks Lakehouse Platform's feature set?

Yes

Did Databricks Lakehouse Platform live up to sales and marketing promises?

Yes

Did implementation of Databricks Lakehouse Platform go as expected?

Yes

Would you buy Databricks Lakehouse Platform again?

Yes

Databricks shines when you are working with a growing team of multiple data professions. By providing an easy to instantiate common workspace for Data Engineers, Data Scientist, ML Engineers and Data Analyst, fully integrated with Active Directory security, it makes your data projects more likely to go to production. No need to switch between tools, to transfer the data, the Unity Catalog will centralize all the assets and all your data citizens will find it in a second and can benefit from the Spark engine whatever language they use.

It would be less appropriate for very small data projects as the entry cost may be high. Yet, if the data is meant to grow, Databricks will horizontally scale without requiring a re-write of your codebase