Great for both ad-hoc analyzes and scheduled jobs
May 15, 2021
Great for both ad-hoc analyzes and scheduled jobs
Overall Satisfaction with Databricks Lakehouse Platform (Unified Analytics Platform)
We use Databricks Lakehouse Platform to transform IoT data and build data models for BI tools. It is being used by engineering and IT teams. We use it with a data lake platform, read the raw data and transform it to a suitable format for analytics tools. We run daily/hourly jobs to create BI models and save the resulting models back to data lake or SQL tables.
- Ready-2-use Spark environment with zero configuration required
- Interactive analysis with notebook-style coding
- Variety of language options (R, Scala, Python, SQL, Java)
- Scheduled jobs
- Random task failures
- Hard to debug code
- Hard to profile code
- Scalable processing
- Notebook-based codebase
- Scheduled jobs
- Supports end-customer dashboards
- Provides a fast analysis platform
- Supports BI dashboards for engineering teams
Do you think Databricks Lakehouse Platform (Unified Analytics Platform) delivers good value for the price?
Yes
Are you happy with Databricks Lakehouse Platform (Unified Analytics Platform)'s feature set?
Yes
Did Databricks Lakehouse Platform (Unified Analytics Platform) live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Databricks Lakehouse Platform (Unified Analytics Platform) go as expected?
I wasn't involved with the implementation phase
Would you buy Databricks Lakehouse Platform (Unified Analytics Platform) again?
Yes