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Databricks--a good all-rounder
May 28, 2021

Databricks--a good all-rounder

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Databricks Lakehouse Platform (Unified Analytics Platform)

We use Databricks Lakehouse Platform (Unified Analytics Platform) in our ETL process (data loading) to perform transformations and to implement the toughest loading strategies on huge datasets. It is very easy to understand and it can connect to almost all the modern data formats like Avro, Parquet, and JSON. It supports almost every popular cloud platform, like Azure and AWS, and offers better performance in terms of data processing speed.
  • Complex transformations
  • Supports major data sources
  • Great performance
  • User interface to connect data sources
  • Pricing
  • Community support
  • Big data support
  • Pyspark and Scala support
  • Visualization
  • Code maintenance
  • Scalability
  • Reduced processing time

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?

Yes

Did implementation of Databricks Lakehouse Platform (Unified Analytics Platform) go as expected?

Yes

Would you buy Databricks Lakehouse Platform (Unified Analytics Platform) again?

Yes

Databricks Lakehouse Platform (Unified Analytics Platform) can be used to process raw data from any system like IoT, structured, and unstructured data sources. Since it supports Pyspark and Scala to do data processing, it can do any complex business transformation very easily. Also, the Databricks Lakehouse Platform (Unified Analytics Platform) architecture is very similar to Big Data; it can process huge datasets from Hadoop systems and machine learning models in minutes.