SM

Senthil Kumarr M.

BigData Solution Architect

Enterprise (\> 1000 emp.)

5/25/2022

"Best Lakehouse Platform for building enterprise data pipelines for business needs"

5/5

What do you like best about Databricks?

No 1 - Delta Lakehouse platform supports ACID transactions (Data lake + Datawarehouse)

Easy DLT pipeline with lineage & quality

Unified governance with the unity catalog

Support Schema evolution

Exceptional AUTOLOADER capability Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Awaiting for the Serverless Data engineering pipeline with NO capacity planning outside DLT with SLA-based scaling ( I know it's on ROADMAP, I am waiting).

More features on GCP+Databricks integration compared to same as AWS, Azure. (Some capabilities like credential passthrough missing in GCP) Review collected by and hosted on G2.com.

Recommendations to others considering Databricks:

Kindly go for this for building a cloud-native lakehouse platform for big data batch/streaming ingestion, quality, transformations and building the medallion lakehouse architecture (unified data lake + Datawarehouse) data mesh experience for end consumers. Best in the market which supports AWS,AZURE and GCP cloud.

Partner Connect, Advanced analytics/MLOPS/Data science Auto-ML also looks good with improving salient features.Go for this product which combines all in one suite

Data Sharing (Delta Sharing) is quite useful for security/compliance Review collected by and hosted on G2.com.

What problems is Databricks solving and how is that benefiting you?

Data Lake + Datawarehousing (Unifies Lakehouse Platform)

Delta lake capabilities

Schema evolution

Data quarantine & Data Quality

Data Integration & Transformations Review collected by and hosted on G2.com.

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Response from Aunalisa Arellano of Databricks

[Editedit](https://www.g2.com/survey_responses/databricks-review-6666411/official_response/edit)

Thank you for recommending Databricks Data Intelligence Platform for building cloud-native lakehouse platforms and highlighting its support for AWS, Azure, and GCP. We're pleased to hear that the product has been beneficial for unifying data lake and data warehouse, supporting data sharing, and addressing data integration and transformation needs. Thanks for taking the time to leave a review!

Current UserValidated ReviewerSource: Organic

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4.6 out of 5 · Verified reviews from real users

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