When assessing the two solutions, reviewers found Amazon Neptune easier to use and administer. However, reviewers felt that Databricks was easier to do business with overall. Finally, reviewers felt that the products are equally easy to set up.
Amazon Neptune and Databricks both meet the requirements of our reviewers at a comparable rate.
When comparing quality of ongoing product support, reviewers felt that Amazon Neptune is the preferred option.
When assessing product direction, Amazon Neptune and Databricks received similar ratings from our reviewers.
Pricing
Entry-Level Pricing
Amazon Neptune
No pricing available
Databricks
No pricing available
Free Trial
Amazon Neptune
No trial information available
Databricks
Free Trial is available
Ratings
Meets Requirements
8.9
26
8.9
574
Ease of Use
9.1
27
8.9
585
Ease of Setup
8.7
9
8.7
457
Ease of Admin
9.0
10
8.3
183
Quality of Support
9.2
24
8.7
549
Has the product been a good partner in doing business?
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
4 Comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What is Databricks unified analytics platform?
3 Comments
CA
Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...Read more
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