What users are saying about
30 Ratings
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Score 8.2 out of 100
7 Ratings
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Score 9.2 out of 100

Likelihood to Recommend

Databricks Lakehouse Platform

Databricks has helped my teams write PySpark and Spark SQL jobs and test them out before formally integrating them in Spark jobs. Through Databricks we can create parquet and JSON output files. Datamodelers and scientists who are not very good with coding can get good insight into the data using the notebooks that can be developed by the engineers.
Anonymous | TrustRadius Reviewer

H2O

Most suited if in little time you wanted to build and train a model. Then, H2O makes life very simple. It has support with R, Python and Java, so no programming dependency is required to use it. It's very simple to use.If you want to modify or tweak your ML algorithm then H2O is not suitable. You can't develop a model from scratch.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Databricks Lakehouse Platform
H2O
8.0
Connect to Multiple Data Sources
Databricks Lakehouse Platform
H2O
8.0
Automatic Data Format Detection
Databricks Lakehouse Platform
H2O
8.0

Data Exploration

Databricks Lakehouse Platform
H2O
8.5
Visualization
Databricks Lakehouse Platform
H2O
8.0
Interactive Data Analysis
Databricks Lakehouse Platform
H2O
9.0

Data Preparation

Databricks Lakehouse Platform
H2O
9.3
Interactive Data Cleaning and Enrichment
Databricks Lakehouse Platform
H2O
10.0
Data Transformations
Databricks Lakehouse Platform
H2O
9.0
Built-in Processors
Databricks Lakehouse Platform
H2O
9.0

Platform Data Modeling

Databricks Lakehouse Platform
H2O
10.0
Multiple Model Development Languages and Tools
Databricks Lakehouse Platform
H2O
10.0
Automated Machine Learning
Databricks Lakehouse Platform
H2O
10.0
Single platform for multiple model development
Databricks Lakehouse Platform
H2O
10.0
Self-Service Model Delivery
Databricks Lakehouse Platform
H2O
10.0

Model Deployment

Databricks Lakehouse Platform
H2O
9.0
Flexible Model Publishing Options
Databricks Lakehouse Platform
H2O
10.0
Security, Governance, and Cost Controls
Databricks Lakehouse Platform
H2O
8.0

Pros

Databricks Lakehouse Platform

  • It supports all data science programming languages like Python and R
  • it takes very few minutes to deploy models into production
  • it has tools that ensures collaborations between developers
Kofi Joshua | TrustRadius Reviewer

H2O

  • Excellent analytical and prediction tool
  • In the beginning, usage of H20 Flow in Web UI enables quick development and sharing of the analytical model
  • Readily available algorithms, easy to use in your analytical projects
  • Faster than Python scikit learn (in machine learning supervised learning area)
  • It can be accessed (run) from Python, not only JAVA etc.
  • Well documented and suitable for fast training or self studying
  • In the beginning, one can use the clickable Flow interface (WEB UI) and later move to a Python console. There is then no need to click in H20 Flow
  • It can be used as open source
Viktor Mulac | TrustRadius Reviewer

Cons

Databricks Lakehouse Platform

  • Better Localized Testing
  • When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
  • Graphing Support went non-existent; when it was one of their compelling general engine.
Anonymous | TrustRadius Reviewer

H2O

  • Better documentation
  • Improve the Visual presentations including charting etc
Anonymous | TrustRadius Reviewer

Usability

Databricks Lakehouse Platform

Databricks Lakehouse Platform 9.0
Based on 1 answer
This has been very useful in my organization for shared notebooks, integrated data pipeline automation and data sources integrations. Integration with AWS is seamless. Non tech users can easily learn how to use Databricks. You can have your company LDAP connect to it for login based access controls to some extent
Anonymous | TrustRadius Reviewer

H2O

No score
No answers yet
No answers on this topic

Support Rating

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

H2O

H2O 9.0
Based on 1 answer
The overall experience I have with H2O is really awesome, even with its cost effectiveness.
Anonymous | TrustRadius Reviewer

Alternatives Considered

Databricks Lakehouse Platform

I also use Microsoft Azure Machine Learning in parallel with Databricks. They use different file formats which teach me to be flexible and able to write different programs. They are equally useful to me and I would like to master both platforms for any future usage. I do prefer Databricks because it could be free if I decided to go with the Databricks Community Edition only.
Ann Le | TrustRadius Reviewer

H2O

Both are open source (though H2O only up to some level). Both comprise of deep learning, but H2O is not focused directly on deep learning, while Tensor Flow has a "laser" focus on deep learning. H2O is also more focused on scalability. H2O should be looked at not as a competitor but rather a complementary tool. The use case is usually not only about the algorithms, but also about the data model and data logistics and accessibility. H2O is more accessible due to its UI. Also, both can be accessed from Python. The community around TensorFlow seems larger than that of H2O.
Viktor Mulac | TrustRadius Reviewer

Return on Investment

Databricks Lakehouse Platform

  • Rapid growth of analytics within our company.
  • Cost model aligns with usage allowing us to make a reasonable initial investment and scale the cost as we realize the value.
  • Platform is easy to learn and Databricks provides excellent support and training.
  • Platform does not require a large DevOPs investment
Anonymous | TrustRadius Reviewer

H2O

  • Positive impact: saving in infrastructure expenses - compared to other bulky tools this costs a fraction
  • Positive impact: ability to get quick fixes from H2O when problems arise - compared to waiting for several months/years for new releases from other vendors
  • Positive impact: Access to H2O core team and able to get features that are needed for our business quickly added to the core H2O product
Anonymous | TrustRadius Reviewer

Pricing Details

Databricks Lakehouse Platform

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Databricks Lakehouse Platform Editions & Modules

Edition
Standard$0.071
Premium$0.101
Enterprise$0.131
  1. Per DBU
Additional Pricing Details

H2O

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

H2O Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

Databricks Lakehouse Platform
8.0
H2O
8.1

Usability

Databricks Lakehouse Platform
9.0
H2O

Support Rating

Databricks Lakehouse Platform
H2O
9.0

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