Databricks Lakehouse Platform

Databricks Lakehouse Platform

Databricks Lakehouse Platform

73 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Databricks Lakehouse Platform	Score 8.3 out of 10	N/A	Databricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data platforms. Users can manage full data journey, to ingest, process, store, and expose data throughout an organization. Its Data Science Workspace is a collaborative environment for practitioners to run…	$0.07 Per DBU

Pricing

Databricks Lakehouse Platform

Editions & Modules

Standard: $0.07
Per DBU
Premium: $0.10
Per DBU
Enterprise: $0.13
Per DBU

Offerings

Pricing Offerings
Databricks Lakehouse Platform
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No

Entry-level Setup Fee

No setup fee

Additional Details

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More Pricing Information

Community Pulse
	Databricks Lakehouse Platform
Considered Both Products	Databricks Lakehouse Platform Axel Richier Tech Lead Data Engineer Chose Databricks Lakehouse Platform Compared to Synapse & Snowflake, Databricks provides a much better development experience, and deeper configuration capabilities. It works out-of-the-box but still allows you intricate customisation of the environment. I find Databricks very flexible and resilient at the same … Helpful? Verified User Employee Chose Databricks Lakehouse Platform NA Incentivized Helpful? Verified User Engineer Chose Databricks Lakehouse Platform The most important differentiating factor for Databricks Lakehouse Platform from these other platforms is support for ACID transactions and the time travel feature. Also, native integration with managed MLflow is a plus. EMR, Cloudera, and Hortonworks are not as optimized when … Incentivized Helpful? Verified User Director Chose Databricks Lakehouse Platform Databricks has a much better edge than Synapse in hundred different ways. Databricks has Photon engine, faster available release in cloud and databricks does not run on Open source spark version so better optimization, better performance and better agility and all kind of … Incentivized Helpful? GM Gilrod Maerina Analyst Chose Databricks Lakehouse Platform Databricks [Lakehouse Platform (Unified Analytics Platform)] can work with all data types in their original format while Snowflake requires additional structures to fit the data before loading it. Databricks is open source so potential is far greater. Incentivized Helpful? Surendranatha Reddy Chappidi Senior Data Engineer Chose Databricks Lakehouse Platform Databricks provides support for CURD operations by introducing Delta Lake file format. Cloudera doesn't have support for the same. Incentivized Helpful? Verified User Team Lead Chose Databricks Lakehouse Platform Databricks was picked among other competitors. Closest competition in our organization was H2O.ai and Databricks came out to be more useful for ROI and time to market in our internal research. We could have used AWS products, however Databricks notebooks and ability to launch … Incentivized Helpful? Verified User Director Chose Databricks Lakehouse Platform When we started using it, only the notebook experience was mature. However, DB was very helpful giving us direct support to get onto their platform. Really there was little in the way to compare to them at the time. AWS has services but not the same low-cost angle. Incentivized Helpful? Ann Le Freelance Translator Chose 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 … Incentivized Helpful? Verified User Director Chose Databricks Lakehouse Platform Easier to set up and get started. Less of a learning curve. Incentivized Helpful?
Top Pros	Pro Apache spark Pro Development environment Pro Data science
Top Cons	Minus Analytical tools Minus Access control Minus No data

Best Alternatives
	Databricks Lakehouse Platform
Small Businesses	No answers on this topic
Medium-sized Companies	Snowflake Score 9.0 out of 10
Enterprises	Snowflake Score 9.0 out of 10
All Alternatives	View all alternatives

User Ratings
	Databricks Lakehouse Platform
Likelihood to Recommend	8.4 (17 ratings)
Usability	9.4 (3 ratings)
Support Rating	8.6 (2 ratings)
Contract Terms and Pricing Model	8.0 (1 ratings)
Professional Services	10.0 (1 ratings)

User Testimonials
	Databricks Lakehouse Platform
Likelihood to Recommend	Databricks If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon. Incentivized Verified User Anonymous Read full review
Pros	Databricks Process raw data in One Lake (S3) env to relational tables and views Share notebooks with our business analysts so that they can use the queries and generate value out of the data Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers Incentivized Verified User Anonymous Read full review
Cons	Databricks Connect my local code in Visual code to my Databricks Lakehouse Platform cluster so I can run the code on the cluster. The old databricks-connect approach has many bugs and is hard to set up. The new Databricks Lakehouse Platform extension on Visual Code, doesn't allow the developers to debug their code line by line (only we can run the code). Maybe have a specific Databricks Lakehouse Platform IDE that can be used by Databricks Lakehouse Platform users to develop locally. Visualization in MLFLOW experiment can be enhanced Incentivized Verified User Anonymous Read full review
Usability	Databricks Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured. in terms of graph generation and interaction it could improve their UI and UX Incentivized Verified User Anonymous Read full review
Support Rating	Databricks One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge. Jonatan Bouchard Director Data Science Read full review
Alternatives Considered	Databricks Compared to Synapse & Snowflake, Databricks provides a much better development experience, and deeper configuration capabilities. It works out-of-the-box but still allows you intricate customisation of the environment. I find Databricks very flexible and resilient at the same time while Synapse and Snowflake feel more limited in terms of configuration and connectivity to external tools. Axel Richier Tech Lead Data Engineer Read full review
Return on Investment	Databricks The ability to spin up a BIG Data platform with little infrastructure overhead allows us to focus on business value not admin DB has the ability to terminate/time out instances which helps manage cost. The ability to quickly access typical hard to build data scenarios easily is a strength. Incentivized Verified User Anonymous Read full review
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