Databricks Lakehouse Platform vs Paxata

Likelihood to Recommend

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.

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Verified User

Engineer in Engineering

Computer Software Company, 1001-5000 employees

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Paxata can be highly useful to someone who doesn't like/have any experience with writing codes to treat data before using it as input into BI dashboards. Paxata can accelerate data cleaning in environments where a large amount of unclean data is generated and business decisions on the go are required. It performs really well while dealing with natural language.

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Ipsit Pradhan

Experienced Associate

PwCManagement Consulting, 10,001+ employees

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Pros

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

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Verified User

Team Lead in Engineering

Financial Services Company, 10,001+ employees

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Visualize distributions in large data sets effectively which enable the user to quickly spot outliers and treat them appropriately
Provides recommendation to merge datasets based on matching column values
The cluster and edit feature in my opinion is its most powerful feature and reduces cardinality in column with text

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Ipsit Pradhan

Experienced Associate

PwCManagement Consulting, 10,001+ employees

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Cons

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.

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Verified User

Director in Information Technology

Financial Services Company, 201-500 employees

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Doesn't provide recommendation on how to impute values
There is a lag quite often
We can say whether a column has errors or quality issues in the first look

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Ipsit Pradhan

Experienced Associate

PwCManagement Consulting, 10,001+ employees

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Pricing Details

General

Free Trial

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Free/Freemium Version

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Premium Consulting/Integration Services

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Entry-level set up fee?

No

Starting Price

$0.07 Per DBU

Databricks Lakehouse Platform Editions & Modules

Edition

Standard	$0.07¹
Premium	$0.10¹
Enterprise	$0.13¹

Per DBU

Additional Pricing Details

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General

Free Trial

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Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Starting Price

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Paxata Editions & Modules

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Additional Pricing Details

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Usability

Databricks Lakehouse Platform 9.0

Based on 3 answers

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

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Verified User

Manager in Product Management

Financial Services Company, 201-500 employees

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No score

No answers yet

No answers on this topic

Support Rating

Databricks Lakehouse Platform 7.5

Based on 2 answers

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.

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Jonatan Bouchard

Director Data Science

CNTransportation/Trucking/Railroad, 10,001+ employees

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No score

No answers yet

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Alternatives Considered

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 performance boost can be achieved in Databricks rather Open source synapse spark

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Verified User

Director in Information Technology

Hospitality Company, 10,001+ employees

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Paxata is a much better tool when it comes to handling natural language but Talend provides recommendations on how to impute missing values and outliers. Paxata provides recommendations on dataset tie-ups and joins but Talend doesn't provide any such recommendations. In paxata you can visualize distribution of data in a column and filter them by dragging and selecting the section you'd like to retain

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Ipsit Pradhan

Experienced Associate

PwCManagement Consulting, 10,001+ employees

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Contract Terms and Pricing Model

Databricks Lakehouse Platform 8.0

Based on 1 answer

The problem with this tool and all other ones that are at the top of the industry, it's so expensive that soon as another one will be on the market and deliver the same or different value, it will be catastrophic for them. So you get the fact that they are cashing every dime right now like SAS or Hadoop once did. Now, look at them

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Jonatan Bouchard

Director Data Science

CNTransportation/Trucking/Railroad, 10,001+ employees

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No score

No answers yet

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Professional Services

Databricks Lakehouse Platform 10.0

Based on 1 answer

Again, another level of professional services, this is not their biggest strength but this is the cherry on top. I couldn't think about any other professional services like this one. Now I'm talking about meaningful services that really help out our project and delivery.

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Jonatan Bouchard

Director Data Science

CNTransportation/Trucking/Railroad, 10,001+ employees

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No score

No answers yet

No answers on this topic

Return on Investment

Machine learning is a very new concept and not many universities offer to teach it. My school and a few others have been utilizing Databricks as one of the tools to teach and learn machine learning. By doing this, my university is creating a strong future workforce for the job market.

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Ann Le

Freelance Translator

ZOO Digital Group plcEntertainment, 501-1000 employees

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It saves time to clean data
It reduces the requirement of too many data engineer/stewards and hence adds positive impact on the return of the business

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Ipsit Pradhan

Experienced Associate

PwCManagement Consulting, 10,001+ employees

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