What users are saying about

Databricks Lakehouse Platform vs Denodo

Databricks Lakehouse Platform
50 Ratings
Denodo
12 Ratings

Databricks Lakehouse Platform

50 Ratings
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Score 8.7 out of 100

Based on 50 reviews and ratings

Denodo

12 Ratings
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Score 9 out of 100

Based on 12 reviews and ratings

Attribute Ratings

  • Databricks Lakehouse Platform (Unified Analytics Platform) is rated higher in 2 areas: Likelihood to Recommend, Usability

Likelihood to Recommend

8.7

Databricks Lakehouse Platform

87%
15 Ratings
8.0

Denodo

80%
2 Ratings

Usability

9.0

Databricks Lakehouse Platform

90%
3 Ratings
8.0

Denodo

80%
1 Rating

Performance

Databricks Lakehouse Platform

N/A
0 Ratings
8.0

Denodo

80%
2 Ratings

Support Rating

7.5

Databricks Lakehouse Platform

75%
2 Ratings

Denodo

N/A
0 Ratings

Contract Terms and Pricing Model

8.0

Databricks Lakehouse Platform

80%
1 Rating

Denodo

N/A
0 Ratings

Professional Services

10.0

Databricks Lakehouse Platform

100%
1 Rating

Denodo

N/A
0 Ratings

Likelihood to Recommend

Databricks Lakehouse Platform

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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Anonymous | TrustRadius Reviewer
Verified User
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Denodo

Donodo is very well suited for large organizations with siloed datasets. Denodo thrives in these environments, since large organizations can afford the licensing costs, and are always tasked to mash up data from multiple environments throughout the organization.

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Anonymous | TrustRadius Reviewer
Verified User
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Pros

Databricks Lakehouse Platform

  • 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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Anonymous | TrustRadius Reviewer
Verified User
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Denodo

  • Flat learning curve.
  • Does not need brilliant developers.
  • Less need for custom denodo wrappers, even if needed is not very complex.
  • Denodo stored procedures and functions helped address complex, not straightforward requirements.
  • Export/import deployment between environments was very helpful.

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Karthick Subharaj Rajarathinam | TrustRadius Reviewer
Karthick Subharaj Rajarathinam
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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.

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Anonymous | TrustRadius Reviewer
Verified User
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Denodo

  • Lack of Documentation and user community: Denodo continues to have a small community of super users, therefore there is not a lot of documentation out there in the event you get stuck.
  • Cost: Data virtualization isn't cheap, so smaller organizations might shy away from this technology due to the high licensing costs.
  • Caching strategy: Some slower datasets will require caching... which argues, why not just do traditional ETL if you need to do this?

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Anonymous | TrustRadius Reviewer
Verified User
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Pricing Details

Databricks Lakehouse Platform

General

Free Trial
—
Free/Freemium Version
—
Premium Consulting/Integration Services
—
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
  1. Per DBU
Additional Pricing Details
—

Denodo

General

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

Starting Price

—

Denodo Editions & Modules

—
Additional Pricing Details
—

Usability

Databricks Lakehouse Platform

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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Anonymous | TrustRadius Reviewer
Verified User
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Denodo

Denodo 8.0
Based on 1 answer
Denodo is very easy to use. It has a user-friendly drag and drop interface. I'm not a fan of the java platform it resides on.

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Anonymous | TrustRadius Reviewer
Verified User
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Performance

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

Denodo

Denodo 8.0
Based on 2 answers
Denodo is a tool to rapidly mash data sources together and create meaningful datasets. It does have its downfalls though. When you create larger, more complex datasets, you will most likely need to cache your datasets, regardless of how proper your joins are set up. Since DV takes data from multiple environments, you are taxing the corporate network, so you need to be conscious of how much data you are sending through the network and truly understand how and when to join datasets due to this.

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Anonymous | TrustRadius Reviewer
Verified User
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Support Rating

Databricks Lakehouse Platform

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 | TrustRadius Reviewer
Jonatan Bouchard
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Denodo

No score
No answers yet
No answers on this topic

Alternatives Considered

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

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Anonymous | TrustRadius Reviewer
Verified User
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Denodo

I did not use any other data virtualization platform. BizTalk is not the right comparison; it is an integration layer and for orchestration; do not use denodo as an orchestration layer, it is not for connecting upstreams to downstreams and orchestrate data flows, it is primarily for pulling information and presenting in a fashion that benefit the audience

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Karthick Subharaj Rajarathinam | TrustRadius Reviewer
Karthick Subharaj Rajarathinam
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Contract Terms and Pricing Model

Databricks Lakehouse Platform

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 | TrustRadius Reviewer
Jonatan Bouchard
View all 1 answers on this topic

Denodo

No score
No answers yet
No answers on this topic

Professional Services

Databricks Lakehouse Platform

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 | TrustRadius Reviewer
Jonatan Bouchard
View all 1 answers on this topic

Denodo

No score
No answers yet
No answers on this topic

Return on Investment

Databricks Lakehouse Platform

  • 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 | TrustRadius Reviewer
Ann Le
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Denodo

  • Improved time-to-market. We addressed new requirements in less than 2 person days.
  • Very agile. Easy to handle changing requirements. Like a new requirement, a change in requirement was not expensive either.
  • Platform issues were difficult to diagnose and debug.

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Karthick Subharaj Rajarathinam | TrustRadius Reviewer
Karthick Subharaj Rajarathinam
View all 2 answers on this topic

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