Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Denodo
Score 8.5 out of 10
N/A
Denodo is the eponymous data integration platform from the global company headquartered in Silicon Valley.N/A
Matillion
Score 6.6 out of 10
N/A
Matillion is a productivity platform for data teams. Matillion's Data Productivity Cloud helps data teams – coders and non-coders alike – to move, transform, and orchestrate data pipelines with the goal of empowering teams to deliver quality data at a speed and scale that matches the business’s data ambitions. The vendor states enterprises including Cisco,N/A
Pricing
DenodoMatillion
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
DenodoMatillion
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsBilled directly via cloud marketplace on an hourly basis, with annual subscriptions available depending on the customer's cloud data warehouse provider.
More Pricing Information
Features
DenodoMatillion
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Denodo
-
Ratings
Matillion
7.5
123 Ratings
10% below category average
Connect to traditional data sources00 Ratings7.6122 Ratings
Connecto to Big Data and NoSQL00 Ratings7.482 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Denodo
-
Ratings
Matillion
7.2
124 Ratings
14% below category average
Simple transformations00 Ratings8.1124 Ratings
Complex transformations00 Ratings6.4123 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Denodo
-
Ratings
Matillion
7.1
116 Ratings
13% below category average
Data model creation00 Ratings9.133 Ratings
Metadata management00 Ratings9.140 Ratings
Business rules and workflow00 Ratings5.8108 Ratings
Collaboration00 Ratings5.3108 Ratings
Testing and debugging00 Ratings5.3109 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Denodo
-
Ratings
Matillion
8.2
23 Ratings
1% below category average
Integration with data quality tools00 Ratings8.222 Ratings
Integration with MDM tools00 Ratings8.220 Ratings
Best Alternatives
DenodoMatillion
Small Businesses

No answers on this topic

Skyvia
Skyvia
Score 9.7 out of 10
Medium-sized Companies
SAP HANA Cloud
SAP HANA Cloud
Score 8.5 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Enterprises
Delphix
Delphix
Score 9.2 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DenodoMatillion
Likelihood to Recommend
8.8
(6 ratings)
6.7
(125 ratings)
Likelihood to Renew
-
(0 ratings)
8.3
(6 ratings)
Usability
8.0
(1 ratings)
6.4
(124 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
7.4
(7 ratings)
Implementation Rating
-
(0 ratings)
8.2
(1 ratings)
Product Scalability
-
(0 ratings)
6.5
(117 ratings)
Vendor post-sale
-
(0 ratings)
9.1
(1 ratings)
Vendor pre-sale
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
DenodoMatillion
Likelihood to Recommend
Denodo
Denodo allows us to create and combine new views to create a
virtual repository and APIs without a single line of code. It is excellent
because it can present connectors with a view format for downstream consumers
by flattening a JSON file. Reading or connecting to various sources and
displaying a tabular view is an excellent feature. The product's technical data
catalog is well-organized.
Read full review
Matillion
It is very well suited for ETL on the cloud. Whenever there is something that can be accomplished with no code or little code, Matillion is a good tool. However, if your pipeline requires a lot of customizations, Matillion should be avoided.
Read full review
Pros
Denodo
  • Database Agnostic: You can easily connect to different environments and mash up data sets.
  • The "magic" of data virtualization: No data is created, so data is reported in near-real-time to end users.
  • It's easy to use UI for developers. You just connect to a data source, create tables, and join them to other datasets.
Read full review
Matillion
  • We leveraged Matillion’s no-code principals to make data manipulation easy for our internal customers. People who don't know how to use SQL no longer need to. Everything in Matillion is self-explained with no or little coding.
  • We connected Matillion to our data warehouse to allow people to read raw data, transform it, then write results back to their sandbox databases. The drag and drop component design allowed customers to create complex data models at the speed of thought without any risk to production data.
  • With sharing capabilities between projects enabled, everyone was able to help each other when questions arose which instilled a strong sense of collaboration and community.
Read full review
Cons
Denodo
  • Caching - but I am sure it will be improved by now. There were times when we expected the cache to be refreshed but it was stale.
  • Schema generation of endpoints from API response was sometimes incomplete as not all API calls returned all the fields. Will be good to have an ability to load the schema itself (XSD/JSON/Soap XML etc).
  • Denodo exposed web services were in preliminary stage when we used; I'm sure it will be improved by now.
  • Export/Import deployment, while it was helpful, there were unexpected issues without any errors during deployment. Issues were only identified during testing. Some views were not created properly and did not work. If it was working in the environment from where it was exported from, it should work in the environment where it is imported.
Read full review
Matillion
  • I think a non-CLI approach to installing and uninstalling python libraries would be nice. I mean, it isn't difficult to install a python library via Linux or CLI, but I imagine most companies don't feel comfortable allowing Matillion users to go on a virtual server and installing it themselves. Requirement.txt file for installing libraries would be simple, and maybe that could also be used to uninstall libraries as well......or maybe the library gets automatically downloaded if it is imported into a python script but the library doesn't exist.
  • Python Component is lacking very much in terms of UI. It would be unrealistic for me to suggest Matillion build its own EDI, but it would be nice if a python component could connect to a local IDE. Right now, if you want to write any decent length python code, you are going to be stuck copying and pasting your code from your local IDE.
  • It is also very difficult to debug in Matillion because you can't set breakpoints. Local IDE integration can resolve that.
  • I would like to have more templates to copy from for certain simplistic scenarios. For instance, a template for a job that fails which sends an AWS SNS with the Job name, component it failed on, and the error message. It wasn't as simple as I thought it would be to figure out and having to use a shared job for such circumstances can be painful because you have to export a bunch of variables.
  • There should be a drop down list for Global Matillion variables as it is difficult to remember at times.
Read full review
Likelihood to Renew
Denodo
No answers on this topic
Matillion
With the current experience of Matillion, we are likely to renew with the current feature option but will also look for improvement in various areas including scalability and dependability. 1. Connectors: It offers various connectors option but isn't full proof which we will be looking forward as we grow. 2. Scalability: As usage increase, we want Matillion system to be more stable.
Read full review
Usability
Denodo
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.
Read full review
Matillion
It has been easy to train new employees who don't have previous experience with Matillion. It is quite self-explanatory. There are quite a few things that can be done with Python, however, we have not really looked into this feature much but likely will do in the future. Mostly, it is drag and drop of components and environments can be set up so easy to set up connections as well.
Read full review
Performance
Denodo
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.
Read full review
Matillion
No answers on this topic
Support Rating
Denodo
No answers on this topic
Matillion
Overall, I've found Matillion to be responsive and considerate. I feel like they value us as a customer even when I know they have customers who spend more on the product than we do. That speaks to a motive higher than money. They want to make a good product and a good experience for their customers. If I have any complaint, it's that support sometimes feels community-oriented. It isn't always immediately clear to me that my support requests are going to a support engineer and not to the community at large. Usually, though, after a bit of conversation, it's clear that Matillion is watching and responding. And responses are generally quick in coming.
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Implementation Rating
Denodo
No answers on this topic
Matillion
We were able to control on access and built various enviroment for implementation
Read full review
Alternatives Considered
Denodo
Denodo is simple and easy to use. Highly recommended unless you have huge volumes of data
Read full review
Matillion
Matillion ran circles around Stitch and Striim both in functionality, setup, and performance. There was no real comparison. Fivetran massively outperforms Matillion in pretty much every facet of the production from setup, maintenance, visibility, and usability. It already has the ability to connect any data source to a destination regardless of database type. Why we chose Matillion over Fivetran is that, for our current needs, Matillion provides us with the functionality that we need and a much more competitive price for a smaller company.
Read full review
Scalability
Denodo
No answers on this topic
Matillion
I have been able to connect Matillion to AWS Aurora Databases, MySQL databases, Rest APIs, Files in AWS S3, etc. Being able to load all of that disparate data into one datalake has made data mining and reporting a lot simpler. I wish everything could be implemented as easily as Matillion.
Read full review
Return on Investment
Denodo
  • It is a huge advantage that we can connect to many different databases to provide data rapidly and accurately.
  • It has proven to be a valuable environment for deploying data virtualization solutions, and its user community is active in finding and fixing issues.
Read full review
Matillion
  • Saving us time reduces our need for headcount
  • Allows us to collaborate on data-eng pipelines in a transparent way with non-technical stakeholders, ensuring accuracy and continuity
  • Allows us a single platform to log and manage all of our pipelines to pin-point where something failed and why
  • Always has a solution to very common data engineering tasks, i.e., real-time data, connectors, pre-built workflows, etc.
Read full review
ScreenShots

Matillion Screenshots

Screenshot of Matillion's GUI, used to orchestrate jobs with control data flow functionality, automating the ETL process.Screenshot of where structured and semi-structured data can be prepared to create clean data sets that can be used with any BI/reporting/visualization tool of choice. Matillion reads and combines data across a target warehouse external storage, such as S3 or Blob.Screenshot of Matillion's self-validating components, sample and row counts. If a job does fail, the warehouse queue services available with Matillion can be used get an alert to a connected email or Slack account.Screenshot of the SQL component used to run custom scripts from within Matillion. With hundreds of pre-built connectors out of the box, Matillion can handle complex transformation needs.