Informatica PowerCenter vs. Matillion

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Informatica PowerCenter
Score 7.8 out of 10
N/A
Informatica PowerCenter is a metadata driven data integration technology designed to form the foundation for data integration initiatives, including analytics and data warehousing, application migration, or consolidation and data governance.N/A
Matillion
Score 7.5 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
Informatica PowerCenterMatillion
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica PowerCenterMatillion
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
Community Pulse
Informatica PowerCenterMatillion
Considered Both Products
Informatica PowerCenter

No answer on this topic

Matillion
Top Pros
Top Cons
Features
Informatica PowerCenterMatillion
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Informatica PowerCenter
8.5
18 Ratings
3% above category average
Matillion
8.6
122 Ratings
4% above category average
Connect to traditional data sources9.018 Ratings8.7121 Ratings
Connecto to Big Data and NoSQL8.014 Ratings8.581 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Informatica PowerCenter
7.5
18 Ratings
11% below category average
Matillion
8.4
123 Ratings
0% above category average
Simple transformations8.018 Ratings9.3123 Ratings
Complex transformations7.018 Ratings7.4122 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Informatica PowerCenter
8.2
18 Ratings
0% above category average
Matillion
8.2
115 Ratings
0% above category average
Data model creation9.015 Ratings9.133 Ratings
Metadata management8.016 Ratings9.140 Ratings
Business rules and workflow9.018 Ratings7.9107 Ratings
Collaboration6.116 Ratings7.3107 Ratings
Testing and debugging9.017 Ratings7.3108 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Informatica PowerCenter
9.0
15 Ratings
9% above category average
Matillion
8.2
23 Ratings
0% below category average
Integration with data quality tools9.015 Ratings8.222 Ratings
Integration with MDM tools9.013 Ratings8.220 Ratings
Best Alternatives
Informatica PowerCenterMatillion
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10
Skyvia
Skyvia
Score 9.6 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Informatica PowerCenterMatillion
Likelihood to Recommend
8.0
(21 ratings)
8.9
(124 ratings)
Likelihood to Renew
10.0
(4 ratings)
8.1
(6 ratings)
Usability
9.0
(3 ratings)
8.6
(123 ratings)
Performance
9.4
(2 ratings)
-
(0 ratings)
Support Rating
9.0
(2 ratings)
7.4
(7 ratings)
Implementation Rating
-
(0 ratings)
8.2
(1 ratings)
Product Scalability
-
(0 ratings)
8.7
(116 ratings)
Vendor post-sale
-
(0 ratings)
9.1
(1 ratings)
Vendor pre-sale
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
Informatica PowerCenterMatillion
Likelihood to Recommend
Informatica
1.- Scenaries with poor sources of data is not recomended (Very bad ROI). The solution is for medium-big enterprises with a lot of sources of data and users. 2.- Bank and finance enviroment to integrate differente data form trading, Regulatory reports, decisions makers, fraud and financial crimes because in this kind of scenary the quality of data is the base of the business. 3.- Departments of development and test of applications in enterprises because you can design enviroments, out of the production systems, to development and test the new API's or updateds made.
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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.
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Pros
Informatica
  • Informatica Powercenter is an innovative software that works with ETL-type data integration. Connectivity to almost all the database systems.
  • Great documentation and customer support.
  • It has a various solution to address data quality issues. data masking, data virtualization. It has various supporting tools or MDM, IDQ, Analyst, BigData which can be used to analyze data and correct it.
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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.
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Cons
Informatica
  • There are too many ways to perform the same or similar functions which in turn makes it challenging to trace what a workflow is doing and at which point (ex. sessions can be designed as static or re-usable and the override can occur at the session or workflow, or both which can be counter productive and confusing when troubleshooting).
  • The power in structured design is a double edged sword. Simple tasks for a POC can become cumbersome. Ex. if you want to move some data to test a process, you first have to create your sources by importing them which means an ODBC connection or similar will need to be configured, you in turn have to develop your targets and all of the essential building blocks before being able to begin actual development. While I am on sources and targets, I think of a table definition as just that and find it counter intuitive to have to design a table as both a source and target and manage them as different objects. It would be more intuitive to have a table definition and its source/target properties defined by where you drag and drop it in the mapping.
  • There are no checkpoints or data viewer type functions without designing an entire mapping and workflow. If you would like to simply run a job up to a point and check the throughput, an entire mapping needs to be completed and you would workaround this by creating a flat file target.
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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.
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Likelihood to Renew
Informatica
Our team enjoys using Informatica and feels that it is one of the best ETL tools on the market.
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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.
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Usability
Informatica
Positives; - Multi User Development Environment - Speed of transformation - Seamless integration between other Informatica products. Negatives; - There should be less windows to maintain developers' focus while using. You probably need 2 big monitors when you start development with Informatica Power Center. - Oracle Analytical functions should be natively used. - E-LT support as well as ETL support.
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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.
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Performance
Informatica
PowerCenter is robust and fast, and it does a great job meeting all the needs, not just the most commercially vocal needs. In the hands of an expert power user, you can accomplish almost anything with your data. It is not for new users or intermittent users-- for that the Cloud version is a better fit. Be prepared for costly connectors (priced differently for each source or destination you are working with), and just be planful of your projects so you are not paying for connectors you no longer need or want
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Matillion
No answers on this topic
Support Rating
Informatica
Informatica power center is a leader of the pack of ETL tools and has some great abilities that make it stand out from other ETL tools. It has been a great partner to its clients over a long time so it's definitely dependable. With all the great things about Informatica, it has a bit of tech burden that should be addressed to make it more nimble, reduce the learning curve for new developers, provide better connectivity with visualization tools.
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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
Informatica
No answers on this topic
Matillion
We were able to control on access and built various enviroment for implementation
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Alternatives Considered
Informatica
While Talend offers a much more comfortable interface to work with, Informatica's forte is performance. And on that front, Informatica Enterprise Data Integration certainly leaves Talend in the dust. For a more back-end-centric use case, Informatica is certainly the ETL tool of choice. On the other hand, if business users would be using the tool, then Talend would be the preferred tool.
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.
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Scalability
Informatica
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.
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Return on Investment
Informatica
  • The data pipeline automation capability of Informatica means that few resources are needed to pre-process the data that ultimately resides in a Data Warehouse. Once a workflow is implemented, manual intervention is not needed.
  • PowerCenter did require more resources and time for installation and configuration than was expected/planned for.
  • The lack of or minimal support of unstructured data means that newer sources of dynamic/changing data cannot be easily processed/transformed through PowerCenter workflows.
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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.
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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.