Informatica PowerCenter (legacy) vs. Matillion

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Informatica PowerCenter (legacy)
Score 8.1 out of 10
N/A
Informatica PowerCenter was data integration technology designed to form the foundation for data integration initiatives, application migration, or analytics. It is a legacy product.N/A
Matillion
Score 6.9 out of 10
N/A
Matillion is a data pipeline platform used to build and manage pipelines. Matillion empowers data teams with no-code and AI capabilities to be more productive, integrating data wherever it lives and delivering data that’s ready for AI and analytics.
$2.50
Pay as you go per user
Pricing
Informatica PowerCenter (legacy)Matillion
Editions & Modules
No answers on this topic
Developer: For Individuals
$2.50/credit
Pay as you go per user
Basic
$1000
per month 500 prepaid credits (additional credits: $2.18/credit)
Advanced
$2000
per month 750 prepaid credits (additional credits: $2.73/credit)
Enterprise
Request a Quote
Offerings
Pricing Offerings
Informatica PowerCenter (legacy)Matillion
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 PowerCenter (legacy)Matillion
Considered Both Products
Informatica PowerCenter (legacy)

No answer on this topic

Matillion
Chose Matillion
Matillion is affordable, easy to use with a graphical interface
Chose Matillion
In my opinion Matillion provides more flexibility then the other tools I mentioned.
Chose Matillion
Removes most of the complexity around setting up and preparing things.
If you could describe with words what needs to be done to move data from A to B, the implementation in Matillion would probably be the most similar in terms of simplicity of understanding what you are doing …
Features
Informatica PowerCenter (legacy)Matillion
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Informatica PowerCenter (legacy)
8.5
18 Ratings
2% above category average
Matillion
7.8
135 Ratings
7% below category average
Connect to traditional data sources9.018 Ratings7.9134 Ratings
Connecto to Big Data and NoSQL8.014 Ratings7.794 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Informatica PowerCenter (legacy)
7.5
18 Ratings
9% below category average
Matillion
7.0
136 Ratings
16% below category average
Simple transformations8.018 Ratings7.5136 Ratings
Complex transformations7.018 Ratings6.5135 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Informatica PowerCenter (legacy)
8.2
18 Ratings
3% above category average
Matillion
7.5
128 Ratings
5% below category average
Data model creation9.015 Ratings9.133 Ratings
Metadata management8.016 Ratings9.140 Ratings
Business rules and workflow9.018 Ratings7.4119 Ratings
Collaboration6.116 Ratings5.6120 Ratings
Testing and debugging9.017 Ratings5.8121 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Informatica PowerCenter (legacy)
9.0
15 Ratings
10% above category average
Matillion
8.2
23 Ratings
0% above category average
Integration with data quality tools9.015 Ratings8.222 Ratings
Integration with MDM tools9.013 Ratings8.220 Ratings
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User Ratings
Informatica PowerCenter (legacy)Matillion
Likelihood to Recommend
8.0
(21 ratings)
6.9
(137 ratings)
Likelihood to Renew
10.0
(4 ratings)
8.6
(6 ratings)
Usability
9.0
(3 ratings)
6.5
(136 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)
6.4
(130 ratings)
Vendor post-sale
-
(0 ratings)
9.1
(1 ratings)
Vendor pre-sale
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
Informatica PowerCenter (legacy)Matillion
Likelihood to Recommend
Discontinued Products
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
In a fast-growing startup-like environment, you’d want a graphical user interface representation of all your data work instead of using tools like Airflow. It’s good to deal with many ad hoc tasks, including in-house and external APIs, data lakes, and data warehouses. It’s also cheaper.
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Pros
Discontinued Products
  • 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
  • Matillion has a rich transformation library. It provides multiple functionalities, such as join, group by, pivot, various sources, and sinks.
  • It provides the security capability as well. All the credentials can be securely stored in Matillion.
  • Reusable templates can be built which reduces the redundancy.
  • Time to production is very minimal.
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Cons
Discontinued Products
  • 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
  • Matillion is brilliant at importing data -- it would be amazing to have more ways to export data, from emailed exports to API pushes.
  • Any Python that takes more than a few lines of code requires an external server to run it. It would be great to have more integration (perhaps in a connected virtual environment) to easily integrate customized code.
  • Troubleshooting server logs requires quite a bit of technical expertise. More human readable detailed error handling would be greatly appreciated.
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Likelihood to Renew
Discontinued Products
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
Discontinued Products
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
We are able to bring on new resources and teach them how to use Matillion without having to invest a significant amount of time. We prefer looking for resources with any type of ETL skill-set and feel that they can learn Matillion without problem. In addition, the prebuilt objects cover more than 95% of our use cases and we do not have to build much from scratch.
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Performance
Discontinued Products
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
Discontinued Products
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
Discontinued Products
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
Discontinued Products
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
Fivetran offers a managed service and pre-configured schemas/models for data loading, which means much less administrative work for initial setup and ongoing maintenance. But it comes at a much higher price tag. So, knowing where your sweet spot is in the build vs. buy spectrum is essential to deciding which tool fits better. For the transformation part, dbt is purely (SQL-) code-based. So, it is mainly whether your developers prefer a GUI or code-based approach.
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Scalability
Discontinued Products
No answers on this topic
Matillion
We're using Matillion on EC2 instances, and we have about 20 projects for our clients in the same instance. Sometimes, we're struggling to manage schedules for all projects because thread management is not visible, and we can't see the process at the instance level.
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Return on Investment
Discontinued Products
  • 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
  • Matillion has been the backbone of my company's analytical functionalities for 10+ years, so it has a good ROI.
  • The price is ok for what our company built with it, but it starts to be less competitive if the tool is not used at its fullest.
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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.