Informatica Enterprise Data Catalog vs Matillion ETL comparison

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Informatica Logo
2,171 views|1,515 comparisons
83% willing to recommend
Matillion Logo
3,247 views|2,215 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Informatica Enterprise Data Catalog and Matillion ETL based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Informatica Enterprise Data Catalog vs. Matillion ETL Report (Updated: May 2024).
771,170 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution scales well.""The product seems stable enough.""I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar.""The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application.""I rate the technical support a ten out of ten.""The metadata management of Informatica is great.""The most valuable feature of Informatica Enterprise Data Catalog is it provides clients with a full view of the enterprise data assets. For example, how many data assets they have and who owns them.""The way that the solution scans is very useful."

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"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth""It has good integrations with Amazon Redshift and other AWS services.""It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs.""Matillion ETL helps manage data movement, ingestion, and transformation through pipelines.""The loading of data is the most valuable feature of Matillion ETL.""The simplicity of this tool is nice. It has a good graphical user interface. You can also do a lot of generic stuff in the tool. If there is good connectivity to a cloud database, such as Snowflake, and you can have a lot of Snowflake functionality in the tool.""The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources.""It is pretty user-friendly, even for people who aren't super technical."

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Cons
"Currently, there are limitations in processing and the interface.""Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms.""IEDC can improve the comparison of lineages.""The solution is quite expensive.""The scalability is tough.""They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities.""It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen.""Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."

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"The cost of the solution is high and could be reduced.""Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves.""There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features.""The improvement area could be possible if the tool provides better integration capabilities with other ecosystems, including governance tools or data cataloging tools, as it is currently an area where the solution is lacking.""I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly.""I am looking forward to seeing the expansion of the source range for their data loader product.""The tool's lineage is very weak.""It can have multi-environment support. We should be able to deploy it in different environments. Its integration with SAP connection is not so nice, which should be improved. It can also support an on-prem database."

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Pricing and Cost Advice
  • "I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."
  • "I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
  • More Informatica Enterprise Data Catalog Pricing and Cost Advice →

  • "I have heard from my manager and other higher ups, "This product is cheaper than other things on the market," and they have done the research."
  • "It is cost-effective. Based on our use case, it's efficient and cheap. It saves a lot of money and our upfront costs are less."
  • "The prices needs to be lower."
  • "It was very easy to purchase through the AWS Marketplace, but it was also expensive."
  • "Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing."
  • "It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on."
  • "The AWS pricing and licensing are a cost-effective solution for data integration needs."
  • "It was procured through the AWS Marketplace because it keeps things simple. They offer retail-like checkout and bill through your existing Amazon Web Services account."
  • More Matillion ETL Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities.
    Top Answer:They could improve the product support for the Arabic language. Currently, there are limitations in processing and the interface itself regarding Arabic language support.
    Top Answer:We use the product for building static and automatic data lineages.
    Top Answer:The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.
    Top Answer:The pricing depends on what edition the customer opts for. For example, a standard edition and then business critical of different editions. Each of those has a different cost per unit, which is… more »
    Top Answer:One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems.
    Ranking
    1st
    out of 27 in Metadata Management
    Views
    2,171
    Comparisons
    1,515
    Reviews
    8
    Average Words per Review
    532
    Rating
    7.8
    4th
    Views
    3,247
    Comparisons
    2,215
    Reviews
    13
    Average Words per Review
    687
    Rating
    8.6
    Comparisons
    Also Known As
    Informatica EDC, Informatica Enterprise Information Catalog, Enterprise Information Catalog
    Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
    Learn More
    Overview

    Informatica Enterprise Information Catalog provides a machine-learning-based discovery engine to collect data assets across the enterprise while increasing the understanding of those data assets through a graph-based enterprise information catalog. Powered by Informatica’s unique metadata services engine, Enterprise Information Catalog enables business analysts and data stewards to find all types of data across the enterprise; discover relationships among them; enrich data with business glossary terms and crowdsourced annotations; and understand the provenance, quality, and usage of their data.

    Matillion ETL is a powerful tool for extracting, transforming, and loading large amounts of data from various sources into cloud data warehouses like Snowflake. Its ability to load data dynamically and efficiently using metadata is a standout feature, as is its open-source ETL with good performance and high efficiency. 

    The solution has a graphical interface for jobs, is easily adjustable and extensible, and allows for scheduling and error reporting. Matillion ETL has helped organizations move to a cloud-based solution, bridge the gap between on-premises and on-cloud, and perform complex migration projects.

    Sample Customers
    AIA Singapore, Mattel
    Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
    Top Industries
    REVIEWERS
    Computer Software Company29%
    Construction Company14%
    Insurance Company14%
    Manufacturing Company14%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company14%
    Manufacturing Company9%
    Government9%
    REVIEWERS
    Manufacturing Company33%
    Financial Services Firm33%
    Healthcare Company8%
    Computer Software Company8%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm14%
    Manufacturing Company8%
    Government8%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise8%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise9%
    Large Enterprise73%
    REVIEWERS
    Small Business22%
    Midsize Enterprise35%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    Buyer's Guide
    Informatica Enterprise Data Catalog vs. Matillion ETL
    May 2024
    Find out what your peers are saying about Informatica Enterprise Data Catalog vs. Matillion ETL and other solutions. Updated: May 2024.
    771,170 professionals have used our research since 2012.

    Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews while Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews. Informatica Enterprise Data Catalog is rated 7.6, while Matillion ETL is rated 8.6. The top reviewer of Informatica Enterprise Data Catalog writes "They listen to their customers, so if something is missing or not working, they will put it on their roadmap". On the other hand, the top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and Denodo, whereas Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and SSIS. See our Informatica Enterprise Data Catalog vs. Matillion ETL report.

    See our list of best Cloud Data Integration vendors.

    We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.