Informatica Enterprise Data Catalog vs Matillion ETL comparison

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Informatica Logo
2,187 views|1,543 comparisons
83% willing to recommend
Matillion Logo
3,350 views|2,263 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: March 2024).
768,246 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 metadata management of Informatica is great.""Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features.""The product seems stable enough.""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.""It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities.""The solution scales well.""The way that the solution scans is very useful.""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."

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"The product has a good user interface.""The product's initial setup phase was easy.""The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.""It has improved the costs of managing my customer’s data.""It has helped us to get onto the cloud quickly.""Matillion ETL helps manage data movement, ingestion, and transformation through pipelines.""We allow non-technical people to use Matillion to load data into our data warehouse for reporting. Thus, it is easy enough to use that we don't always have to get a technical person involved in setting up a data movement (ETL).""The most valuable feature of Matillion ETL is its user-friendly graphical interface."

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Cons
"It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen.""The solution is quite expensive.""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.""It is not easy to set up and configure the tool.""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.""IEDC can improve the comparison of lineages.""The scalability is tough.""The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."

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"I am looking forward to seeing the expansion of the source range for their data loader product.""The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine.""The cost of the solution is high and could be reduced.""Matillion’s on-premises capabilities don’t allow you to build something customized.""Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level.""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.""Ideally, I would like it to integrate with Secrets Manager as well as the AWS.""It needs integration with more data sources."

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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."
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  • "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 is more complicated to extract data using the product compared to Visio. The system could display the details on the screen. Additionally, they should add AI features and the capability to provide… more »
    Top Answer:We use the product for building static and automatic data lineages.
    Top Answer:It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth
    Top Answer:We pay $5.40 per EC2 running hour, and we can reduce costs by stopping and starting the EC2 instances strategically. For instance, in our production environment, we run it for sixteen hours a day… more »
    Top Answer:There's room for improvement in how it handles data streaming capabilities. Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes… more »
    Ranking
    1st
    out of 27 in Metadata Management
    Views
    2,187
    Comparisons
    1,543
    Reviews
    8
    Average Words per Review
    552
    Rating
    7.8
    4th
    Views
    3,350
    Comparisons
    2,263
    Reviews
    11
    Average Words per Review
    701
    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%
    Government8%
    Manufacturing Company8%
    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 Business19%
    Midsize Enterprise13%
    Large Enterprise68%
    Buyer's Guide
    Informatica Enterprise Data Catalog vs. Matillion ETL
    March 2024
    Find out what your peers are saying about Informatica Enterprise Data Catalog vs. Matillion ETL and other solutions. Updated: March 2024.
    768,246 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 "Great metadata management with more visibility and great technical support". 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.