CloverETL vs Matillion ETL comparison

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278 views|243 comparisons
100% willing to recommend
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3,247 views|2,215 comparisons
95% willing to recommend
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Executive Summary

We performed a comparison between CloverETL and Matillion ETL based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration.
To learn more, read our detailed Cloud Data Integration Report (Updated: April 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use.""Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages.""No dependence on native language and ease of use.​​""Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."

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"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 takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies.""The technical support treats us well. They already have a support portal, and they are responsive, which helps.""The most valuable feature of Matillion ETL is its ease of use. If you have had some experience with other solutions, such as Snowflake, the use of this solution will be simple.""It has improved the costs of managing my customer’s data.""Matillion ETL has great Git integration that is perfect and convenient to use.""The most valuable feature of Matillion ETL is its user-friendly graphical interface.""It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"

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Cons
"Needs: easier automated failure recovery; more, and more intuitive auto-generated/filled-in code for components; easier/more automated sync between CloverETL Designer and CloverETL Server.""​Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough.​""Its documentation could be improved.​"

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"While the UI is good, it could be improved in its efficiency and made easier to use.""To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful.""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.""Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more.""Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion.""I am looking forward to seeing the expansion of the source range for their data loader product.""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.""Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."

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Pricing and Cost Advice
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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."
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    Top Answer:The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.
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    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
    61st
    out of 101 in Data Integration
    Views
    278
    Comparisons
    243
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    4th
    Views
    3,247
    Comparisons
    2,215
    Reviews
    13
    Average Words per Review
    687
    Rating
    8.6
    Comparisons
    Also Known As
    Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
    Learn More
    Overview
    CloverETL is a rapid, end-to-end data integration solution. Businesses choose CloverETL for its usability and intuitive controls, along with its lightweight footprint, flexibility, and processing speed. Achieving true, rapid data integration means much more than just raw data processing power. Rapid refers to an end-to-end process that begins the moment a data-related problem is recognized to the point when the data is in the right place and form to be analyzed and monetized.

    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
    IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA
    Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
    Top Industries
    No Data Available
    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
    No Data Available
    REVIEWERS
    Small Business22%
    Midsize Enterprise35%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise13%
    Large Enterprise68%
    Buyer's Guide
    Cloud Data Integration
    April 2024
    Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: April 2024.
    770,292 professionals have used our research since 2012.

    CloverETL is ranked 61st in Data Integration while Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews. CloverETL is rated 7.0, while Matillion ETL is rated 8.6. The top reviewer of CloverETL writes "Provides wealth of pre-defined, customizable components, and descriptive logging for errors". On the other hand, the top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". CloverETL is most compared with SSIS, Talend Open Studio and iWay Universal Adapter Framework, whereas Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and SSIS.

    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.