IBM webMethods vs. Matillion

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM webMethods
Score 8.7 out of 10
N/A
IBM® webMethods offers a hybrid, enterprise-grade integration platform as a service (iPaaS) that allows users to securely control applications, APIs, B2B and files across environments and locations.N/A
Matillion
Score 7.8 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
IBM webMethodsMatillion
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
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Offerings
Pricing Offerings
IBM webMethodsMatillion
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
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
IBM webMethodsMatillion
Features
IBM webMethodsMatillion
Cloud Data Integration
Comparison of Cloud Data Integration features of Product A and Product B
IBM webMethods
7.7
Ratings
4% below category average
Matillion
-
Ratings
Pre-built connectors8.00 Ratings00 Ratings
Connector modification9.00 Ratings00 Ratings
Support for real-time and batch integration8.00 Ratings00 Ratings
Data quality services7.00 Ratings00 Ratings
Data security features7.00 Ratings00 Ratings
Monitoring console7.00 Ratings00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM webMethods
-
Ratings
Matillion
8.3
Ratings
1% below category average
Connect to traditional data sources00 Ratings8.70 Ratings
Connecto to Big Data and NoSQL00 Ratings7.90 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM webMethods
-
Ratings
Matillion
6.9
Ratings
17% below category average
Simple transformations00 Ratings7.50 Ratings
Complex transformations00 Ratings6.30 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM webMethods
-
Ratings
Matillion
8.2
Ratings
3% above category average
Data model creation00 Ratings9.10 Ratings
Metadata management00 Ratings9.10 Ratings
Business rules and workflow00 Ratings8.30 Ratings
Collaboration00 Ratings7.20 Ratings
Testing and debugging00 Ratings7.40 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
IBM webMethods
-
Ratings
Matillion
8.2
Ratings
1% above category average
Integration with data quality tools00 Ratings8.20 Ratings
Integration with MDM tools00 Ratings8.20 Ratings
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IBM webMethodsMatillion
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User Ratings
IBM webMethodsMatillion
Likelihood to Recommend
9.0
(0 ratings)
7.8
(0 ratings)
Likelihood to Renew
-
(0 ratings)
8.6
(0 ratings)
Usability
-
(0 ratings)
7.0
(0 ratings)
Support Rating
-
(0 ratings)
7.4
(0 ratings)
Implementation Rating
-
(0 ratings)
8.2
(0 ratings)
Product Scalability
-
(0 ratings)
7.2
(0 ratings)
Vendor post-sale
-
(0 ratings)
9.1
(0 ratings)
Vendor pre-sale
-
(0 ratings)
9.1
(0 ratings)
User Testimonials
IBM webMethodsMatillion
Likelihood to Recommend
With its world-class proven technology, the IBM webMethods products are best suited for solving integration needs, including application connectivity, data aggregation, and data synchronization. The business use cases expand across Healthcare, Aviation, Banking, Insurance, etc., and many other mission-critical systems. Though I feel there is room for improvement where webMethods products are utilized in a containerized platform, especially with the API Management suite of products.
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Great: Need to query simpler APIs, or utilize well known services such as GSheets etc.? Matillion has got some of the best and easiest to use connectors out there. Not so great: Do you need have a competent CI/CD flow that you will be able to update / compare from Matillion as well as other sources at the same time? Good luck, you will need to be extra careful, as you might have to have a deeper dive into your servers Terminal each time you have a git conflict.
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Pros
  • Translate the data into required format based on system
  • Handles good amount of load and tranefer data into chunks and very much accurate
  • Administration is very easy and easily understable and it has goos secuity features
  • Schedulers works well for pub/sub message pulling and pushing
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  • The user interface of your data pipelines makes it easier for people who aren’t as techy as data engineers to observe what's going on.
  • Customer support is quick, not always as efficient as you would want it to be, but still.
  • Nice documentation available.
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Cons
  • Clarifying the ongoing and near future roadmap developments in terms of capabilities and architecture
  • Merging features, patterns and platform tooling with the rest of the Cloud Pak for integration toolkit
  • Adding additional support for AI-driven development, low-/no-code features, and code assistant features
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  • Static and monolithic, it will show its limits when running multiple concurrent jobs.
  • Github and versioning implementation is messy and broken. Don't use it.
  • There's not way to see/query the system resources, just wait for a server to crash due to out of memory. An admin panel would be appreciated + some env variables with updated info.
  • API implementation is cumbersome and limited.
  • There's no concept of hub and worker engine, everything happens of the same server (designing workflows and executing them). Having separate light ETL engines to run job could be better. (sort of docker/kubernetes/lambda functions).
  • Handling of variables is limited especially for returned values from sub components.
  • Some components could return more metadata at the end of their execution instead of the standard one.
  • Billing is badly designed not taking into account that the server is hosted by the client. Expensive.
  • We had several issue with migration where starting a new instance was required and then migrating the content. It was painful and time consuming also have to deal with support and engineering team on Matillion side.
  • CDC doesn't work as expected or it is not a mature product yet.
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Likelihood to Renew
The webMethods platform is a fantastic tool for modernizing information systems. It's easy to use and delivers rapid results.The platform is focused on innovation and is accelerating its improvement with the acquisition by IBM.
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Matillion is easy to use and flexible to debug. Performance are good and support is giving us a good service level. There are still some technical points to be developed more (such as SAP extraction). but easy flows are really fast to be developed. We are also using a tool for migration from other tools, and it is useful as Matillion is producing XML code.
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Usability
The webMethods product has a very user-friendly and easy-to-use interface.A weak point is the My webMethods Server portal (administration and monitoring portal for the on-premise platform). This weakness has been addressed thanks to the control plane on the hybrid version of the product. This version should be highlighted and used to ensure a very fluid and functional interface.
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Easy tasks are really easy, and complex tasks are still possible. With prior knowledge of general data warehousing principles and experience with other data transformation tools, it's straightforward to get familiar with and use Matillion. I initially used minimal external support from a partner for some more complex tasks but very soon could work entirely independently with Matillion.
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Reliability and Availability
The webMethods platform is very stable and does not cause incidents: if it is well configured and tailored at the base. Infrastructure incidents represent 20% of incidents (full disk, memory peaks, etc.) 80% of incidents come from the implementation of the code in the platform. If a code is not optimized and a high volume is observed in production, this can cause incidents. Similarly, if all error cases or conditions are not handled in the code, this can cause errors. Finally, there can be common errors if the applications connected to the platform do not return quality data or are unavailable.
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No answers on this topic
Performance
The webMethods platform is designed to handle a high volume of small messages. It's a tool for continuous processing.The incidents I've seen involving application performance declines are caused by: - ​​Code optimization issues - File size issues or fragmentation of the transmitted file - Misuse of the platform (batch processing) - Monitoring data was not purged, and the user was working with millions of data points
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No answers on this topic
Support Rating
In the majority of the tickets I've created, support has been very responsive and provided the right solutions or solutions.Resolving a ticket also depends on the information provided by the creator. It's important to provide the technical context and information about the environment, as well as information to help the support team reproduce the incident.
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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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In-Person Training
We received in-person training from the webMethods team. We received standard training from the vendor and custom training on specific security topics.The training sessions went well but remained very standard and did not adapt to the client's specific business. In-person training is more suitable for rapid skill development. It is necessary to practice for a few weeks to ensure familiarity with the tool.
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No answers on this topic
Online Training
I found clear and easy-to-follow training with realistic use cases for quick understanding and a 360° view of the features. The lesson format allows you to progress and learn by breaking down the allocated time.The technical courses are described step by step, allowing you to quickly get to grips with the products
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No answers on this topic
Implementation Rating
When implementing webMethods, it's essential to have the right support and guidance.It's important to map out the interactions, document them, prepare test cases, and implement them while making maximum use of the product's native features.Additional tools must also be planned to automate deployments, visualize logs, and monitor the platform.
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We were able to control on access and built various enviroment for implementation
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Alternatives Considered
The two branches of the IBM integration portfolio are coming together nicely, and it's more a question of fully mapping the specific implementation requirements to the respective platform of choice when selecting between IBM Cloud Pak for Integration and IBM webMethods. Pricing and licensing model, cloud strategy, and level of distributed responsibilities and ownership of integration in the organisation can be deciding factors.
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We selected Matillion primarily because of it's ability to connect to numerous data sources and easily create transformation jobs. While Fivetran does a better job managing and examining deltas, it is not easy to use and is very non user friendly. SSIS was not a good fit for our team and required a significant amount of attention and server management that we did not want to invest in.
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Scalability
I don't know this product
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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
  • webMethods.io Integration is a cost effective approach to integration in isolation
  • webMethods.io Integration as a supplement to on-premises integration is pointless and redundant and just adds complexity to the environment and additional costs
  • webMethods.io Integration is a tough sell for organizations using Microsoft Azure integration products such as Logic Apps
  • webMethods.io Integration has a faster time to market where the use case means standard provided adapters can be used
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  • Time savings -- we could custom code nearly everything Matillion does, but it would take days/weeks instead of minutes/hours.
  • There's a bit of a learning curve to truly unlock Matillion's potential, and that can be frustrating for some new users, but once you get over that curve, the possibilities are endless.
  • It allows us to centralize the hundreds of way to bring data in, so that even if you have to troubleshoot what someone else wrote, it's easy to jump in and understand what is happening.
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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.