Altova MapForce Server vs. Matillion

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Altova MapForce Server
Score 8.1 out of 10
N/A
Mapforce Server, from Altova in Beverly, is a data integration platform which the vendor states supports all major databases and data formats without extra-cost "connectors," and automates integration of any combination of XML, JSON, database, EDI, XBRL, flat file, Excel, and/or Web service data.N/A
Matillion
Score 6.3 out of 10
N/A
Matillion is a productivity platform for data teams. Matillion's Data Productivity Cloud helps data teams – coders and non-coders alike – to move, transform, and orchestrate data pipelines with the goal of empowering teams to deliver quality data at a speed and scale that matches the business’s data ambitions. The vendor states enterprises including Cisco,N/A
Pricing
Altova MapForce ServerMatillion
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Altova MapForce ServerMatillion
Free Trial
YesYes
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
Altova MapForce ServerMatillion
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Altova MapForce ServerMatillion
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Altova MapForce Server
-
Ratings
Matillion
7.3
126 Ratings
13% below category average
Connect to traditional data sources00 Ratings7.5125 Ratings
Connecto to Big Data and NoSQL00 Ratings7.085 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Altova MapForce Server
-
Ratings
Matillion
6.1
127 Ratings
30% below category average
Simple transformations00 Ratings6.7127 Ratings
Complex transformations00 Ratings5.5126 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Altova MapForce Server
-
Ratings
Matillion
6.9
119 Ratings
15% below category average
Data model creation00 Ratings9.133 Ratings
Metadata management00 Ratings9.140 Ratings
Business rules and workflow00 Ratings6.2111 Ratings
Collaboration00 Ratings4.0111 Ratings
Testing and debugging00 Ratings4.6112 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Altova MapForce Server
-
Ratings
Matillion
8.2
23 Ratings
1% below category average
Integration with data quality tools00 Ratings8.222 Ratings
Integration with MDM tools00 Ratings8.220 Ratings
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Altova MapForce ServerMatillion
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Score 9.7 out of 10
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Score 8.8 out of 10
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User Ratings
Altova MapForce ServerMatillion
Likelihood to Recommend
8.1
(2 ratings)
6.2
(128 ratings)
Likelihood to Renew
-
(0 ratings)
8.3
(6 ratings)
Usability
-
(0 ratings)
5.4
(127 ratings)
Support Rating
-
(0 ratings)
7.4
(7 ratings)
Implementation Rating
-
(0 ratings)
8.2
(1 ratings)
Product Scalability
-
(0 ratings)
5.3
(120 ratings)
Vendor post-sale
-
(0 ratings)
9.1
(1 ratings)
Vendor pre-sale
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
Altova MapForce ServerMatillion
Likelihood to Recommend
Altova
Altove Mapforce Server is a software that offers high performance at the server level when executing data mappings and offers even greater productivity by improving the automation of data mappings, it is a tool that offers the advantage of making use of functions that allow actions automated before or after mapping execution, is used because it provides up to 70 times faster performance.
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Matillion
Matillion is very easy to learn and develop quickly. It also allows complex orchestration on a visual platform. It has many ready-made components, and it is easy to develop new user components. Although Git integration needs some further development, it enables teamwork in the same project with the "Versions."
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Pros
Altova
  • Connecting to and mapping data from a variety of sources, including databases, XML files, and text files.
  • Transforming data from one format to another, such as XML to JSON or CSV to XML.
  • Generating output in a variety of formats, including XML, JSON, CSV, and SQL.
  • Running mapping jobs on a schedule or on demand.
  • Providing comprehensive logging and email notification.
  • Supporting multiple users and roles with security and permissions.
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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
Altova
  • Altove Mapforce Server is an enterprise software that performs data transformation and mapping on MacOS, Windows, Linux operating systems with seamless operation and flexible features that adjust to user needs, It offers high-level services such as bulk database inserts. data by reducing the processing load and achieving much faster performance.
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Matillion
  • 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
Altova
No answers on this topic
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
Altova
No answers on this topic
Matillion
Data modeling and SQL knowledge are still heavily recommended when using Matillion because designing a successful and maintainable data transformation requires modeling it with a developer mindset. The data transformation components are often a thin wrapper around SQL concepts, and they don't simplify life that much, IMO. An example is the window component, which cannot facilitate the complex concept of SQL windows just by exposing it to a different interface. On the other hand, low code ingestion is very good and usable, especially for GSheets, Salesforce, and others.
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Support Rating
Altova
No answers on this topic
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
Altova
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
Altova
Altova MapForce Server is a powerful data integration tool that supports a wide range of data sources and targets. Talend Data Integration is also a powerful data integration tool, but it does not support as many data sources and targets as Altova MapForce Server. Altova MapForce Server also supports a wide range of data transformation and mapping features, making it a more versatile tool than Talend Data Integration.
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Matillion
Matillion is much easier to set up and easier to work for the team. Offers a lot more connections which are easier to set up. Environment variables make it easy to set up once and job creation is easy. We use Metadata tables to just loop through the list of tables that need to be loaded. So development is just a matter of seconds when there are new tables to be loaded.
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Scalability
Altova
No answers on this topic
Matillion
The current connectivity is set to provide information primarily in one direction; from simpler OLTP systems to big data warehouses. Allowing the big data warehouses (e.g., Snowflake) to be used as a source for transmission elsewhere would be a big extension to the product line and provide more flexibility in architecture.
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Return on Investment
Altova
  • Altove Mapforce Server is an ETL and data mapping tool that performs mapping to all popular data formats and transformation between any combination of XML, JSON, Excel, and Web service data. It positively impacts my organization by helping us develop delivery notifications internally by converting data from one format to another.
  • A perfect platform for developers and IT professionals to map data from one format to another with security and speed.
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Matillion
  • Our embedded data analysts (data analysts that sit in a team outside of the Data team) all now use Matillion to create proof of concepts (POCs). This allows them to debug logic at a component level and quickly explore ideas without investing lots of time and effort.
  • Since the soft-announcement of ‘Data as a product’ (a beta launch) and demoing Matillion to some of our internal customers we’ve had a huge number of requests from people to get their hands on this new method of self serving data. We’ve yet to release the full product and make a company wide announcement, but early estimates show we can expect around 10-15% of the company to be onboarded and using Matillion as part of Data as a Product. Given the Data team only accounts for around 2% for the company's employees, that’s a huge increase in the number of people using and manipulating raw data!
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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.