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Matillion

Matillion

Overview

What is Matillion?

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…

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Recent Reviews

in my opinion, Meh

1 out of 10
March 29, 2024
Incentivized
We are moving away from Matillion to MWAA Airflow with dbt.
Maintaining source control in github is important to us.

We have used Matillion …
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Matillion - Decent

6 out of 10
March 19, 2024
Incentivized
We use Matillion to schedule and run our ETL jobs. This helps our company to have accurate and timely data in order to make data-driven …
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Matillion Review

8 out of 10
February 07, 2024
Incentivized
We use Matillion for loading data from various sources into Snowflake Data Lake. We have data in various source systems such as SQL …
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How Matillion Differs From Its Competitors

Time to Value

One of the key strengths of Matillion is its user-friendly interface, which allows non-technical users to easily set up data integrations and transformations. The platform supports a wide range of data sources, including cloud-based databases, file systems, and APIs, making it an excellent choice …
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Time to Value

We have started doing some research about ETL tools since we decided to do not to develop it a house, and after talking with some colleagues and reading about Matillion, we decided to move it forward, and that was our time schedule: Research and ETL tools try 45 days Developing our project on …
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Cost Savings

The long term savings from Matillion have primarily come through decreased work hours associated with building, maintaining and trouble shooting ETL processes.
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Business Outcomes

Matillion's connection options are robust. We have been able to connect to many different database types, as well as build direct connections with our partner APIs.
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Onboarding

Maybe two weeks to get over the initial hurdle and then we were off to the races. For the most part Matillion is very intuitive, simple, and easy to implement.
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Time to Value

My learning curve was long. Matillion is simply not like any other ETL / ELT tool out there, because Snowflake isn't like other cloud databases out there. I had to first learn a different pattern of data movement and error checking. Next, I had to learn which components to use and when. There …
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Onboarding

a full year to get fully implemented. The onboarding was immensely painful given the documentation was lite and incorrect in many places. Many patterns of use I had to figure out for myself. At the time of implementation there was no developer community and the only company contact was through the …
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Time to Value

The internal communication and collaboration than the setup of Matillion, once the EC2 instance triggered, we were able to get started with transformation jobs within 1 hour.
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Time to Value

Matillion was implemented within one week in our organization for full functionality. Our company secured its deployment within this period of time and all our programs were able to run smoothly. The learning curve was easy to master and get it run as expected within a short period of time. Our …
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Time to Value

I started reading about Matillion and after one week and talking to their support team I started my project and it was up and running after 2 weeks of developing.
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Time Saved

Yes, after I started using Matillion our ETL process became much faster and we are running the instance on AWS only 1 or 2 hours per day which means we are not spending too much money but we are having many benefits once the process is much faster now and our visualization team can find the data …
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Cost Savings

Before Matillion we used to use software created by our own company which was already old to date and it was really hard for our new employees to get in of it. Using Matillion we are saving money on training for new partners and now we have a much more organized ETL environment.
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Business Outcomes

Yes. We don't have a lot of data sources but all of them we were able to connect smoothly and import our data easily.
As an example of our data sources I can mention, Relational Databases on AWS running SQL SERVER, we have some input from S3 (text files) and of course, some excel files.
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Onboarding

Matillion's implementation was really really easy and smooth, most of my questions I could find solve questions using their forum or sending them an e-mail which was replied to within 1 or 2 days. Their documentation about all the components I consider complete and with good examples of how to …
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Time to Value

It took some days in order to figure out how to configure the environment and all the basic configurations. Writing simple jobs took a really short time to learn (hours), while in some other days I was able to prepare a full orchestrator. Parameters configuration is a little more complex and I had …
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Time Saved

We're using Matillion for ELT and processes are slower. It is a mix of Matillion efficiency and DB performance, but the total result is better than before. We are using a Large account and it is the right choice, while with the Medium size we weren't able to performe the same results and we had …
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Cost Savings

We are reading from many different sources. Extraction times are better than before and we found almost all the connectors we needed and the support helped us to obtain the best extraction performance. Matillion costs are coherent with the usage, and it is useful that we are not paying when the …
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Business Outcomes

We were able to connect all data source, but we had some issues with SAP: the native Netweaver connector do not allow to read SAP tables in join, as the 2 tables are loaded in memory and the join is apply at the end. Therefore we had "out of memory" issues with this strategy. But we could find …
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Onboarding

Matillion is really easy to use, so we were able to start writing our flows easily. The activation is still easy, but you need to have some tech skills to work with putty and install what is missing (specific ODBC etc). For these aspects we moved questions directly to Matillion's support and the …
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Time to Value

Within a month of getting Matillion we had an established pipeline that was extracting data from the company's application database and updating the corresponding data in the warehouse. Additional data source (e.g. Salesforce and Netsuite) were quick to implement (c. 2 weeks per data source) …
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Time Saved

Yes we did. It was possible to update the data warehouse database every 3-4 hours instead of every 24 hours. In addition, and perhaps more importantly, it provided a more stable ETL process. The previous one was prone to breaking/failing and Matillion provided a more reliable process and one that …
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Cost Savings

In terms of infrastructure costs, our costs have gone up using Matillion. Historically we used AWS DMS to clone the production database into a Postgres database. This old process, however, was prone to issues and failures, e.g. when the production database was updated with new column(s)/table(s) …
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Business Outcomes

We were able to connect to our main data sources using Matillion (a MySQL database, Salesforce and Netsuite). Other data sources, that are API based and didn't have specific components in Matiilion were more of a challenge at the time. Although API functionality has been improved since we …
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Onboarding

Onboarding was quick and relatively pain free. The team did have experience using Matillion prior to implementation which obviously helped. However, once the server was setup with the appropriate security groups to access data sources, building the Matillion jobs was straight forward and the UI …
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Time to Value

Proof of concept took a couple of weeks. Getting access to private SQL databases was a little fiddly as we needed to install some drivers which we would have expected to be installed as default, but once up and running, we have had no issues. Tweaking firewalls settings to allow Matillion access …
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Time Saved

Reports that took approximately 3 hours to pull together and performed on a manual monthly basis were handled automatically and daily in a matter of minutes. These manual reports were pivots in Excel and were pushing Excel to its limit (Excel would freeze). There was a lot of data being shifted …
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Cost Savings

As it was automating a manual process, the savings were more in terms of saving resource. Automating has also opened up the report to more internal users.
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Business Outcomes

We are able to connect our bespoke systems and third party systems. One that proved quite difficult was the Xero connector. Although hooking up with Matillion was straightforward, the data Xero connector was not provided the data we needed so are looking at our ETLs for this this specific issue.
Mor…
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Onboarding

The project has been stop and start over a couple of years. We moved from AWS Matillion to Azure Matillion but it is now stable and pulling various sources in reliably. Setting up success/failure notifications has been key.
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Time to Value

I watched training and example videos/seminars for about two weeks before getting an instance set up for the company. And from there, I had a usable workflow going within another week.
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Time Saved

Yes, Matillion allowed for daily schedules to provide updated data for reporting at the same time each morning. It also removed any need for manual data updates.
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Business Outcomes

Yes, Matillion allowed for connections to all SQL based data sources via JDBC, all files from FTP sites, and all REST API sources. It simplified all of the different data pipelines and allowed for more interaction between them.
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Time to Value

Matillion being ELT cloud tool offers easy to implement which requires an AWS EC2 instance and licensing.
Training on Matillion and getting the development team on-board was quite a challenge. Would require immense experience to explore the core functionality of Matillion. Matillion was running …
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Time Saved

Yes, there were absoultely increased in reporting speed that our team was able to delivery. Intially we had our own scripting tool to generate result which took 2 weeks (around 80 hours of development time + testing time) whereas using matillion we were able to complete the development in 32-40 …
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Cost Savings

While moving away from legacy system towards matillion it offered some significant cost on matillion hosting and licensing part but we were able to save some on legacy system hosting but majority of saving where on people resource which was huge cost saver for our organization. along with that …
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Business Outcomes

Our organization work in digital marketing industry and matillion do provides lots of connector related to digital marketers. Matillion was able to solve 90% of our data sources connection problem but there were few of the rarer sources which matillion din't provide the connection to. Hopefully …
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Onboarding

Our team member had already the knowledge of other ETL tool in market which made us easier to transform to Matillion as ETL tool. Initally when there were more rigrous update on tool, it took us few months to understand all the different features of the product and use them. We used to reach out …
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Time to Value

We were able to get up and running with Matillion within a month. With no real training in the tool, we were able to develop useful jobs and an entire job framework on Matillion within that month. As we got more familiar with it, within three months, we were able to take advantage of additional …
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Time to Value

From the moment we bought it on AWS marketplace to connecting to our monolith database it took a matter of hours. Deciding the Redshift table structure we needed for storage actually took longer than the actual setup time! That is a definite plus for anyone who wants to get up an running as soon …
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Time to Value

To migrate an existing ETL solution from an old product to Matillion, will require a compete rework with some redesign. Estimate depends on the complexity required. Would estimate anywhere between 3-9 months.
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Time to Value

Within 2-3 weeks from starting Matillion, we had our first simple pipeline in production: extracting data from our operational database and putting it into data warehouse.
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Time to Value

Our initial POC demonstrated that migrating to Matillion was the logical next step for our organization. Our expectation had been six months to migrate our production loads from legacy tooling to Matillion. We were able to migrate complex production workflows, validate the result, and promote the …
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Time to Value

About 1 week which included hands on and looking at online documentation. Part of the delay was just getting access to internal company data.
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Time to Value

Used the trial edition initially and was able to set up an ETL process for production, which then started populating real reports in 6 weeks. Previous process was quite manual, a combination of Alteryx and Excel which took a lot of time.
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Time to Value

Took 1 day to deploy, get logged in, and connect to Redshift.

Took 1 month to make it useful in production, and 9 months in, I'm still learning features and quirks of Matillion.
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 11 features
  • Simple transformations (124)
    8.1
    81%
  • Connect to traditional data sources (122)
    7.7
    77%
  • Complex transformations (123)
    6.4
    64%
  • Testing and debugging (109)
    5.5
    55%

Reviewer Pros & Cons

View all pros & cons
Verified User
Employee in Information Technology
Consumer Services Company, 51-200 employees
Verified User
Team Lead in Engineering
Consumer Services Company, 201-500 employees
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Pricing

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Matillion

Matillion

N/A
Unavailable

What is Matillion?

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…

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://www.matillion.com/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Would you like us to let the vendor know that you want pricing?

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Fivetran

Fivetran

$0.01
What is Fivetran?

Fivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern companies using…

Astera Centerprise

Astera Centerprise

N/A
Unavailable
What is Astera Centerprise?

Centerprise Data Integrator is an integration platform that includes tools for data integration, data transformation, data quality, and data profiling.

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Features

Data Source Connection

Ability to connect to multiple data sources

7.6
Avg 8.2

Data Transformations

Data transformations include calculations, search and replace, data normalization and data parsing

7.3
Avg 8.4

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

7.2
Avg 8.1

Data Governance

Data governance is the practise of implementing policies defining effective use of an organization's data assets

8.2
Avg 8.2
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Product Details

What is Matillion?

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, DocuSign, Pacific Life, Slack, and TUI use Matillion to move, transform, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI.

Native integration with popular cloud data platforms such as Snowflake, Databricks, Amazon Redshift and Google BigQuery lets data teams at every skill level automate management, refinement, and data delivery for every data integration need.


Matillion Features

Data Source Connection Features

  • Supported: Connect to traditional data sources
  • Supported: Connecto to Big Data and NoSQL

Data Transformations Features

  • Supported: Simple transformations
  • Supported: Complex transformations

Data Modeling Features

  • Supported: Business rules and workflow
  • Supported: Collaboration
  • Supported: Testing and debugging

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.

Matillion Integrations

Matillion Competitors

Matillion Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
Supported CountriesGlobal
Supported LanguagesEnglish

Frequently Asked Questions

Talend Data Integration, Informatica Intelligent Cloud Integration Services, and Fivetran are common alternatives for Matillion.

Reviewers rate Data model creation and Metadata management highest, with a score of 9.1.

The most common users of Matillion are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(204)

Attribute Ratings

Reviews

(26-50 of 120)
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March 08, 2023

Matillion - easy to use ETL tool

Trupal Patel | TrustRadius Reviewer
Trupal Patel
Senior Software Engineer
Autodesk (Computer Software, 10,001+ employees)
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Scalability
8
Another key feature of Matillion is its ability to integrate with a variety of cloud platforms, including Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. This makes it an excellent choice for organizations that have adopted a multi-cloud strategy, as it allows them to easily manage their data across different cloud providers.
September 21, 2022

Matillion, a nice ETL tool.

Verified User
Analyst in Information Technology
Computer Software Company, 10,001+ employees
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Scalability
9
Matillion has a nice scalability capacity, and once it has been stored in our AWS cloud it makes it much easier to scale it on demand. The reason I'm not rating it as 10 is that there is no way to migrate or move it to another cloud in an easy way.
April 18, 2022

Build your own customized version of a Stitch and FiveTran-like data replication process, but better, faster and able to evolve with your needs

Jay Archer | TrustRadius Reviewer
Jay Archer
Manager of Data, Reporting, and Analytics
ReCharge Payments (Internet, 51-200 employees)
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Scalability
10
I've only had a handful of performance issues that are clearly in the realm of Matillion's logic. The vast majority of features and functions perform as if they are operating directly in the instance with the database with no overhead.
November 06, 2021

Most flexible and user-friendly ELT platform to support a modern data stack

Verified User
Engineer in Engineering
Restaurants Company, 501-1000 employees
Score 10 out of 10
Vetted Review
Verified User
Scalability
8
Overall I think Matillion is very flexible and scalable. The only thing Matillion could improve on is a serverless backend to handle heavy compute workflows rather than an EC2 instance. At that point, I feel it's basically the SNOWFLAKE of ELT tools.
August 02, 2021

Data Integration and transformation platform

Austin Lee | TrustRadius Reviewer
Austin Lee
Data Scientist
Saggezza (Information Technology & Services, 501-1000 employees)
Score 9 out of 10
Vetted Review
Verified User
Scalability
10
The platform flexibility in data integration and transformation has enabled me to give it this rating. The performance from my view have been awesome and there is no complain from any department since we deployed it. The work across our organization and management of data increased our trust on Matillion. The platform operation across our organization has been very recommendable in data integration and offering solutions to any uprising challenge.
July 08, 2021

Ease and complete tool, I would suggest it!

Verified User
Consultant in Information Technology
Information Technology & Services Company, 501-1000 employees
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Scalability
8
I appreciate that you can execute every needed step without the necessity of creating a full orchestrator. Therefore, when developing many jobs, you can test and monitor each of them in an easy way. Sharde jobs are really useful when you want to simpify the development and standardize some common steps.
June 29, 2021

Matillion Review

Sudarshan Kothari | TrustRadius Reviewer
Sudarshan Kothari
Lead Analyst
iQuanti, Inc. (Information Technology and Services, 201-500 employees)
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Scalability
6
Scalability is only one of the things which we need to keep back of our mind. While using the product for more than 18 months, we have expanded our team from 2 users to 10 users and increased utilization, Matillion performance is not par with the expectation and maturity. We always encounter the Matillion broken or cool-down period too long.
November 30, 2020

Ease of Use and Reusability for Excellent ROI

MB
Matthew Burr
Sr. Data Engineer
HireVue (Information Technology and Services, 201-500 employees)
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Scalability
9
We don't have a particularly large volume of data (less than 200GB), but as we've added more and more data, we are able to fully reprocess our data in about 2.5 hours (vs. over 6 hours it used to take to incrementally process our data in our old ETL system). We're not even using the Enterprise version of the product; if we did, we would get even greater scale.
October 06, 2020

Beautiful UI and UX to compete with any ETL, but at a cost!

Adel Helal | TrustRadius Reviewer
Adel Helal
Tech Lead Engineer
Campaign Monitor (Marketing & Advertising, 201-500 employees)
Score 3 out of 10
Vetted Review
Verified User
Incentivized
Scalability
1
That is the one sticking point we have with Matillion. We have hit its hard limits and constantly face Java Heap space errors. Our recommendation from the support team was to spin up another new Matillion server which is a separate cost entirely, making it equivalent to buying two separate products off the shelf, rather than incorporating it into the one solution. One Matillion server is expensive enough, two is not feasible.
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