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Matillion

Extract, transform, load platform for cloud data warehouses

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Matillion Pricing

Pricing overview

Value for money rating

Price starts from

$

2

Usage Based
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Vendor description

Pricing is available using Credits, starting at $2.00/credit. Matillion Credits are used to pay for the consumption of Virtual Core hours while running Matillion ETL instances. One Matillion Credit equals one Virtual Core hour. Annual pricing is also available. Please contact Matillion for additional information.

What users say

Overall it is user-friendly, easy to develop & deploy, secure ELT for big data use cases. It supports a lot of already built useful connectors, which helps to reduce marketability cost and time.

AR

Anonymous Reviewer

When they eventually respond to messages it is with an unhelpful response. Generally they will blame us for issues on their end, or they misunderstand the problem completely.

EC

Ellis C.

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Reviewers who mentioned pricing said:

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend8/10

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Solution that works fine for almost all applications

Reviewed 3 years ago

If you really use your data and work on a daily basis with your data warehouse you should consider using Matillion. We had no downtimes and the service is brilliant. We connected all of our data sources and it works really well. But it got its price. Compared to other solutions the pricing is good for growing businesses.

Pros

Connectivity Really good customer service Individual solutions if necessary No downtimes Hosted on Amazon

Cons

Pretty expensive A bit hard to set up initially

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend8/10

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Great product, highly recommend it

Reviewed 3 years ago

We needed to easily get data from multiple sources into snowflake. From there we needed to be able to transform it into meaningful information, Matillion quicker, easier and cheaper than all of the other products we reviewed.

Pros

ELT rather than ETL So many data sources Easy to use Fast to learn Very helpful fast support Lovely people to deal with

Cons

Built using java, so memory leaks... I'd like to be able to use different EC2 types, maybe an R rather than an M There could be more/better instructions around some of the components I'd like them to provide a few more patterns.

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend10/10

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Just started using Matillion this week

Reviewed 5 months ago

Overall experience with Matillion has been great. The first call with [SENSITIVE CONTENT] set the tone of who and what Matillion can offer our company. [SENSITIVE CONTENT] was kind, not pushy, relatable, and truly tried to understand our use case. [SENSITIVE CONTENT] really sold us on proceeding with a demo after sharing some of the functionality of the MDL tool available for free in AWS marketplace....

Pros

Matillion is incredibly easy to deploy in AWS. In addition, the security and compliance aspects are all handled on the customer side due to the deployment method. The UI is easy to use and the price point was the most competitive.

Cons

We haven't used it enough to encounter negative aspects yet but having to pay for the full amount of time the VM is up is going to be cost prohibitive for our small team.

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend8/10

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Matillion Review

Reviewed 3 years ago

Matillion is a great out of the box product with minimal requirements. You spin the machine up, allow your database's firewall to communicate with Matillion. Start creating jobs, schedule them, and sit back. It helps you focus on visualizing your data.

Pros

It is a pay for what you use type of software. Most other ETL platforms are a flat monthly fee, sometimes at crazy prices. The pay for what you use model makes it easy to justify cost to leadership. You can schedule jobs to make sure you maximize your time.

Cons

The user experience feels a little dated. Some things could be better displayed/ explained.

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend8/10

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Reliable and feature rich

Reviewed 3 years ago
Pros

Incredibly flexible for teams working with large, complex data sets

Cons

The recent changes in pricing isn't ideal for smaller companies

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend8/10

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A Great Cloud-based Tool

Reviewed 3 years ago

I like it overall. It is easy to quickly learn and get up to speed. It is made to work in the environment I'm working in (AWS) and has a nice, clean browser-based interface to build and schedule jobs in EC2. Email-based support is responsive. However, I sometimes feel it is too expensive compared to alternatives for the value it adds and the ELT model, while beneficial in many ways, hamstrings the component feature-set.

Pros

Well integrated with AWS. Great browser-based interface. Develop in the same place where the code will run, as opposed to other solutions I use that develop in Windows and run in Linux. Easy to schedule.

Cons

I have mixed feelings on the overall value. The hourly rate really adds up over time. This is probably my biggest misgiving. Otherwise, I sometimes get frustrated with the ELT model because it means if the feature you need isn't supported within Redshift, it's up to you to create Python scripts or Bash scripts to enable it.

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend10/10

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Very productive toolset

Reviewed 5 months ago

We are using it to do the extract load and transfer for our data warehouse

Pros

- Quick to start - Consumption based model - Works well with Snowflake

Cons

- Harder to find resources with skills - Cost relatively higher

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend7/10

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For AWS one of the best tool to go for

Reviewed 3 years ago

We are using Matillion to process real-time data

Pros

Ease of deployment Migration Multiple users Pay as you go - cost saving

Cons

Software updates cause sometimes an error

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend8/10

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Using Matillion with AWS Redshift

Reviewed 3 years ago
Pros

Easy to understand and follow processes. Easy to pass variable values between jobs. Works well with Redshift and S3.

Cons

Use of API's can be a little confusing to setup/configure.

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend8/10

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enexis case

Reviewed 3 years ago
Pros

cloud product, GUI for ETL, responsiveness supplier, scripting & parameters, performance, ETL features, mature product knowledgeable and responsive help desk

Cons

Struggle with load balancing -> product seems not mature enough Costing Snowflake icw Redshift

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend8/10

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Matillion is the lead in ETL space.

Reviewed 3 years ago

Matillion's cloud model is leading the trend in this industry. It's cost effective and manageable.

Pros

Matillion is the most reliable ETL/ELT tool currently. I've worked with a larger number of clients that have uses Matillion as well as other tools and Matillion is definitely the most reliable. The UI is easy to follow and understand and the learning curve is small.

Cons

The technology isn't as intuitive as others in the space. It does require some training or knowledge of workflow development though it's the most reliable.

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend8/10

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Matillion is an Easy To Leverage (ETL) solution!

Reviewed 3 years ago
Pros

- Easy to orchestrate an ETL pipeline - Integration with Redshift and other AWS services provides convenience - Support team is easy to reach and have relatively quick response times - They also support the other 2 popular cloud data warehouses, Snowflake and BigQuery - Some components are available out to the box for easy integration - Task history is useful for debugging and monitoring current state of ETL pipelines - A GUI is provided for implementing complicated workflows, that can be easily followed

Cons

- Since it's mainly GUI based, it becomes difficult for data engineers to compare changes between old and new versions of an ETL. - There are hard limitations for the number of concurrent users. This is part of the pricing model which is the reason. - Integration with GIT is not yet available but we heard that it would be coming in the near future.

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend5/10

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Extremely easy to use, but hits hard limits when dealing with lots of data

Reviewed 3 years ago

Overall experience isn't so great for the price we pay. Because of our hard limits we have to pay for two instances in order to handle our job loads. That wouldn't be a problem if we were able to scale the EC2 instance the software sits on. It makes no sense why an application has a specific hardware limits. Surely if we can spin up two separate instances to run concurrent jobs that are unrelated to each other, the same principle can be applied when scaling up with more cores/memory etc.

Pros

The ease of use is definitely the strongest aspect of Matillion. The GUI is exceptionally intuitive and even though the application flow speaks for itself, the documentation is also great for additional support.

Cons

You can hit a hard limit quite fast with the hardware when working with concurrent jobs running (Java Heap issues etc). You cannot increase the size of the instance (m4.xlarge) which means it becomes increasingly difficult to optimize. We are always trying to find work-arounds with the amount of data we need to load.

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend9/10

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Matiilion - Cloud based, scalable, available ELT for Big data

Reviewed a year ago

Overall it is user-friendly, easy to develop & deploy, secure ELT for big data use cases. It supports a lot of already built useful connectors, which helps to reduce marketability cost and time.

Pros

1) Easy to use 2) Several ingestion integrations 3) Custom RDBMS ingestion support 4) Robust transformation and Orchestration components

Cons

No availability of change data capture feature for many databases

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend5/10

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Initial Feedback

Reviewed 3 years ago

Its helping us build a data warehouse for visualizing debt and customer segmentation in our business. It means we are getting real insight into our business. Thank you!

Pros

User interface and range of connections. Powerful capabilities. Compatibility with AWS

Cons

Licensing is not flexible, Why cant you specify the number of concurrent users for a given instance? It comes with a fixed amount, if you don't like it, update to a much large and expensive instance that we do not need.

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend6/10

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Great for pipelining data to warehouse/lake, not getting it back

Reviewed 3 years ago

It was easy to get set up, and it worked great for pushing data into Snowflake as a data warehouse. However, we quickly realized that we would need yet another tool to get the data back out to the source systems to synchronize/integrate it. We could sort of do it with Matillion, but it required a lot of custom programming and was not very intuitive. We ended up using a different iPaaS tool that could handle traffic/integration in both directions.

Pros

It is extremely fast and easy to pull data from various sources and pipe it into Snowflake. The graphic interface lets this happen without programming.

Cons

There is almost no ability to get data back from your warehouse into the other systems to synchronize the data. It's great to have it all in the warehouse, but it seems pretty critical to have that data flowing back to other systems that are part of your environment. The pricing model is frustrating. You are billed for when the machine instance is ON, not when it is actively doing something. So, if you have a couple hours of job that run in a day, you have to shut down the machine to save money the rest of the day. With it shut down, development can't happen. So, we had to turn it on and off all the time. It would be much better if they billed as it is used, not as it is on.