I primarily use Matillion Data Productivity Cloud for ingest functions. In one client's case, we switched from typical AWS tools and changed all of the blueprints and architecture to use Matillion Data Productivity Cloud for ingesting information from GCP and reading SQL data.
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Utilize data systems securely and efficiently while connectivity issues require attention
What is our primary use case?
What is most valuable?
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations. Its integration with existing environments, utilizing security measures like VPN and VPCs, makes it a secure choice. However, its features are not notably different from other products in the market.
What needs improvement?
There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements. I raised this issue with Matillion's support, but the solution is pending with their research team.
For how long have I used the solution?
I have been working with Matillion Data Productivity Cloud for two years.
What do I think about the stability of the solution?
Matillion Data Productivity Cloud is stable and functions reliably as a product.
What do I think about the scalability of the solution?
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity. However, the limitation is the number of parallel jobs due to the direct relation to the cores on the machine.
How are customer service and support?
Matillion's technical support is excellent. They communicate effectively and respond quickly to all inquiries.
How was the initial setup?
The initial setup is straightforward. We completed the foundations process using Infrastructure as Code (IaC), which standardizes and simplifies the deployment process.
What was our ROI?
In terms of ROI, one client found that using Snowflake tasks was more cost-effective than Matillion's credits cost. Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
What's my experience with pricing, setup cost, and licensing?
While pricing can be an issue compared to other solutions, Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
Which other solutions did I evaluate?
In many cases, clients consider buying a product from the same hyperscaler for an end-to-end solution, such as Microsoft Fabric.
What other advice do I have?
While Matillion Data Productivity Cloud can be valuable, it is challenging to recommend due to its pricing and limited clientele in regions like Spain. Overall, I would rate Matillion as a six out of ten.
Which deployment model are you using for this solution?
On-premises
Good SaaS ETL Tool
What do you like best about the product?
Matillion's simple UI makes user comfortable to configure and easy to understand the flow. And it's well maintained configuration section is a big plus for this platform. So even new users can easily understand this platform's features and design. Additionally Matillion providing learning materials and courses for beginners to understand their tool and the topics in the course also few, because they teaching only necessary topics which can help beginners to work in their platform as a professional.
What do you dislike about the product?
Matillion doing good in their pathway of Data Engineering, but some drawbacks I have noticed is it's API limitations. Basically Matillion providing API to retrieve metadata from their system, but when it's come to Administrative API's which is something administrator access only features they not provided sufficient APIs for that. And one more dislike in it's designer console, some of the components are working as expected.
What problems is the product solving and how is that benefiting you?
Basically Matillion is a ETL tool which works as usual in the Data Engineering field. But apart from that it has many advantages related to Administrative features. They are having a hub which serves billing data in a decent way. Basically teaching a technology/tool to beginners is a big headache especially in Data Engineering, because here everyone is working on top of data only. If anything goes wrong then the whole production got trouble. So in this scenario Matillion solves the teaching in a simple way as they are providing courses to learn their tools and also they are providing free trials to practice the learning. This is a very good initiative from Matillion. And the courses also very simple and contains required details only about the tool. This will stop beginners to lead to confusions, because of required content.
It on e of the easy etl tool to learn.
What do you like best about the product?
Its more use in etl,elt,etlt process I used it for 4 years
What do you dislike about the product?
Its not afree tool that a diske in matillion.
What problems is the product solving and how is that benefiting you?
it transfer json data to table form.
Robust ETL Platform with Very Good Cloud Integration
What do you like best about the product?
What I like best about Matillion is its seamless integration with major cloud platforms like AWS, GCP and Azure. This is very user friendly platform for ETL. It's visual interface makes complex workflows look easier. It offers great scalability, making it suitable for big and small scale users. It helps to reduce the complexity of ETL Process with its no code working ability.
What do you dislike about the product?
One area where Matillion could improve is making complex data sources more streamlined for integrations. Also It's pricing model, It become much more expensive when data volume grows.
What problems is the product solving and how is that benefiting you?
Matillion simplifies the ETL process. It allows us to complete complex data pipelines without needing coding expertise. It solves the problem of transforming large data volumes from various sources and loading in cloud data warehouse with ease. It solves seamless integration with cloud platforms like AWS, GCP and Azure.
Matillion ETL: A powerful tool for Cloud Data Transformation
What do you like best about the product?
My overall experience with Matillion had been exceptional.It has a very easy to use and interactive interface.
It provides a large variety of pre-built connectors which helps in quickly and effectively executing complex data pipelines. Their customer support is also amazing.
It provides a large variety of pre-built connectors which helps in quickly and effectively executing complex data pipelines. Their customer support is also amazing.
What do you dislike about the product?
It is costly as compared to other ETL tools as it provides variety of features.
CICD compatibility is not good.
CICD compatibility is not good.
What problems is the product solving and how is that benefiting you?
It is helping me in Complex Data transformation and loading data from one cloud platform like AWS to other like Snowflake.
Used for data ingestion and has the CDC (Change Data Capture) component
What is our primary use case?
The solution is used for data ingestion from multiple sources to Snowflake and extract and load.
What is most valuable?
The solution's most valuable feature is the CDC (Change Data Capture) component.
What needs improvement?
Depending on the use case, the solution's pricing could be improved. Matillion ETL should include more enhanced capabilities for extracting data from the SAP systems.
For how long have I used the solution?
I have been using Matillion ETL for more than one year.
What do I think about the stability of the solution?
Matillion ETL is a highly stable solution.
I rate the solution’s stability a nine out of ten.
What do I think about the scalability of the solution?
Matillion ETL is a highly scalable solution because it is hosted on a cloud provider. So, that part is automatically taken care of. More than 100 users are using the solution in our organization.
I rate the solution’s scalability a nine out of ten.
How are customer service and support?
The solution's technical support team is highly responsive.
How would you rate customer service and support?
Positive
How was the initial setup?
Matillion ETL is a self-managed solution. Matillion deploys the tool. It's a SaaS offering that requires no extra deployment effort from our side. The solution can be deployed in a couple of minutes. Matillion's support team spun up the environment for us.
What was our ROI?
Since the solution is on the cloud and self-managed, your operational costs and admin efforts will decrease. The solution has saved around 15% to 20% of our operational costs.
What's my experience with pricing, setup cost, and licensing?
The solution's pricing is not based on the licensing cost but on the running hours when the Matillion instance is up and running. Its pricing model is different from the traditional pricing models of Talend or Informatica. The solution was not expensive for my use case.
I rate the solution’s pricing an eight out of ten.
What other advice do I have?
The solution's orchestration capabilities are pretty good. It does have an integration with DBT. I would recommend the solution to other users because it has a very clear roadmap with a good support system. The solution’s maintenance is done through an in-house team of three to four engineers.
Overall, I rate the solution an eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Great tool
What do you like best about the product?
Matillion is a game-changer for data teams. Its intuitive interface makes complex tasks simple, while its power handles massive datasets with ease. Data quality is top-notch, and scalability ensures it grows with your business. Plus, their support is excellent.
What do you dislike about the product?
Handling complex data transformations can be challenging. Costs can add up, especially at scale. Customization options feel limited. Locked into the cloud environment.
What problems is the product solving and how is that benefiting you?
Matillion saves me time by automating data tasks, improves data quality, and lets me get insights faster. Plus, it handles huge amounts of data without breaking a sweat.
Easy to use, scalable solution.
What do you like best about the product?
The ease of use as for the first beginning, as well as the scalability of the tooling. As a start up we could set up a end to end data platform very fast, which resulted in a well manageable data warehouse and integrations that update every day.
What do you dislike about the product?
There is some lacking functionality, but with the introduction of DPC this is covered.
What problems is the product solving and how is that benefiting you?
Data platform updating, we did not have a data platform (including ETL) in place before we started working with Marillion.
Matillion has all the flexibility and power we need to do the job first time
What do you like best about the product?
Built-in connectors to heaps of systems; ability to create custom connectors; active community and quick responses to forum questions
What do you dislike about the product?
Some components are a bit clunky; cloud version is not mature and lacks some features from the server-based version
What problems is the product solving and how is that benefiting you?
We can connect to our client datasources easily and pull down data; the natural integration with Snowflake is a huge plus
Matillion + Snowflake
What do you like best about the product?
I like the connectivity I have with running Matillion right on top of my Snowflake instance. It keeps the data secure, keeps the tech stack simple and now that Matillion has SAAS offering it's even better!
What do you dislike about the product?
The first line of defense for customer service is not great. Overtime I've learned where I need to go for answers but customer service definitely isn't it.
What problems is the product solving and how is that benefiting you?
They are doing a great job as my middleware. Grabbing data from one place and helping it get to the next. It's simple in context but profound in its need.
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