TrustRadius Insights for Matillion are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Graphical User Interface: Users have praised the unique and helpful graphical user interface, which has greatly assisted in easy debugging and navigation of widgets. The visually appealing design has been noted to enhance the overall user experience, allowing for intuitive data manipulation.
Hierarchical Structure: Reviewers have found the hierarchical structure beneficial for efficiently organizing projects and pipelines on the platform. This feature helps users maintain a clear overview of their data workflows, leading to better project management and organization.
Access Control & Collaboration: The ease of access control and sharing necessary access has been highlighted by users as facilitating quick collaboration within projects. Secure sharing functionalities ensure smooth teamwork among users, promoting seamless communication and productivity.
We use Matillion for data warehousing solution and building scalable and optimized pipelines to transfrom data. Also we use it to schedule the data pipelines to ensure the data refresh will happen on time.
Pros
Transform data
Inbuild toggles to use python and related libraries
Git integration
Cons
Task optimization
Memory optimization
Likelihood to Recommend
It is easy to understand and use. By simply drag and drop components we can build optimized and scalable pipelines for data warhousing solutions.
Matillion is used as the preferred ETL / ELT tool in our organization and has everything that we need for managing and maintaining our data warehouse in Snowflake. The built in connectors and integration with DevOps git makes pipeline creation very easy resulting in high productivity of Data Engineers. There is very detailed documentation available and Matillion support is very responsive. We have moved from a traditional on premise data warehouse to a cloud data warehouse and Matillion has made this transformation easy and sustainable.
Pros
Hundreds of connectors for easy integration with data sources
Integration with git repositories for version control and recovery of pipelines
Really good customer support
Cons
Major upgrades are frequent and require change freezes
Post upgrades, certain things require reconfiguration and fixing
Pay per hour is not the best billing mechanism as sometimes only a few minutes are needed to do some tasks
Likelihood to Recommend
Matillion is well suited to maintain and manage our layered architecture based on medallion architecture principles. It caters to most of the data sources we have in our organization and also it has version controlling and documentation capabilities built in. It also integrates nicely with cloud platforms, Azure in our case for secure connections with key vaults.
The only drawback it has is when we need real time data update as we cannot keep the VMs on all the time for cost control. But again it is not built for that purpose.
VU
Verified User
Consultant in Information Technology (1001-5000 employees)
As a digital company we do have several different B2B and B2C systems. Mostly their data is about the same but as anywhere else, nothing is unified. We use Matillion in order to load all of the different source systems and transform and unify the data. It fully empowers our DWH based on AWS redshift.
Pros
Using different type of sources
Simplify SQL statements by providing an nice UI
Team collaboration between the data engineers
Cons
Template system
Data inspection playground
Likelihood to Recommend
An overwhelming system landscape with different types of databases and APIs to deal with. For generating complex SQL statements and having them nicely displayed to a full overview.
VU
Verified User
Manager in Finance and Accounting (201-500 employees)
We use Matillion ETL as an orchestrator, source ingestor and partially as a transformation tool. We utilize its connectors to query multiple sources, organize these pulls into neat interconnected flows and run initial transformations. Additionally, we use the native Git integration to have a proper development pipeline with the CI/CD flow.
Pros
Easy to use orchestration and transformation components
A good amount of connectors for any occasion
Flexibility to create custom flows
Cons
Niche limitations on some connectors
Poorly documented connectors
Lack of features in connection to the native Git integration
No cache clearing options
Likelihood to Recommend
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.
We have a snowflake cloud data platform setup which host data from wide variety of sources and we rely on Matillion ETL to bring data from source into snowflake. Matillion gives us flexibility to connect to wide variety of sources and we built automation using Matillion and bring data into snowflake to further give business insights.
Pros
Wide variety of connectors
Easy to build Orchestration Jobs
Minimul maintenance
Cons
More target connectors to load data into other applications
Improve on Memory optimization
Improve API Connectivity configurations
Likelihood to Recommend
Matillion is a good orchestration tool to build automated ETL Pipelines and has wide variety of connectors. They offer connections to different cloud platforms. It has various connectors available which can be used to fetch data from multiple sources into different cloud data warehouse. Its a modern cloud ELT platform. Its not that great for large data loads.
VU
Verified User
Engineer in Information Technology (1001-5000 employees)
I use Matillion to ingest data from API sources for our POS, Inventory management system, audits and Reviews platform. The business problems that I solve are relating to sales, finance, inventory count and audit scores. All the transformation for our raw data also occur inside Matillion before loading data into the data marts
Pros
Custom API integration
Transformation
Orchestration
Pipeline logs
Cons
Change data capture
Incremental data loading
Custom API data types
Likelihood to Recommend
It is very well suited for custom API integrations and orchestrating pipelines. More built in connectors could also help. For data transformation, dbt type format which is very suitable for sql users is missing. Overall, i think Matillion is great for quick and easy pipeline orchestration and complex data transformation
Matillion ETL is used by us to create the data pipelines to extract the data from the clients source systems and ingest it into snowflake and perform some transformations within the pipeline. Even after inserting the data to the raw layer in snowflake we create some pipelines to read the data from the raw layer and transform it for some reporting purposes and insert it into consumption layer for bi tool to read the data from there.
Pros
data ingestion from various sources
tansforming the data
easy to use
saves time and efforts
Cons
git integration needs to be improved as it stores JSON file
credit cost should be based on processing time
Likelihood to Recommend
wherever there is a need of extracting the data from multiple sources and loading the data in any data warehousing tool while performing certain transformation during the pipeline run and you don't have much coding expertise and need to save the time and efforts then Matillion is the best suited tool to do that.
VU
Verified User
Engineer in Information Technology (501-1000 employees)
Matillion ETL is being used by our datamanagement team for the ingestion of data from our organisation into the datawarehouse in Snowflake and for transforming this data through the datawarehouse to the acces layers for our end users
Pros
Ingest data from different sources
Transforming data with easy to use modules
Easy to use webgui
Cons
Git integration now stores one big json file which is hard to added when needed
Credit cost is based on uptime of Matillion ETL, instead of processing time
Egress can be improved to more targets
Likelihood to Recommend
It is depending on the usecase. For a combination of ingestion and transformations it can be a good choice