Informatica’s Intelligent Cloud Services (IICS) platform is a solution for synchronizing and integrating cloud and on-premise applications. It offers prebuilt connectors and actions between applications and programs, allowing for data transformation within the program, as well as case-specific services.
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Matillion
Score 6.3 out of 10
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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,
Billed directly via cloud marketplace on an hourly basis, with annual subscriptions available depending on the customer's cloud data warehouse provider.
Matillion offers the unique capability of digital platform connectors (API connectors) and special functionality for Snowflake (which is our primary database). Also various sources including AWS S3, sFTP and various databases connection. In Pricing, the matillion option has …
Informatica Intelligent Cloud Services and Matillion are both software designed to help organizations extract and transform business data. Informatica Intelligent Cloud Services is an integration platform as a service built to help businesses synchronize cloud and on-premise applications. Matillion is a data integration tool designed to help businesses quickly pool together data from multiple sources such as SaaS applications. Matillion is most popular with mid-sized businesses, while Informatica Intelligent Cloud Services is most popular with large enterprises, perhaps due to its robust development tools.
Features
Informatica Intelligent Cloud Services and Matillion both allow businesses to transform and extract data, but they also have a few standout features that set them apart from each other.
Informatica Intelligent Cloud Services provides built in support for over 80 SaaS applications, making it a strong choice for businesses with a variety of applications to pull in data from. Additionally, Informatica Intelligent Cloud Services provide support for a wide variety of regulatory compliance standards including HIPAA, Privacy Shield, and SOC 3. Lastly, Informatica Intelligent Cloud Services allows for data sharing over the cloud so users can easily obtain and provide business data to other users.
Matillion provides robust compliance support specifically for GDPR compliance, making it a great software for organizations that do business in Europe. Additionally, Matillion provides a simple to use user interface, so users will require minimal training in order to get the most out of the software.
Limitations
Informatica Intelligent Cloud Services and Matillion provide data integration features for businesses, but they also have a few limitations that are important to consider.
Informatica Intelligent Cloud Services offers a number of compliancy features, but it doesn’t ensure GDPR compliance. For businesses that deal in Europe, this can be an important drawback. Additionally, Informatica Intelligent Cloud Services has a complex user interface, so users will require significant training to start using it optimally.
Matillion provides support for GDPR compliance, but not for other regulatory standards, so businesses with medical data may prefer other options. For businesses with many SaaS applications, Matillion provides around 40 native integrations, compared to Informatica Intelligent Cloud Service’s 80.
Pricing
Informatica Intelligence Cloud Services and Matillion do not provide exact pricing information. Businesses can reach out to the vendor for a quote depending on the exact needs of the organization.
Matillion pricing similarly depends on the needs of the business, but it starts as low as $1.37 an hour and offers support for Amazon Redshift, Google BigQuery, Azure Synapse Analytics, and Snowflake.
Informatica Cloud is a great tool for use when data must be formatted consistently. Once configured, it is very robust and reliable. It is also well-suited for an organization without a robust IT staff to maintain a full server infrastructure. It offers a cost-effective approach to high-quality data integration for even the largest organizations. Organizations without staff experienced in data analytics may find it challenging to take advantage of the more complex results of this tool.
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."
Once the secure connection is established it’s quite easy to operate and create new jobs. The controls are simple, and we appreciate the fact there are not a lot of complex fine-tunings required. Navigation is also easy, and we enjoy the ability to open multiple tabs in the browser to work on multiple projects.
The monitoring functionality works well to help track the progress of the jobs, again, without too much complication. In a fast dev environment, speed is essential and we quickly seeing the status/progress of jobs as well as any errors if the jobs fail helps us maintain speed.
The web interface is a lot easier to interact with than the client/on-prem version. Putting much of the heavy lifting of interacting with the tool onto the shoulders of the browser makes it easier to keep multiple sessions open and get in/out quickly without having to VPN into the office.
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.
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.
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.
I've never had trouble getting into contact with Informatica's support for technical help. I give it a nine because it does pretty well for mid to enterprise-scale workflows.
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.
First, the wizard is easy to use making the learning curve for simple ETL tasks nice. Second, since Informatica is mature there are a good variety of connectors available. Finally, we have driven some fairly complex ETL solutions using only the cloud.
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.
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.
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!
