Today at the Data Unlocked event, Matillion has announced its latest product: the Data Productivity Cloud. This cloud-based data platform is designed to make data business-ready and simplify data task management, unify different data operations, and integrate customers’ entire tech stacks. Learn more about the release in this report, along with insights from Matillion founder and CEO Matthew Scullion.
Jump to:
Key Features of Matillion Data Productivity Cloud
Historically, collecting and storing data has not been a company’s biggest lift; making data fit for purpose and effectively integrating it into business operations is typically more challenging, especially with legacy data systems and processes that no longer work. Recognizing this problem, Matillion decided to develop the Data Productivity Cloud, a cloud data platform and ecosystem that aims to turn data into business faster and more efficiently.
“60 to 85% of [data] work makes the data business-ready to fuel those business intelligence, AI and machine learning, and operational intelligence use cases,” said Scullion. “So that’s what the Data Productivity Cloud is. It is a service platform that enables our customers to load, transform, orchestrate and sync their data in their quest to get it up and running faster.”
Here are some of the key features Data Productivity Cloud provides to make data business-ready:
- Low-code/no-code functionality: A wizard-based, low-code/no-code approach to custom connectors for data loading.
- Integrations: Simple integrations and connectors with hyperscalers: cloud data platforms; and cloud-based business applications such as SAP, Workday, and Anaplan.
- To test live data clones for DataOps teams: The first tool to support Snowflake Zero Copy Clone.
- Matillion Unlimited Scale: Secure, serverless remote runners that support scaling data workflows directly in enterprise cloud environments.
All of these features work together to help Matillion achieve its goal of offering a data platform that is “stack-ready, future-ready and everyone-ready”. Below, we explain what each of these three “ready” statements means for Data Productivity Cloud users.
Becoming “stack-ready” with comprehensive ecosystem integration
One of Matillion’s primary goals is to offer a platform that is stackable, making the Data Productivity Cloud natively compatible with a wide variety of cloud platforms and applications.
In addition to simply developing a cloud-based data platform that works well with other cloud tools, Matillion emphasizes that stack-ready also means deep integration of the platform with a customer’s entire cloud ecosystem:
“The place where people innovate and compete with data today is in the cloud,” says Scullion. “And so, of course, the technology has to be cloud-first, born and built in the cloud. [It] must also integrate deeply with the underlying hyperscaler – [like] AWS, Azure, and Google Cloud — and with the cloud data platform — [like] Snowflake, Databricks and Amazon Redshift — as well as with the rest of the ecosystem of technologies the customer wants to use.”
Matillion customers can expect the Data Productivity Cloud to integrate with their existing cloud technologies. But more than that, they can expect an end-to-end integration that provides comprehensive data operations in one tool.
“Matillion provides all the services needed to make data usable for loading, transforming, orchestrating and synchronizing, but is also built for and deeply integrated with the rest of the modern data ecosystem, all in one place. And that is unique in the industry. There are plenty of other companies that do a bit of the story – maybe they load data, maybe they can do orchestration – but there is no other platform that can go from start to finish and do it in a way that isn’t a walled garden ”.
Scale data operations with a “future-proof” data platform
Data use cases and projects have evolved tremendously in recent years, especially as more and more companies are leveraging data for machine learning, artificial intelligence, and customer experience initiatives. To meet these data requirements, businesses need cloud data storage and management platforms that help them work more efficiently with data, but more than that, they need platforms that can scale as their data sets and data complexity grows.
With this release, Matillion hopes to provide a “future-ready” platform that will help businesses scale their data quickly and efficiently and prepare for use cases they don’t know are coming. Matillion Unlimited Scale is one such differentiator that is included in the Data Productivity Cloud.
Ensuring that data systems and processes are “ready for everyone”
As data-driven business projects grow across the board, the data science talent struggles to keep up with demand. Like other data companies on the ground today, Matillion addresses this problem by democratizing data with an ‘everyone ready’ approach to the Data Productivity Cloud.
“Getting the data operational…it’s a huge step forward, and there aren’t enough of us to do it,” admitted Scullion. “Each of us cannot move that fast because we are limited by primitive technologies and our own skills and time. So what we really need is a platform where anyone who wants to make data business-ready can do it the way they want and as productively as possible.”
He specifically noted that the platform is compatible with the goals of everyone from the data engineer to the DataOps team to the business analyst. Matillion Data Productivity Cloud offers a combination of low-code/no-code functionality with the freedom to code or personalize every step of the data lifecycle management process.
“Ultimately, we can’t just make the world’s data useful. There’s just too much data and too much work, so getting more people into the pass rush is the way to solve that. And that’s what the Data Productivity Cloud was designed for.”
About Matillion
Matillion has been a leader in data productivity solutions since 2015, when the company first launched its Matillion ETL product. Since then, Matillion has discovered additional data pain points, both in its own workflows and in the experiences of its customers, that necessitated a solution like the Data Productivity Cloud.
“We’ve been working on the launch of the Data Productivity Cloud for years,” said Matthew Scullion, Founder and CEO of Matillion.
“Over the past seven years, our own experiences, our partners, and most importantly, our customers have taught us much more about the needs of organizations to make data productive faster.”
The new Data Productivity Cloud aims to alleviate data obstacles in business operations and joins forces with Matillion’s other products: Matillion ETL and Matillion Data Loader.
