For Matillion, things began with Amazon Web Service’s (AWS) introduction of Amazon Redshift— its cloud-based Data Warehousing as a Service product—at the end of November 2012. Many business intelligence (BI) providers were quick to leverage Amazon Redshift at that time, including Matillion. “Back then, we used to deliver managed Business Intelligence as a Service to companies that needed better analytics but lacked the expertise or IT capabilities,” says Matthew Scullion, CEO, Matillion. To this end, businesses would leverage cloud platforms, primarily Amazon Redshift, to deliver fully managed BI as a Service offerings. “At that time, we were using a commercial off-the-shelf extract, transform, load (ETL) product that wasn’t purpose-built for the cloud or Amazon Redshift, which ultimately slowed us down,” says Scullion. Given this challenge, Matillion recognized an internal need to find a better method to extract data from a variety of disparate sources and perform the necessary transformations to make it actionable for analytics in Amazon Redshift.
After evaluating nearly every commercially available tool aimed at solving this problem, Scullion and his team came to a unanimous conclusion that there was no solution currently available which supported Amazon Redshift in the needed manner—and thus, recognized a massive market opportunity. As businesses with ever-increasing volumes of data were making the shift to cloud data warehousing, this need would become more and more acute. This customer pain point signaled the shift in Matillion’s journey towards offering cloud-native, warehouse-specific data management tools to help businesses make a seamless transition to the cloud.
The early observable results from first implementations were clear and powerful. According to Scullion, “Our solution cut the time required to perform extract and transform operations in half and was 100 times faster than traditional solutions when we implemented it internally.”
Unlike traditional data transformation software that have been ported to the cloud, Matillion’s products are cloud-native and purpose-built for specific data warehousing platforms
These results, along with Amazon Redshift’s rapidly scaling market adoption (at the time, AWS announced that Redshift was their fastest growing service), it solidified Scullion’s resolve to pursue this market opportunity.
With the goal of providing the speed and power that fast-growing and tech-savvy companies required to gain critical insights from their data in record time, Matillion launched their flagship data transformation product in October 2015. Today, more than 400 customers worldwide leverage the power of Matillion’s cloud-native ELT solution to get their data into cloud data warehouses—including Amazon Redshift, Google BigQuery, and Snowflake—and gain actionable business insights from it.
In a step to equip Matillion with scalability to fully capture the market opportunity, the company recently closed a $20 million Series B round of funding led by Sapphire Ventures. “This round of funding is an exciting opportunity for us to work with the fantastic teams at Sapphire Ventures and Scale Ventures Partners to meet the needs of our customers and partners, as well as, further accelerate the pace of innovation going into our products,” says Scullion.
Changing the Data Warehousing Sector
Businesses are seeing the value of Matillion as the best path to get into the cloud data warehouse. Delivered via the AWS Marketplace and Google Cloud Platform Marketplace, Matillion has an ever-increasing portfolio of Fortune 500 and “born-on-the-cloud” internet customers. “Most of the enterprise data is distributed and often stored on-premise in application silos. Matillion enables the movement of data assets, via integration with those on-premise data stores, to cloud-based data warehouses,” says Scullion. Matillion solves a sophisticated data integration problem by delivering a user-friendly, almost consumer-like experience with high performance and in a pay-as-you-go cloud model. With products built specifically for Amazon Redshift, Google BigQuery, and Snowflake, Matillion allows users to transfer data from an extensive range of cloud platforms to their data warehouse of choice.
Delivering an Easy-To-Use but Powerful Tool
The simplicity of the infrastructure eliminates the complexity of trying to scale a traditional extract-transform-load (ETL) capability that would still fail to provide sufficient speed. Matillion scales the cloud data warehouse during the transformation stage, expediting the process and saving cost.
“Unlike traditional ETL software that has been deployed in the cloud, Matillion’s products are cloud-native and purpose-built for the data warehousing platforms they support,” says Scullion. Further, an intuitive user interface makes Matillion easier to learn and to use. With a 14-day free trial period and pay-as-you-go pricing, businesses gain the freedom to test the service firsthand and become convinced of the value they receive—all with very little initial investment.
"Matillion solves a sophisticated data integration problem by delivering a user-friendly, almost consumer-like experience with high performance and in a pay-as-you-go cloud model"
General Electric Water is an excellent example of a company who had previously struggled with the data inflow from their over twenty global enterprise resource planning (ERP) implementations and solved their challenges with Matillion. GE needed a highly scalable data warehouse to store their data extracted since they have a massive volume of on-premises data, and made the decision to investigate Amazon Redshift rather than continue to invest in on-premises infrastructure. During the selection process, Matillion was introduced as the best option to assist GE in the complex challenge of transforming their data into Amazon Redshift. Building a proof of concept to evaluate and select a product for ERP, Matillion was pivotal in helping the organization reduce management costs and provide a solution that delivered results quickly.
Beyond the Reinvention
What sets Matillion apart is its product’s architecture, which combines high-performance data extract and transform capabilities with a user-friendly and intuitive interface with sophisticated collaboration functionalities that allow for projects to be shared and collaborated on in real time. The Matillion tool is delivered via a cloud image in a pay-as-you-go pricing model, and does not require any on-premises infrastructure, making it easy to deploy and scale in a self-serve model.
The market has voted on the value they are experiencing. Matillion stands as the highest rated data transformation service globally with a five-star rating out of five on the AWS Marketplace. Matillion is continuing efforts towards providing customers with an even greater choice of supported data warehouse solutions, allowing businesses to choose from a wider gamut of service providers according to their specific needs. “With a growing need for cloud integration tools, we see an emerging market opportunity created by a major shift from conventional to modern data integration tools, and we believe Matillion is well positioned to seize this opportunity with a great team, unique product, and customer-centric business model,” concludes Scullion.