Materialize scores $40 million investment for SQL streaming database
Materialize, the SQL streaming database startup built on top of the open source Timely Dataflow project, announced a $32 million Series B investment today led by Kleiner Perkins with participation from Lightspeed Ventures.
While it was at it, the company also announced a previously unannounced $8 million Series A from last year that had been led by Lightspeed, bringing the total raised to $40 million.
These firms see a solid founding team that includes CEO Arjun Narayan, formerly of Cockroach Labs, and chief scientist Frank McSherry, who created the Timely Flow project on which the company is based.
Narayan says that the company believes fundamentally that every company needs to be a real-time company and it will take a streaming database to make that happen. Further, he says the company is built using SQL because of its ubiquity, and the founders wanted to make sure that customers could access and make use of that data quickly without learning a new query language.
“Our goal is really to help any business to understand streaming data and build intelligent applications without using or needing any specialized skills. Fundamentally what that means is that you’re going to have to go to businesses using the technologies and tools that they understand, which is standard SQL,” Narayan explained.
Bucky Moore, the partner at Kleiner Perkins leading the B round sees this standard querying ability as a key part of the technology. “As more businesses integrate streaming data into their decision making pipelines, the inability to ask questions of this data with ease is becoming a non-starter. Materialize’s unique ability to provide SQL over streaming data solves this problem, laying the foundation for them to build the industry’s next great data platform,” he said.
They would naturally get compared to Confluent, a streaming database built on top of the Apache Kafka open source streaming database project, but Narayan says his company uses straight SQL for querying, while Confluent uses its own flavor.
The company still is working out the commercial side of the house and currently provides a typical service offering for paying customers with support and a service agreement (SLA). The startup is working on a SaaS version of the product, which it expects to release some time next year.
They currently have 20 employees with plans to double that number by the end of next year as they continue to build out the product. As they grow, Narayan says the company is definitely thinking about how to build a diverse organization.
He says he’s found that hiring in general has been challenging during the pandemic, and he hopes that changes in 2021, but he says that he and his co-founders are looking at the top of the hiring funnel because otherwise, as he points out, it’s easy to get complacent and rely on the same network of people you have been working with before, which tends to be less diverse.
“The KPIs and the metrics we really want to use to ensure that we really are putting in the extra effort to ensure a diverse sourcing in your hiring pipeline and then following that through all the way through the funnel. That’s I think the most important way to ensure that you have a diverse [employee base], and I think this is true for every company,” he said.
While he is working remotely now, he sees having multiple offices with a headquarters in NYC when the pandemic finally ends. Some employees will continue to work remotely, but the majority coming into one of the offices.
Materialize, the SQL streaming database startup built on top of the open source Timely Dataflow project, announced a $32 million Series B investment today led by Kleiner Perkins with participation from Lightspeed Ventures. While it was at it, the company also announced a previously unannounced $8 million Series A from…
