Database startup MemSQL today launched a managed cloud service for its real-time data warehouse that can run in any public cloud, in an on-premise data center, or in a hybrid environment.
“There are a number of people in today’s data world that want the power and flexibility of a staffed, real-time data warehouse but they might not want to manage it for themselves,” said Gary Orenstein, chief marketing officer. “We’ll manage it for them, and they just consume it.”
The database product provides a real-time analytics engine that allows enterprises to stream ingest data, perform ad-hoc queries, and run concurrent workloads. It also provides constant monitoring, managed backups, and automatic updates and upgrades.
The new version integrates cloud storage options, such as AWS Elastic Block Storage, and adds system metrics, so customers have visibility into their clusters. It also includes built-in access control lists for added security.
MemSQL Cloud provides faster analytics, the company said. It allows customers to load data from companies such as Informatica, create dashboards with tools such as Tableau, and use one-click provisioning and a guided data pipeline setup.
“What’s new is the ability to have all of that as a cloud service,” Orenstein said. “Very quickly and very easily, you have at your fingertips the fastest real-time data available on the market. You can capture and analyze that data in real time.”
The six-year-old, San Francisco-based startup counts several major enterprises — Comcast, Samsung, Kellogg’s, Dell EMC, Uber, Pandora, and Pinterest, among others — as customers. Kellogg’s says the database product enabled “20x faster analytics.”
Its founders, Eric Freinkel and Nikita Shamgunov, met on the first day of employee training at Facebook. Shamgunov came from Microsoft, where he worked on its SQL Server team.
The company raised $85 million in three rounds of funding to date. Accel Partners and Khosla Ventures are the biggest investors.
Traditional Data Warehouses vs. Cloud Offerings
The startup competes with traditional data warehouses like IBM’s Netezza appliances, HPE’s Vertica, and Pivotal’s Greenplum. “That’s one group: the traditional data warehouses that are not meeting today’s workloads — machine learning, IoT,” Orenstein said.
The company competes with cloud providers’ data warehouses, too.
“There are newer solutions, cloud offerings like Amazon Redshift,”Orenstein said. “That is a great product for most people but there are limitations, in terms of performance and scale. One is the ability to ingest data very quickly and analyze it very quickly. But these cloud solutions don’t leave a lot of flexibility or choice. With a cloud provider [data warehouse], you can usually only run that solution with that cloud provider. So if you use Redshift and you say I’d like to run some of this in my data center, it doesn’t really happen.”