Oct 19, 2015
Announcing Imply: An Enterprise Solution for Druid and Interactive Analytics at Scale
Today, Gian Merlino, Vadim Ogievetsky, and I are extremely excited to announce
Imply, a company for interactive analytics at scale, centered around the
Druid open source data store.
We first began working on Druid at a startup called
Metamarkets, and over the last few years, we’ve been
proud to watch the project grow and take on a life of its own.excerptEnd Our
initial goal was to enable users to arbitrarily explore and aggregate data, and
have visualizations update as fast as users could navigate through the data. We
needed a data store that could support interactivity at scale. We experimented
with relational databases, but found them to be too slow; key/value stores, but
found them too inflexible; and multiple enterprise solutions that just didn’t
make the cut. Druid came into existence to fill a gap in the data world, and
was architected with a few key attributes in mind: sub-second queries so users
can explore data without breaking their workflow, streaming data ingestion so
events can be explored immediately after they occur, and complete flexibility
in how data can be explored.
After we open sourced Druid, people began using it for everything from
analyzing ad-tech, network traffic, website usage, finance, and sensor data.
We’ve come a long way over the past few years in terms of both adoption and
scale. Existing Druid clusters now scale to petabytes of raw data,
trillions of events, and millions of daily queries. Druid is now being used for
everything from business intelligence to A/B testing and funnel analysis, and we
are still discovering new use cases every day. As the Druid community has
grown, we are also learning about what we can do better. There is still plenty
of overhead to learning the system, tuning it properly, and properly monitoring
things in production. Thankfully, we now have the opportunity to build Druid for
We’re happy to announce that we’ve raised \$2M in seed funding from Khosla
Ventures, and Ari Zilka, former CTO of
Hortonworks, will be joining our board. With this fundraising, we will be
devoting our energy to make it as easy as possible for people to use Druid and
build awesome data applications on top of it. Our first product, the Imply
Analytics Platform, is ready for download today. The
platform is completely free and open source, and is designed to make Druid
much easier to install and use. Furthermore, we’ve created and included Pivot,
a powerful UI for data exploration, and PlyQL, a SQL-like query language.
There’s still a lot of hard work that needs to be done on the project and the
surrounding ecosystem, but we’re excited to get started! If you are interested
in Imply, Druid, general data infrastructure, or joining us on this adventure,
please don’t hesitate to reach out!