Firebolt Reimagines Cloud Data
Warehouse
December 14, 2020
Firebolt
unveiled a new class of cloud data warehouse as a service and announced $37
million of financing. Firebolt delivers the fastest analytics performance – up
to 182 times faster than other data warehouses – for the most challenging data
requirements at the multi-terabyte and petabyte scale, enabling higher
performance with fewer cloud resources. Firebolt, thanks to its groundbreaking
technology, allows companies to analyze much larger volumes of data than
previously possible. This dramatically improves the ROI of collecting data and
enables a myriad of new data-driven use cases with real business impact.
The funding included participation from Zeev Ventures, TLV Partners, Bessemer
Venture Partners and Angular Ventures.
The global cloud analytics market is expected to grow to $65B by 2025, with
increasing demand driven by vast digitization and the largest software public
offering in history. Yet, current cloud data warehouse deployments struggle with
performance and high costs, limiting their ability to address the needs of
operations and customer-facing analytics. This issue has long been a pain point
for Eldad Farkash and Saar Bitner, the founders of Firebolt. Eldad, Firebolt's
Co-founder & CEO, was previously the Co-founder & CTO of Sisense, one of the
leading business intelligence products on the market. Saar, Firebolt's
Co-founder & COO, served as the GM & CMO at Sisense. They realized that with
terabytes of data, cloud data warehouses could not scale to deliver the
performance and efficiency companies needed to power their BI tools and
analytics.
Firebolt is the first cloud data warehouse that delivers a sub-second
interactive analytics experience with terabytes to petabytes of data. It enables
analysts, employees and end customers to gain the insights they need without
having to wait for the results or worry about costs.
"While companies can store massive amounts of data, most organizations are only
able to analyze a fraction of that big data, and often find themselves looking
at stale data that does not reflect the current state of their business," said
Firebolt Co-Founder & CEO Eldad Farkash. "For companies to flourish today, they
need to move fast, and they should not be forced to make data compromises to
achieve only a small part of the business value that their data holds. With
Firebolt, organizations can finally gain the insights they need without breaking
the bank."
Firebolt delivers multiple benefits that companies with growing data need and
that existing cloud data warehouses do not provide, including:
The
fastest cloud data warehouse: An order of magnitude faster performance at
multi-terabyte/petabyte scale that enables anyone to interact with the data with
sub-second performance.
End-to-end elastic scale: Built
for AWS and with a lean, efficient, SQL query engine, Firebolt decouples storage
and compute, allowing users to spin up multiple isolated compute resources on
the same database. Firebolt is the only cloud data warehouse that takes the
elasticity of the cloud to new levels by allowing granular control over hardware
and scale, with the simplicity of a mouse click, for any type of data and
analytics and any number of users.
10x price-performance advantage:
Firebolt enables more users to extract more value at a fraction of the cost of
the alternatives through greater efficiency, complete choice of resources, and
100% cost transparency.
"Firebolt created a SaaS product
that changes the analytics experience over big data sets," Oren Zeev of Zeev
Ventures said. "The pace of innovation in the big data space has lagged the
explosion in data growth, rendering most data warehousing solutions too slow,
too expensive, or too complex to scale. Firebolt takes cloud data warehousing to
the next level by offering the world's most powerful analytical engine. This
means companies can now analyze multi-terabyte/petabyte data sets easily at
significantly lower costs and provide a truly interactive user experience to
their employees, customers or anyone who needs to access the data." |