Engineered for millisecond question efficiency at lowest price, driving knowledge insights quicker than ever
Firebolt introduced the next-generation Cloud Data Warehouse (CDW) that delivers low latency analytics with drastic effectivity positive factors. Constructed throughout 5 years of relentless growth, it displays steady suggestions from customers and real-world use instances. Knowledge engineers can now ship customer-facing analytics and data-intensive functions (knowledge apps) extra cost-effectively and with higher simplicity.
The Evolution of Firebolt
Firebolt is designed to satisfy the excessive calls for of recent knowledge workloads. Recognizing the necessity for a contemporary answer, Firebolt has reimagined how knowledge ought to be saved, processed, and utilized, providing unmatched effectivity and low latency analytics. This engineering replace marks a major milestone in Firebolt’s mission to remodel knowledge warehousing.
“The information market is quickly shifting from supporting inside analytics to enabling exterior knowledge entry and the creation of data-intensive merchandise. This calls for a contemporary cloud knowledge warehouse that mixes the ultra-low latency of high question accelerators with the power to scale and remodel large, various datasets from any supply, all whereas utilizing customary SQL to deal with any question complexity at scale — with out compromise,” mentioned Firebolt CEO & cofounder Eldad Farkash. “Years within the making, Firebolt comes from among the finest, most confirmed groups within the business, listening intently to clients throughout mission-critical use instances, to ship velocity, simplicity, and price financial savings. This can be a milestone in knowledge warehousing, constructed for now and for the subsequent era of analytic functions.”
“Firebolt enabled us to attain sub-second question efficiency throughout greater than one petabyte of knowledge in manufacturing whereas ingesting 5 terabytes every day, all with out the necessity for intensive pre-processing,” mentioned Yoav Shmaria, VP of R&D, Platform at Similarweb. “Firebolt’s structure permits us to dynamically question large datasets with excessive concurrency immediately from uncooked knowledge and successfully isolate workloads with decoupled storage and compute. This functionality has been essential in delivering complicated analytics options at scale whereas sustaining predictable efficiency and lowering our whole price of possession (TCO).”
Key Advantages of Firebolt
Organizations face the problem of dealing with each inside analytics and exterior knowledge functions, requiring them to handle separate techniques that result in elevated complexity and whole price of possession (TCO). Present options can’t ship each the millisecond question responses and SQL capabilities wanted at scale, forcing companies to trade-off between pace and performance.
Firebolt ends the battle, redefining knowledge analytics with an economical unified platform that allows millisecond latency and excessive concurrency at scale to ship highly effective insights quicker. Key advantages embody:
- Excessive Effectivity: Engineered for millisecond question efficiency on the lowest price, delivering real-time insights to knowledge apps with out compromises.
- Concurrency at Scale: Helps excessive question per second (QPS) charges, preferrred for functions requiring excessive efficiency below heavy load.
- Versatile Infrastructure: Totally decoupled and scalable structure brings granular and multidimensional scaling to the best dimension compute sources for dynamic workload wants. Operating various duties and blended workloads — resembling knowledge loading, ELT, and low-latency analytics — on remoted engines ensures predictable efficiency throughout all workloads whereas preserving transaction integrity and international consistency.
- SQL Simplicity: From provisioning to querying, all the things in Firebolt is SQL. PostgreSQL-compliance allows integration with present workflows and instruments whereas providing assist for each structured and semi-structured knowledge analytics to satisfy various wants.
Prospects Are Seeing Massive Outcomes
“Firebolt enabled us to research a million advert auctions per second, delivering a 400X pace enchancment over MySQL and reducing storage prices by 77%. This degree of efficiency permits us to supply real-time insights which might be crucial for optimizing cellular promoting methods,” mentioned Yaron Cohen-Leo, Enterprise Intelligence Crew Lead at Bigabid.
“Firebolt has fully remodeled our knowledge processing capabilities. Earlier than, we struggled with sluggish question speeds and escalating prices with RDS/MySQL, which couldn’t deal with our complicated reporting necessities. Since shifting to Firebolt, we’ve decreased our infrastructure bills by 30% whereas reaching a 58X enhance in question pace. Our clients now expertise the quick, dependable efficiency they anticipate, and our staff can ship close to real-time reporting by quickly ingesting knowledge from over 70 sources,” mentioned Ryan McWilliams, CTO of VRIO.
“Firebolt’s indexing capabilities have remodeled our knowledge platform, delivering 60X quicker question occasions and enabling us to create dealer-specific stories in simply two minutes as a substitute of over an hour. Firebolt’s scalability permits us to deal with tables of effectively over a billion data effectively, offering well timed pattern stories which might be crucial to our buying and selling community. The configurability and decoupled compute and storage structure allows us to handle workloads cost-effectively, whereas supporting our development and permitting us to immediately combine past simply reporting and into our every day workflows and end-user instruments,” mentioned Russell Guthrie, VP of Software Engineering for Supplier Commerce Community (DTN).
“Firebolt is the one answer that enables us to run complicated SQL queries over billions of data with excessive concurrency and low latency at the very best value for efficiency. Its distinctive options are its low latency on complicated SQL queries and nice scalability — each in concurrency and in knowledge volumes. Firebolt has enabled our staff at Agritask to serve large knowledge at excessive concurrency on to the Net UI,” mentioned Andrew Schetinin, CTO of Agritask.
Firebolt’s management and staff are well-known for foundational contributions to hyperscalers’ CDW applied sciences, rising a knowledge analytics unicorn, international expertise awards, and their connection to TUM College database analysis experience.
Attempt Firebolt Right now
Expertise the facility of Firebolt with our free trial. Enroll now and see firsthand how Firebolt can remodel your knowledge technique.
Learn our launch blog for extra info.