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Firebolt
United States
Registrace 22. 12. 2020
Welcome to Firebolt's youtube channel!
Firebolt's cloud data warehouse delivers extreme speed and elasticity at any scale, solving your impossible data challenges. our unique technology combines the best of high performance database architecture with the infinite scale of the data lake, enabling you to perform analytics at jaw-dropping speed across terabyte and petabyte scale. Built on a decoupled storage and compute architecture, Firebolt allows you to easily scale up or down to support any workload.
For more info: www.firebolt.io/
Firebolt's cloud data warehouse delivers extreme speed and elasticity at any scale, solving your impossible data challenges. our unique technology combines the best of high performance database architecture with the infinite scale of the data lake, enabling you to perform analytics at jaw-dropping speed across terabyte and petabyte scale. Built on a decoupled storage and compute architecture, Firebolt allows you to easily scale up or down to support any workload.
For more info: www.firebolt.io/
How WINGX Leveraged Firebolt to Boost Data Processing Efficiency by 70%
WINGX’s market intelligence platform provides aviation companies with detailed industry insights. Aniruddha Bharadwaj, Manager Data Science and Production Systems at WINGX shares how Firebolt powers interactive dashboards and 70% faster query processing compared to their initial solution, while simplifying data ingestion and keeping costs in check.
zhlédnutí: 87
Video
How Dealer Trade Network deliver 60X faster analytics
zhlédnutí 41Před měsícem
Dealer Trade Network operate the USA’s largest dealer-to-dealer car trading network. Russell Guthrie, VP Application Engineering at DTN shares how Firebolt powers the network’s data features which track inventory and market trends, providing timely reports over a 12-month data retention period, compared to a 1-month window previously possible.
How Firebolt powers Similarweb's Keyword Analysis tool
zhlédnutí 71Před měsícem
Yoav Shmaria, VP R&D SaaS Platform at Similarweb demos how their newest market tool takes keyword analysis to the next level - running complex queries on terabyte-scale datasets instantly over Firebolt
Lurkit serves granular insights from millions of gaming channels via their app
zhlédnutí 169Před 5 měsíci
Powered by Firebolt, Lurkit’s platform connects game developers with content creators by collecting and analyzing data from millions of channels on Twitch, CZcams and more. Users can interactively query years of historical data with fine granularity to gain insights.
HOW BIGABID ANALYZES 30B ADTECH RECORDS IN MILLISECONDS
zhlédnutí 86Před 6 měsíci
Bigabid generates billions of records daily, which they use to help developers increase their app usage and optimize ad spend. BI Team Lead Yaron Cohen explains how they accelerated queries 400X while cutting costs by moving to Firebolt. The case study: www.firebolt.io/case-studies/bigabid-slashes-latency-and-boosts-query-performance-400x-using-aws-and-firebolt
Webinar: How Bigabid analyzes 30B AdTech records in milliseconds
zhlédnutí 159Před 6 měsíci
Bigabid generates billions of records daily, which they use to help developers increase their app usage and optimize ad spend. Their massive SQL databases were running on Redshift, but as their user base grew it became expensive to scale, hard to manage, and too slow for their latency-sensitive dashboards. 00:00 Intro 01:02 Pipeline challenges on Redshift 11:05 Boosting performance on Firebolt ...
How to register for Firebolt | Firebolt
zhlédnutí 217Před 10 měsíci
How to register for Firebolt | Firebolt
How To Configure AWS Marketplace Subscription | Firebolt
zhlédnutí 79Před 10 měsíci
How To Configure AWS Marketplace Subscription | Firebolt
"Why we chose Firebolt" | Our customers
zhlédnutí 190Před 11 měsíci
The is what our customers had to say about life with Firebolt :)
Why IQVIA chose Firebolt for Life Science analytics
zhlédnutí 200Před rokem
"Whether we have 100, 200, or 250 users accessing a BI tool, we need consistent sub-second query performance. Firebolt is a key partner for us." Jeremy Stroud, Director IT Architecture at IQVIA shares how IQVIA uses Firebolt to accelerate Life Science analytics.
Webinar: High performance ad tech analytics
zhlédnutí 177Před rokem
Learn how to run Ad Tech analytics in sub-seconds over TBs of data with minimum resources. We'll cover: 00:00 Balancing speed and cost 05:58 Scanning 31 TBs in 0.4 seconds 14:15 What makes Firebolt's Cloud Data Warehouse so fast? 24:31 Analyzing Clickstream Data - Without JOINs Led by Matthew Darwin, Solution Architect at Firebolt
How Ezora Drives Profit Growth for Food & Beverage Customers by Streamlining Operations Data
zhlédnutí 157Před rokem
Alan O'Neill, Founder and CEO at Ezora explains how Ezora drives streamlines operations data Food & Beverage customers. "From speed of ingestion to speed of performance, Firebolt has blown expectations out of the water. We can provide better tools that answer far more of our customers' questions."
Distributed Query Execution in Firebolt (w. Benjamin Wagner)
zhlédnutí 298Před rokem
Modern analytical systems, as we see it, come in two flavors. First, you have general purpose cloud data warehouses that are very good at processing large volumes of data, but not nearly as efficient in delivering high concurrency or low-latency workloads. Second, you have accelerators like Druid and ClickHouse that are designed for high-concurrency, low-latency data serving workloads, but stru...
How AppsFlyer delivers sub-second self-service BI to 1000 users
zhlédnutí 148Před rokem
1000 Looker users. That was the number that got AppsFlyer engineers saying “damn that’s a lot we need to rethink our data infrastructure.” Learn how AppsFlyer used Firebolt to scale its self-service BI to support 1000 users running analytics at any scale in seconds.
How Vrio customers get real-time data as fast as they possibly can
zhlédnutí 99Před rokem
How Vrio customers get real-time data as fast as they possibly can
How Primer Accelerates Query Performance with SQL Only
zhlédnutí 143Před rokem
How Primer Accelerates Query Performance with SQL Only
Data Analytics Cost Optimization Workshop
zhlédnutí 141Před rokem
Data Analytics Cost Optimization Workshop
Using Apache Airflow to keep your Firebolt data up-to-date
zhlédnutí 97Před rokem
Using Apache Airflow to keep your Firebolt data up-to-date
Analyzing GitHub Archive Data - 2. Querying
zhlédnutí 193Před rokem
Analyzing GitHub Archive Data - 2. Querying
Getting Started with Firebolt using Jupyter
zhlédnutí 69Před rokem
Getting Started with Firebolt using Jupyter
Analyzing GitHub Archive Data - 3. Ingestion
zhlédnutí 110Před rokem
Analyzing GitHub Archive Data - 3. Ingestion
Analyzing GitHub Archive Data - 1.Introduction
zhlédnutí 381Před rokem
Analyzing GitHub Archive Data - 1.Introduction
Firebolt Monitor Tool setup | Setting up the Query History dashboard
zhlédnutí 65Před rokem
Firebolt Monitor Tool setup | Setting up the Query History dashboard
Panel: Data Teams' Outlook on Data Warehousing in 2023, Survey Report
zhlédnutí 155Před rokem
Panel: Data Teams' Outlook on Data Warehousing in 2023, Survey Report
Building a Fast Data App with Flask, Python and Firebolt | w. Luka Lovosevic
zhlédnutí 219Před rokem
Building a Fast Data App with Flask, Python and Firebolt | w. Luka Lovosevic
NPC content
Comparison was good, but you should explain why Redshift won every single time, even if Athena was better in a few scenarios.
Brilliantly done.
Hghh
Hold up, is this HARRY POTTER?
In storage format, athena supports columnar partitioned and compressed file in s3.
What about hive on EMR
Awesome. Is that code published anywhere? Understand if it's Firebolt IP ;)
We plan to publish this on Github (but don’t have a firm date yet)
And what is the cost comparison?
Do you guys have a free trial version like the 30day trial snowflake gives, for us to run some small poc for ourselves?
ok, this is an amazing announcement
A 17 second video for 0.86 of actual content. That much inefficiency isn't something to be proud of! 😜
Amazing Ad!!!
You brightened up my dull day at work with this one. Chapeau guys!
If I have to read I would have gone to some website not CZcams
amazing announcement!!!
ha
great video
??o?o?? ?
What game ?
www.firebolt.io/big-data-game
@@FireboltHQ Site doesn't load for me -- funny trailer, though
The Biggest Asset of the Firebolt is its Query Engine.... Currently I am Working on Snowflake... and I know the pain, of how many bytes it spills when a jumbo query runs, on a jumbo data 😄, Anyways, I understood the Beautiful, intuition behind the F3 file storage, in contrast with the micro partitions on Snowflake.
10:12 two hundredths of a second... two milliseconds is .002s
Congratulations And hilarious announcement video!
best Ad i ever saw in years.
Do you have any TPC-DS benchmarking against Snowflake, Redshift or Athena? Only for selected queries, it would be difficult to conclude anything.
I loved every minute technical detail, of what matan said. Great POC for a great product. 💥
This experiment ONLY shows that 100 sessions are available on a Firebolt server. Not a big deal. No specification of the server was given (cores? RAM?) and running such queries in memory should be fast, especially with the proper index. Given the short running time of the query it does NOT proof the users really run concurrently.For that you need long-running queries that start fighting over the available resources on a multi-core system. Furthermore, the increase in average response time might equally well indicate LACK of scalability, because the short queries are serially executed. Martin Kersten
Hello Martin, thank you for your comment. I'm sorry it took me so long to see this. Let me try and clarify: 1. The engine I was using had 16 CPUs and 32 GB RAM. Total cost of such engine in Firebolt is $3.6 / hour 2. Data isn't stored in memory (indexes are). All queries were unique and generated on the fly. 3. The queries were executed in parallel - I was using Python multiprocessing library, so every thread was connecting to Firebolt independently, and then ran a random generated query. 4. I agree that if the query was more complexed, it would consume more resources and would take more time, but then I might be using a different engine.
Do we have firebolt free tier account to experience the interface/features? Thanks
For the sake of the future listeners: fff file format is NOT "[fff] - Terminal file manager", it is Firebolt file format. I just have spent a while to understand how [fff] can be related to firebolt files haha... The same name confused me.....
I wish Eldad was my dad! Great video Firebolt team 🥰
Hi Boaz, I like your pitch. Please confirm the database cache is also disabled for the demo [ not just the Looker cache]. Most of the databases can be as fast as the demo above if the 24-hour cache for repeat queries is not disabled proactively for true performance testing of the database.
Sanjay, you make a good point that very few realize. Hats off to you from a performance architect.
Stayed up all night to get lucky 😂
Looks very promising results from demos. When shall we expect trial version available for general public or Interested groups.
with limit 100 .. lol 😂
LIMIT has no influence on performance. We still go through all records. 😉
you need to scan all rows inorder to perform a group by and order by ! do you think thats too slow, you gotta kidding me mate.
Do we have any sandbox environment to test the said features for firebolt?
Hi there! You can sign up on Marketplace and run a POC, which have typically taken a few weeks or less. We engage with you as part of the process.
Can we have free trail on firebolt
Please remove Druid from the title of this post.
Hi??? You have 1 sub loser!
Nice.
How much time does the engine take to startup - How many Indexes are loaded at the start?
Hi! Startup times haven't really mattered because most companies keep Firebolt on 24x7 for queries. The reason is they do not want to wait for an engine to warm up its data. They want sub-seconds queries any time. Even if you provision the infrastructure in less than 1 second, you still have to warmup the engine. Firebolt lets you configure startup to pre-fetch indexes or data if that's how you want to proceed. Companies do start and (auto) stop engines for batch ELT. It is relatively fast. When only indexes are loaded it's relatively fast. Most indexes are primary indexes, which are small compared to the tables and load quickly.
Firebolt is on fire!
This data warehouse is faster than my fastball!
Great demo. Firebolt rocks!
That hat 🚫 no data that literally means data lol
Funny video, now I love being tracked by all these companies. I LOVE BIG BROTHER.
💀💀💀 -- amazing
very nice video and good information shared
Ashit Yunot!!!!!!!!! LOL
Very nice and excellent vedio. Thank you so much for this video.