Simplicity and Power of Agg Indexes at Scale
One of the ways Firebolt is able to support data-driven applications is by leveraging aggregating indexes on the tables.
A Deep Dive into Slack's Data Architecture
How the data platform evolved as Slack grew from a startup to an IPOed and then acquired company.
Embedded Analytics vs Data Apps
There has been a lot of talk recently about Data Apps. That's what Firebolt is thinking about data apps.
Transitioning Scopely’s 5.5 PB Data Platform to the Modern Data Stack
Should data engineering AND BI be handled by the same people?
Getting Rid of Raw Data with Jens Larsson
Why would you create ugly data? According to Jens Larsson, don’t even go near raw data.
5 steps to debug your complex SQL queries in Firebolt
Let us guide you through the process of identifying the performance bottlenecks in your query in just 5 simple steps.
How Zendesk engineers manage customer-facing data applications
Ananth Packkildurai is Principal Software Engineer at Zendesk and runs one of the strongest newsletters in data
Future of Performance is Not About Performance
The data warehousing market has gone absolutely mad over performance. Why is this the case?
SQL: Thinking in Lambdas
Many programming languages are imperative – tell the compiler how to operate by providing the instructions in order.
Firebolt Announces Series C Round at $1.4 Billion Valuation to Build the World's Fastest and Most Versatile Cloud Data Warehouse
Demand from engineering teams has skyrocketed since Firebolt emerged from stealth last year
How are those data intensive customer facing apps engineered at Gong?
Gong manages hundreds of thousands of videoconferences and millions of emails PER DAY, which add up to hundreds of TBs.
How Bolt Engineers Are Designing Its Next-Gen Data Platform
Bolt engineers are in the midst of designing a new next-gen data platform
Firebolt Indexes in Action
Indexes are the primary way for users to accelerate query performance in Firebolt. Learn about them here.
How did Agoda scale its data platform to support 1.5T events per day?
Scaling a data platform to support 1.5T events per day requires complicated technical migrations
Cloud Data Warehouse: The Hitchhikers Guide
Everything you needed to know about cloud data warehouses but were afraid to ask...
Postgres and MySQL for Analytics - Meeting the 1 second SLA
Learn when to use Postgres, MySQL, in-memory databases, HTAP, or data warehouses to meet the 1 sec SLA in analytics.
Diving Into GitHub's Data Stack
It’s the mother of all development projects. You use it daily. And so do 65M developers around the world.
Top 10 Ways to Improve Cloud Data Warehouse Performance (And how it’s done in Firebolt)
Lear the top 10 tips of how to improve your cloud data warehouse performance.
Building Data Products For Data Engineers
How does a tech stack that always needs to be at the forefront of technology look like?
Snowflake vs Databricks vs Firebolt
More and more, people are asking me “how do you compare Snowflake and Databricks?” We did our best to answer.
How Vimeo Keeps Data Intact with 85B Events Per Month
How Vimeo handles Data Ops to deal with massive scale?
How Substack's Data Platform Supports 500K Paying Subscribers
How does Substack's data platform support 500K paying subscribers?
A Technical Deep Dive to Yelp's Data Infrastructure — with Steven Moy
Steven Moy thoroughly explains Yelp’s data architecture under the hood and how it evolved over the past ten years.
How do Canva's engineers and analysts scale data platforms to keep up with growth? — with Krishna Naidu
Canva is one of the hottest, if not the hottest, graphic design platforms out there.
Druid, ClickHouse, and Pinot vs data lakes and data warehouses
How to choose the best analytics engine for each type of analytics.
How AppsFlyer manages scale without sacrificing performance
Appsflyer deals not only with 120 billion events per day, but does so while growing quickly as a company
Firebolt Ignites Growth with a $127M Series B Funding Round
Upstart cloud data warehouse sees rapid growth in 2021, plans to double its workforce
Amazon Athena 2.0 (Presto 0.217) - What’s New
Amazon Athena engine version 2 - what’s new and big enough to call this a 2.0 release?
The real meaning of a data lake
Making sense of a data lakes, delta lake, lakehouse, data warehouse and more.
JSON the SQL: Choosing the best data warehouse for semi-structured data
Working with semi-structured data can be more like a Jason (horror movie) Sequel than JSON SQL.
ETL Vs. ELT - Know The Differences
Explore the significant differences between ELT and ETL data integration processes and find the best option for you.
How to accelerate Looker performance on Redshift, Snowflake and BigQuery
How to accelerate Looker performance on Redshift, Snowflake and BigQuery? Short-term fixes and the long-term solutions.
The Double Redshift: About Redshift Alternatives and Limits
When do you need to shift from Redshift, and what are the alternatives? Learn here.
How to upgrade from Tableau extracts to a fast Tableau live connection
Learn how to upgrade from Tableau extracts to Tableau live connection to deliver sub-seconds performance every time.
AWS Athena Error: Query exhausted resources at this scale factor
If you’re using Amazon Athena, you may have seen these errors. About AWS Athena errors and how to deal with them.
Snowflake vs. Redshift (vs. Firebolt)
A detailed comparison of Snowflake vs. Redshift, by architecture, scalability, performance, use cases and cost.
Athena vs. Redshift Spectrum vs. Presto
Learn some simple rules of thumb you can use to choose the best federated query engine for your company's needs.
Choosing Between The Best Federated Query Engine And a Data Warehouse
How companies should avoid creating a slow many headed federated Gorgon out of out of Athena.
Cloud Data Warehouse Requirement Template
A checklist of criteria to help you determine which factors are most important for the success of your organization
Why even simple queries can be slow (but not with Firebolt)
Why even simple queries can be slow in cloud data warehouses and how Firebolt uses indexing to prune data and stay fast?
How To Support Ad Hoc Analysis - Part 2
How to support ad hoc analysis - Part 2: The right ad hoc analytics architecture
How To Support Ad Hoc Analysis - Part 1
How to support ad hoc analysis: Part 1 - The 4 requirements for an ad hoc analytics architecture
The data hitchhiker’s guide to cloud analytics
"In the beginning, there was a data mess". Don’t Panic, just read our data hitchhiker’s guide to cloud analytics.
Firebolt launches with $37 million in funding
The funding included participation from Zeev Ventures, TLV Partners, Bessemer Venture Partners and Angular Ventures.
Snowflake vs Firebolt
We often get asked “what’s the difference between Firebolt and Snowflake?” and it reminds me of Frozen.
The Evolution of Data Warehouses and Query Engines on Amazon Web Services (AWS)
Choosing the right data warehouse and analytics infrastructure on Amazon Web Services (AWS) can be confusing.
Who the Hell Needs Another Cloud Data Warehouse?
There’s so many data warehouses out there, who the hell needs another one? Three main things that make Firebolt unique.