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Blog

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Blog

Introducing Firebolt Core - Self-Hosted Firebolt, For Free, Forever

Dive into the workings of the forever free, self-hosted edition of Firebolt’s distributed query engine

Mosha Pasumansky
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Making Firebolt Fast By Doing Practically Nothing

Learn about the different methods deployed in Firebolt for reducing the number of scanned rows (aka pruning).

Ori Brostovski

Live Engine Upgrades, Zero Downtime: The Firebolt Method

Discover how Firebolt delivers seamless, no-downtime upgrades using shadow clusters and real-time performance.

Ilya Shakhat

Introducing Firebolt Core - Self-Hosted Firebolt, For Free, Forever

Dive into the workings of the forever free, self-hosted edition of Firebolt’s distributed query engine

Mosha Pasumansky

Firebolt vs Snowflake: Cloud Data Warehouse Comparison

We often get asked “what’s the difference between Firebolt and Snowflake?” and it reminds me of Frozen.

Robert Meyer

Snowflake vs Databricks

More and more, people are asking me “how do you compare Snowflake and Databricks?” We did our best to answer.

Robert Meyer

Snowflake vs. Redshift: Cloud Data Warehouse Comparison

 A detailed comparison of Snowflake vs. Redshift, by architecture, scalability, performance, use cases and cost.

Robert Meyer

Unlock Conversational Data Interaction: Firebolt MCP Server for Advanced LLM Integration

Supercharge your data workflows by connecting Firebolt to AI tools with the new MCP Server.

Ivan Koptiev

Professors Joe Hellerstein and Joseph Gonzalez on LLMs

Joe Hellerstein and Joseph Gonzalez inspired generations of database enthusiasts and are now on the show

Firebolt Team

Querying Apache Iceberg with Sub-Second Performance

Firebolt's new READ_ICEBERG capability does a lot of heavy lifting to provide low-latency access to your Iceberg tables.

Lorenz Hübschle

[Dynamic Code Blocks] Exploring your data lake in Firebolt using just TVFs

Discover how Firebolt implements SQL functions for data exploration.

Asya Shneerson

Cloud Data Warehouse Statistics Trends

Discover key cloud data warehouse statistics and trends.

Firebolt Team

Unlocking Simplicity and Security: Firebolt’s New LOCATION Object

Discover the new LOCATION object, a foundational improvement to Firebolt’s data access model.

Chen Burshtein

How Rising Wave Is Redefining Real-Time Data with Postgres Power

The Future of Data Processing: PostgreSQL Evolution with YingJun Wu of Rising Wave.

Firebolt Team

AI and Predictive Analytics in Cloud Data Warehousing

Discover how AI and predictive analytics are reshaping cloud data warehousing

Monica Cisneros

GROUPING SETS as a pure planner rewrite ? Yep - it's possible

Learn how GROUPING SETS work and how Firebolt’s implementation uses smart query planning to execute them efficiently.

Julia Spindler

AI & Cloud Data Warehouses: 2025-2030 Market Projections

Discover how Firebolt combines AI capabilities with powerful analytics for faster insights and smarter data management.

Firebolt Team

Exploring your data lake in Firebolt using just TVFs

Discover how Firebolt implements SQL functions for data exploration.

Asya Shneerson

Building a Chatbot with Firebolt Using Retrieval-Augmented Generation

We built a Firebolt-powered support chatbot using retrieval-augmented generation (RAG).

Firebolt Team

The Future of Data Warehousing in the Age of AI: 5 Key Trends from Firebolt Forward

Legacy BI tools can’t keep up with AI. Firebolt Forward revealed 5 trends defining the future.

Monica Cisneros

Cloud Data Warehouse Market Share Breakdown: Who Are the Top Players in 2025?

Discover the top cloud data warehouse providers dominating the market in 2025.

Firebolt Team

Decomposing Firebolt transactions

Explore how Firebolt transaction manager works

Mosha Pasumansky

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Firebolt Team

How to Boost Query Performance with Apache Iceberg in Cloud Data Warehouses

Speed up queries with Apache Iceberg and Firebolt's lightning-fast execution.

Firebolt Team

Recap - Firebolt Forward: Data Warehousing in the Age of AI

Legacy data warehouses can’t handle AI apps. Firebolt is built for subsecond latency, massive concurrency, and more...

Monica Cisneros

Beyond Database Optimization with AI

Discover groundbreaking, innovative approach to database technology as you tune in to this episode with CEO DucksDB Labs

Firebolt Team

The Process of Running FireScale Benchmarks

Learn about the methodology behind constructing and running the FireScale benchmarks.

Cole Bowden

Introducing FireScale - A Benchmark for High Performance and High Concurrency Analytics Workloads

FireScale reveals Firebolt’s 8x-90x price-performance edge & near-linear concurrency scaling for next-gen analytics.

Manish Agarwal

Why Choose Apache Iceberg Over Traditional Table Formats?

Learn how Apache Iceberg outperforms Hive and Delta Lake.

Firebolt Team

How to Boost Query Performance with Apache Iceberg in Cloud Data Warehouses

Learn how Apache Iceberg boosts query performance in cloud data warehouses.

Firebolt Team

AI in Cloud Data Warehousing

AI-driven cloud data warehousing enables faster, more accurate analytics.

Monica Cisneros

Under the Hood of Firebolt Compute Families

Dive into why Firebolt introduced a new compute family and when you'd want to use it.

Cole Bowden

Introducing Firebolt Editions and Compute Family Choices

Choose the right edition and compute family to optimize query performance and cost-efficiency with Firebolt.

Manish Agarwal

Robust and efficient geospatial operations using snap rounding (Part III)

We will explore in more detail how Firebolt implements robust operations on geospatial data.

Demian Hespe

How AI is Transforming ETL in Data Warehousing

AI is automating ETL, making data processing faster, more accurate, and cost-effective.

Firebolt Team

Cloud Data Warehouse vs. Data Lake: Which One Should You Choose?

Compare cloud data warehouses and data lakes and learn the key differences and how to make the right choice.

Firebolt Team

Cloud Data Warehouse vs. Traditional Data Warehousing: Why the Shift?

Discover why businesses are migrating from traditional to cloud data warehouses.

Firebolt Team

How Similarweb Serves 100s of TBs to Worldwide Users in Milliseconds

At SimilarWeb, we analyze internet traffic on a global scale, empowering clients with actionable insights.

Firebolt Team

Firebolt February Release Roundup: Versions 4.12 to 4.14 -> Faster queries, RBAC upgrades, and geospatial boosts

Recap of the three most recent releases in Firebolt, including changes from versions 4.12, 4.13, and 4.14.

Cole Bowden

AI and Data Movement: Trends and Best Practices with Estuary’s Daniel Pálma

Transform data engineering, marketing, real-time data integration and the use of AI with Daniel Pálma’s expert insights.

Firebolt Team

Architecture and Internal Representation of the GEOGRAPHY Data Type (Part II)

Discover how Firebolt structures & optimizes GEOGRAPHY data with S2 cells, shape indexes, and pruning for fast queries.

Demian Hespe

Building Geospatial Support in Firebolt (Part-I)

This blog post explores how Firebolt implements geospatial support under the hood.

Demian Hespe

Cloud Data Warehouse Solutions for Big Data Analytics

Discover the best cloud data warehouse solutions for big data analytics. Learn about features, & benefits.

Firebolt Team

Firebolt Welcomes Former Oracle and Confluent Leader Hemanth Vedagarbha as President, Overseeing Global Go-To-Market Expansion and Customer-Facing Operations

Firebolt names Hemanth Vedagarbha as President to lead global GTM expansion and scale its AI-powered data warehouse.

Firebolt Team

ETL Best Practices for Data Engineers

Discover top ETL best practices for data engineers to optimize workflows, improve performance, and ensure data accuracy.

Firebolt Team

Advanced SQL Query Techniques for Data Engineers

Advanced SQL techniques for improving query efficiency and system performance.

Firebolt Team

Big Data Challenges & How to Overcome Them

Discover the top big data challenges and learn practical solutions to overcome them.

Firebolt Team

Cloud Data Warehouse Best Practices: Tips for Maximizing Performance

Learn proven techniques to optimize cloud data warehouse performance.

Firebolt Team

Firebolt’s zero-copy clone

Firebolt’s Zero-Copy Clone Feature: A cost-efficient way to clone massive tables instantly without duplicating data.

Gil Cizer

Firebolt Trial For 30 Days With $200 Free Credits — Now Open to All

Firebolt now welcomes sign-ups with personal email addresses. Explore Firebolt’s low-latency, high-concurrency CDW.

Jonathan Thein

AI and Data Change Management with Chad Sanderson, CEO Gable AI

In this episode of The Data Engineering Show, Chad Sanderson explores the world of data change management.

Firebolt Team

From MySQL Bottlenecks to Firebolt Power: 28X Faster Analytics at Lower Cost

Vrio's CTO explores how Firebolt reduced ecommerce analytics latency from minutes to milliseconds, while reducing TCO.

Ryan McWilliams

Firebolt Features: Effortless Metadata Management For Faster Workflows

Learn how Firebolt streamlines metadata management with zero-copy cloning, dynamic schema evolution for faster workflows

Jonathan Thein

Firebolt December Release Roundup: Versions 4.9 to 4.11 → Geospatial data, zero-copy cloning, and metadata operations

Firebolt delivers zero-copy cloning, a preview for processing geospatial data, and more this month.

Cole Bowden

Tech Stacks and Tradeoffs: Xudo's Founder on Picking the Right Tools for BI Success

Wouter Trappers shares his slightly unconventional path from philosopher to data consultant and engineer.

Firebolt Team

Firebolt DB Release Roundup: Release versions 4.6 to 4.8-> New Functions, Friendlier SQL, and Enhanced Performance

Firebolt DB Release Roundup: Release versions 4.6, 4.7 and 4.8

Tara Shankar Jana

Firebolt is Now Available in Asia Pacific (Singapore)

We're excited to announce that Firebolt is now available in the Asia Pacific (Singapore) region.

Manish Agarwal

5 Reasons to Use Firebolt

Firebolt delivers lightning-fast analytics with SQL simplicity, cost-effective performance, and high query throughput.

Cole Bowden

Mosha Pasumansky talks query subresult reuse at CMU

Mosha explained how Firebolt boosts query performance through query subresult caching and reuse techniques.

Cole Bowden

Data Rewind: Conversation Highlights from Zach, Matthew, Joe, and Krishnan

This is a special episode of The Data Engineering Show revisiting the best bits from three different fascinating episode

Firebolt Team

Building Customer Trust: A CISO's Perspective on Security and Privacy at Firebolt

Firebolt's commitment to robust security measures from day one ensures that every customer's data is protected.

Nir Yizhak

Firebolt is Now Available in EU-WEST-1

We're excited to announce that Firebolt is now available in the EU-WEST-1 region.

Krishna Thotapalli

The Resurgence of SQL: Insights from Ryanne Dolan from LinkedIn

In The Data Engineering Show, Ryanne Dolan from LinkedIn joins the Bros to discuss LinkedIn's Hoptimator project.

Firebolt Team

Fuzzing Firebolt: Catching 0-days as fast as our query processor

In this blog, we’ll highlight how we fuzz Firebolt’s blazing-fast query processor written in modern C++

Abhishek Sen

Primary Indexes in Firebolt: A Comprehensive Guide to Understanding, Managing, and Selecting

Discover how Firebolt's primary index optimizes data handling for large-scale analytics, enhancing query performance.

Hiren Patel

ELT with Firebolt using dbt

Deliver efficient ELT with the combination of Firebolt's elastic infrastructure and the simplicity of SQL models on dbt.

Connor Carreras

Low Latency Incremental Ingestion: Benchmarking Fast and Efficient DML Operations

Discover Firebolt's efficiency in incremental ingestion and DML workloads

Phil Simko

High Volume Ingestion: Scalable and Cost-Effective Data Loading

Explore Firebolt's bulk ingestion benchmarks, highlighting speed, cost-efficiency, and performance.

Phil Simko

Firebolt Unleashed: High Efficiency and Low-Cost Concurrency in Action

Explore Firebolt's cost efficiency with real-world data benchmarks highlighting low latency and high concurrency.

Hiren Patel

How we built Firebolt

This blog describes our thinking and guiding principles behind design choices while building Firebolt.

Mosha Pasumansky

Introducing Firebolt’s Next-Generation Cloud Data Warehouse

This blog is a GA announcement of Firebolt’s next-gen cloud data warehouse that delivers low-latency analytics at scale.

Tara Shankar Jana

Caching & Reuse of Subresults across Queries

Deep dive into how Firebolt optimizes query performance through caching and reusing results of parts of the query plan.

Alex Hall

Making a Query Engine Postgres Compliant Part I - Functions

Technical deep dive on how Firebolt evolved into a PostgreSQL-compliant database system.

Benjamin Wagner

How we serve data from millions of gaming channels to 50K customers using Firebolt

Read on to find out how Lurkit is using Firebolt over AWS to serve advanced gaming analytics

Tom Niskanen

Engines: Online Scaling and Upgrades

Uncover Firebolt’s Engine internals featuring zero-downtime upgrades, multi-dimensional elasticity, and granular scaling

Artem Grachev

Right size your engines and achieve unparalleled price-performance with firebolt’s granular scaling

Scale one node at a time to adjust compute resources incrementally, ensuring an ideal price-performance ratio.

Krishna Thotapalli

Announcing Firebolt Engines: Next-Generation Compute Infrastructure for Cloud Data Warehousing

Firebolt Inc., a cloud data warehouse provider, announced its next-generation compute infrastructure, Engines.

Krishna Thotapalli

Vector Databases Won’t Replace SQL - Andy Pavlo

Andy Pavlo, Associate Professor at Carnegie Mellon University, delves into database internals and optimization.

Firebolt Team

How ZoomInfo transitioned from data graveyards to ROI-driven data projects

Too often expensive resources and manhours are spent on dashboards no one uses, resulting in zero ROI.

Firebolt Team

Matthew Weingarten from Disney Streaming about Data Quality Best Practices

Principles essential for data quality, cost optimization, and data modeling, as adopted by the world's leading companies

Firebolt Team

Joseph Machado, Senior Data Engineer at LinkedIn talks best practices

Data engineering should be less about the stack and more about best practices.

Firebolt Team

Megan Lieu on powerful notebooks that enable collaboration

Megan Lieu about her approach to data advocacy as well as the power of notebooks

Firebolt Team

Transitioning from software engineering to data engineering

Every data team should have at least one data engineer with a software engineering background.

Firebolt Team

The key is in the key.

One of the more common and costly mistakes in the many data implementations is confusion about keys.

Robert Harmon

Simplifying time variance in a SQL data warehouse

An issue many coming into the data warehouse world is difficulty with is managing time variance at scale and efficiency.

Robert Harmon

"Do data architects exist anymore?"

"Do data architects exist anymore?" Wow, as a recovering data architect that's a loaded question.

Robert Harmon

Who's down with OBT? I can assure you, not me.

I'm not a fan of dimensional modeling. It exists to solve physical problems, not logical problems.

Robert Harmon

Rob's high performance data warehousing rule #4: Delete nothing, update only metadata.

Rob says: delete nothing, update only metadata.

Robert Harmon

Vin Vashishta explains why we should stop using dashboards

Vin Vashishta, the guy we all love to follow, has never seen a dashboard with positive ROI.

Firebolt Team

Rob's high performance data warehousing rule #3: Strong operational data store ensures high performance

This has nothing to do with the DW itself. But if you miss it, you'll fail with your warehouse project.

Robert Harmon

Rob's high performance data warehousing rule #2: There's no point in measuring anything, if the data team can't measure itself.

"There's no point in measuring anything, if the data team can't measure itself."

Robert Harmon

Rob's high performance data warehousing rule #1: if you cannot constrain a thing, you cannot ingest that thing.

"If you cannot constrain a thing, you cannot ingest that thing."

Robert Harmon

Joe Reis and Matt Housley on the fundamentals of data engineering

Joe Reis and Matt Housley joined the bros for some much-needed ranting, priceless data advice, and good laughs.

Firebolt Team

How IQVIA Maximizes Analytics Performance for Healthcare

IQVIA deep dive into maximizing impact of BI solutions for faster and more informed decision-making in healthcare.

Firebolt Team

Large scale data engineering at Momentive.ai - Meenal Iyer

Meenal Iyer, VP Data at Momentive.ai, talks about enforcing collaboration in large organizations

Firebolt Team

Data engineering from the early 2000s till today - BlackRock

When it comes to data management, have we come a long way since the early 2000s?

Firebolt Team

Bill Inmon, the Godfather of Data Warehousing

As people in the data industry go, Bill Inmon is among the top, often seen as the godfather of the data warehouse.

Firebolt Team

Data Management Lifecycle in Firebolt

Learn how the data management lifecycle looks like in Firebolt

Igor Stanko

Data quality with ‘dbt’ and Firebolt

dbt data quality - Implementing data quality tests and using dbt extensions for enhanced data quality checks.

Robert Harmon

A primer on analyzing semi-structured data

This guide will provide you with the fundamental knowledge necessary to handle semi-structured data effectively. 

Firebolt Team

Zach Wilson on what makes a great data engineer

How good you are at Spark or Flink ≠ how good you are at data engineering. Zach Wilson explains.

Firebolt Team

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