Tired of Paying More for Slower Data Warehouse Performance?

Hey Data Engineers,

As data-driven organizations strive to achieve faster insights and scale to meet the growing demands of data-intensive applications, I’ve noticed a persistent challenge that many teams are facing: their existing Data Warehouses (DWH) just can’t keep up. Performance issues, high costs, and the need for scalability are growing concerns, but these challenges can be solved with the right architecture.

I’ve been exploring how modern cloud data warehouses can solve these problems, and it’s clear that traditional DWHs are not built for the demands of today’s data-intensive applications. They often force data engineers into a tough spot: either you get fast analytics through a query accelerator (which adds data refresh issues that eventually impact getting access to data quickly) or you keep costs low—but not both.

Enter Firebolt- a next-gen cloud data warehouse engineered for low-latency analytics, that addresses these challenges head-on.

Why Firebolt Is Different

Unlike traditional solutions, Firebolt’s cloud-native architecture ensures you get the following:

• 10x Faster Analytics at petabyte scale with millisecond query performance.

• High Query Throughput: Handle up to 4000 queries per second, no problem.

• Flexible Infrastructure: Independently scale compute, storage, and metadata to optimize cost and performance.

• Full SQL compatibility: Making it simple to integrate with your existing workflows and connectors.

Also, I got to speak with the CEO and Co-Founder of Firebolt, Eldad Farkash. Excellent insights, and here’s the link for your learning.

A Real-World Example

Take Similarweb, for example- Firebolt’s marquee customer. They’re processing 100 queries per second on 1PB of data, achieving sub-second response times. For them, Firebolt’s speed and scalability are game-changers in driving their data-driven website analytics platform.

Similarly, Bigabid saw query performance improve by 400x after moving to Firebolt, enabling them to optimize 1 million ad auctions per second in real-time. These examples show how Firebolt allows organizations to scale their data analytics without compromising on performance or cost.

You can read more in detail in the case study section here

Why This Matters for You

As data engineers, you are tasked with ensuring your infrastructure is fast, reliable, and cost-effective. If your DWH is slowing you down, you risk falling behind. The need for instant analytics and high scalability has never been more urgent, especially as companies build customer-facing applications and analytics systems that demand sub-second response times.

With Firebolt, you get a platform built specifically for modern, data-intensive applications. You can scale seamlessly, deliver faster insights, and keep costs predictable—all while maintaining the full SQL compatibility that you rely on.

Let’s Explore More: Firebolt’s Value

• High Efficiency: Achieve faster analytics with a low price/performance ratio, even as data volume increases.

• Elastic Infrastructure: Scale resources independently based on workload needs, without the need for complex configuration or costly overprovisioning.

• SQL Simplicity: With PostgreSQL-compliant SQL, you can leverage existing knowledge and workflows to work more efficiently.

Get Started Today

If you’re ready to break free from the limitations of your current DWH and achieve 10x faster analytics, start today with $200 in free credits—experience how Firebolt can help you scale effortlessly while keeping costs in check.

Some Resources for Your Learning

Learn how to optimize query performance, reduce costs, and future-proof your data warehouse strategy.

• Whitepaper: Read the Cloud DWH Whitepaper​

• Why Firebolt?- 5 Reasons to Use Firebolt​

• Product Updates: Enhanced query performance and new integrations.​

• Case Studies: See how our customers achieve 10x faster analytics with Firebolt.​

• Technical Videos (FireEdge): Technical talks and explainers about how Firebolt works​

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Let’s continue the conversation.​
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