False Analytics Claims

You can’t meet your query time SLAs without expensive transformation products

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Yes you can.

Firebolt’s unique indexing strategies coupled with highly scalable compute allow you to query directly against highly granular data.  So there’s no need for secondary transformations.

If you want scale, granularity, and cost efficiency, your queries won’t run fast. You can’t have it all.

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Yes you can.

Using a proprietary optimized storage format with indexing built into it, the data your queries are looking for can be found with dramatically less data scans, reducing query runtimes significantly. This ensures speed and cost efficiency even for scale and high granularity.

You can't run a data warehouse with a small team.

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Yes you can.

With Firebolt's amazing performance, neither development nor administration professionals need to waste time with unnecessary processes like complicated ingest, caching layers or esoteric data languages.  You can run a lean and mean team that consistently delivers value to customers.

You can't achieve high price/performance with high relational fidelity

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Yes you can.

At Firebolt, we believe joins aren't a luxury, they should be a commodity.  Highly normalized structures should be a first class citizen.  You can spend your time developing solutions that provide value, rather than wasting time denormalizing for a platform that can't perform without it.

Speed, capacity, ease of use.  You can't have all three

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Yes you can.

We've spent a lot of time working on all three.
1. Firebolt is natively efficient due to indexing.
2. With separated storage and compute, data volume increases don't linearly increase compute.
3. With a very user friendly GUI, numerous APIs and SDKs, and allowing all activities to happen in very familiar SQL, it's a very natural platform.

You can’t give your customer facing apps direct access to your data warehouse

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Yes you can.

Firebolt is designed to handle massive concurrency.  It’s more than capable of supporting customer facing applications.  And if the workload increases, just scale your engines.

You can’t run more than 20 concurrency queries without compromising performance

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Yes you can.

Firzebolt’s ability to analyze TB+ scale data in sub-seconds, while keeping hunger for CPU low, means that a single cluster can easily handle hundreds of concurrent queries. If the workload increases, just scale your engines.

You can’t query semi structured data quickly in a data warehouse

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Yes you can.

With Firebolt’s advanced JSON and array functions, Firebolt has the capacity to index by values nested deep inside JSON objects.  You can have the best of both worlds, flatten out json elements into individual columns on ingest, or load entire json elements into a column and index where appropriate

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