Firebolt Reviews

We use Firebolt to power our Business Intelligence and Analytics module in our enterprise SaaS app. With our main transactional database being Postgres, and Firebolt being Postgres-API compatible, it was very easy to write the ELT process for the transactional data in our main database to the data warehouse in Firebolt.

Our developers are also able to write Firebolt queries with ease, and the aggregate indexes have been extremely helpful at ensuring very fast performance given our reports group on many columns at once.

**UPDATED: I wanted to update this review to reflect current thoughts especially after migration to the newer platform. Speeds have been markedly improved over the already fast engines that we had been used to. Engines are now multi-purpose. The .Net SDK has been improved dramatically. Support through our platform migration was top notch. Basically all of the great things about Firebolt have been doubled down and made greater.

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Original review:

It has great speed and performance. It allows me to handle large datasets and complex queries in a fraction of the time. It also offers a flexible pricing model, which allows me to pay only for the compute resources I actually use. This is very cost-effective for me as I have variable workloads and don't want to pay for unused capacity.

I have been using firebolt for quite some time and till now I have enjoyed using it and its interface. As of now I dont think that there is something in Firebolt that I dont like about.

Traditional data warehouses are often slow and inefficient when it comes to querying and analyzing large amounts of data. But Firebolt solves this problem of mine by using a unique indexing technology and a cloud-native architecture that enables it to deliver fast query performance even on very large datasets.Traditional data warehouses are very expensive to set up and maintain, especially as data volumes grow. Firebolt's cloud-native approach and pay-as-you-go pricing model make it more cost-effective than traditional data warehouses, allowing me to save money while still getting the analytical insights I need.

It is a cloud data warehouse that offers high performance, scalability, and cost-efficiency, which are some of the most important features that I typically look for in a data warehousing solution.

Its unique architecture is built around the use of low-cost storage options, which help me save money on storage costs compared to traditional data warehousing solutions.

Firebolt is a relatively new technology, so it does not have the same level of community support or third-party integrations as some more established data warehousing solutions.

Performance:It is built to handle complex data workloads and execute queries quickly, even on large datasets. This helps me save time and resources by enabling me to process and analyze data more efficiently.

I like how fast it is to run queries and retrieve data using Firebolt. It is really good and our performance increase exponentially when we moved our data from on premise to Firebolt.

Right now the integration works very well. But I think it would be really good if we are able to seemlessly integrate with many services out of the box with minimal adjustment.

We use Firebolt to host our data. All of our data was moved from on premise database server to Firebolt could database server. And every day we ran thousands of queries to retrieve data from Firebolt.

.The performance is great on multi-petabyte datasets

There are some missing functionalities in the product

Performance issues when analyzing and querying huge datasets

Firebolt delivers outstanding query speeds, not seen by other DWH solutions. In addition, they provide a very flexible, pay as you go, pricing model.

There are still some missing features that are provided by other offers, like other CRUD operations besides SELECT and INSERT or missing RBAC permissions. Since the development of the platform is still very active, I assume these features will be added soon to the product.

Having tried different data stores for our data needs, we came to Firebolt as our DWH solution, as it offers great support and a very competitive pricing model. It helped us solve the scaling and storage needs for our data sets since we can just push our data into S3 and ingest it easily into firebolt for querying.

Firebolt makes it easy to index and query semi-structured JSON data, as well as import database snapshots, which allows us to aggregate data from many sources to answer questions, generate reports, and explore data.

Firebolt could do a better job of explaining the underlying error when querying data from an external data source. When a service error occurs, Firebolt could pass through more information to help identify the source of problems, for example, when network errors or permissions errors arise.

We want to ingest data from our game services and 3rd-party services providers, along with database snapshots, to generate scheduled automated reports and create explorable data dashboards. We further want to be able to quickly answer ad hoc queries based on summarized data. Firebolt, along with Tableau (for visualization & data exploration) and Prefect.io (for data ingestion and automation), allow us to solve for these requirements.

Its battery performance and SPO2 sensors.

It is awesome product to invest.

Its camera shutter feature is complex and couldn't find how to use. And we camnot change volume of musin from watch

I can get all reminders timely and can recieve every call even if my mobile phone is in silent mode.

.Complicated queries in a speed we never saw before

They still need to work on some bugs and the transition of existing assets

We don't need to wait anymore for a long query results