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Below is a quick comparison of performance on Apache Druid and Firebolt. This is a sample data set consisting of 100 million records on a single flat table. It should be noted that Druid consumes more disk storage and takes longer to ingest. Want to try it for yourself? Contact us to learn more about this benchmark.
Response time comparison of various queries on Firebolt and Druid:
Firebolt combines query performance that is as fast or even faster than Druid, with a modern decoupled storage and compute architecture. Offered as a managed service with SQL simplicity and zero infrastructure management.
Druid requires significant architectural planning and resources with specialized expertise to deploy, manage and scale. In contrast, Firebolt eliminates operational complexity, allowing you to focus on data analytics.
Druid is a customer managed processing engine designed primarily for OLAP use cases. Druid requires multiple role specific servers, external metadata store and deep storage, making it complex and resource intensive to size, deploy and manage.
Firebolt is a columnar Data Warehouse architected from the ground up for low-latency analytics workloads at TB++ scale with built-in storage optimization. As a SaaS offering, there are no instances or role specific servers to manage.
Installation, management, upgrades and scaling of a Druid cluster require extensive amount of resources. Requires careful planning and execution around server and storage sizing.
As a SaaS offering, Firebolt abstracts away the complexity of managing infrastructure. Scaling with cloud based resources is performed through Firebolt UI, SQL or APIs.
Druid does not leverage decoupled compute and storage. While it uses deep storage for persistence, it does not use this data for queries. Due to the reliance on memory and internal storage, Druid deployments need larger number of nodes.
Decoupled compute and storage is a key design element in Firebolt, allowing independent scaling of compute and unlimited storage. Provides control and visibility of resources for easy, cost effective scaling and workload isolation.
Druid complexity, in terms of infrastructure sizing and lack of decoupled compute and storage, results in unpredictable costs especially as your data volume grows.
Firebolt lowers TCO through granular choice of instances without the complexity of cluster configuration, scale to zero with auto-stop and optimized object storage format.
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