$200 credits. No credit card needed. Free support.
Performance
Firebolt
Firebolt provides indexing, multi-stage query execution, and a history-based optimizer that leverages historical query execution information to deliver optimal query plans. This enables users to handle a wide range of complex queries fast and efficiently.
ClickHouse
While it provides high-performance for specific queries, Clickhouse lacks multi-stage query execution and query optimization capabilities (e.g. cost-based optimizer and limited query planner), resulting in slow joins and a lack of support for complex queries.
Elastic scaling
Firebolt
Firebolt offers multidimensional elasticity, workload isolation and global consistency across multiple clusters, facilitating easy scale up and out as well as updates. It maintains a single version of data and table definitions, enabling any engine to work with any database.
ClickHouse
Clickhouse relies on a single cluster that can be scaled, but requires provisioning additional data to scale further, creating duplicate clusters which cannot access the same dataset. Binding one engine to one database, it limits flexibility and necessitates data duplication to provide workload isolation across different workloads.
Ease of use
Firebolt
Firebolt emphasizes ANSI SQL standard compliance and simplicity. It offers out-of-the-box performance with options for customization, balancing the need for a managed service and ease of use with the ability to fine-tune performance as needed.
ClickHouse
Clickhouse uses proprietary SQL extensions, which can create a learning curve. It may require significant time and expertise, which can offset cost savings.
Memory management
Firebolt
Firebolt handles memory management, ensuring that workloads run smoothly even when cluster capacity is exceeded, with observability features to monitor resource usage.
ClickHouse
Clickhouse prioritizes in-memory operations for performance, which can lead to out-of-memory issues under heavy loads, requiring manual intervention.
The Clickhouse alternative for low-latency analytics
Firebolt
ClickHouse
Performance
Firebolt provides indexing, multi-stage query execution, and a history-based optimizer that leverages historical query execution information to deliver optimal query plans. This enables users to handle a wide range of complex queries fast and efficiently.
While it provides high-performance for specific queries, Clickhouse lacks multi-stage query execution and query optimization capabilities (e.g. cost-based optimizer and limited query planner), resulting in slow joins and a lack of support for complex queries.
Elastic scaling
Firebolt offers multidimensional elasticity, workload isolation and global consistency across multiple clusters, facilitating easy scale up and out as well as updates. It maintains a single version of data and table definitions, enabling any engine to work with any database.
Clickhouse relies on a single cluster that can be scaled, but requires provisioning additional data to scale further, creating duplicate clusters which cannot access the same dataset. Binding one engine to one database, it limits flexibility and necessitates data duplication to provide workload isolation across different workloads.
Ease of use
Firebolt emphasizes ANSI SQL standard compliance and simplicity. It offers out-of-the-box performance with options for customization, balancing the need for a managed service and ease of use with the ability to fine-tune performance as needed.
Clickhouse uses proprietary SQL extensions, which can create a learning curve. It may require significant time and expertise, which can offset cost savings.
Memory management
Firebolt handles memory management, ensuring that workloads run smoothly even when cluster capacity is exceeded, with observability features to monitor resource usage.
Clickhouse prioritizes in-memory operations for performance, which can lead to out-of-memory issues under heavy loads, requiring manual intervention.
Whether we have 100, 200, or 250 users accessing a BI tool, we need consistent sub-second query performance. Firebolt is a key partner for us.
Jeremy Stroud Director IT Architecture IQVIA
Firebolt immediately gave us faster performance at a much greater scale, which let our customers analyze huge datasets with sub-second performance. It also gave us the flexibility to deliver complex data features at a much faster pace.
Yoav Shmaria VP R&D, Platform. SimilarWeb
Firebolt is a massive improvement to our BI efforts. Using the same test dataset of 100 million records, other databases took minutes, Firebolt analyzed in seconds.
Yaron Cohen-Leo BI Team Lead Bigabid
Get started with Firebolt
Free credits. Free support. No credit card needed.
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