Analyze TBs of data in milliseconds

Firebolt combines Clickhouse speed with the simplicity and elasticity of a fully managed data warehouse

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Redshift vs Firebolt

6 reasons to add Firebolt to your stack

Low latency for your most complex queries

Deliver millisecond performance even for complex joins and aggregations with optimal query plans and indexes.

ANSI SQL standard compliance

Forget about proprietary SQL extensions requiring time and expertise. Leverage the simplicity of a fully managed warehouse with standard SQL and ACID compliance.

Workload isolation

Ensure consistent performance with isolated resources that don’t impact one another. All engines access a single version of truth, without data replication.

Efficient up and out scaling

Support dynamic scaling and concurrency needs with decoupled storage and compute and granular control over resources.

Fine-grained security and governance

Safeguard your data assets with a multi-layered security approach and streamline governance using organizations and accounts.

Best price-performance ratio

Scale resources up or down and leverage automatic stop and start based on actual usage, preventing over-provisioning and reducing costs.

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.

The Clickhouse alternative for low-latency analytics

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.

Loved by data and dev teams

Improved price-performance

“With Firebolt there’s a lower monthly cost and some very dramatic performance improvements. We’ve gone from minutes to seconds on particular sets of very tricky queries.”

Faster queries

"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 milliseconds."

Elastic scale and concurrency

“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.”

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.

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Yaron Cohen-Leo
‍BI Team Lead
Bigabid

Get started with Firebolt

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