
Firebolt is an analytical database that powers real-time applications using PostgreSQL-compatible SQL and Apache Iceberg, deployable on any cloud infrastructure or self-hosted environments.
Firebolt is a cloud-native analytical database designed for real-time and nearβreal-time data applications. It combines a Postgres-compatible SQL interface with support for Apache Iceberg, enabling teams to query both operational and analytical data with familiar tooling while leveraging modern table formats. Firebolt is optimized for sub-second query performance at scale, making it suitable for user-facing analytics, interactive dashboards, and high-concurrency workloads such as product analytics, personalization, and monitoring.
The platform supports deployment in any major cloud environment or self-hosted infrastructure, giving teams flexibility around data residency, security, and cost control. Firebolt provides fine-grained control over compute and storage, including the ability to independently scale resources, schedule workloads, and isolate performance-sensitive queries. Its architecture is designed to handle large datasets efficiently, with columnar storage, indexing, and query optimization that reduce latency and resource usage.
Please sign in to comment
π¬ No comments yet
Be the first to share your thoughts!
Explore 825+ top alternatives to Firebolt

Langflow is a low-code platform for building, configuring, and deploying agentic and retrieval-augmented generation applications using Python with various large language models and vector databases.

Scaleway is a cloud computing platform that provides infrastructure and managed services for building, training, deploying, and scaling AI models and applications.

Zenoss is a SaaS-based IT monitoring platform that collects, correlates, and analyzes full-stack infrastructure and application data to detect, diagnose, and predict operational issues.
Tencentcloud is a cloud computing platform that provides scalable infrastructure, AI services, and integrated tools for building, deploying, and managing applications across Tencentβs digital ecosystem.

Middleware provides full-stack observability, delivering real-time monitoring, diagnostics, and issue detection across applications and infrastructure while maintaining secure handling of operational data.

Dstack is an open-source control plane that schedules and manages GPU-based development, training, and inference jobs across cloud providers and on-premise infrastructure.

Cloud provides a suite of Google-managed cloud computing services for hosting applications, storing and analyzing data, building AI and ML solutions, and managing hybrid or multi-cloud environments.

Sematic is an open-source platform that orchestrates, executes, and manages end-to-end machine learning and AI workflows, including pipelines, dependencies, and infrastructure integration.