Easily connect data to Fyrefuse from any online cloud service, database, file store or message broker.
Leverage Fyrefuse's CI/CD integrations to operationalize your AI models and make them part of your data workflow.
Use our simple Web UI to design your data flow, from source to destination, including AI, DQ, data anonymizations, data encryptions and complex transformations, easily on Apache Spark. Then automate your complex workflows at speed upon events, schedules or other business rules
Add an SQL or Python transformation statements. Is just plain old engine-agnostic SQL or Python and doesn't require specialised knowledge of any Spark function.
Fyrefuse integrates Trino, the distributed SQL query engine designed to query large, distributed data sets, to provide federated queries to disparate systems, parallel queries, horizontal cluster scaling, and much more.
Clearly define the business requirements for specific data with automation rules to enforce in any step of your data orchestrtion pipeline.
Pipeline executions on Fyrefuse are run through Apache Spark engine, to build and automate data flows between cloud platforms, databases, file stores and event streams.
Fyrefuse offers DevOps Engineers two different approaches to choose from based on the Use Case.
A Unified Environment to Build, Orchestrate and Monitor Data Workflows and to Centralize Data Exploration for AI and analytics
Fyrefuse runs with standard containerized tooling and lets you reduce i/o related costs on your Private or Public Cloud.
Enable users to access Fyrefuse delegating the authentication to your organization's preferred identity provider.
Interoperability with the data lakehouse architectural pattern to manage data on private and public cloud storage (such as S3, GCS, ADLS) in table formats like Apache Hudi, Apache Iceberg and Delta Lake.
Levarage our 2 Ways Seamless Integration with Major Git Repositories.
Fyrefuse integrates Apache Spark and Trino, the distributed SQL query engine designed to query large, distributed data sets, to provide federated queries to disparate systems, parallel queries, horizontal cluster scaling, and much more.
Automate complex pipelines and SQL queries at scale
Fyrefuse's low-code platform, with its modern user-friendly interface, makes data exploration and analysis straightforward and accessible. Say goodbye to complex coding and complicated configurations.
With Fyrefuse, sophisticated storage and analytics meet an extensive selection of connectors. This platform brings together data from every internal and external source, allowing data processing and exploration all in one place.
Experience optimized performance that accelerates data operations. Fyrefuse is designed for speed, efficiently transforming vast, complex datasets into actionable insights. Facilitate immediate decision-making with fast-executing pipelines
Easily connect data to Fyrefuse from any online cloud service, database, file store, message broker or application.
Discover how Fyrefuse turns complex data challenges into opportunities for insight and efficiency across various sectors.
AI and NLP unlock predictive service quality improvements, enabling focused inspections and elevating guest experiences with fyrefuse’s advanced data insights.
Fyrefuse revolutionizes grid management with telemetry data and AI analytics, facilitating predictive maintenance and operational efficiency for reliable energy distribution.
Fyrefuse transforms data integration with a data lakehouse and Delta Lake's table formats, merging diverse data sources into a unified, accurate, consistent, and scalable environment. This optimizes query performance and real-time analytics, redefining enterprise data standards.
May 16, 2022
by: Fabrizio Rocco
5 min read
May 6, 2022
by: Fabrizio Rocco
5 min read
April 20, 2022
by: Fabrizio Rocco
5 min read
