END-TO-END LAKEHOUSE SOLUTION
FastLake is your ultimate solution for seamless Data Lake and Lakehouse management. It integrates all essential features, including data ingestion, storage, transformation, and visualization, into a single, powerful platform. Enhanced with advanced capabilities for data governance, orchestration, and quality assurance, FastLake eliminates the need for multiple tools and complex configurations. Everything you need for efficient data management is in one place — streamlined, ready, and easy to use.
LEARN MOREAUTOMATED CREATION OF RESOURCES
Simplify the creation of data lakes and lakehouses with our fully automated solution. No need to manually configure compute, storage, networking, or security — everything is automatically set up and pre-configured in under an hour. Powered by Azure services and advanced open-source tools working seamlessly in the background, our solution ensures you can focus on using your data rather than setting up infrastructure. Build smarter, faster, and easier.
LEARN MORESINGLE POINT FOR INFRASTRUCTURE MANAGEMENT
Manage your entire infrastructure effortlessly from a single, unified interface. Take full control with tools for visualization, configuration, monitoring, and billing, streamlining operations and reducing complexity. Easily start, stop, and manage individual components, configure the necessary compute resources, and access a host of additional features tailored to your needs. Everything you require for efficient infrastructure management is in one place — intuitive, comprehensive, and efficient.
LEARN MORECUTTING-EDGE DATA ENGINEERING UX
Our platform delivers a modern, intuitive user experience tailored for data engineering. With a Web IDE, declarative development, quality checks, and unit tests, it simplifies complex workflows while ensuring precision. Inspired by cutting-edge practices such as DataOps and Lakehouse Architecture, it redefines how data pipelines are built and managed. Enhanced by Generative AI it empowers engineers to work smarter, faster, and more efficiently.
LEARN MORE
A MODERN WEB-BASED IDE FOR DEVELOPMENT
Full support for SQL and PySpark for seamless data transformation.
Features like syntax highlighting, auto-completion, auto-formatting, and AI assistance.
Simplified workflows to reference source models without worrying about data location or format.
CODE EDITOR WITH A RICH FUNCTIONALITY
Load raw data and define file formats.
Write and test transformation code.
Materialize datasets and monitor quality.
POWERED BY APACHE AIRFLOW
Automatically generates Airflow DAGs based on dependencies in your transformation code.
Runs on Kubernetes, ensuring scalability, reliability, and seamless handling of large-scale workflows.
AUTOMATED ORCHESTRATION AND SCHEDULING
Automatically detects changes in source data and processes all affected downstream datasets.
Offers flexible scheduling and automation to streamline complex workflows.
ASSET-DRIVEN GOVERNANCE
Treats each dataset as a key entity with its own metadata and attributes.
Provides dataset-level data lineage and dependency inspection for better transparency.
DATA LINEAGE, UNIT TESTS, QUALITY CHECKS
Eliminates the need for a separate data catalog by integrating essential cataloging features.
Includes unit test and quality check results to ensure data integrity.
MANAGE AN ENTIRE INFRASTRUCTURE IN UI
View project resources and their relationships.
Access detailed billing dashboards, filterable by time and service.
Start, stop, or manage services directly from the DAG with clear service status indicators.
AIRFLOW, AIRBYTE, SUPERSET IN KUBERNETES
Airflow for workflow orchestration.
Airbyte for data ingestion.
Superset for data visualization.
CODE GENERATION BASED ON DATA SAMPLES
Add your OpenAI API key in the Infrastructure management tab.
Provide a data sample in the Code Editor.
Generate code for data processing without coding skills.
TEXT TO SQL WITH VANNA AI
Understands tables and data in your datasets.
Generates SQL code from human-readable text.
Set up the Vanna AI API key in the Infrastructure management tab.
Cloud SaaS
Built on Azure native services enhanced with open-source tools running in Kubernetes.
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Following best practices
Web IDE, Unit Tests, Quality Checks, In-built CI/CD, AI assistants
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Low cost
Serverless and autoscaling services, open-source tools, start/stop of components
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Scaling
T-shirt sizing of transformation jobs, Spark engine, unlimited object storage
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Seamless orchestration
Declarative pipelines, Auto-generation of DAGs, Automatic Refresh
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Transparency
All data, code, and configurations are stored in the Client's account
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