About Bruin

Bruin is an online platform that enables data analysts to transform and share data using SQL and Python without the need for custom coding, while ensuring data quality through built-in checks and monitoring. It simplifies the creation of reliable data pipelines by automating data ingestion, transformation, and lineage tracking across various databases.

```xml <problem> Data analysts often face challenges in building and maintaining reliable data pipelines due to the complexity of integrating various data sources, transforming data using different languages, and ensuring data quality. This process typically requires custom coding and manual effort, leading to increased development time and potential errors. The lack of automated data lineage tracking also makes it difficult to identify the impact of changes and dependencies between teams. </problem> <solution> Bruin is a unified analytics platform that simplifies data engineering by providing built-in operators to ingest, transform, and share data across various databases. The platform parses Git repositories to automatically build data pipelines from SQL and Python files, eliminating the need for extensive custom coding. Bruin incorporates data quality checks, allowing users to define custom SQL checks to ensure data accuracy. The platform also automates data lineage tracking, providing a unified view of data dependencies and enabling users to identify the impact of changes across teams. </solution> <features> - Built-in operators for copying data between various sources and destinations. - Automated data pipeline creation from SQL and Python files stored in Git repositories. - Support for custom SQL-based data quality checks with alerting. - Automated data lineage tracking across platforms, from raw data to final reports. - Cost and usage tracking at the asset level for cloud data warehouses. - Native Python support for running ML and AI workloads within data pipelines. - Blocking by default to prevent bad data from being used by downstream assets. </features> <target_audience> Bruin is designed for data analysts and data engineers who need to build and maintain reliable data pipelines without the complexity of custom coding and manual processes. </target_audience> ```

What does Bruin do?

Where is Bruin located?

Bruin is based in Berlin, Germany.

When was Bruin founded?

Bruin was founded in 2023.

How much funding has Bruin raised?

Bruin has raised 20000.

Location

Berlin, Germany

Founded

2023

Funding

20000

Employees

14 employees

Major Investors

Techstars

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Bruin

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Executive Summary

getbruin.com 1K+

Crunchbase

Founded 2023 – Berlin, Germany

Funding

Estimated Funding

Major Investors

Techstars

Team (10+)

No team information available.

Company Description

Problem

Data analysts often face challenges in building and maintaining reliable data pipelines due to the complexity of integrating various data sources, transforming data using different languages, and ensuring data quality. This process typically requires custom coding and manual effort, leading to increased development time and potential errors. The lack of automated data lineage tracking also makes it difficult to identify the impact of changes and dependencies between teams.

Solution

Bruin is a unified analytics platform that simplifies data engineering by providing built-in operators to ingest, transform, and share data across various databases. The platform parses Git repositories to automatically build data pipelines from SQL and Python files, eliminating the need for extensive custom coding. Bruin incorporates data quality checks, allowing users to define custom SQL checks to ensure data accuracy. The platform also automates data lineage tracking, providing a unified view of data dependencies and enabling users to identify the impact of changes across teams.

Features

Built-in operators for copying data between various sources and destinations.

Automated data pipeline creation from SQL and Python files stored in Git repositories.

Support for custom SQL-based data quality checks with alerting.

Automated data lineage tracking across platforms, from raw data to final reports.

Cost and usage tracking at the asset level for cloud data warehouses.

Native Python support for running ML and AI workloads within data pipelines.

Blocking by default to prevent bad data from being used by downstream assets.

Target Audience

Bruin is designed for data analysts and data engineers who need to build and maintain reliable data pipelines without the complexity of custom coding and manual processes.