Provides a cloud-based platform for creating, governing, and distributing data products across enterprises without moving data from its source. It enables seamless data sharing, integration with tools and AI models, and the establishment of self-service data marketplaces, reducing the complexity and cost of data access and distribution.
Funding
$38.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
TGFounders
Product
Problem
Enterprises struggle to efficiently access, distribute, and govern their data assets, leading to slow insights, duplicated efforts, and increased security risks. Traditional data management approaches often require moving data from its source, adding complexity and cost. This makes it difficult for various teams and stakeholders to leverage data effectively for analytics, AI, and other business-critical applications.
Solution
Harbr provides a cloud-based data marketplace platform that enables organizations to create, govern, and distribute data products without replicating or moving the underlying data. The platform offers tools for data sharing, integration with existing analytics tools and AI/ML models, and the establishment of self-service data marketplaces. By providing a centralized and governed environment for data access, Harbr reduces the complexity and cost associated with traditional data management, while ensuring data security and compliance. This allows enterprises to unlock the value of their data assets and accelerate data-driven decision-making across the organization.
Target Audience
Harbr targets enterprise organizations across various industries seeking to improve data accessibility, governance, and monetization, including data leaders, CDOs, data engineers, data scientists, and business analysts.
Features
- Data product creation from any source without data replication
- Self-service data marketplace for easy discovery and access
- Integration with existing data platforms such as Snowflake, Databricks, AWS, Azure, and Google Cloud
- Governed access to AI models and analytics tools
- No-code data pipelines for efficient data distribution
- Role-based access control and data privacy management
- Support for various data asset types, including data tables, notebooks, code, visualizations, and AI models
- Integration with Microsoft Fabric, including Power BI dashboards and reports