Blockfenders offers a self-hosted, cloud-agnostic data orchestration platform that automates the secure movement and transformation of siloed data across on-premises and cloud environments, enabling compliance with regulations like GDPR and HIPAA. The platform addresses the challenge of fragmented data access by providing a streamlined solution for organizations to gather, organize, and share data efficiently, reducing costs by up to 90% while maintaining data governance and privacy.
Funding
Funding not disclosed
NEFounders
Product
Problem
Organizations struggle to unlock siloed data across various on-premises and cloud environments, hindering their ability to gain faster insights. Gathering, combining, organizing, and sharing data for advanced AI and analytics is difficult while maintaining data processing within their own or trusted partner’s environments. Existing solutions are often cost-prohibitive, manual, and require significant effort, increasing the time to value.
Solution
Blockfenders offers a self-hosted, cloud-agnostic data orchestration platform as a service (PaaS) that automates secure, compliant, and performant data orchestration in real-time or batches. The platform streamlines the process of gathering siloed data from multiple storage locations, combining and organizing it, and making it available for analysis and modeling. It enables users to seamlessly connect data centers and transform data into a standardized format for better and faster insights, fixing the data supply chain to unlock data across organizational boundaries. Blockfenders is powered by built-in data governance, management, lineage, and privacy preservation.
Target Audience
The primary audience includes business, AI and analytics, and IT leaders who need to unlock siloed data and achieve faster insights, as well as data engineers and scientists who need to automate workflows across the entire data pipeline.
Features
- UI-based interactive experience with a messaging interface
- Built-in data catalog that can integrate with other catalogs
- Supports data transformations with SQL
- Automated pipelines and centralization
- Incremental data processing and pipeline development with upsert
- Data management at the individual record level
- Streaming data ingestion
- Clustering, compression, indexing, de-duplication, and ACID compatibility
- Pre-built data integrations
- Smart contracts based data governance
- Granular permissions and controlled data sharing
- Tamper-resistant data lineage and data source isolation
- Support for heterogeneous cloud and on-premise databases, lakes, warehouses, and applications
- Open table format and open-source data management
- Data protection & privacy preservation in data provider’s infrastructure itself using encryption, tokenization, and anonymization