Sidra Data Platform is a PaaS solution that enables rapid deployment of an Enterprise Data Platform on Microsoft Azure, allowing organizations to implement data projects in under a day while ensuring data remains within their cloud environment. It automates ETL processes and provides multimodal storage, enhancing data governance and availability while significantly reducing implementation time and costs by up to 80%.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face challenges in rapidly deploying and managing enterprise data platforms, often encountering lengthy implementation times and high costs. Traditional SaaS solutions may also require data to leave the customer's cloud environment, raising concerns about security and control.
Solution
Sidra Data Platform is a Platform-as-a-Service (PaaS) solution designed to expedite the deployment of enterprise data platforms on Microsoft Azure. It provides a framework for agile development of complex data projects, automating ETL/ELT processes and offering multimodal storage capabilities. By deploying directly within an Azure subscription, Sidra ensures data remains within the customer's cloud premises, enhancing data governance, security, and compliance. The platform aims to reduce implementation time and costs through pre-engineered building blocks and automated deployment processes.
Target Audience
Sidra Data Platform targets system integrators, consultancy companies, and enterprise customers who require a rapid and secure deployment of data projects on Microsoft Azure.
Features
- Automated ETL/ELT pipeline generation for data loading, movement, and processing.
- Multimodal storage supporting various data sources, including databases, APIs, documents, and media files.
- Web interface for self-service platform management and operational tasks.
- Integrated data warehouse and operational dashboards for monitoring data movements.
- Support for multiple Azure storage regions to enable advanced compliance scenarios.
- Integrated infrastructure and observability platform with automatic configuration using Azure artifacts.
- Complete data catalog with web UI and API access, including data lineage audit and traceability.
- Cost attribution capabilities for data product instances to different cost centers.
- APIs for integrating third-party tools in areas such as data catalog or data retrieval, along with a Python SDK for data scientists.
- Identity management via Identity Server.
- Support for both batch and real-time data loads.