OVHcloud launches all-in-one data platform for analytics & AI
The Data Platform, according to OVHcloud, offers end-to-end capabilities for data collection, storage, processing, analysis, and visualisation in a cloud environment that aims to address the challenges of increasing data volume, complexity, and the growing adoption of artificial intelligence tools.
Built on open-source technologies, the solution is aimed at helping organisations avoid dependency on major cloud hyperscalers and is pitched as particularly relevant for highly regulated industries and any business concerned with data sovereignty and vendor lock-in.
"With the launch of OVHcloud Data Platform we are providing customers with a complete and integrated solution for their data journey. Businesses can leverage their data to find new insights through AI and analytics projects. We are proud to deliver this important milestone having implemented customer feedback throughout the Beta phase," said Alexis Gendronneau, Chief Data Officer OVHcloud.
The platform consists of a set of managed services, including data streaming, storage, pipeline orchestration, and advanced visualisation and exploration tools. Users are able to focus on utilising data for value creation rather than managing infrastructure, according to the company.
Target use cases span several sectors. For retail and e-commerce, the platform is designed to assist in identifying customer groups and predicting inventory needs. In financial services, it provides tools for portfolio risk assessment, fraud detection, and credit scoring. Healthcare use cases include analysis of clinical trial data to speed up drug development. The platform can also measure key performance indicators for media and entertainment advertising campaigns and perform audience sentiment analysis. In Industry 4.0 settings, it may be used for supply chain optimisation, predictive maintenance, and quality control.
The platform supports a broad spectrum of data sources, including Object Storage, Apache Kafka, ClickHouse, MongoDB, MySQL, Oracle, HTTP/FTP, Google Analytics, Google BigQuery, Snowflake, X, the OVHcloud API, and others. Data can be processed, stored, and made available for analytics and sharing via built-in applications or APIs.
Listed technical features include compatibility with languages and frameworks such as ANSI SQL, Python, Apache Iceberg, Spark, Pandas, Jupyter notebooks, Trino, SuperSet, Prometheus, and Kubernetes. The solution has been optimised using technology developed by ForePaaS, which OVHcloud acquired previously, and is now integrated within the wider OVHcloud portfolio.
OVHcloud presents the Data Platform as suitable for use by data engineers, analytics engineers, data analysts, data scientists, and dataops teams, providing a single user interface aimed at facilitating cross-department data collaboration. The service is available for businesses of varying sizes, including small and mid-size companies requiring advanced analytics services.
The workflow of the Data Platform can be further enhanced with OVHcloud's AI Endpoints for tasks such as document data extraction, multi-modal transcription, automated data cleansing, or anomaly detection. The service integrates with serverless GPU-powered OVHcloud AI Training and AI Deploy services, supporting the acceleration of data-to-model lifecycle processes.
On data sovereignty and security, the company states that all data is hosted in OVHcloud's European cloud infrastructure, designed to meet high security and compliance standards. "Data is hosted in Europe, providing protection against non-European regulations and giving organisations technical and strategic autonomy. The platform is also based on open-source technologies, providing users with superior data portability, control and freedom of choice," the company stated.
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