AI-driven DataExplorer debuts from Pointfive, granting direct access to their multicloud Data Fabric
PointFive, a specialist in cloud efficiency posture management, has launched Data Explorer – a natural-language query interface for multi-cloud data. This new layer of PointFive's Cloud Efficiency Posture Management platform is designed to simplify data access and analysis across various cloud environments.
Data Explorer is now available to all PointFive customers. Interested parties can request a demo at PointFive.co/demo.
Rapid Onboarding and Scalability
One of the key features that sets Data Explorer apart is its rapid onboarding and effortless scaling across multiple cloud environments. It supports over 100 AWS and GCP accounts without performance loss, making it an ideal solution for enterprises with extensive cloud infrastructure.
A Single Source of Truth for Cloud Cost Optimization
Data Explorer provides a single source of truth for cloud cost optimization and waste identification across diverse cloud providers. With this tool, teams can self-serve analytics and cost control independently, reducing operational burdens on central teams.
Proactive Cost Prevention
Data Explorer's automation and scheduling features also include proactive cost prevention. The platform automatically identifies waste patterns such as idle resources or overprovisioned instances, enabling teams to address inefficiencies as they emerge rather than reactively.
User-Friendly Interface and Robust Integration
The interface of Data Explorer is intuitive, allowing advanced users to query their data in plain English. For more sophisticated queries and reports, users can switch to the built-in SQL editor. Data Explorer also simplifies connecting multiple cloud providers into a unified data view, avoiding the silos common in multi-cloud environments.
In summary, PointFive’s Data Explorer offers a highly scalable, user-friendly, and proactive multi-cloud data access and analysis platform focused on cost efficiency and cloud resource optimization. This addresses common challenges in multi-cloud ecosystems, such as data fragmentation, slow integration, and difficulty scaling analytics across many accounts.
For more information about PointFive and Data Explorer, please contact Omri Hurwitz at [email protected]. PointFive provides services for managing resources responsibly across AWS, Azure, and GCP.
- PointFive, a company specializing in cloud efficiency posture management, has presented Data Explorer, a natural-language query interface that simplifies data access and analysis across various cloud environments.
- Data Explorer's unique features include rapid onboarding and effortless scalability across multiple cloud environments, supporting over 100 AWS and GCP accounts without performance loss.
- This tool provides a single source of truth for cloud cost optimization and waste identification across diverse cloud providers, allowing teams to self-serve analytics and cost control independently.
- Data Explorer includes automation and scheduling features for proactive cost prevention, automatically identifying waste patterns to enable teams to address inefficiencies as they emerge.
- The interface of Data Explorer is user-friendly, allowing advanced users to query their data in plain English, with a built-in SQL editor for more sophisticated queries and reports.
- Data Explorer simplifies connecting multiple cloud providers into a unified data view, addressing the common challenge of data fragmentation in multi-cloud environments.
- PointFive's Data Explorer is a highly scalable, proactive, and user-friendly multi-cloud data access and analysis platform focused on cost efficiency and cloud resource optimization in the technology industry, including finance and business sectors, and data-and-cloud-computing environments.
