Acceldata Unclaimed

Achieve real-time data quality and observability with AI-powered automation and comprehensive governance.

ADOC enhances data governance while optimizing costs across multiple platforms.

End-to-end monitoring and detection across data pipelines to surface anomalies, provide root-cause analysis, and reduce pipeline downtime and data incidents.

Profiling, automated quality checks, no-code rule creation, and remediation to ensure accuracy, completeness, and fitness-for-use of enterprise data.

Policy enforcement, automated governance workflows, audit trails, and lineage to support regulatory compliance and cross-platform governance.

Visibility and controls to manage and optimize data platform spend, enforce FinOps governance, and reduce storage and compute costs across cloud and hybrid environments.

Observability, quality monitoring, and lineage for Hadoop and large-scale on‑premises big data ecosystems to prevent pipeline failures and ensure data reliability.

ADM Platform

ADM Platform (Agentic Data Management) unifies data quality, data observability, data lineage, data profiling, governance, and FinOps across data stacks. It uses AI-powered agents and the xLake reasoning engine to monitor, diagnose, and auto-remediate data issues in real time across on-premises, cloud, and hybrid environments.

• Automates Data Issue Management
  Utilizes AI agents for immediate detection and correction of data anomalies, ensuring continuous data integrity.
• Detect Anomalies
  Automatically identifies and alerts on data quality issues in real time, ensuring reliable data for decision-making.
• Ensures Compliance Through Traceability
  Maintains a clear path of data flow and transformations for effective audits and regulatory adherence.
• Provides Complete Data Visibility
  Enables monitoring of data movement from ingestion to output, ensuring anomalies are caught and addressed quickly.
• Enhances Data Integrity
  Quickly alerts teams to potential data issues, enabling proactive resolution and maintaining data reliability.
• Reduces Data Operational Costs
  Optimizes data spend through resource management and operational efficiency strategies.
• Simplifies Data Quality Assurance
  Allows teams to define and enforce quality checks without programming expertise, improving productivity.
• Improves Agent Performance
  Agents can recall historical data issues and resolutions to enhance their future operational effectiveness.
• Monitor Data Health
  Continuous monitoring of Hadoop environments to ensure high data integrity and performance.
• Maintains Data Governance Consistency
  Ensures all teams comply with established data handling and governance protocols.

ADOC

ADOC is Acceldata governance and cost optimization product, enabling governance and policy enforcement and cost control across data platforms.

• Maximize Data Spend Efficiency
  Optimizing costs ensures that financial resources are allocated effectively, allowing organizations to invest in growth while maintaining profitability.
• Detect and Resolve Issues Instantly
  Real-time capabilities improve data reliability by catching anomalies early, allowing organizations to make data-driven decisions without delay.
• Streamline Governance Processes
  Automated workflows enhance efficiency by minimizing manual intervention, thus ensuring timely compliance and reducing operational burdens.
• Uphold Data Integrity
  Maintaining strict adherence to governance policies ensures data quality and mitigates risks related to data leaks and compliance breaches.
• Ensure Compliance Transparency
  Audit trails enable organizations to meet regulatory standards by tracking data histories and origins, promoting accountability and trust.
• Achieve Unified Governance
  Ensures consistency in data governance across various platforms, reducing the risk of data mismanagement and enhancing compliance.