Take Command of Your Data Pipelines

Prevent failures, optimize performance, and minimize downtime with AI-powered pipeline observability

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TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Acceldata User

Enterprise

Benefitted a lot in Automating pipelines. Overall peace of mind while using the product because of robust security features.

Nikhil G.

GCP Data Engineer at TCS - Enterprise

It is one of the best data management tools I have seen. The user interface is very user friendly. Very useful while deploying the data pipelines and also streamline pipelines.

Acceldata User

Enterprise

Extremely efficient and effective tool for Automating, streamlining, and deploying data pipelines. Simple UI makes it easy to use.

Madhusudhan M.

System Engineer - Mid Market

While getting automatic and real time data insights, this software helped me extremely well. I was also impressed with fast debugging of issues and easy solutions to root cause.

Acceldata User

Small-Business

Acceldata is very useful if you want to compute deep insights from data, build pipelines and automate actions and also helps in alerting when pipeline fails.

Maximize Pipeline Efficiency and Streamline Operations

Ensure Data Quality and Reliability

Maintain high data accuracy and consistency with automated validation and continuous monitoring.

Scale and Optimize Pipeline Performance

Efficiently scale pipelines to handle growing data volumes while optimizing performance and resource use.

Manage Complexity and Prevent Downtime

Simplify complex data environments and prevent disruptions with proactive monitoring and rapid issue resolution.

Achieve Uninterrupted Data Flow and Peak Performance

Gain real-time insights, prevent disruptions, and optimize data flow for seamless operations

Monitor and Alert in Real-Time

Monitor your data pipelines in real-time to detect issues early and maintain system health.

Achieve Real-Time Visibility: Monitor pipeline health end-to-end with instant alerts for anomalies.

Implement Automated Detection: Use machine learning to detect and address issues in data freshness, volume, and schema changes.

Enhance Data Quality: Proactively maintain accuracy and consistency across all pipelines.

Optimize Performance and Eliminate Bottlenecks

Identify and resolve performance issues quickly to optimize the efficiency of your data pipelines.

Gain Performance Insights: Quickly identify and eliminate bottlenecks with detailed visualizations.

Manage Schema Drift: Detect and manage schema changes in real-time to maintain data integrity.

Monitor Data Cadence: Ensure timely data delivery by closely monitoring data cadence.

Resolve Issues Proactively and Validate Operations

Address potential issues before they impact operations and ensure compliance with operational requirements.

Leverage Predictive Analytics: Anticipate and resolve issues before they disrupt your data flow, ensuring pipeline reliability.

Conduct Operational Validation: Ensure your data operations meet standards and perform consistently.

Perform Full Data Reconciliation: Conduct comprehensive reconciliation to guarantee data integrity between source and target systems.

FAQ

Frequently asked questions about Data Observability

Does data leave my premises?

No, data processing stays on-premises, with only metadata sent to the control plane for analysis.

How does Acceldata handle data structure changes and schema drift?

Real-time schema tracking and automated adjustments ensure smooth handling of data structure changes and minimize disruptions.

Can Acceldata handle large-scale data pipelines without performance degradation?

Yes, Acceldata’s architecture is optimized for petabyte-scale data flows, maintaining performance even as your data volume grows.

How does Acceldata's Data Observability stand out?

Acceldata’s platform covers all five critical pillars: Data Quality, Data Pipeline, Data Infrastructure, Data User, and Data Cost. This AI-driven, integrated approach ensures complete visibility and control over your data ecosystem, empowering informed decisions, enhanced efficiency, and maximized ROI.

How does Acceldata integrate with dbt, Airflow, and Kafka?

Acceldata seamlessly integrates with dbt, Airflow, and Kafka, providing deep observability across data transformations, task scheduling, and real-time data streaming.

What happens if discrepancies are found during data reconciliation?

Acceldata alerts you immediately to any discrepancies, providing detailed reports for quick root cause analysis and resolution.

How customizable are the data validation and monitoring rules?

Acceldata supports highly customizable rules, including no-code, SQL-based, and custom code options to meet your specific needs.

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Take Command of Your Data Pipelines

Users Love Us

Acceldata User

Nikhil G.

Acceldata User

Madhusudhan M.

Acceldata User

Maximize Pipeline Efficiency and Streamline Operations

Ensure Data Quality and Reliability

Scale and Optimize Pipeline Performance

Manage Complexity and Prevent Downtime

Achieve Uninterrupted Data Flow and Peak Performance

Monitor and Alert in Real-Time

Optimize Performance and Eliminate Bottlenecks

Resolve Issues Proactively and Validate Operations

Frequently asked questions about Data Observability

Ready to get started

Expert-led Demos

30-Day Free Trial

Meet with Us