Do you use a database for processing?

No. We have our proprietary High-performance in-memory engine and a scalable big-data engine. This helps lower your database load and costs.

Where is the software deployed?

Companies can opt for the SaaS option on AWS or the self-managed on-premises options.

Do you have access to our data?

No. The customer controls data access for both the SaaS and on-premises option.

What is the license based on?

It’s a consumption-based license per user per server or enterprise.

Data Monitoring

Enable checks and controls while processing data.

Once data is integrated, it’s very expensive to undo. Implementing effective checks and controls prevents bad data from entering the processing pipeline. Additionally, if any errors are detected, it’s crucial to stop processing for mitigation.

Several of the largest banks, insurance companies, and healthcare enterprises use our platform to monitor their data pipelines in production.

For a more in-depth explanation, refer to Data Monitoring Concepts.

USE CASES

Data Pipeline Monitoring - iceDQ

Data Pipeline Monitoring

Input Data & File Monitoring

Input Data and File Monitoring

Data Testing Icon

Whitebox Monitoring

HOW IT WORKS?

KEY BENEFITS

	Validate Input Data & Files		Faulty input data from data providers often creates issues in downstream processing. Timely verification before processing saves remediation costs, reduces wasted time, and ensures operations meet their SLAs.
	Stop Faulty Process in Production		A faulty process can corrupt data. However, reconciling input and output data based on business rules allows the support and operations teams to take corrective actions before the data is delivered to users.
	White-Box Monitoring		By integrating data audit rules within operational dataflows using iceDQ, you can achieve white box monitoring by embedding controls and checks directly into your production environment.
	Enforce Data Contracts		Monitoring and measuring data quality and delivery metrics against SLAs and data contracts helps ensure accountability and provides historical data for enforcement.

FEATURES

VALIDATE DATA

Validation rule allows users to validate and monitor the formats, lengths, ranges, business logic, and other aspects of data in a specific dataset.
RECONCILE DATA

Continuously monitor production data using reconciliation rules. These rules compare data between source and target, including database-to-database, database-to-file, API-to-database, BI reports-to-database, and more.
ORCHESTRATE COMPLEX WORKFLOWS

Use our workflows feature to run a collection of rules in a sequence for regression testing ensuring comprehensive monitoring and timely issue resolution.
ALERTS & NOTIFICATIONS

When a defect is detected, timely alerts and notifications with relevant information shorten the turnaround time for escalation and corrective actions.