"Experience Real-Time Monitoring and Seamless Communication - Sign Up for a Free Trial Today!"

Trusted by innovative companies

Modernize your analytics platform by integrating cloud-based Data Reconciliation, Data Quality and Data Observability tool to automatically detects 100% of all data quality issues with minimal human intervention using Al/ML

Our Solutions

AUTOMATE DATA RECONCILIATION

Connects to many sources and target systems and automates data reconciliation.

DATA ANOMALY DETECTION

Run SQLs on regular basis in your analytics platform, detects anomalies & create alerts.

AUTOMATE DATA TESTING

Automates ETL testing when you change code or copy data between systems.

IMPROVE DATA QUALITY

Enhances Data Quality and Builds trust in your data.

AUTOMATE DATABASE DEPLOYMENTS

Automates Schema Compare, Prepare Deployment Script & Integrate With Source Control.

PREVENT PIPELINE FAILURES

Create ER Diagram and Perform Schema Compare to Create Deployment Script.

GENERATE DB DEPLOYMENT SCRIPT

Centralize Data Masking rules & row access policy and access provisioning.

GIT AND DEVOPS INTEGRATION

Automates Schema Compare & Synch database with your Version Control tools.

DataQuality-Data Reconciliation-Monitoring-with-Governance-Controls

RECONCILE DATA AUTOMATICALLY AFTER EVERY DATA LOAD

After every data load into your analytics platform, even though ETL runs successfully, how can we be sure data in analytics platform reconciles with source system? 4DAlert’s AI/ML based API solution reconciles data between analytics platform and source systems and certifies the accuracy of the data. This helps to detect and alert before users complain about the data.

LEVERAGE DATA OBSERVABILITY AND MONITOR THE OVERALL HEALTH OF PLATFORM

4DAlert’s data observability module identifies and helps you troubleshoot and work to avert data-related issues across all data platforms within your analytics landscape. The solution leverages machine learning to generate adaptive rules and criteria, helps identify the root causes of the issues and fix systemic problems.

4DAlert Prevent data quality problems in analytics with early warnings.

DETECT DATA ANOMALY AND ALERT BEFORE USERS DETECT THE ISSUE

4DAlert’s data observability module identifies and helps you troubleshoot and work to avert data-related issues across all data platforms within your analytics landscape. The solution leverages machine learning to generate adaptive rules and criteria, helps identify the root causes of the issues and fix systemic problems.

AI/ML TO IMPROVE DATA QUALITY

In built AI/ML module leverages pre-built rule catalog to check data quality issues such as blank vs non-blank, unique vs non-unique, outlier detection, enumeration check, range check, address check, duplicate checks etc and calculate overall data quality index for the enterprise.

4DAlert Your Key to Reliable Data & Optimal Decision-Making Empower Data-Driven Strategies with Reliable Data via 4DAlert
AI/ML-driven data quality monitoring proactively identify and address data errors for optimal data use.

DATA RELIABILITY DELIVERED

Start building trust in your data. Be the first to know when data breaks before your users tell.

An end-to-end solution for continuous integration and continuous delivery (CI/CD) for all database changes.

THE SOLUTION ENABLES AUTOMATIC DATABASE SCHEMA TO COMPARE BETWEEN DEV AND PRODUCTION OR DEVELOPMENT AND SOURCE CONTROL TOOLS SUCH AS GITHUB, DEVOPS, GITLAB, AND BITBUCKET GENERATE DEPLOYMENT “ALTER” SCRIPTS, MAKING THE PRODUCTION DEPLOYMENT PROCESS REPEATABLE AND ERROR-PRONE.
01

DATA ENGINEER

Create an automatic deployment script. Conduct automatic testing prior to production deployment. Collaborate among team members. Push code to source control tools such as GitHub, GitBucket, and GitLab.

02

CHIEF DATA OFFICER

Repeatable error-free change management process. Less outage due to schema change or broken pipeline. High team morale and user confidence on the analytics platform.

03

END USER

Frequent code moves to production allow new functionality to be available quicker. Higher data quality. No system downtime.

Avoid manual effort to reconcile data. Detect data Issues early before users are

AUTOMATE DATA RECONCILIATION BETWEEN SOURCE AND TARGET, IDENTIFY DATA ISSUES EARLY, AND PROACTIVELY MITIGATE OR NOTIFY USERS.

DATA ENGINEER / TEAM

Avoid Manual Data Reconciliation.
Automated Pipeline or ETL Testing.
Compare Schema and Prepare Database Deployment Script.
Integrate with GIT and DevOps.
Deploy changes With Confidence.

CHIEF DATA OFFICER

Build trust and confidence in data among end-users.
Prevent data downtime by adopting reliable and repeatable change deployment.
Establish a data quality culture and increase adoption of analytics platform.

END USER

Generate insights without worrying about data issues.
Be aware of data issues prior to using data for critical decisions.
Avoid manual data reconciliation efforts.

ALL UPPER CASE

Generate insights without worrying about data issues. Be aware of data issues prior to using data for critical decisions. Avoid manual data reconciliation efforts.

DATA RECONCILIATION, DATA QUALITY & DATA SECURITY EITHER ON PREM OR IN THE CLOUD

Manage Your Modern Analytics Platform efficiently, save manual effort, create trust and build a brand among your user community

Stay in control of your data. Get notified on data issues before users use bad data to take wrong decisions.

Solution in cloud or on prem

Integrates with other systems within your landscape.
Fits within your modern data stack.
Saves manual effort and optimizes work flow.

Enterprise ready

Integrated with SSO and compliant with security requirements.
Scales with billions of rows.
Deploy within On-prem or cloud.

Immediate impact

Minimize risk, compliance and other data issues.
Create trust and brand among users.
Increase productivity and quality of your data platform.

Integrates with the modern data stack

Integrations with the most used databases

Let us see what our customers have in their minds.

4DAlert Customer Senior Director of Analytics

Good Job 4DAlert. Your data reconciliation alert program is helpful. Automatic data algorithm helped us trap many data quality issues, without which our business users would have taken critical decisions based on wrong data. With 4DAlert in action, we have never been so confident about the quality of our data.

4DAlert Customer Director of Business Intelligence

Amazing! This application is capable enough to pull off the data very effectively and the best part is the report analysis provided by the application which gives a more sophisticated approach that separates this application from the rest in the market. I’m glad to be a part of the 4DAlert community. Director of Business

4DAlert Customer Vice President of Analytics.

These guys provide an amazing tree-like structure of the data. Whenever required, it puts me on the origin of the data with just a few clicks! The lineage of the data is so attractive and satisfying to watch; It could make a layman understand the whole process like a piece of cake! Impressive. Thanks, 4DAlert.

*📢FREE webinar📢*

"CI/CD, Schema Compare, and Automatic Change Deployment"

What are you waiting for..? Register now to explore -

1. Real-world Use Cases 🌍
2. Live Demo: Setting up CI/CD Integration🛠️
3. Interactive Q&A Session❓

  • 00Days
  • 00Hours
  • 00Minutes
  • 00Seconds

nnnnn