iceDQ - The Data Reliability Platform
G2 ★★★★★ 5.0
Capterra ★★★★★ 4.7/5

Still Evaluating
Data Validation & Reconciliation Tools?
Let Us Show You the ROI for
Your Exact Use Case.

Every week of manual validation, pipeline rework, and data defect cleanup is budget you won't get back. One question remains - does iceDQ work for your environment? This 30-minute session answers exactly that. Your stack, your pipelines, no generic demos.

White-glove onboarding includes migration of your existing rules to iceDQ - at no additional cost.

* By signing up, you agree to iceDQ's privacy and cookie policies.

Trusted by Fortune 500 Companies

altruist Paccar rx sense castell pepsi anthem BCBA - LA liberty mutual logo-spglobal LMI health first bmc credit suisse marriot Etrade Morgan Stanley altruist Paccar rx sense castell pepsi anthem BCBA - LA liberty mutual logo-spglobal LMI health first bmc credit suisse marriot Etrade Morgan Stanley

What We'll Cover in 30 Minutes

Tell us your use case when you book - we tailor every session to your environment, your data stack, and your team's goals.

ETL Pipeline Testing
Cloud Migration Testing
SAP Migration Testing
Salesforce Migration Testing
Databricks and Delta Lake Validation
Data Warehouse Testing
BI and Report Testing
Source-to-Target Reconciliation
Production Data Monitoring
Compliance and Audit Testing
Data Lake Validation
AI/ML Data Pipeline Validation

Don't see your use case? Bring it - we've handled over 14 enterprise use case types. No use case is too complex or too niche.

What to Expect

No slide decks. No generic product walkthroughs. Just a focused 30 minutes on your data.

1
You Book the Session
Enter your work email and we reach out to confirm a time. Takes 60 seconds. No lengthy forms or qualification calls before the demo.
2
We Prepare Your Walkthrough
Before the call, we map your use case, data stack, and environment. Your session is prepared specifically for your pipelines and your team's goals.
3
30-Minute Live Walkthrough
A data engineer walks you through iceDQ against your exact use case. You leave with a clear ROI picture and a path to getting started - or a straight answer if it's not the right fit.
Why iceDQ

Three reasons Fortune 500 teams
trust iceDQ to deliver data reliability

Proven ROI

Measurable returns from day one

iceDQ customers see results within weeks - not months. Time saved on manual validation, defects eliminated before production, and projects delivered on schedule.

Cuts manual testing effort by up to 70%
Eliminates production data defects before they reach users
Accelerates project timelines from months to weeks
"We probably saved 5,000 hours - approximately $500,000 - on the data migration project alone."
Head of Quality Assurance, PepsiCo
4-8X
Average ROI on data testing and monitoring projects
Enterprise Trust

The most demanding teams run on iceDQ

From global investment banks to pharmaceutical leaders - Fortune 500 teams with the strictest data reliability requirements trust iceDQ across pipelines, migrations, and production environments.

PepsiCo Pfizer Morgan Stanley Liberty Mutual BMC S&P Global
"Not only did we achieve near-perfect quality, but we also saved significant time and money on the project."
Director of Quality Engineering, Cencora
200+
Enterprise deployments across banking, insurance, pharma, and technology
White-Glove Onboarding

We handle the setup so you don't have to

Every iceDQ customer gets a dedicated Forward Deployed Engineer (FDE) for 3 months - at no extra cost. Your FDE configures the platform, builds your first test cases, and gets your team running fast.

1
Dedicated FDE assigned within days of sign-up
2
Platform configured to your exact data stack and environment
3
First test cases built and validated together - your team is live in weeks
3 months FDE support - zero additional cost to you
iceDQ at Enterprises
Morgan Stanley

Global investment bank - enterprise data reliability across 14 active use cases

150%+
Productivity gain from automation and low-code features
100%
Test coverage - zero production defects reaching live systems
30%
Reduction in data product release cycles and regression testing
14
Enterprise use cases running on a single iceDQ platform
"

We started with a single data migration project and never stopped. iceDQ became our standard for every data initiative across the firm - from Snowflake migrations and data lake validation to real-time API monitoring and regulatory compliance testing. The platform gave us the breadth to consolidate tooling and the depth to handle our most complex reconciliation requirements. One platform, 14 use cases, zero production defects.

Head of Data Engineering, Global Investment Bank

Active Use Cases on This Deployment

Backoffice Migration
Data Lake to Snowflake
Snowflake DR Testing
RFB Monitoring
Release Testing
API Monitoring
Client Data Monitoring
Security Master Validation
Salesforce Migration Testing
API vs DB Reconciliation
EDD Testing
Validate JSON Feeds
ESOP Platform Migration
+ More

Frequently Asked Questions

Is this a sales call or a technical demo?
It's a technical demo. Your session is run by a data engineer - not a sales rep. We walk through iceDQ live against your use case, answer technical questions, and show you exactly how it handles your specific data environment. If it's not the right fit, we'll tell you that too.
Do I need to prepare anything before the session?
Nothing formal. It helps to have a rough sense of your data stack (source systems, targets, cloud vs on-prem) and one or two use cases you want to cover. We'll ask a few quick questions when you book so we can prepare your walkthrough in advance. No documentation or access credentials needed before the call.
What if iceDQ doesn't connect to our specific data stack?
iceDQ supports 150+ native connectors across cloud, on-premises, and hybrid environments - including Snowflake, Databricks, Azure Synapse, Redshift, BigQuery, Oracle, SQL Server, SAP, Salesforce, and more. If you have an unusual setup, bring it to the demo. We'll tell you straight whether it's supported and how we've handled similar environments.
We already have a data quality or testing tool - can you show us what migration looks like?
Yes - and this is one of the most common questions we get. Every iceDQ customer receives a dedicated Forward Deployed Engineer (FDE) for 3 months at no extra cost, and that includes migrating your existing validation rules from your current tool into iceDQ. We'll show you exactly how that process works during the demo.
How quickly can we get started after the demo?
Most organizations complete a proof of concept within 2-4 weeks of the demo and are fully deployed within 30 days. Your FDE is assigned within days of sign-up - they configure the platform to your environment, build your first test suites, and get your team validating data fast. You won't be handed documentation and left to figure it out.
What size of organization is iceDQ built for?
iceDQ is built for enterprise data teams - the platform is in production at Fortune 500 companies in banking, insurance, healthcare, pharmaceuticals, and technology. That said, mid-market organizations with complex data pipelines or migration projects benefit just as much. The 30-minute session will give you an honest assessment of whether iceDQ is right-sized for your environment.
Get Started

Your data stack. Our platform.
Let's show you what's possible.

A 30-minute personalized walkthrough mapped to your environment, your use cases, and your team's goals.

* By signing up, you agree to iceDQ's privacy and cookie policies.