Sold by: Qualytics
Deployed on AWS
Qualytics helps teams monitor and improve data quality with automated checks and alerts.
4.8
Overview
Qualytics is a data quality and observability platform that helps organizations detect, prevent, and resolve data issues across analytics and operational pipelines.
Key capabilities:
- Automated data quality checks (freshness, volume, schema, null/duplicate, range, and custom rules)
- Monitoring and alerting to notify teams when data drifts or breaks
- Visibility into dataset health to reduce downtime and improve trust in analytics
Ideal users:
- Data stewards and governance teams accountable for the accuracy and completeness of critical data
- Business and analytics owners who need confidence in the numbers behind their reporting
- Data engineering teams supporting them, who benefit from issues being caught before they reach downstream systems
Business value:
Qualytics reduces the time to detect and remediate data incidents, improves reliability of dashboards and downstream systems, and helps maintain governance and compliance by continuously validating critical data.
Installation:
Qualytics is deployed into your own AWS account using a CloudFormation template. To install, click here to launch the CloudFormation template , enter a stack name, review the parameters, and create the stack.
Highlights
- Proactive + Automated: Qualytics automates 95% of your DQ checks. 5% are complex business rules that can't be automated, but we give you templated ruletypes, collaboration capabilities, etc, to author really complex rules within minutes, not months.
- Built for Business & Data Teams: Hyper-usable low-/no-code UI, templated common simple, and complex rule types, a fully-fledged API, and flexible workflow capabilities unite business users, engineers, and governance teams to co-own data quality.
- Velocity, Scale & Flexibility: Deploy in hours, scale to billions of records, and integrate seamlessly across SaaS, on-prem, and hybrid environments with cloud-native, API-first architecture.
Details
Sold by
Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Units | Contract Price | $60,000.00 |
Dimensions summary
Qualytics uses a single contract-based pricing dimension, billed in Units. You agree to a set contract price for the term rather than paying by the hour or by usage. The Units dimension covers access to the data quality platform, which profiles your data, maintains quality checks, and surfaces anomalies. Because there is one dimension, there are no separate tiers or add-ons to compare. Your total cost is set by the contract price you commit to for the agreed term.
Top-of-mind questions for buyers
A Unit is the metric your contract price is measured in. The pricing table does not define a physical resource like a user or server for each Unit. Confirm with the vendor how Units map to your data sources, datastores, or usage before you commit to a quantity.
Your contract sets a fixed price for the term in Units. It does not meter by the hour or by usage. Profiling data, maintaining quality checks, and reviewing anomalies fall under that committed price. If your needs grow beyond the agreed Units, confirm any adjustment with the vendor.
Your contract covers the data quality platform. It profiles how your data behaves, infers and maintains quality checks, and surfaces anomalies. You can review scores and profiles, investigate failed checks, assign ownership, and document resolutions. Signals reach people and systems through flows, integrations, and an API.
userguide.qualytics.io
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
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AWS infrastructure support
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Customer reviews
L. D.
Comprehensive Data Quality Solution, Effortlessly Integrated
Reviewed on May 05, 2026
Review provided by G2
What do you like best about the product?
I like that Qualytics allows me to proactively monitor data quality and receive alerts for critical enterprise data. It's great at early detection of data quality issues using day-over-day comparisons. I appreciate that it does everything a data quality tool should do—templates, inferred rules, full customization, and integrations—all available out of the box. As someone who's used other tools, I find it very easy to use without the need for handwritten SQL or separate observability tools. It brings everything into one place and covers all my data quality needs end-to-end.
What do you dislike about the product?
N/A
What problems is the product solving and how is that benefiting you?
I use Qualytics for proactive data quality monitoring and alerts. It detects issues early with day-to-day data comparisons. I love its ease of use and comprehensive features like templates, inferred rules, and full customization, all without needing separate tools or hand-written SQL.
Venture Capital & Private Equity
Turns Data Quality Into a Business-Driven, Measurable Discipline
Reviewed on May 05, 2026
Review provided by G2
What do you like best about the product?
What I value most is that turns data quality from isolated technical checks into a structured, business-driven discipline that makes data reliability measurable, owned and actionable at scale.
What do you dislike about the product?
While it exposes data quality issues effectively, it can become heavy at scale and relies on external tooling for full automation and root cause analysis.
What problems is the product solving and how is that benefiting you?
Qualytics solves the problem of unreliable data by systematically detecting and structuring quality issues.
Insurance
Easy Anomaly Detection with Phenomenal Qualytics Support
Reviewed on Apr 23, 2026
Review provided by G2
What do you like best about the product?
There are two significant wins from using this tool for data quality: first, with minimal training, an analyst can develop anomaly-detection rules that help improve data quality; and second, the support from the Qualtyics team is phenomenal.
What do you dislike about the product?
I don't have anything negative to say. If a problem arises or a feature is requested teh Qualytics team is fastto react and improve the tool as necessary.
What problems is the product solving and how is that benefiting you?
Fast and easy data profining, machine learning developed anomaly detection is saving engineering time and through usage of the underwriting team we are tracking and improving data quality.
Insurance
Qualytics Unifies Our Data Quality Efforts with Fast, Responsive Product Support
Reviewed on Apr 22, 2026
Review provided by G2
What do you like best about the product?
We use Qualytics as our data quality program across multiple use cases and teams, with the data team and governance team working together in the same platform. The Qualytics product team responds quickly to feature requests and bug fixes, which makes it easier for us to keep improving how we use the tool.
What do you dislike about the product?
Nothing at this time to give a proper answer
What problems is the product solving and how is that benefiting you?
The Qualytics product team has been very responsive to our feature requests. We work closely with the team to refine our ideas and confirm whether any of the functionality already exists. If it doesn’t, our ideas gain immediate traction, and we’re given clear timelines for when they’ll be added to the product.
Banking
Valuable and Helpful Product
Reviewed on Jun 17, 2025
Review provided by G2
What do you like best about the product?
I began using it a month and a half ago and I feel that it is intuitive. There are a lot of useful features, like being able to create custom tables and fields within tables. Furthermore, the customer support team is very responsive and helpful.
What do you dislike about the product?
I think it's still a new product so there are a lot of UI enhancements that are required, especially for non-technical people, to make it easier and quicker to see and do certain things.
What problems is the product solving and how is that benefiting you?
Perform data quality checks and ensure data is valid.