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Datactics

What Datactics is
Datactics is a data quality and matching platform for teams that need to profile, prepare, validate, and improve business data. Augmented Data Quality recommends reusable rules, helps trace errors to their causes, and supports remediation. FlowDesigner provides exact and fuzzy matching, with options for tight or loose matching, alongside profiling, validation, cleansing, and preparation. Data Quality Manager schedules and automates quality processes and connects to data sources through an API. For review, Data Quality Clinic runs in a browser and lets users approve or reject suggested changes, with audit trails for those actions. Remediation workflows can connect to ServiceNow and Jira. Pre-built connectivity is listed for Snowflake, Databricks, AWS, Azure, Alation, and Solidatus. Datactics supports standardization rules, validation, enrichment, and both processing modes. Hosting can be cloud-based, on-premise, or air-gapped; the company also offers hosting in its ISO-27001-certified environment. Datactics says it achieved ISO 27001:2022 certification for its Information Security Management System in 2024. It is designed for business users, data quality administrators, and data engineers, including customers in regulated industries. Pricing is negotiable on request, with temporary licences and a short-term paid proof of value available.
Who it suits
Datactics suits business users, data quality administrators, and data engineers who need tools for matching, validation, automation, and remediation. Its hosting options and stated customer base also make it relevant to organizations in regulated industries.
What it does well
- Supports exact and tight or loose fuzzy matching.
- Automates scheduled data quality processes and API connections.
- Browser-based remediation includes approvals, rejections, and audit trails.
- Connects with ServiceNow and Jira for remediation workflows.
- Offers cloud, on-premise, and air-gapped hosting options.
What to know first
- Pricing is negotiable and available on request.
- There is no free trial; trying it first requires a paid proof of value.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Datactics platform | Flexible, negotiable pricing · Cloud, on-premise, or air-gapped hosting · Temporary licences available | On request |
| Datactics platform / custom deployment | licence-based pricing · cloud, on-premise or air-gapped hosting · scope and cost agreed with vendor | On request |
As datactics.com lists them, read 3 Oct 2026. The maker's own page has the final word.
Getting started
- Visit the Datactics website.
- Contact Datactics for negotiable pricing and discuss hosting requirements.
- Ask about a temporary licence or short-term paid proof of value.
- Arrange project management, training, or support through Catalyst.
Verdict
Choose Datactics if your team needs data quality, matching, automation, and review workflows with flexible hosting. The main reason to look elsewhere is that there is no free trial and pricing requires a request.
Questions
How much does Datactics cost?
Pricing is negotiable and available on request. Temporary licences are available.
Can I try Datactics for free?
There is no free trial. Datactics offers a short-term paid proof of value for customers who want to try the software.
Where can Datactics run?
The listed platforms are API, self-hosted, and web. Hosting can be cloud-based, on-premise, or air-gapped.
What does Datactics integrate with?
Pre-built connectivity is listed for Snowflake, Databricks, AWS, Azure, Alation, and Solidatus. Data Quality Clinic also integrates with ServiceNow and Jira for remediation workflows.
Who is Datactics designed for?
It is designed for business users, data quality administrators, and data engineers. Regulated industries are among its stated customer base.
What support is available?
Catalyst professional services offers project management, training, and support.
Facts from Datactics's own pages
- AI rule suggestion
- The Augmented Data Quality product uses machine learning and NLP to suggest reusable data-quality rules. · datactics.com, 15 Oct 2026
- Anomaly detection
- ADQ identifies outliers and other anomalous records during profiling and monitoring. · datactics.com, 15 Oct 2026
- API
- Datactics states that it supplies fully documented REST APIs and can connect to data sources through an API. · datactics.com, 15 Oct 2026
- Audience
- The product is designed for business users, data quality administrators, and data engineers, with regulated industries among its stated customer base. · datactics.com, 3 Oct 2026
- Automation
- Data Quality Manager can schedule and automate data quality processes and connect to data sources via API. · datactics.com, 3 Oct 2026
- Capterra pricing status
- Capterra lists pricing as contact-vendor and shows no free version or free trial. · capterra.com, 15 Oct 2026
- Company size
- LinkedIn lists Datactics as a privately held software-development company with 51–200 employees. · linkedin.com, 15 Oct 2026
- Data cleansing
- Users can cleanse, standardise, enrich and re-engineer data through configurable workflows. · datactics.com, 15 Oct 2026
- Data matching
- Datactics matches customer, legal-entity, instrument and product records, including fuzzy matches, across very large datasets. · datactics.com, 15 Oct 2026
- Data profiling
- The platform profiles incoming datasets to expose completeness, distributions and other quality problems. · datactics.com, 15 Oct 2026
- Data quality
- Augmented Data Quality suggests reusable data quality rules, helps find root causes of errors, and supports remediation. · datactics.com, 3 Oct 2026
- Deployment choices
- Deployments can run on physical or virtual on-premise machines or in public or private clouds, with vendor-led, self-guided or guided installation. · datactics.com, 15 Oct 2026
- Deployment speed
- Datactics says a typical platform deployment can be completed in one to two days, depending on the chosen approach. · datactics.com, 15 Oct 2026
- Founded and headquarters
- LinkedIn lists Datactics as founded in 1999 and headquartered in Belfast, Northern Ireland. · linkedin.com, 15 Oct 2026
- Funding
- Datactics announced a £1.2 million funding round led by Kernel Capital and Par Equity on 11 June 2019. · datactics.com, 15 Oct 2026
- Headquarters
- Belfast, Northern Ireland, United Kingdom · datactics.com, 28 Sept 2026
- Hosting
- The company says it can support cloud, on-premise, or air-gapped infrastructure, and can host data in its ISO-27001-certified environment. · datactics.com, 3 Oct 2026
- Insights Hub
- Insights Hub analyses historical break-and-fix activity to show which remediation work has the greatest business impact. · datactics.com, 15 Oct 2026
- Integrations
- Published integrations include Alation and Solidatus for catalogue and lineage, plus Snowflake, Databricks, AWS, Azure, Power BI and Tableau connectivity. · datactics.com, 15 Oct 2026
- Limit: documentation and learning curve
- SoftwareReviews feedback says documentation is not as comprehensive as desired and that new users may need technical expertise or a trial to learn the product. · softwarereviews.com, 15 Oct 2026
- Limit: legacy integrations
- A SoftwareReviews user says integration coverage should expand to more legacy systems and that real-time monitoring could improve. · softwarereviews.com, 15 Oct 2026
- Limit: SaaS breadth and UI
- A G2 review says broader SaaS deployment options and user-interface improvements are still needed. · g2.com, 15 Oct 2026
- Matching
- FlowDesigner supports exact matching and tight or loose fuzzy matching, alongside data profiling, validation, cleansing, and preparation. · datactics.com, 3 Oct 2026
- No-code rule building
- FlowDesigner lets data stewards create quality and matching rules without programming. · datactics.com, 15 Oct 2026
Where Datactics stands on Freedom251
- Data Cleansing Software#15 of 31
