What is Datactics used for?

Datactics is used to profile, cleanse, match, and monitor data so organizations can trust datasets used for reporting, regulation, and operations.

Who should use Datactics?

Chief data officers, data governance teams, and data stewards in banking, insurance, government, healthcare, retail, and utilities that need reliable data.

Does Datactics offer a free trial?

No. Datactics does not offer a free trial or free version, but you can contact the company to arrange a product demo.

Can Datactics be deployed on-premise?

Yes. Datactics can run in the cloud, on-premise, in air-gapped environments, or in Datactics' own ISO 27001 certified hosted environment.

What are the best alternatives to Datactics?

Common alternatives to Datactics include Informatica Data Quality, Ataccama ONE, Talend Data Quality, and Precisely Trillium Quality for enterprise data quality.

Datactics Reviews, Features & Alternatives

Overview

What is Datactics?

Datactics is a data quality platform that lets business users and data teams measure, monitor, and improve the quality of their datasets without heavy coding. It covers profiling, cleansing, duplicate detection, matching, and address validation, and uses machine learning to suggest rules and flag anomalies. Deployment options include cloud, on-premise, air-gapped, or Datactics hosting. Banks, insurers, public sector bodies, and healthcare organizations use it, often led by chief data officers and governance heads.

Best for

Chief Data OfficersData Governance TeamsFinancial Services FirmsPublic Sector BodiesData Stewards

Product snapshot

Category: Data Discovery & Exploration
Best for: Regulated data quality
Deployment: Cloud / On-premise
Free trial: No
Integrations: Snowflake, Databricks, Power BI
AI features: Yes

Key features

Key features of Datactics

Data profiling

Assess datasets to surface gaps, errors, and hidden quality issues.

Match and merge

Deduplicate and match complex entity and instrument records accurately.

AI rule suggestions

Machine learning proposes data quality rules and flags anomalous records.

Data cleansing

Standardize, correct, and validate records, including postal addresses.

Quality monitoring

Track data quality over time with dashboards and reporting.

Regulatory data readiness

Check financial services data against regulatory requirements and standards.

Reviews

Datactics reviews

Overall

Nobody has reviewed

What users like

No-code rules for business users
Strong entity matching and deduplication
Flexible cloud and on-premise hosting
Hands-on data engineering support

What users dislike

Pricing is not publicly listed
No free trial offered
Focused on regulated industries
Lacks data capture and transfer

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Alternatives

Top Datactics alternatives

Informatica Data Quality
Best for
Large enterprise data teams
Why choose it
Broad data quality and integration suite
Ataccama ONE
Best for
Unified data quality management
Why choose it
Combines quality, catalog, and master data
View Ataccama ONE
Talend Data Quality
Best for
Integration-led data quality
Why choose it
Quality checks inside data integration pipelines
Precisely Trillium Quality
Best for
Address and entity quality
Why choose it
Established matching and address validation tools

Integrations

Datactics integrations

Datactics connects to common databases, cloud platforms, and analytics tools so quality checks can run where data is stored. Listed integrations include Microsoft SQL Server, Oracle Database, Amazon RDS, Amazon Aurora, Microsoft Azure, and Azure Data Lake Storage, along with Snowflake and Databricks for cloud data platforms. Results can be reviewed in Tableau or Power BI, and Datadog and ServiceNow are supported for monitoring and issue workflows. Datactics also offers a joint solution with Microsoft Purview and connects with Collibra for governance, so quality scores can sit alongside catalog metadata. Single sign-on and Active Directory integration support access control in larger organizations.

FAQ

Datactics