---
title: "Datactics Software Pricing, Alternatives & More 2026 | Capterra"
description: "With the help of Capterra, learn about Datactics Software - reviews, pricing plans, popular comparisons to other Data Quality products and more."
source_url: "https://www.capterra.com/p/10005870/Datactics/"
page_type: "product"
language: "en"
---

# 

 Datactics Software Review 2026: Features, Reviews, Integrations, Pros & Cons

Last updated on September 9, 2026

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team.

[Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Integrations](#integrations)[Support](#support)

Datactics

## What is Datactics?

High quality business decisions are directly proportional to high quality data. The Datactics platform allows non-technical business users to easily measure, monitor and manage the quality of datasets across the company. The data agnostic platform can be modified to enhance specific business needs, and AI and machine learning are implemented to automatically suggest data quality rules, identify anomalous data, and reduce manual effort in the application of data quality rules.

## What is Datactics used for?

[Data Discovery](https://www.capterra.com/data-discovery-software/)[Data Governance](https://www.capterra.com/data-governance-software/)[ETL](https://www.capterra.com/etl-software/)

Top alternative

Featured

Overall rating

Based on 0 user reviews

Reviews sentiment

Positive

\-

Neutral

\-

Negative

\-

### Starting price

Free trial not available

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## Datactics Overview

Updated September 2026

AI summary

Datactics offers businesses of all sizes a suite of tools for managing and improving data quality, covering areas such as data discovery, cleansing, profiling, and transformation. Supporting deployment on cloud or on-premise platforms, it features customizable rules, address validation, workflow management, and integration capabilities. Additional options include metadata management, collaboration tools, and access controls to suit varied data governance needs.

## Compare with a popular alternative

Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status.

### Datactics

0.0

VS.

[4.4 (12)](https://www.capterra.com/p/10004983/SAS-Viya/#reviews)

Starting Price

Contact vendor

Starting Price

Contact vendor

Free Trial

Free Version

Pricing Options

Free Trial

Free Version

Ease Of Use

0.0 (0)

Ease Of Use

4.1 (0)

Value For Money

0.0 (0)

Value For Money

3.7 (0)

Customer Service

0.0 (0)

Customer Service

3.9 (0)

## Datactics alternatives

[4.7 (15)](https://www.capterra.com/p/178411/Inzata/reviews/)

Starting price

$30000.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

100%

of reviewers

rated it above 4 stars

[SCIKIQ](https://www.capterra.com/p/276774/SCIKIQ/)

[0.0](https://www.capterra.com/p/276774/SCIKIQ/#reviews)

Starting price

$30000.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

0%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/276774/SCIKIQ/)

[JMP](https://www.capterra.com/p/151815/JMP-Statistical-Software/)

[4.5 (53)](https://www.capterra.com/p/151815/JMP-Statistical-Software/reviews/)

Starting price

$1390.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

92%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/151815/JMP-Statistical-Software/)

Highest Rated

[Nexla](https://www.capterra.com/p/159398/Nexla/)

[4.9 (9)](https://www.capterra.com/p/159398/Nexla/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

100%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/159398/Nexla/)

## FAQs about Datactics

Overview

### What company size and specific industries is Datactics built for?

Datactics is designed for organizations in financial services, insurance, government, retail, utilities, and healthcare, especially those led by Chief Data Officers and heads of data governance or data quality management. The target audience is typically mid-market to enterprise teams with formal data management needs.

Features and Usability

### What are the key features of Datactics?

Datactics offers data governance and data management tools such as data catalog, metadata management, data dictionary management, and audit trail. It also includes data quality functions like data cleansing, data profiling, duplicate detection, address validation, and match & merge, plus data integration, ETL, workflow management, and reporting.

Integrations

### Which third-party tools and platforms does Datactics integrate with?

Datactics connects to cloud, analytics, and governance platforms including AWS Config, Amazon Aurora, Amazon RDS, Microsoft Azure, Azure Data Lake Storage, Microsoft SQL Server, Snowflake, Databricks, Tableau, Microsoft Power BI, Collibra, ServiceNow, Datadog, and Atlassian Access.

Getting Started and Support

### What training and onboarding options does Datactics offer?

Datactics provides in person training, webinars, documentation, and videos to help teams get started. In person training and webinars support guided instruction, while documentation and videos offer written and visual reference materials for self-paced learning and feature review.

Getting Started and Support

### What customer support options does Datactics offer?

Datactics provides email/help desk, FAQ/forum, knowledge base, and phone support. No reviewer feedback is available to describe support quality, response speed, or common service issues. The listed channels indicate multiple ways for users to seek help, but user experience details are not documented here.

## Features

AI summary

Based on 230 Data Quality reviews

Not all Data Quality software covers every must-have feature. Here is what Capterra reviewers flag as essential when choosing a solution:

-   **Data Capture and Transfer** (**50%** of reviewers rated this feature as critical)
-   **Address Validation** (**55%**)
-   **Data Import/Export** (**43%**)

Datactics includes **Address Validation** and **Data Import/Export**, so teams can check customer and business records for accuracy while moving data in and out of the system more efficiently. However, it does not offer **Data Capture and Transfer**. Instead, it provides other highly rated capabilities, including **Email Address Extraction** (**44%**), **Data Verification** (**39%**), and **Reporting/Analytics** (**50%**). These features help businesses improve data accuracy, monitor quality trends, and work with more reliable information across daily operations.

Access Controls/Permissions

Define levels of authorization for access to specific files or systems

Active Directory Integration

Integrates with Active Directory

Activity Dashboard

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Address Validation

Verifies and confirms the accuracy of an address

AI/Machine Learning

Software program that continuously adjusts its behavior based on observed data

Alerts/Notifications

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Datactics 72 features

### All Features
- Access Controls/Permissions: Define levels of authorization for access to specific files or systems
- Active Directory Integration: Integrates with Active Directory
- Activity Dashboard: Dashboard to view the status of ongoing processes, identify current incidents and track past activities
- Address Validation: Verifies and confirms the accuracy of an address
- AI/Machine Learning: Software program that continuously adjusts its behavior based on observed data
- Alerts/Notifications: Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges
- API: Application programming interface that allows for integration with other systems/databases
- Audit Trail: A record of all activities within the system, including user access, changes made, etc.
- Automation: Automates manual tasks such as visitor arrival and departure notifications, guest badge printing and contact information autofilling.
- Big Data Analytics: Examine large amounts of data to uncover hidden patterns, correlations, and other insights
- Collaboration: Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance.
- Collaboration Tools: Provides a channel for team members to share AI models, media files, communicate, and work together
- Configurable Workflow: Configure existing workflows to meet your organization's needs
- Customizable Reports: Alter the layout and content of reports
- Customizable Rules: Rules followed by the software/AI can be configured by users to suit their specific needs
- Dashboard: Assembly of graphs and charts for visualizing and tracking statistics/metrics
- Dashboard Creation: Creation and customization of dashboards
- Dashboards: An easy to read, often single page, real-time user interface, showing a graphical presentation of the current status and historical trends of an organization's Key Performance Indicators (KPIs) to enable instantaneous and informed decisions to be made at a glance.
- Data Aggregation and Publishing: Assemble data from multiple sources
- Data Analysis Tools: Analyze survey results via statistical testing or crosstabs directly within the software
- Data Catalog: An organized inventory of all data assets
- Data Cleansing: Removes data that is incomplete, inaccurate, or irrelevant from a dataset
- Data Connectors: Connect to big data sources
- Data Dictionary Management: Stores definitions of the data elements and their relationships (metadata) and how they are retrieved for the user
- Data Discovery: Discover and connect variety of data sources to the application for analysis
- Data Extraction: Automatically retrieve and pull information from documents, websites, images, data sets, and other sources
- Data Governance: Collection of processes, policies, and standards to manage the storage & usability of enterprise data
- Data Import/Export: Import and export data to and from software applications
- Data Integration: Combining data from different sources and providing a unified view
- Data Management: Ability to handle large datasets
- Data Mapping: Track the management and flow of data throughout the organization
- Data Matching: Finds duplicates using the fuzzy logic technology or an advance search feature.
- Data Migration: Move from one database to another, or upgrade the version of database software being used
- Data Modeling: Conceptual model of how data items relate to each other
- Data Preparation: Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions.
- Data Profiling: Examines, analyzes, and organizes data to create relevant summaries or graphs.
- Data Quality and Cleansing: Allows users and administrators to easily clean data to maintain quality and integrity
- Data Quality Control: Establish guidelines about how much and what kind of data can be stored in the repository
- Data Quality Management: Data quality consists of deduplication, cleansing, and appending your marketing database.
- Data Synchronization: Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency
- Data Transformation: Translate EDI formats into data suitable for use with company applications.
- Data Verification: Process of checking different types of data for accuracy to avoid errors or inconsistencies
- Data Visualization: Graphical representation of data
- Drag & Drop: Assemble applications and processes by dragging over and arranging pre-built components
- Duplicate Detection: Compare new data with existing records to detect duplicate entries
- Email Address Extraction: Extract email addresses from multiple data sources
- ETL: Process of extracting, transforming, and loading data
- Governance: Management of rules, practices, and processes of a company
- Job Scheduling: Planning and managing the execution of tasks or jobs within a computer system, network, or other automated environments
- Match & Merge: Looking at data from different sources and finding possible duplicates, or identical matches
- Metadata Management: Collect and maintain structured information that describes data or content
- Monitoring: Observe and track the demand, usage, progress or quality of a system, product, or user
- Multi-Language: Manage and support multiple languages
- Multiple Data Sources: Allows users to manage data from a number of sources
- Performance Metrics: A set of indicators that tracks the performance of networks, applications, systems, teams, etc.
- Query Builder: Tool that allows users to create and execute database queries without needing to know the underlying syntax of the database
- Recommendations: Algorithmically generated suggestions based on user behaviors, preferences, or data patterns to enhance UX, productivity, or engagement
- Reporting & Statistics: Collection, analysis, and representation of numerical data and generation of reports to understand various patterns
- Reporting/Analytics: View and track pertinent metrics to find patterns and gain insights from data
- Role-Based Permissions: Set & manage permission levels based on user roles and restrict access to only authorized individuals
- Rules-Based Workflow: Automates and streamlines business processes by creating a sequence of predefined rules and actions that govern the flow of work
- Search/Filter: Search and filter data across systems to locate required information by entering keywords or certain criteria
- Self Service Data Preparation: Access, combine, transform, and store data without the help of an IT department
- Self Service Portal: Online portal through which end users can access the system, manage tasks, or obtain information
- Single Sign On: Allow users to access multiple services after entering their login credentials once
- Tagging: Attach digital tags to documents and assets for identification, search, or monitoring purposes
- Task Scheduling: Track and manage the scheduling of tasks
- Third-Party Integrations: Set up connections to third-party platforms to improve business processes
- User Management: Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks
- Version Control: Track revisions and updates made to files and navigate between different versions
- Visual Analytics: Interact with data visualization elements, such as charts and graphs, to drill down into data
- Workflow Management: Create, design and manage workflows for repetitive tasks

---

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## Support, customer service and training options

Support

-   Email/Help Desk
-   FAQs/Forum
-   Knowledge Base
-   Phone Support
-   24/7 (Live rep)
-   Chat

Training

-   In Person
-   Live Online
-   Webinars
-   Documentation
-   Videos

Deployment

-   Web
-   Android
-   iPhone/iPad

Typical users

-   Freelancers
-   Small businesses
-   Mid size businesses
-   Enterprises

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