ATLAS.ti
Data visualization tools
Text analysis software
Business intelligence software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is ATLAS.ti
ATLAS.ti is qualitative data analysis (QDA) software used to organize, code, and analyze unstructured data such as interview transcripts, documents, audio/video, and survey free-text. It supports research and insight workflows for academics, UX and market researchers, and evaluation teams that need traceable qualitative analysis. The product emphasizes coding, memoing, retrieval, and qualitative visualization (for example, networks and code co-occurrence views) rather than KPI dashboards. It is available as desktop and cloud offerings, with collaboration features depending on edition.
Robust qualitative coding workflow
ATLAS.ti provides structured tools for creating codes, applying them to text and multimedia, and managing memos and annotations. It supports retrieval and comparison of coded segments to help users build evidence-backed themes. These capabilities align well with qualitative research methods that require auditability and traceability from raw data to findings.
Supports multiple data types
The platform handles common qualitative inputs including documents, PDFs, images, audio, and video, enabling mixed-media projects. This reduces the need to split analysis across separate tools when studies include recordings and transcripts. It is particularly useful for teams analyzing interviews, focus groups, and open-ended survey responses.
Qualitative visual exploration tools
ATLAS.ti includes visualizations tailored to qualitative work, such as network views and code relationship/co-occurrence exploration. These views help users inspect conceptual relationships and patterns in coded data. Compared with general-purpose visualization tools, the visuals are tied directly to coding structures and supporting quotations.
Not a full BI platform
ATLAS.ti is not designed for enterprise BI use cases like semantic modeling, governed metrics layers, or operational dashboards. It does not replace tools focused on automated data pipelines, KPI monitoring, or broad connector ecosystems. Organizations seeking standardized reporting across structured datasets typically need additional BI software.
Learning curve for new users
Effective use requires familiarity with qualitative methods and the product’s coding and project organization concepts. Teams without prior QDA experience may need training to establish consistent coding practices and inter-coder workflows. This can slow initial adoption compared with simpler dashboarding or visualization products.
Collaboration depends on edition
Collaboration and multi-user workflows vary by deployment (desktop vs. cloud) and licensing. Some teams may need to plan around project sharing, versioning, and role management to avoid conflicts. This can be a constraint for larger distributed teams that require always-on, centralized collaboration.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Public pricing | Not listed on atlasti.com; current prices are published in the online shop / order portal (see notes) | ATLAS.ti instructs customers to obtain current prices and place orders via their online shop/order portal. Licensing types referenced on the site include Student, Educational, Multi-user, Commercial; non-profit discounts and campus/multi-user options are available. A time-limited free trial (see below) is offered. |
Seller details
ATLAS.ti Scientific Software Development GmbH
Berlin, Germany
1993
Private
https://atlasti.com/
https://x.com/ATLASti
https://www.linkedin.com/company/atlas-ti/
