SAS Visual Text Analytics vs QDA Miner

SAS Visual Text Analytics9.1Visit QDA Miner8.4Visit

Higher score SAS Visual Text Analytics #2 in Text Analysis Software 9.1/10 Pricing on request ✓ 3 of 3 features Visit SAS

vs

QDA Miner #5 in Text Analysis Software 8.4/10 14-day trial Free trial✓ 2 of 3 features Visit QDA Miner

• SAS Visual Text Analytics fits best

  Large organizations building text analytics workflows

• QDA Miner fits best

  Qualitative teams needing coding plus text analytics

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Side by side

Feature	SAS Visual Text Analytics 9.1/10 Visit ↗	QDA Miner 8.4/10 Visit ↗
At a glance
Editor score	9.1	8.4
Ranking	#2 in Text Analysis Software	#5 in Text Analysis Software
Best for	Large organizations building text analytics workflows	Qualitative teams needing coding plus text analytics
Pricing model	Paid	Paid
Starting price	Pricing on request	14-day trial
Free plan	Not checked yet	—
Free trial	—	14 days
Built for	Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features SAS Visual Text Analytics 3/3 · QDA Miner 2/3
Sentiment analysis	✓	✓
Topic modeling	✓ (best)	Not checked yet
Entity extraction	✓	✓
Specs
Supported languages	Not checked yet	68
Text input sources	Not checked yet	Not checked yet
Export formats	Not checked yet	Not checked yet
Our review
Pros	Combines parsing, sentiment, topics, classification and entity extraction Visual interfaces support creation and management of text models Integrates results with broader SAS analytics workflows	Imports documents, survey data, email and visual materials Combines manual coding with AI-assisted retrieval and thematic analysis Supports team project merging, synchronization and inter-rater assessment
Cons	Designed for SAS Viya environments rather than a standalone open-source stack Sales-led purchasing may require direct vendor engagement Enterprise-oriented scope may exceed the needs of small teams	Desktop deployment may not suit teams seeking a cloud-native workflow Paid product; the trial has post-trial limitations Its broad analysis toolkit may be more than teams need for simple coding
Our verdict	SAS Visual Text Analytics is text-analysis software within the SAS platform, built for organizations working with large collections of unstructured content. It applies linguistic processing and machine-learning techniques to customer… Read the review →	QDA Miner is desktop qualitative data analysis software from Provalis Research for researchers working with interviews, focus groups, legal documents, articles, open-ended responses and visual materials. It brings source import, coding,… Read the review →

Strengths and trade-offs

• SAS Visual Text Analytics — where it wins

  • Combines parsing, sentiment, topics, classification and entity extraction
  • Visual interfaces support creation and management of text models
  • Integrates results with broader SAS analytics workflows

  Where it doesn't

  • Designed for SAS Viya environments rather than a standalone open-source stack
  • Sales-led purchasing may require direct vendor engagement
  • Enterprise-oriented scope may exceed the needs of small teams

• QDA Miner — where it wins

  • Imports documents, survey data, email and visual materials
  • Combines manual coding with AI-assisted retrieval and thematic analysis
  • Supports team project merging, synchronization and inter-rater assessment

  Where it doesn't

  • Desktop deployment may not suit teams seeking a cloud-native workflow
  • Paid product; the trial has post-trial limitations
  • Its broad analysis toolkit may be more than teams need for simple coding

• SAS Visual Text Analytics9.1/10 · Pricing on request

  An enterprise text-analysis suite for modeling, classification and SAS workflow integration.

  Visit SASFull verdict →
• QDA Miner8.4/10 · 14-day trial

  A desktop research workbench combining qualitative coding with AI-assisted text analysis.

  Visit QDA MinerFull verdict →