Anaconda, Inc.
Anaconda, Inc. develops and maintains an open-source Python distribution and commercial tools for data science, machine learning, and AI, providing package management, environment management, and security features for individuals and enterprises. The company monetizes through paid enterprise platforms, cloud offerings, and support subscriptions that help organizations manage and govern Python and R packages at scale. Its products are used by data scientists, developers, and IT teams across industries to build, deploy, and manage data-driven applications.
- Data Integration & ETL
- MLOps & ML Platforms
- Revenue
- $65.0M
- Employees
- 350
- Founded
- 2012
- Headquarters
- Austin, United States of America
What 39 Arbolus experts think of Anaconda, Inc.
NPS scores show a majority in the 8–10 'promoter' range, especially from longer-term, high-spend users. Renewal intent is strong among enterprise accounts but more mixed among mid-range spenders and individual users. Stickiness is high, with over 70% of respondents reporting more than one year of usage, though there is some pilot-stage exploration and a few off-boarding cases. Key feedback themes include ease of setup and package management as major strengths, offset by concerns about licensing costs and memory-heavy desktop applications. Overall Customer Sentiment: Positive
Who reviewed Anaconda, Inc.
- C-Suite 54% (21)
- Director 29% (11)
- Manager 17% (7)
Employer names and spend open in the full report, along with the other 36 customers.
Everything 39 customers told us about Anaconda, Inc..
Employer names, spend, renewal intent and every written answer behind the numbers on this page.
Sentiment
47 Net Promoter Score, from 38 scored reviews- Promoters 24
- Passives 8
- Detractors 6
Cumulative NPS by month
+0 over 6 months- May 8
- Jun 8
- Jul 8
- Aug 8
- Sep 8
- Oct 8
Net Promoter Score across 1 reviews, accumulated up to each month. Category median 47 across 1 companies.
Praised
- Critical for Analytics Workflow
- Pre-configured Scientific Environments
- Quick Data Experimentation
- Appeal to New Data Teams
Criticised
- Not Ideal for Large Enterprises or Older Devices
- Slow Application and Updates
- Licensing Cost Increases
- Growing Competitive Alternatives
What customers say
Renewal intent
Plan to renew 63%Plan to renew, by seniority
- 50% 2 answers
- 80% 5 answers
- 0% 1 answer
- 9.2/10 Average score from customers who will renew
- 7/10 Average score from undecided customers
- 5/10 Average score from customers not renewing
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