MongoDB
MongoDB is a software company that develops and supports MongoDB, a popular open-source NoSQL document database used by developers to build and run modern applications. It generates revenue through subscriptions to its commercial database offerings and cloud service MongoDB Atlas, as well as support, consulting, and training for enterprises across industries.
- Database & Data Storage
- Cloud Infrastructure & Hosting
- MLOps & ML Platforms
- Revenue
- $1.9B
- Employees
- 5,200
- Founded
- 2007
- Headquarters
- New York City, United States of America
What 101 Arbolus experts think of MongoDB
The supplied NPS ratings range from 4 to 10, with most ratings falling in the 7–10 range and a smaller number at 4–6. Among records with renewal intent stated, “Yes” is the predominant response, alongside “NotSure” and a few “No” responses; many records do not provide an intent. Implementation data is weighted toward MoreThan1Year, with additional newer deployments, pilots, and a small number of uncertain or missing stages. Qualitative feedback most often praises schema flexibility, developer speed, and scalability, while citing cost at scale, schema discipline, complex relational queries, and operational overhead as caveats.Overall Customer Sentiment: Positive
Who reviewed MongoDB
- C-Suite 58% (59)
- Director 28% (28)
- Manager 14% (14)
Employer names and spend open in the full report, along with the other 98 customers.
Everything 101 customers told us about MongoDB.
Employer names, spend, renewal intent and every written answer behind the numbers on this page.
Sentiment
38 Net Promoter Score, from 101 scored reviews- Promoters 49
- Passives 42
- Detractors 10
Cumulative NPS by month
+0 over 6 months- May 8
- Jun 8
- Jul 8
- Aug 8
- Sep 8
- Oct 8
Net Promoter Score across 9 reviews, accumulated up to each month. Category median 38 across 9 companies.
Praised
- Institution-specific data without constant migrations
- Scalable backend for document-centric workloads
- Flexible data model supports evolving products
- Make industrial data and AI easier to support
Criticised
- PostgreSQL and vector alternatives
- Alternatives can fit specific applications better
- Competing platforms with better economics
- Optional schema discipline can create data-quality risk
What customers say
Renewal intent
Plan to renew 74%Plan to renew, by seniority
- 78% 40 answers
- 71% 17 answers
- 50% 4 answers
- 75% 4 answers
- 8.5/10 Average score from customers who will renew
- 7.3/10 Average score from undecided customers
- 5.8/10 Average score from customers not renewing
Top alternatives
Most weighed by MongoDB customers
Report
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