Key points
- Without benchmark data on negotiated cluster rates and commitment structures, organizations routinely pay 25-35% above the market median for identical Atlas configurations.
- Organizations that fail to commit to annual Atlas spend contracts pay 30-45% more than equivalent committed buyers.
- Our benchmark data shows 78% of first-time MongoDB buyers overpay by 20%+ simply because they did not know the committed pricing tier existed.
- MongoDB has been raising Atlas list prices 8-12% annually.
MongoDB Product Benchmarks
MongoDB Atlas (Cloud Database)
Managed Cloud
Cluster Tier
Avg. Negotiated
List Price/hr
Best Achieved
M30 Dedicated
$0.54/hr
$0.39/hr
$0.31/hr
M50 Dedicated
$1.04/hr
$0.75/hr
$0.60/hr
M80 Dedicated
$1.95/hr
$1.40/hr
$1.12/hr
M200 Dedicated
$3.95/hr
$2.84/hr
$2.25/hr
MongoDB Enterprise Advanced
On-Premise / Self-Managed
License Type
List (per core/yr)
Avg. Negotiated
Best Achieved
Production (per core)
$3,500/core
$2,380/core
$1,960/core
Non-Production (per core)
$875/core
$595/core
$490/core
Ops Manager (per server)
$1,200/yr
$840/yr
$680/yr
Atlas Search & Advanced Features
Add-on Modules
Feature Module
List Rate
Avg. Negotiated
Best Achieved
Atlas Search (Lucene)
+25% cluster
+18% cluster
+12% cluster
Atlas Vector Search
+30% cluster
+21% cluster
+15% cluster
Atlas Stream Processing
$0.30/SPU-hr
$0.22/SPU-hr
$0.17/SPU-hr
Data Transfer (cross-region)
$0.02/GB
$0.015/GB
$0.01/GB
MongoDB Atlas Pricing Trap: On-Demand vs. Committed
MongoDB's Atlas pricing punishes on-demand users. Organizations that fail to commit to annual Atlas spend contracts pay 30-45% more than equivalent committed buyers. Worse, MongoDB's sales team will rarely proactively offer commit discounts, you have to ask. Our benchmark data shows 78% of first-time MongoDB buyers overpay by 20%+ simply because they did not know the committed pricing tier existed.
Are You Overpaying for MongoDB?
Our MongoDB benchmark report shows your current Atlas and Enterprise Advanced pricing vs. market median and best-achieved rates, with specific negotiation guidance. 48-hour delivery, Confidential.
Use Cases
Common MongoDB Benchmarking Scenarios
Where organizations engage ISVCOSELL on MongoDB deals.
01 · Renewal
Atlas Agreement Renewal
MongoDB has been raising Atlas list prices 8-12% annually. Renewal is the highest-leverage moment to renegotiate commit structures, cluster pricing, and data transfer fees. Organizations that enter renewals without benchmarks routinely accept price increases they could have avoided.
02 · New Purchase
Initial Atlas Enterprise Agreement
First-time enterprise Atlas buyers have the most negotiating leverage, MongoDB wants to establish the relationship. Benchmark data lets you anchor on committed pricing from day one rather than discovering commit discounts exist after signing at list.
03 · Migration
On-Premise to Atlas Migration Pricing
Organizations migrating from Enterprise Advanced self-managed to Atlas frequently underestimate the cost delta. Our benchmark data covers TCO comparison frameworks that account for Atlas cluster sizing, data transfer costs, and managed infrastructure offsets.
04 · M&A Due Diligence
MongoDB Contract Review for Acquisitions
PE firms and M&A teams use our MongoDB benchmarks to assess whether target companies are overpaying on database costs, a frequent source of margin improvement in enterprise software portfolios. MongoDB contracts often contain unfavorable renewal mechanisms invisible to non-specialists.
Benchmark Your Deal
Submit Your MongoDB Proposal
Have a MongoDB Atlas renewal or new purchase? Upload your proposal and we'll return a benchmark report comparing your pricing against market data from MongoDB deals, including specific negotiation recommendations.
Atlas cluster tier analysis
Your per-cluster-hour rate vs. market range and best-achieved
Commit structure benchmarking
Annual vs. multi-year commit economics for your specific Atlas spend level
Add-on module pricing
Search, Vector Search, and Stream Processing vs. market norms
Submit Your MongoDB Proposal
Related Resources