MongoDB
by MongoDB · Document database and managed data platform with vector search
BenchRank score
Screenshots of MongoDB
Homepage
Overview
MongoDB is a document database available as MongoDB Atlas, a managed cloud service on AWS, Google Cloud and Azure, and as self-managed Community and Enterprise Advanced editions. Atlas covers operational, transactional, text, vector, graph, geospatial and analytical use in one platform, with separately priced add-ons for search, stream processing, charts, data federation and SQL access.
- Best for
- Teams that need document, vector and stream data in one managed database across major clouds
- Pricing
- Atlas has a free 512 MB tier, then hourly usage-based pricing: Flex at $0.011/hour (up to $30/month) and Dedicated from $0.08/hour (starts at $56.94/month); Enterprise Advanced and add-on prices are not shown.
- Runs on
- WebSelf-hostedCLI
Strengths and trade-offs
Strengths
- Operational, vector and stream data in a single platform
- Runs on AWS, Google Cloud, Azure, on-premises or hybrid
- Free 512 MB tier plus a source-available Community Edition
- Dedicated tiers list a 99.995% uptime SLA and auto-scaling
Trade-offs
- Hourly, consumption-based pricing makes monthly spend hard to predict
- Search, Vector Search, Charts and other add-ons are priced separately
- Uptime SLA and workload isolation are listed only on the Dedicated tier
- Free and Flex tiers use shared RAM and vCPU, with 512 MB to 5 GB storage
Pricing
Published plans and prices from MongoDB’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
This doesn’t look right — report a problem with MongoDB’s score
Where this comes from
The MongoDB pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
Alternatives in Databases
Ranked 1
88.2 — BenchRank score out of 100Supabase
Supabase · Hosted Postgres with auth, storage, realtime and edge functions
Best for: Developers who want a hosted Postgres database with auth, storage and APIs in one platform
Ranked 2
81.5 — BenchRank score out of 100Neon
Neon Postgres · Serverless Postgres with branching, auth, functions and object storage
Best for: Developers wanting serverless Postgres with branching for app, agent and per-tenant workloads.
Ranked 3
73.2 — BenchRank score out of 100Bytebase
Bytebase · Database change management and access control across many engines
Best for: Engineering and platform teams that need reviewed, audited schema changes and query access
Is this your product?
Claim MongoDB to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.