Technology · head to head
MongoDB vs Thought Machine

Thought Machine
Technology
Cloud native core banking where products are written as smart contracts
- From
- On request
- Rated
- -
The short version
- Only MongoDB has a free tier, so it costs nothing to try first.
- Each has a real cost: MongoDB 16 MB maximum document size limits large single objects; Thought Machine a core replacement is a two to four year programme at an established bank, and the licence is a minority of total cost against system integrator fees, parallel running and data migration.
- They diverge on capability: MongoDB covers Document model, Thought Machine covers Smart contract product engine.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which MongoDB and Thought Machine actually diverge.
| Attribute | MongoDB | Thought Machine |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | Unknown | quote |
| Free tier | Yes | No |
| Platforms | Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure) | Web, API, Cloud |
| Founded | 2007 | Unknown |
Identical on both: user rating (Not yet rated), category (Technology).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in MongoDB
- Document model
- Distributed architecture
- ACID transactions
- Real-time analytics
- Full-text search
- Time series data
- Geospatial queries
- Aggregation framework
Only in Thought Machine
- Smart contract product engine
- Cloud native architecture
- Real time ledger
- Vault Payments
- API first design
- Multi entity and multi currency
- Product versioning and testing
- Configurable posting rules
What people use each for
The jobs each tool is most often brought in to do.
MongoDB
- Mobile applicationsnot Thought Machine
- Content managementnot Thought Machine
- Real-time analyticsnot Thought Machine
- IoT applicationsnot Thought Machine
- Gaming backendsnot Thought Machine
Thought Machine
- A large bank launching a separate digital brand on a clean core rather than migrating the back booknot MongoDB
- A bank whose product launches are blocked by vendor change requests on a legacy corenot MongoDB
- An institution needing real time balances and postings for instant payment obligationsnot MongoDB
- A group consolidating multiple country cores onto one multi entity platformnot MongoDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
MongoDB
- 16 MB maximum document size limits large single objects
- No native JOIN support for relational data operations
- Higher memory usage due to storing field names with each document
- Eventual consistency in distributed deployments can cause data stale reads
Thought Machine
- A core replacement is a two to four year programme at an established bank, and the licence is a minority of total cost against system integrator fees, parallel running and data migration.
- The smart contract model presumes a bank can write and maintain Python financial products, and institutions without that engineering capability end up outsourcing the very flexibility they bought.
- Cloud infrastructure cost sits with the bank and is not trivial at scale, so total cost of ownership comparisons against a hosted legacy core often miss a large recurring line.
- Thought Machine has made two rounds of job cuts pursuing profitability, which is a legitimate supplier stability concern for a system a bank expects to run for fifteen years.
- The functional footprint is core ledger and product engine, so origination, collections, regulatory reporting and channels all come from other vendors, and the integration estate around Vault is the bank's problem to design and own.
Pricing, plan by plan
MongoDB
Free- M0Free
- 512 MB storage
- Learning and exploration
- M2$9/month
- 2 GB storage
- Development and testing
- M5$25/month
- 5 GB storage
- M10+$56.94/month
- Dedicated clusters for production
Thought Machine
On request- Vault Core$undefined/year
- Quoted per institution, typically on account volumes or annual contract value
- Implementation and system integrator costs commonly exceed the licence fee
- Cloud infrastructure costs are the bank's and are not included
Which should you pick?
Choose MongoDB if
- You need document model.
- You want to start without paying.
- You work on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure).
- You also want distributed architecture.
Choose Thought Machine if
- You need smart contract product engine.
- You work on Web, API, Cloud.
- You also want cloud native architecture.
Questions people ask
- Is MongoDB or Thought Machine better?
- Neither clearly leads. MongoDB starts at Free and Thought Machine at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, MongoDB or Thought Machine?
- MongoDB has a free tier; the other does not. Paid plans start at Free for MongoDB and On request for Thought Machine.
- Does MongoDB or Thought Machine run on more platforms?
- MongoDB runs on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure). Thought Machine runs on Web, API, Cloud.
- Can I use MongoDB for free?
- Yes. MongoDB has a free tier, so you can try it without paying. Thought Machine starts at On request.
- What is MongoDB best used for?
- MongoDB is most often used for mobile applications, content management, real-time analytics, iot applications. Of those, mobile applications and content management are not what Thought Machine is typically brought in for.
- What can MongoDB do that Thought Machine cannot?
- MongoDB covers Document model, Distributed architecture, ACID transactions, Real-time analytics. Thought Machine covers Smart contract product engine, Cloud native architecture, Real time ledger, Vault Payments.
Answered from the vendors’ own pages
MongoDB: Does MongoDB offer a free tier?
Yes. MongoDB Atlas offers an M0 free tier with 512 MB storage for learning and exploration, plus paid options starting at $9/month for M2 with 2 GB storage.
SourceThought Machine: Is Vault Core genuinely cloud native?
Yes. It is containerised, runs on Kubernetes on public cloud, and posts in real time rather than in overnight batch.
MongoDB: Can I self-host MongoDB?
Yes. You can run MongoDB Community Edition on your own servers, or use MongoDB Enterprise Advanced for self-managed production deployments with enterprise features.
SourceThought Machine: How long does a migration take?
Eighteen months at the absolute fastest for a narrow greenfield launch; two to four years for a phased migration at an established bank.
MongoDB: What is the maximum document size in MongoDB?
Documents are limited to 16 MB. For documents exceeding this limit, you can use MongoDB's GridFS API to store files larger than the maximum size.
SourceThought Machine: Does the licence fee represent the total cost?
No. Implementation, system integration, parallel running and cloud infrastructure typically cost more than the licence over the programme.
MongoDB: Does MongoDB support ACID transactions?
Yes. MongoDB supports ACID transactions within a single document by default, and multi-document ACID transactions are available for replica sets and sharded clusters in MongoDB 4.0+.
SourceRelated pages
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