Databases · head to head
DynamoDB vs Notion

DynamoDB
Databases
AWS-only managed key-value and document database with fixed per-partition throughput limits and no ad hoc queries.
- From
- Free
- Rated
- -

Notion
Technology
All-in-one workspace for notes, tasks, wikis, and databases
- From
- Free
- Rated
- -
The short version
- Each has a real cost: DynamoDB access patterns must be designed into the key schema before launch; a query nobody anticipated needs a new global secondary index, which is a full extra copy of the projected attributes billed as storage and as writes, or an offline migration.; Notion free plan limited to 1,000 blocks for 2+ member workspaces, restricting team usage
- They diverge on capability: DynamoDB covers Managed and serverless, Notion covers Rich text editing with blocks.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which DynamoDB and Notion actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 DynamoDB
- Managed and serverless
- Predictable latency
- On-demand or provisioned capacity
- Global secondary indexes
- Transactions
- DynamoDB Streams
- Global tables
- Point-in-time recovery
Only in Notion
- Rich text editing with blocks
- Customizable databases
- Kanban boards and calendars
- Real-time collaboration
- Template library
- File attachments
- Web clipper
- API access
What people use each for
The jobs each tool is most often brought in to do.
DynamoDB
- High-volume keyed workloads such as sessions, shopping carts, device state or user profiles where the access pattern is fixed and knownnot Notion
- Traffic that spikes unpredictably, where on-demand capacity absorbs a burst without a capacity-planning exercisenot Notion
- Serverless applications on Lambda, where an HTTP-based datastore avoids the connection pooling problem relational databases havenot Notion
- Event or telemetry ingestion where writes vastly outnumber reads and each record is retrieved by a known identifiernot Notion
Notion
- Project managementnot DynamoDB
- Knowledge base creationnot DynamoDB
- Note-taking and documentationnot DynamoDB
- Team collaborationnot DynamoDB
- Content planningnot DynamoDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DynamoDB
- Access patterns must be designed into the key schema before launch; a query nobody anticipated needs a new global secondary index, which is a full extra copy of the projected attributes billed as storage and as writes, or an offline migration.
- Global secondary indexes are eventually consistent and cannot be read strongly, so a read-after-write against an index can legitimately miss the item that was just written, and application code must be written to tolerate that.
- Per-partition throughput is capped at roughly 3,000 read and 1,000 write units, so a hot key throttles even when the table has spare capacity overall, and the only real fix is changing the key design to spread the load.
- Items are limited to 400 KB and query results paginate at 1 MB, so large or list-shaped data has to be split, offloaded to S3 with a pointer, or read through pagination loops that complicate every consumer.
- It runs only on AWS and the API is proprietary rather than a standard, so moving the data layer means rewriting it; ScyllaDB's Alternator is the only meaningfully compatible target and it brings a much smaller ecosystem.
Notion
- Free plan limited to 1,000 blocks for 2+ member workspaces, restricting team usage
- Free tier only includes trial AI capabilities; full Notion AI requires paid plan
- Page history limited to 7 days on free plan
- Per-member pricing increases costs for teams compared to flat-rate competitors
- Limited automation capabilities compared to dedicated workflow platforms
Pricing, plan by plan
DynamoDB
Free- On-Demand Capacity$null/usage-based
- Pay-per-request pricing with automatic scaling
- Read: 0.5 RRU per 4 KB (eventually consistent), 1 RRU per 4 KB (strongly consistent), 2 RRU per 4 KB (transactional)
- Write: 1 WRU per 1 KB
- Provisioned Capacity$null/hourly
- Fixed hourly charges based on reserved capacity
- RCU rate: $0.00013 per hour (Standard)
- WCU rate: $0.00065 per hour (Standard)
- Standard Table Class Storage$0.25/per GB/month
- $0.25 per GB/month after free tier
- First 25 GB free per month (free tier)
- Standard-Infrequent Access Table Class$0.1/per GB/month
- $0.10 per GB/month
Notion
Free- FreeFree
- 1000 block limit (2+ members)
- 7-day page history
- 5MB file upload cap
- Plus$10/month
- Unlimited blocks
- 30-day page history
- Unlimited file uploads
- Business$20/month
- All Plus features
- Notion Agent
- AI Meeting Notes
- Enterprise$undefined/custom
- All Business features
- Advanced controls
- Audit logs
Which should you pick?
Choose DynamoDB if
- You need managed and serverless.
- You want to start without paying.
- You work on AWS.
- You also want predictable latency.
Choose Notion if
- You need rich text editing with blocks.
- You want to start without paying.
- You work on Web, iOS, Android.
- You also want customizable databases.
Questions people ask
- Is DynamoDB or Notion better?
- Neither clearly leads. DynamoDB starts at Free and Notion at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DynamoDB or Notion?
- DynamoDB starts at Free and Notion at Free.
- Does DynamoDB or Notion run on more platforms?
- DynamoDB runs on AWS. Notion runs on Web, iOS, Android.
- Can I use DynamoDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is DynamoDB best used for?
- DynamoDB is most often used for high-volume keyed workloads such as sessions, shopping carts, device state or user profiles where the access pattern is fixed and known, traffic that spikes unpredictably, where on-demand capacity absorbs a burst without a capacity-planning exercise, serverless applications on lambda, where an http-based datastore avoids the connection pooling problem relational databases have, event or telemetry ingestion where writes vastly outnumber reads and each record is retrieved by a known identifier. Of those, high-volume keyed workloads such as sessions, shopping carts, device state or user profiles where the access pattern is fixed and known and traffic that spikes unpredictably, where on-demand capacity absorbs a burst without a capacity-planning exercise are not what Notion is typically brought in for.
- What can DynamoDB do that Notion cannot?
- DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes. Notion covers Rich text editing with blocks, Customizable databases, Kanban boards and calendars, Real-time collaboration.
Answered from the vendors’ own pages
DynamoDB: On-demand or provisioned capacity?
On-demand suits unpredictable or spiky traffic and removes capacity planning. Provisioned with autoscaling is considerably cheaper for steady high-volume workloads. Tables can be switched between them, though not arbitrarily often.
Notion: What features are included in the free Notion plan?
The free plan ($0/member/month) includes trial AI capabilities, basic forms and sites, Notion Calendar access, unlimited databases, up to 10 external guests, and 7-day page history.
SourceDynamoDB: Can I run DynamoDB outside AWS?
No. DynamoDB Local exists for development and testing only. For a production-compatible alternative elsewhere, ScyllaDB's Alternator implements the DynamoDB API, but it is a different system with a different ecosystem.
Notion: What is the difference between Plus and Business plans?
Plus ($10/member/month) adds custom forms, unlimited file uploads, and 30-day history. Business ($20/member/month) adds Notion Agent for autonomous tasks, AI Meeting Notes, and advanced security features.
SourceDynamoDB: Can I run ad hoc queries or analytics?
Not on the table itself. Scans are slow and expensive at scale. The usual pattern is to export to S3 or stream changes out and query them in Athena, Redshift or another analytical engine.
Notion: How does Notion calculate billing when team members join mid-month?
New members added mid-month incur prorated charges for the current billing period and are included in future billings.
SourceDynamoDB: Is single-table design necessary?
It is the pattern that gets the most from DynamoDB when access patterns are well known, because it lets related items be retrieved in one query. It also makes the model harder to evolve, so many teams reasonably choose multiple simpler tables and accept extra requests.
Notion: What is the refund policy for Notion subscriptions?
New users receive a full refund within 3 days for monthly plans or 30 days for annual plans. EU/UK customers get a 14-day refund window per regional policy.
SourceDynamoDB: What are the real limits I should design around?
400 KB per item, 1 MB per query or scan page, 100 items per transaction, roughly 3,000 read and 1,000 write units per partition, and eventual consistency on global secondary indexes.
Notion: What happens if a payment fails on my Notion account?
Failed payments are retried up to 8 times before the account automatically downgrades to the free plan.
SourceRelated pages
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