Databases · head to head
Couchbase vs DynamoDB

DynamoDB
Databases
AWS-only managed key-value and document database with fixed per-partition throughput limits and no ad hoc queries.
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Couchbase the free tier is a single node with 8 GB of storage and forum support only; 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.
- They diverge on capability: Couchbase covers JSON Document Model, DynamoDB covers Managed and serverless.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Couchbase and DynamoDB actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
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 Couchbase
- JSON Document Model
- SQL++ Query
- Full-text Search
- Eventing
- Analytics
- Mobile Sync
- Multi-dimensional Scaling
- Kafka
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
What people use each for
The jobs each tool is most often brought in to do.
Couchbase
- Running a distributed NoSQL document database as a managed servicenot DynamoDB
- Mobile sync and offline first applications backed by a cloud databasenot DynamoDB
DynamoDB
- High-volume keyed workloads such as sessions, shopping carts, device state or user profiles where the access pattern is fixed and knownnot Couchbase
- Traffic that spikes unpredictably, where on-demand capacity absorbs a burst without a capacity-planning exercisenot Couchbase
- Serverless applications on Lambda, where an HTTP-based datastore avoids the connection pooling problem relational databases havenot Couchbase
- Event or telemetry ingestion where writes vastly outnumber reads and each record is retrieved by a known identifiernot Couchbase
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Couchbase
- The free tier is a single node with 8 GB of storage and forum support only
- Node rates are hourly and quoted as starting figures, from $0.15 an hour on Basic to $0.49 on Enterprise
- The Developer Pro and Enterprise plans require 3 nodes, so the hourly rate multiplies before any usage
- Backup storage is billed separately at $0.07 per GB a month, and analytics backups at $0.14
- Support response time is a plan feature, at 8 hours on Developer Pro against 30 minutes on Enterprise
- AI and analytics run as separately priced planes at up to $0.86 an hour per node
DynamoDB
- Access patterns must be designed into the key schema before launch; a query nobody anticipated needs a new global secondary index, which is a full extra copy of the projected attributes billed as storage and as writes, or an offline migration.
- Global secondary indexes are eventually consistent and cannot be read strongly, so a read-after-write against an index can legitimately miss the item that was just written, and application code must be written to tolerate that.
- Per-partition throughput is capped at roughly 3,000 read and 1,000 write units, so a hot key throttles even when the table has spare capacity overall, and the only real fix is changing the key design to spread the load.
- Items are limited to 400 KB and query results paginate at 1 MB, so large or list-shaped data has to be split, offloaded to S3 with a pointer, or read through pagination loops that complicate every consumer.
- It runs only on AWS and the API is proprietary rather than a standard, so moving the data layer means rewriting it; ScyllaDB's Alternator is the only meaningfully compatible target and it brings a much smaller ecosystem.
Pricing, plan by plan
Couchbase
Free- CommunityFree
- Full features
- Community support
- Self-managed
- Capella FreeFree
- Managed service
- Limited resources
- Cloud hosted
DynamoDB
Free- On-Demand Capacity$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
Which should you pick?
Choose Couchbase if
- You need json document model.
- You want to start without paying.
- You work on Linux, Windows, Mac, Docker, Web.
- You also want sql++ query.
Choose DynamoDB if
- You need managed and serverless.
- You want to start without paying.
- You work on AWS.
- You also want predictable latency.
Questions people ask
- Is Couchbase or DynamoDB better?
- Neither clearly leads. Couchbase starts at Free and DynamoDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Couchbase or DynamoDB?
- Couchbase starts at Free and DynamoDB at Free.
- Does Couchbase or DynamoDB run on more platforms?
- Couchbase runs on Linux, Windows, Mac, Docker, Web. DynamoDB runs on AWS.
- Can I use Couchbase for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Couchbase best used for?
- Couchbase is most often used for running a distributed nosql document database as a managed service, mobile sync and offline first applications backed by a cloud database. Of those, running a distributed nosql document database as a managed service and mobile sync and offline first applications backed by a cloud database are not what DynamoDB is typically brought in for.
- What can Couchbase do that DynamoDB cannot?
- Couchbase covers JSON Document Model, SQL++ Query, Full-text Search, Eventing. DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes.
Answered from the vendors’ own pages
Couchbase: Does Couchbase offer a free tier?
Yes, Couchbase offers a free tier option. Users can start for free from the main website.
SourceDynamoDB: 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.
Couchbase: How do I access Couchbase pricing details?
Couchbase maintains a dedicated pricing page, but detailed tier information and costs are not available on the homepage. You can visit the pricing page or contact their sales team.
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.
DynamoDB: 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.
DynamoDB: 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.
DynamoDB: 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.
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