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Databases · head to head

CouchDB vs DynamoDB

CouchDB logo

CouchDB

Databases

Seamless multi-master sync with Apache CouchDB

From
Free
Rated
-
Full reviewWebsite
DynamoDB logo

DynamoDB

Databases

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: CouchDB append-only storage model may have performance implications for certain workloads with high update rates; 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: CouchDB covers Multi-master Replication, DynamoDB covers Managed and serverless.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which CouchDB and DynamoDB actually diverge.

Attributes where CouchDB and DynamoDB differ
AttributeCouchDBDynamoDB
Pricing modelopen-sourceusage-based
PlatformsDocker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry PiAWS
Founded19992006

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 CouchDB

  • Multi-master Replication
  • HTTP/JSON API
  • MapReduce Views
  • ACID Semantics
  • Offline-first
  • Conflict Resolution
  • Fauxton UI
  • PouchDB

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.

CouchDB

  • Offline-first applications requiring seamless replication across mobile and server environmentsnot DynamoDB
  • Multi-master deployments where data consistency eventually resolves across regionsnot DynamoDB
  • IoT and edge computing scenarios with intermittent connectivitynot DynamoDB

DynamoDB

  • High-volume keyed workloads such as sessions, shopping carts, device state or user profiles where the access pattern is fixed and knownnot CouchDB
  • Traffic that spikes unpredictably, where on-demand capacity absorbs a burst without a capacity-planning exercisenot CouchDB
  • Serverless applications on Lambda, where an HTTP-based datastore avoids the connection pooling problem relational databases havenot CouchDB
  • Event or telemetry ingestion where writes vastly outnumber reads and each record is retrieved by a known identifiernot CouchDB

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

CouchDB

  • Append-only storage model may have performance implications for certain workloads with high update rates
  • Requires network synchronisation for cluster data consistency; can introduce latency in multi-master scenarios
  • No explicit support for complex joins; MapReduce queries may be inefficient compared to relational databases

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

CouchDB

Free

No published plan breakdown. See the CouchDB review.

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 CouchDB if

  • You need multi-master replication.
  • You want to start without paying.
  • You work on Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi.
  • You also want http/json api.
CouchDB review

Choose DynamoDB if

  • You need managed and serverless.
  • You want to start without paying.
  • You work on AWS.
  • You also want predictable latency.
DynamoDB review

Questions people ask

Is CouchDB or DynamoDB better?
Neither clearly leads. CouchDB 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, CouchDB or DynamoDB?
CouchDB starts at Free and DynamoDB at Free.
Does CouchDB or DynamoDB run on more platforms?
CouchDB runs on Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi. DynamoDB runs on AWS.
Can I use CouchDB for free?
Both have a free tier, so you can try either at no cost before committing.
What is CouchDB best used for?
CouchDB is most often used for offline-first applications requiring seamless replication across mobile and server environments, multi-master deployments where data consistency eventually resolves across regions, iot and edge computing scenarios with intermittent connectivity. Of those, offline-first applications requiring seamless replication across mobile and server environments and multi-master deployments where data consistency eventually resolves across regions are not what DynamoDB is typically brought in for.
What can CouchDB do that DynamoDB cannot?
CouchDB covers Multi-master Replication, HTTP/JSON API, MapReduce Views, ACID Semantics. DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes.

Answered from the vendors’ own pages

CouchDB: Is Apache CouchDB free to use?

Yes, Apache CouchDB is completely free to download and use. It is open source software licensed under the Apache License 2.0.

Source
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.

CouchDB: Can I use CouchDB for commercial purposes?

Yes, the Apache License 2.0 permits commercial use. The license is permissive and does not restrict business applications.

Source
DynamoDB: 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.

CouchDB: Is there a paid support or professional services option?

CouchDB's homepage mentions Professional Services as an available option, but no pricing details or specific service costs are listed. Contact the Apache CouchDB project for more information.

Source
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.

CouchDB: Who handles hosting costs if I use CouchDB?

CouchDB is self-hosted, so you are responsible for your own infrastructure and hosting costs. The software itself is free.

Source
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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