Databases · head to head
DynamoDB vs RavenDB

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: 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.; RavenDB the free Developer licence bars commercial use and expires every 6 months, requiring renewal
- They diverge on capability: DynamoDB covers Managed and serverless, RavenDB covers ACID Transactions.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which DynamoDB and RavenDB 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 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 RavenDB
- ACID Transactions
- Auto-indexing
- Full-text Search
- Graph Queries
- Distributed Counters
- Time Series
- Document Compression
- .NET
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 RavenDB
- Traffic that spikes unpredictably, where on-demand capacity absorbs a burst without a capacity-planning exercisenot RavenDB
- Serverless applications on Lambda, where an HTTP-based datastore avoids the connection pooling problem relational databases havenot RavenDB
- Event or telemetry ingestion where writes vastly outnumber reads and each record is retrieved by a known identifiernot RavenDB
RavenDB
- Running a distributed document database with ACID transactionsnot DynamoDB
- Self hosting a multi node database cluster on your own hardwarenot DynamoDB
- Replicating operational data out to analytics systems through ETLnot 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.
RavenDB
- The free Developer licence bars commercial use and expires every 6 months, requiring renewal
- The free Community licence caps a customer at 60 cores and forces you to stay on the latest major version
- The Professional licence is limited to a single database, a 5 node cluster, 40 cores and 240 GB RAM
- Sharding across nodes, ETL to OLAP, Elasticsearch and Kafka, and data archival are Enterprise only
- Enterprise and AI licence pricing is contact us only with no published rate
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
RavenDB
Free- CommunityFree
- 3 cores
- 6GB RAM
- Community support
- Professional$499/year
- Production use
- Professional support
- Advanced features
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 RavenDB if
- You need acid transactions.
- You want to start without paying.
- You work on Linux, Windows, Mac, Docker, Web.
- You also want auto-indexing.
Questions people ask
- Is DynamoDB or RavenDB better?
- Neither clearly leads. DynamoDB starts at Free and RavenDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DynamoDB or RavenDB?
- DynamoDB starts at Free and RavenDB at Free.
- Does DynamoDB or RavenDB run on more platforms?
- DynamoDB runs on AWS. RavenDB runs on Linux, Windows, Mac, Docker, Web.
- 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 RavenDB is typically brought in for.
- What can DynamoDB do that RavenDB cannot?
- DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes. RavenDB covers ACID Transactions, Auto-indexing, Full-text Search, Graph Queries.
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.
RavenDB: Is RavenDB free or open source?
RavenDB is open source under the AGPLv3 license and available on GitHub. It also offers a free developer license with enterprise-level features limited to 9 cores, 36GB max RAM, 3 nodes, and non-commercial use.
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.
RavenDB: Can I use RavenDB commercially for free?
RavenDB offers a free Community License that permits commercial deployment with unlimited databases and sizes, subject to a 60-core maximum per customer and requirement to run the latest major version.
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.
RavenDB: What commercial licensing options does RavenDB offer?
RavenDB offers Professional, Enterprise, and AI tiers for commercial use. Pricing for these tiers requires contacting their sales team at [email protected].
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.
RavenDB: Does RavenDB offer a cloud hosting option?
RavenDB Cloud provides a fully managed cloud database with maintenance, failover, and backups included. Pricing is available at cloud.ravendb.net/pricing.
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.
RavenDB: Is there a refund window if I purchase RavenDB?
RavenDB offers a 30-day refund window for purchased licenses.
SourceRelated pages
Other head to heads
- DynamoDB vs Elasticsearch
- DynamoDB vs Cassandra
- DynamoDB vs Cockroach Labs
- DynamoDB vs Airtable
- DynamoDB vs PostgreSQL
- DynamoDB vs BigQuery
- DynamoDB vs FaunaDB
- DynamoDB vs Memcached
- DynamoDB vs ScyllaDB
- DynamoDB vs PlanetScale
- DynamoDB vs Couchbase
- DynamoDB vs CosmosDB
- DynamoDB vs DataStax
- DynamoDB vs dbt
- DynamoDB vs EMQX
- DynamoDB vs Firebase Realtime Database
- DynamoDB vs CouchDB
- DynamoDB vs Amazon Aurora
- DynamoDB vs ArangoDB
- DynamoDB vs DataGrip
- DynamoDB vs Firestore
- DynamoDB vs Dragonfly
- DynamoDB vs Dremio
- DynamoDB vs Fivetran HVR
- DynamoDB vs Grist
- DynamoDB vs IBM Db2
- DynamoDB vs Instaclustr
- RavenDB vs Elasticsearch
- RavenDB vs Cassandra
- RavenDB vs Cockroach Labs
- RavenDB vs Airtable
- RavenDB vs PostgreSQL
- RavenDB vs BigQuery
- RavenDB vs FaunaDB
- RavenDB vs Memcached
- RavenDB vs ScyllaDB
- RavenDB vs PlanetScale
- RavenDB vs Couchbase
- RavenDB vs CosmosDB
- RavenDB vs DataStax
- RavenDB vs dbt
- RavenDB vs EMQX
- RavenDB vs Firebase Realtime Database
- RavenDB vs CouchDB
- RavenDB vs Amazon Aurora
- RavenDB vs ArangoDB
- RavenDB vs DataGrip
- RavenDB vs Firestore
- RavenDB vs Dragonfly
- RavenDB vs Dremio
- RavenDB vs Fivetran HVR
- RavenDB vs Grist
- RavenDB vs IBM Db2
- RavenDB vs Instaclustr

