Is DynamoDB or Vespa better?

Neither clearly leads. DynamoDB starts at Free and Vespa at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.

Which is cheaper, DynamoDB or Vespa?

DynamoDB starts at Free and Vespa at Free.

Does DynamoDB or Vespa run on more platforms?

DynamoDB runs on AWS. Vespa runs on Cloud, Self-hosted.

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 Vespa is typically brought in for.

What can DynamoDB do that Vespa cannot?

DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes. Vespa covers Vector search, Text and structured search, Machine-learned ranking, Real-time serving.

Databases · head to head

DynamoDB vs Vespa

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 review Website

Vespa

Databases

Distributed AI search platform for retrieval, ranking, and inference

From: Free
Rated: -

Full review Website

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.; Vespa pricing not publicly listed, requires contacting sales
They diverge on capability: DynamoDB covers Managed and serverless, Vespa covers Vector search.
Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DynamoDB and Vespa actually diverge.

Attributes where DynamoDB and Vespa differ
Attribute	DynamoDB	Vespa
Pricing model	usage-based	contact-sales
Platforms	AWS	Cloud, Self-hosted
Founded	2006	2023

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 Vespa

Vector search
Text and structured search
Machine-learned ranking
Real-time serving
SQL interface
Automatic scaling
Open-source

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 Vespa
Traffic that spikes unpredictably, where on-demand capacity absorbs a burst without a capacity-planning exercisenot Vespa
Serverless applications on Lambda, where an HTTP-based datastore avoids the connection pooling problem relational databases havenot Vespa
Event or telemetry ingestion where writes vastly outnumber reads and each record is retrieved by a known identifiernot Vespa

Vespa

Build RAG systems with semantic search over documentsnot DynamoDB
Power e-commerce search with ML rankingnot DynamoDB
Create recommendation engines for personalizationnot DynamoDB
Implement real-time search for news or feedsnot DynamoDB
Deploy private semantic search over sensitive datanot 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.

Vespa

Pricing not publicly listed, requires contacting sales
Steeper learning curve compared to simpler search tools
Operational complexity for self-hosted deployments
Smaller ecosystem compared to cloud-native alternatives

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

Vespa

Free

No published plan breakdown. See the Vespa review.

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.

DynamoDB review

Choose Vespa if

You need vector search.
You want to start without paying.
You work on Cloud, Self-hosted.
You also want text and structured search.

Vespa review

Questions people ask

Is DynamoDB or Vespa better?: Neither clearly leads. DynamoDB starts at Free and Vespa at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DynamoDB or Vespa?: DynamoDB starts at Free and Vespa at Free.
Does DynamoDB or Vespa run on more platforms?: DynamoDB runs on AWS. Vespa runs on Cloud, Self-hosted.
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 Vespa is typically brought in for.
What can DynamoDB do that Vespa cannot?: DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes. Vespa covers Vector search, Text and structured search, Machine-learned ranking, Real-time serving.

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.

Vespa: Is Vespa open-source?

Yes, Vespa is open-source under the Apache 2.0 license. The code is available on GitHub, and you can self-host or use the managed cloud service.

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.

Vespa: What latency can Vespa achieve?

Vespa is designed for sub-100 millisecond latencies with thousands of queries per second, suitable for real-time search and recommendation applications.

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.

Vespa: Does Vespa support vector search?

Yes, Vespa provides native vector search capabilities alongside text, structured data, and tensor operations for building comprehensive search and AI applications.

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.

Vespa: What is the pricing model for Vespa Cloud?

Vespa Cloud pricing is not publicly listed and requires contacting their sales team to discuss your specific use case and scale requirements.

Source

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.

DynamoDB vs Vespa

DynamoDB

Vespa

The short version

Where they differ

What each one covers

Only in DynamoDB

Only in Vespa

What people use each for

DynamoDB

Vespa

Where each one falls short

DynamoDB

Vespa

Pricing, plan by plan

DynamoDB

Vespa

Which should you pick?

Choose DynamoDB if

Choose Vespa if

Questions people ask

Answered from the vendors’ own pages

Related pages

More on DynamoDB

More on Vespa

Keep looking

Other head to heads