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Databases · head to head

DynamoDB vs Okteto

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
Free plan
Yes
Visit DynamoDBFull review
Okteto logo

Okteto

Developer Tools

Runs production-like development environments on your own Kubernetes cluster

From
Free
Free plan
Yes
Visit OktetoFull review

The short version

  • Okteto is free; DynamoDB starts at $0.625/mo.
  • Only DynamoDB lists managed and serverless; only Okteto lists cluster development environments.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which DynamoDB and Okteto actually diverge.

Attributes where DynamoDB and Okteto differ
AttributeDynamoDBOkteto
Pricing modelUsage-basedQuote
PlatformsAWSLinux, macOS, Windows, API, Self-hosted, Web
CategoryDatabasesDeveloper Tools

Identical on both: starting price (Free), free tier (Yes).

Not yet recorded: founded for Okteto.

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 Okteto

  • Cluster development environments
  • File synchronisation
  • Development containers
  • Environment catalogue
  • Preview environments
  • Bring your own cloud

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

Okteto

  • A microservices estate where no developer can run the full dependency graph on a laptopnot DynamoDB
  • Giving each pull request a working environment reviewers can click rather than describenot DynamoDB
  • Letting coding agents build and test against real databases and queues instead of mocksnot DynamoDB
  • Removing a fleet of local Kubernetes installations that drift from production and produce false test resultsnot 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

Okteto

  • Two of the three plans publish no price at all, with no currency and no billing period stated anywhere, so any budget above five seats requires a sales conversation before you can even compare it with an alternative
  • The Apache-2.0 CLI is restricted to the development section of the manifest, so build services, user management and observability all require the commercial platform and the open licence provides very little continuity insurance
  • The last disclosed funding round is a 15 million US dollar Series A from February 2022 with nothing announced since, and the contributor base is dominated by company employees, which is concentrated risk for something embedded in every developer daily loop
  • You must bring and pay for the Kubernetes cluster, so node cost, capacity planning and version upgrades stay with your platform team on top of the licence fee
  • The 2026 repositioning towards AI agents means the classic developer inner loop is no longer what the marketing leads with, so a buyer purchasing that use case should confirm roadmap commitment rather than assume it

Pricing, plan by plan

DynamoDB

Free
  • On-Demand CapacityOn request
    • 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 CapacityOn request
    • 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

Okteto

Free
  • StarterFree
    • 5 seats included
    • Self-hosted deployment into your own cluster
    • Community support
  • ScaleOn request
    • Contact sales, no price, currency or billing period published
    • More seats and environments than Starter
    • Self-hosted deployment
  • EnterpriseOn request
    • Contact sales, no price published
    • Bring your own cloud deployment
    • Available through Google Cloud and AWS marketplaces

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 Okteto if

  • You need cluster development environments.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, API, Self-hosted, Web.
  • You also want file synchronisation.
Okteto review

Questions people ask

Is DynamoDB or Okteto better?
Neither clearly leads. DynamoDB starts at Free and Okteto at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DynamoDB or Okteto?
DynamoDB starts at Free and Okteto at Free.
Does DynamoDB or Okteto run on more platforms?
DynamoDB runs on AWS. Okteto runs on Linux, macOS, Windows, API, Self-hosted, 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 Okteto is typically brought in for.
What can DynamoDB do that Okteto cannot?
DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes. Okteto covers Cluster development environments, File synchronisation, Development containers, Environment catalogue.

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.

Okteto: Is Okteto open source?

The CLI is Apache-2.0, but the README states it supports only the development section of the manifest. Everything operationally interesting, including builds, user management and observability, is in the commercial platform.

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.

Okteto: What does it cost?

Only the free Starter tier with five seats is published. Scale and Enterprise are both contact sales, with no price, currency or billing period disclosed on the pricing page.

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.

Okteto: Do I need my own Kubernetes cluster?

Yes. Okteto installs into a cluster you provide and pay for, so capacity, upgrades and node costs remain your responsibility in addition to the licence.

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.

Okteto: How is this different from running Kubernetes locally?

Environments run against the same managed databases, queues and service mesh as production, so a class of failures that only appears in a real cluster is caught before merge rather than after deploy.

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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