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Databases · head to head

DynamoDB vs GitLab CI/CD

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
GitLab CI/CD logo

GitLab CI/CD

Developer Tools

Automatically build, test, deploy, and monitor your applications with GitLab CI/CD

From
Free
Free plan
Yes
Visit GitLab CI/CDFull review

The short version

  • GitLab CI/CD is free; DynamoDB starts at $0.625/mo.
  • Where GitLab CI/CD falls short: compute minute quotas for Premium and Ultimate tiers not disclosed in documentation.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which DynamoDB and GitLab CI/CD actually diverge.

Attributes where DynamoDB and GitLab CI/CD differ
AttributeDynamoDBGitLab CI/CD
Pricing modelUsage-basedFreemium
PlatformsAWSWeb
CategoryDatabasesDeveloper Tools

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

Not yet recorded: founded for GitLab CI/CD.

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 GitLab CI/CD

Nothing recorded that DynamoDB does not also cover.

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

GitLab CI/CD

  • Reducing open source project infrastructure costs with public project discountsnot DynamoDB
  • Enforcing monthly CI/CD spending limits and quota notificationsnot DynamoDB
  • Allocating compute minutes to open source contributors affordablynot DynamoDB
  • Forecasting CI/CD spending patterns across multiple projectsnot DynamoDB
  • Providing private runners for cost control without owning infrastructurenot 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

GitLab CI/CD

  • Compute minute quotas for Premium and Ultimate tiers not disclosed in documentation
  • Additional compute minutes beyond quota incur charges; exact pricing not specified

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

GitLab CI/CD

Free
  • FreeFree
    • 400 compute minutes per month for free tier namespaces
    • Linux x86-64 runners at 1x cost factor
  • PremiumOn request
    • Higher monthly compute minute quotas than free tier
    • Additional compute minutes available for purchase
  • UltimateOn request
    • Highest monthly compute minute allocations
    • Additional compute minutes available for purchase

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 GitLab CI/CD if

  • You want to start without paying.
GitLab CI/CD review

Questions people ask

Is DynamoDB or GitLab CI/CD better?
Neither clearly leads. DynamoDB starts at Free and GitLab CI/CD at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DynamoDB or GitLab CI/CD?
DynamoDB starts at Free and GitLab CI/CD at Free.
Does DynamoDB or GitLab CI/CD run on more platforms?
DynamoDB runs on AWS. GitLab CI/CD runs on 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 GitLab CI/CD is typically brought in for.
What can DynamoDB do that GitLab CI/CD cannot?
DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes.

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.

GitLab CI/CD: How many GitLab CI compute minutes does the free tier include?

The free tier of GitLab CI includes 400 compute minutes per month for free tier namespaces on GitLab.com.

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.

GitLab CI/CD: What is the cost factor for different GitLab CI runner types?

Linux x86-64 small runners cost 1x; medium runners cost 2x; large runners cost 3x. macOS and Windows runners have cost factors of 6-12x and are in beta status.

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.

GitLab CI/CD: Do public open-source projects get discounts on GitLab CI compute minutes?

Public open-source projects receive a 0.5x discount on compute minutes. Public forks of GitLab open-source projects receive a 0.008x discount.

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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