Developer Tools · head to head
Cody vs DynamoDB
Cody
Developer Tools
AI coding assistant powered by code search
- From
- Free
- Free plan
- Yes
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
The short version
- Cody is free; DynamoDB starts at $0.625/mo.
- Where Cody falls short: sourcegraph now publishes a single Enterprise plan starting at $16K, with no free or individual Pro tier listed on the pricing page.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which Cody and DynamoDB actually diverge.
Identical on both: starting price (Free), free tier (Yes).
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 Cody
Nothing recorded that DynamoDB does not also cover.
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.
Cody
- Code completion and intelligent autocomplete in IDEsnot DynamoDB
- Developer chat with codebase context awarenessnot DynamoDB
- Automated debugging and error identificationnot DynamoDB
- Customizable prompts for workflow automationnot DynamoDB
DynamoDB
- High-volume keyed workloads such as sessions, shopping carts, device state or user profiles where the access pattern is fixed and knownnot Cody
- Traffic that spikes unpredictably, where on-demand capacity absorbs a burst without a capacity-planning exercisenot Cody
- Serverless applications on Lambda, where an HTTP-based datastore avoids the connection pooling problem relational databases havenot Cody
- Event or telemetry ingestion where writes vastly outnumber reads and each record is retrieved by a known identifiernot Cody
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Cody
- Sourcegraph now publishes a single Enterprise plan starting at $16K, with no free or individual Pro tier listed on the pricing page
- sourcegraph.com/cody redirects to the documentation rather than a Cody product or pricing page
- AI features are metered as credits included per user, and exceeding the allocation requires buying a higher volume bucket
- Volume credit buckets are sold as an add-on rather than included
- A customer success manager and premium support are optional paid extras on top of the Enterprise plan
- Standard support is 24x5 rather than 24x7, with round-the-clock coverage sold as an upgrade
- The published $16K figure is a starting price that scales with team size, so the actual cost is quoted rather than listed
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
Cody
FreeNo published plan breakdown. See the Cody review.
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
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.
Questions people ask
- Is Cody or DynamoDB better?
- Neither clearly leads. Cody 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, Cody or DynamoDB?
- Cody starts at Free and DynamoDB at Free.
- Does Cody or DynamoDB run on more platforms?
- Cody runs on Web. DynamoDB runs on AWS.
- Can I use Cody for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Cody best used for?
- Cody is most often used for code completion and intelligent autocomplete in ides, developer chat with codebase context awareness, automated debugging and error identification, customizable prompts for workflow automation. Of those, code completion and intelligent autocomplete in ides and developer chat with codebase context awareness are not what DynamoDB is typically brought in for.
- What can Cody do that DynamoDB cannot?
- DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes.
Answered from the vendors’ own pages
Cody: Is Cody free?
Cody offers a free tier for individual developers via VS Code, JetBrains, Visual Studio, and the web app. Unlimited free usage is available for solo developers.
SourceDynamoDB: 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.
Cody: What does Cody Enterprise cost?
Cody Enterprise pricing is custom and requires contacting Sourcegraph sales. It is available for Sourcegraph Enterprise customers and must be quoted based on your deployment and usage needs.
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.
Cody: What LLMs does Cody use?
Cody uses the latest large language models for code completions, chat, and debugging. It leverages Sourcegraph's advanced Search API to pull codebase context from local and remote repositories.
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.
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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- DynamoDB vs PhpStorm
- DynamoDB vs GitLab CI/CD
- DynamoDB vs MongoDB
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- DynamoDB vs Cassandra
- DynamoDB vs BigQuery
- DynamoDB vs FaunaDB
- DynamoDB vs Memcached
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- DynamoDB vs PlanetScale
- DynamoDB vs Couchbase
- DynamoDB vs DataGrip
- DynamoDB vs Firebase Realtime Database
- DynamoDB vs Microsoft SQL Server
- DynamoDB vs QuestDB
- DynamoDB vs Vitess
- DynamoDB vs Aiven
- DynamoDB vs CouchDB
- DynamoDB vs Google Cloud SQL
- DynamoDB vs CosmosDB