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Databases · head to head

DynamoDB vs Hookdeck

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
Hookdeck logo

Hookdeck

Developer Tools

Event gateway that receives, queues, retries and replays inbound webhooks

From
Free
Free plan
Yes
Visit HookdeckFull review

The short version

  • Free plans on both; paid from $0.625/mo and $39/mo.
  • Only DynamoDB lists managed and serverless; only Hookdeck lists ingest and persist.
  • Where Hookdeck falls short: pricing meters delivered events, so fan-out multiplies the bill: one inbound event routed to four services counts as four deliveries.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which DynamoDB and Hookdeck actually diverge.

Attributes where DynamoDB and Hookdeck differ
AttributeDynamoDBHookdeck
Pricing modelUsage-basedPer month by delivered event count
PlatformsAWSWeb, Linux, macOS, Windows
CategoryDatabasesDeveloper Tools

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

Not yet recorded: founded for Hookdeck.

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 Hookdeck

  • Ingest and persist
  • Automatic retries
  • Filters and fan-out
  • Transformations
  • Local development CLI
  • Rate limiting

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

Hookdeck

  • A payments integration where losing a Stripe event during a deploy causes an order to go unfulfillednot DynamoDB
  • Fanning one provider webhook out to several internal services without each subscribing separatelynot DynamoDB
  • Debugging a partner integration by replaying the exact failing payload after shipping a fixnot DynamoDB
  • Receiving production-shaped webhooks on a developer laptop without running a public tunnelnot 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

Hookdeck

  • Pricing meters delivered events, so fan-out multiplies the bill: one inbound event routed to four services counts as four deliveries
  • Free-tier retention is three days, which is shorter than the time it typically takes to notice a failing integration, so the payloads needed for a replay are often already gone
  • It becomes a single point of failure in front of every third-party integration, and an outage there means every provider webhook queues or fails at once
  • The transformation layer runs JavaScript in a constrained environment, so anything that needs a database lookup or an external call has to happen downstream instead
  • For a team already running Kafka or SQS the value is mostly the console and the replay UI, which is a hard cost to justify against infrastructure they already operate

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

Hookdeck

Free
  • DeveloperFree
    • Up to ten thousand events per month
    • Three-day retention
    • One user
  • Team$39/mo
    • Ten thousand events included
    • Unlimited users
    • Pay as you go metering above the included events
  • Growth$499/mo
    • Ten thousand events included plus metered usage
    • Thirty-day retention
    • Uptime and latency SLAs
  • EnterpriseOn request
    • Negotiated event volume
    • Custom retention
    • Dedicated support

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 Hookdeck if

  • You need ingest and persist.
  • You want to start without paying.
  • You work on Web, Linux, macOS, Windows.
  • You also want automatic retries.
Hookdeck review

Questions people ask

Is DynamoDB or Hookdeck better?
Neither clearly leads. DynamoDB starts at Free and Hookdeck at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DynamoDB or Hookdeck?
DynamoDB starts at Free and Hookdeck at Free.
Does DynamoDB or Hookdeck run on more platforms?
DynamoDB runs on AWS. Hookdeck runs on Web, Linux, macOS, Windows.
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 Hookdeck is typically brought in for.
What can DynamoDB do that Hookdeck cannot?
DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes. Hookdeck covers Ingest and persist, Automatic retries, Filters and fan-out, Transformations.

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.

Hookdeck: Is there a free plan?

Yes, ten thousand events a month with three-day retention and one user.

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.

Hookdeck: How is usage counted?

By delivered events, so a single inbound webhook fanned out to three destinations counts as three.

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.

Hookdeck: Can I replay a failed webhook?

Yes, individually or in bulk from the console, with the original payload.

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.

Hookdeck: Does it work for outbound webhooks too?

Yes, the same queueing, retry and observability applies to webhooks you send.

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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