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Databases · head to head

DynamoDB vs Fivetran HVR

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
Rated
-
Full reviewWebsite
Fivetran HVR logo

Fivetran HVR

Databases

Log-based change data capture for database replication and synchronization

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only DynamoDB has a free tier, so it costs nothing to try first.
  • 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.; Fivetran HVR pricing not published separately; part of Fivetran's usage model
  • They diverge on capability: DynamoDB covers Managed and serverless, Fivetran HVR covers Log-based change capture.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DynamoDB and Fivetran HVR actually diverge.

Attributes where DynamoDB and Fivetran HVR differ
AttributeDynamoDBFivetran HVR
Starting priceFreeOn request
Pricing modelusage-basedUsage-based, integrated with Fivetran billing
Free tierYesNo
PlatformsAWSData Warehouse, Data Lake, Operational Databases
Founded20062012

Identical on both: 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 Fivetran HVR

  • Log-based change capture
  • Real-time replication
  • Schema evolution handling
  • Multi-table consistency
  • Zero-impact monitoring
  • Fivetran integration

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

Fivetran HVR

  • Real-time database replication to data warehousesnot DynamoDB
  • Maintaining operational copies for analyticsnot DynamoDB
  • Disaster recovery and business continuitynot DynamoDB
  • Feeding AI systems with fresh governed 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.

Fivetran HVR

  • Pricing not published separately; part of Fivetran's usage model
  • Requires Fivetran relationship for implementation
  • Limited standalone documentation and community resources
  • May be overkill for simple batch replication needs
  • Competitive offerings provide more transparent per-connector pricing

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

Fivetran HVR

On request

No published plan breakdown. See the Fivetran HVR 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 Fivetran HVR if

  • You need log-based change capture.
  • You work on Data Warehouse, Data Lake, Operational Databases.
  • You also want real-time replication.
Fivetran HVR review

Questions people ask

Is DynamoDB or Fivetran HVR better?
Neither clearly leads. DynamoDB starts at Free and Fivetran HVR at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DynamoDB or Fivetran HVR?
DynamoDB has a free tier; the other does not. Paid plans start at Free for DynamoDB and On request for Fivetran HVR.
Does DynamoDB or Fivetran HVR run on more platforms?
DynamoDB runs on AWS. Fivetran HVR runs on Data Warehouse, Data Lake, Operational Databases.
Can I use DynamoDB for free?
Yes. DynamoDB has a free tier, so you can try it without paying. Fivetran HVR starts at On request.
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 Fivetran HVR is typically brought in for.
What can DynamoDB do that Fivetran HVR cannot?
DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes. Fivetran HVR covers Log-based change capture, Real-time replication, Schema evolution handling, Multi-table consistency.

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.

Fivetran HVR: What databases does Fivetran HVR support?

HVR supports major databases including Oracle, SQL Server, PostgreSQL, MySQL, and others that emit transaction logs.

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.

Fivetran HVR: Is HVR part of standard Fivetran pricing?

Yes, HVR is integrated into Fivetran's usage-based pricing model with standard per-row-synced and transformation costs.

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.

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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