Databases · head to head
DynamoDB vs Firebolt

DynamoDB
Databases
AWS-only managed key-value and document database with fixed per-partition throughput limits and no ad hoc queries.
- From
- Free
- Rated
- -

Firebolt
Databases
Sub-second analytics at cloud data warehouse scale
- From
- $1.84/hour
- Rated
- -
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.; Firebolt compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop
- They diverge on capability: DynamoDB covers Managed and serverless, Firebolt covers Sub-second Queries.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which DynamoDB and Firebolt actually diverge.
Identical on both: pricing model (usage-based), 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 Firebolt
- Sub-second Queries
- Sparse Indexes
- Data Pruning
- Decoupled Storage/Compute
- SQL Support
- Semi-structured Data
- Workload Isolation
- Airflow
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 Firebolt
- Traffic that spikes unpredictably, where on-demand capacity absorbs a burst without a capacity-planning exercisenot Firebolt
- Serverless applications on Lambda, where an HTTP-based datastore avoids the connection pooling problem relational databases havenot Firebolt
- Event or telemetry ingestion where writes vastly outnumber reads and each record is retrieved by a known identifiernot Firebolt
Firebolt
- Data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirementsnot DynamoDB
- Real-time business intelligence platforms requiring ACID transactions and snapshot isolationnot DynamoDB
- Applications needing vector search on analytical data for similarity queriesnot 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.
Firebolt
- Compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop
- Storage pass-through charged at $0.0264/GB monthly on compressed data; uncompressed storage could exceed this
- Azure deployment currently in Preview status; production recommendations unclear
- Vector indexes limited to float arrays; other data types require alternative indexing strategies
- Free tier credits ($200) limited; no perpetual free tier for production use
Pricing, plan by plan
DynamoDB
Free- On-Demand Capacity$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
Firebolt
$1.84/hourNo published plan breakdown. See the Firebolt 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.
Choose Firebolt if
- You need sub-second queries.
- You work on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes.
- You also want sparse indexes.
Questions people ask
- Is DynamoDB or Firebolt better?
- Neither clearly leads. DynamoDB starts at Free and Firebolt at $1.84/hour, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DynamoDB or Firebolt?
- DynamoDB has a free tier; the other does not. Paid plans start at Free for DynamoDB and $1.84/hour for Firebolt.
- Does DynamoDB or Firebolt run on more platforms?
- DynamoDB runs on AWS. Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes.
- Can I use DynamoDB for free?
- Yes. DynamoDB has a free tier, so you can try it without paying. Firebolt starts at $1.84/hour.
- 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 Firebolt is typically brought in for.
- What can DynamoDB do that Firebolt cannot?
- DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes. Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute.
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.
Firebolt: How does Firebolt's compute billing model work?
Firebolt uses per-second billing with scale-to-zero capability. The smallest S tier costs $1.84 per hour with 8 vCPU and 64GB memory, while the largest 4XL tier costs $58.88 per hour with 256 vCPU. Users only pay when compute is running.
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.
Firebolt: What is the cost for data storage on Firebolt?
Storage costs $0.0264 per GB per month on object storage, billed as pass-through cost at cloud provider rates.
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.
Firebolt: What free credits or trial does Firebolt offer new users?
New users receive $200 free credits to get started with the platform.
SourceDynamoDB: 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.
Firebolt: Does Firebolt publish pricing for commitment-based discounts?
The pricing FAQ lists a question about commitment-based discounts but does not provide published answers on the pricing page. This requires direct inquiry with sales.
SourceDynamoDB: 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.
Firebolt: What deployment options does Firebolt offer besides managed service?
Firebolt offers self-hosted open source deployment (unlimited) and Bring Your Own Cloud (BYOC) options in addition to managed service.
SourceRelated pages
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