
Serverless NoSQL database with single-digit millisecond latency
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- Price
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Key facts
- Amazon DynamoDB is a serverless NoSQL database designed for applications requiring single-digit millisecond latency
- It scales automatically to handle any workload with built-in security and backup capabilities
- Free tier with 25GB storage, then pay per read/write capacity or on-demand
Pros
- Fully managed NoSQL
- Single-digit millisecond latency
- Scales automatically
- Serverless option
- Global tables
Cons
- Pricing complex
- Query limitations
- No joins or complex queries
- Vendor lock-in
- Learning curve for data modeling
What is Amazon DynamoDB?
Available on: Web
Ratings Across the Web
Amazon DynamoDB holds an aggregate rating of 2.9 out of 5 from 951 reviews across G2 and Trustpilot, last checked September 17, 2026.
Ratings aggregated from independent review platforms. Learn more
Key Features
- NoSQL database
- Serverless
- Single-digit latency
- Auto-scaling
- Global tables
- AWS
Pricing Plans
Free TrialPricing checked Oct 1, 2026
| Plan | Price | Details |
|---|---|---|
| Free Tier | Custom | Usage-based pricing
+1 more Show less
|
| On-Demand Popular | $1.25/per 1M writes | Pay-per-request
+1 more Show less
|
| Provisioned | $0.001/per WCU/hour | Predictable workloads
|
Is Amazon DynamoDB worth the price?
DynamoDB's pricing is generally fair, especially with the generous Free Tier and the upcoming 50% price reduction in Jan 2025.
The On-Demand tier at $1.25 per 1M writes and $0.25 per 1M reads offers excellent flexibility for unpredictable workloads. Provisioned capacity at $0.00065 per WCU/hour provides significant savings for stable, high-throughput applications.
Reviews

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Best Amazon DynamoDB Alternatives
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Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.
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Amazon DynamoDB FAQ
How does Amazon DynamoDB ensure high performance for applications?
Which teams would benefit most from using Amazon DynamoDB?
How is Amazon DynamoDB priced?
What kind of data modeling challenges might users encounter with DynamoDB?
Can DynamoDB replicate data across different geographical regions?
How does Amazon DynamoDB compare to Azure Cosmos DB?
When is DynamoDB a suitable choice for a new application?
Source: aws.amazon.com