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Understanding DynamoDB Pricing (2026)

Adela · Jul 22, 2026

Update history

  1. Refreshed all prices against the live AWS pricing pages: corrected on-demand WRU/RRU rates (AWS halved on-demand prices in Nov 2024), reserved-capacity savings, and the data transfer free tier; recomputed the on-demand example.
  2. Initial version.

Amazon DynamoDB is a serverless NoSQL database built for high performance and scalability. It handles web, mobile, gaming, and IoT apps without requiring server management - AWS takes care of everything.

Pricing Overview

DynamoDB charges for reading, writing, and storing data in your tables, along with any optional features you choose to enable. It has two capacity modes with their respective billing options for processing reads and writes on your tables: On-Demand Capacity Mode (auto-scaling) and Provisioned Capacity Mode (fixed capacity).

Core Pricing Components

1. Data Storage

You’re billed monthly per GB of data stored. DynamoDB offers two table classes:

  • Standard: Optimized for frequent access and low-latency workloads.

  • Standard-IA: Lower storage cost for infrequently accessed data but higher per-operation cost.

Charges include data size plus indexing overhead. Monitoring tools like AWS Cost Explorer or CloudWatch help track usage and optimize storage costs.

2. Read and Write Throughput

Throughput is billed differently based on capacity mode:

  • Provisioned Mode: You specify WCUs (1 KB writes/sec) and RCUs (4 KB strongly consistent reads/sec, or 2 eventually consistent). You pay hourly for the allocated capacity regardless of usage.
  • On-Demand Mode: You pay per request—WRUs for writes and RRUs for reads. One WRU = 1 KB write; one RRU = 4 KB strongly consistent read (or two eventually consistent reads).

On-Demand is better for unpredictable workloads; Provisioned is cheaper for steady traffic. Eventually consistent reads cost half as much as strongly consistent ones.

3. Data Transfer

  • Inbound traffic (from the internet or same-region AWS services) is free.
  • Outbound traffic to the internet is billed per GB with tiered pricing.
  • Intra-region transfers are free within the same AZ using private IPs but incur costs across AZs.
  • Cross-region transfers (e.g., Global Tables replication) are charged at higher rates.

Monitoring cross-region and internet-bound traffic is essential for avoiding unexpected costs.

On-Demand vs. Provisioned Capacity

On-Demand Mode

  • Best for: Unpredictable or spiky workloads.
  • No capacity planning: DynamoDB auto-scales to meet demand.
  • Pricing:
    • Pay per request.
    • 1 WRU = write up to 1 KB.
    • 1 RRU = read up to 4 KB (1 strongly or 2 eventually consistent reads).
  • Pros: Simple, flexible, no idle charges.
  • Cons: Higher cost for consistently high traffic.

Provisioned Mode

  • Best for: Predictable, steady workloads.
  • You predefine: Read (RCU) and write (WCU) capacity.
  • Pricing:
    • Billed per hour, whether used or not.
    • 1 WCU = 1 write/sec for 1 KB.
    • 1 RCU = 1 read/sec for 4 KB.
  • Features:
    • Auto Scaling adjusts capacity within limits.
    • Reserved Capacity offers up to 77% savings.

Choosing the Right Mode

ScenarioUse
Spiky or unknown trafficOn-Demand
Steady, predictable workloadProvisioned
Want simplicity, no planningOn-Demand
Can commit for savingsProvisioned + Reserved

You can switch modes daily per table. Monitor with CloudWatch and Cost Explorer to optimize usage and cost.

Core Pricing in US East (N. Virginia)

Take us-east-1 as an example:

Pricing ComponentOn-Demand ModeProvisioned Mode
Write Request Unit (WRU)$0.625 per million$0.00065 per WCU-hour
Read Request Unit (RRU)$0.125 per million$0.00013 per RCU-hour
Data Storage$0.25 per GB-month$0.25 per GB-month
Backup (On-Demand)$0.10 per GB-month$0.10 per GB-month
Point-in-Time Recovery (PITR)$0.20 per GB-month$0.20 per GB-month
Restore from Backup$0.15 per GB$0.15 per GB
Data Transfer Out (Internet)First 100 GB free*, then $0.09 per GBFirst 100 GB free*, then $0.09 per GB

*The 100 GB free data transfer is aggregated across all AWS services and Regions each month.

✅ Free Tier: 25 GB storage + 25 WCUs + 25 RCUs + 2.5 million DynamoDB Streams read requests per month.

Example Scenarios

Scenario 1: On-Demand Mode

App Type: Startup with variable traffic

Monthly Usage:

  • 3.55 million writes (1 KB each)
  • 3.55 million reads (1 KB each)
  • 27 GB data storage

Cost Calculation:

  • Writes: 3.55M × $0.625/million = $2.22
  • Reads: 3.55M × $0.125/million = $0.44
  • Storage: (27 GB - 25 GB Free Tier) × $0.25 = $0.50

Total Cost: $3.16/month

Scenario 2: Provisioned Mode

App Type: Established SaaS with steady load

Provisioned Capacity:

  • 100 WCUs
  • 200 RCUs
  • 50 GB storage

Cost Calculation:

  • Writes: 100 × $0.00065 × 730 hrs = $47.45
  • Reads: 200 × $0.00013 × 730 hrs = $18.98
  • Storage: 50 GB × $0.25 = $12.50

Total Cost: $78.93/month

DynamoDB Cost Optimization Tips

1. Pick the Right Capacity Mode

  • On-Demand: Great for unpredictable workloads.
  • Provisioned: Lower cost for steady traffic; use Auto Scaling.
  • Switch modes once per day per table.

2. Use Reserved Capacity

  • Save up to 54% (1-year term) or 77% (3-year term) in provisioned mode.

3. Optimize Storage

  • Use Standard-IA for infrequent access.
  • Archive or delete unused data to S3/Glacier.
  • Design efficient schemas to reduce size and access cost.

4. Reduce Read/Write Costs

  • Use eventually consistent reads (half the cost).
  • Batch operations with BatchGetItem and BatchWriteItem.
  • Avoid scans; use queries and GSIs.
  • Keep items small; store large data in S3.

5. Leverage DAX

  • Cache read-heavy data with DAX to reduce RCUs.
  • Ensure DAX savings exceed node costs.

6. Monitor Usage

  • Track with CloudWatch and Cost Explorer.
  • Set budgets and alerts.
  • Use Trusted Advisor for optimization suggestions.

7. Manage Backups

  • Delete unused backups.
  • Monitor PITR retention costs.
  • Stay within free backup limits.

Conclusion

DynamoDB offers scalable, serverless performance with flexible pricing. To keep costs low, choose the right capacity mode, optimize usage, and monitor with AWS tools like CloudWatch and Cost Explorer. Smart planning ensures both performance and efficiency.

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