Database & Data Management · head to head
DynamoDB vs Heroku

DynamoDB
Database & Data Management
Fast, flexible NoSQL database service for any scale
- From
- On request
- Rated
- -
The short version
- Each has a real cost: DynamoDB noSQL-only; does not support complex relational queries or SQL joins; Heroku there is no free dyno tier; the cheapest Eco dyno is $5 per month
- They diverge on capability: DynamoDB covers Single-digit Millisecond Latency, Heroku covers Git-based deployment.
Where they differ
Only the attributes on which DynamoDB and Heroku actually diverge.
Identical on both: free tier (No), user rating (Not yet rated).
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
- Single-digit Millisecond Latency
- Serverless
- Auto-scaling
- Global Tables
- Point-in-time Recovery
- Encryption
- Streams
- Lambda
Only in Heroku
- Git-based deployment
- Buildpacks
- Dynos (containers)
- Add-ons marketplace
- Postgres database
- Environment variables
- Logging
- API
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
DynamoDB
- High-scale, variable-workload applicationsnot Heroku
- Mobile and IoT device backendsnot Heroku
- Real-time analytics and dashboardsnot Heroku
- Multi-region, globally distributed applicationsnot Heroku
Heroku
- Deploying and scaling web applications with git push and no server administrationnot DynamoDB
- Running managed Postgres, Redis and Kafka as attached data servicesnot DynamoDB
- Isolated production environments in a Private Space for regulated workloadsnot DynamoDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DynamoDB
- NoSQL-only; does not support complex relational queries or SQL joins
- Limited query flexibility; requires thinking in terms of keys and indexes rather than ad-hoc queries
Heroku
- There is no free dyno tier; the cheapest Eco dyno is $5 per month
- Eco dynos sleep after 30 minutes of inactivity, are restricted to personal accounts and allow only 2 process types
- Free SSL and 10 process types start at the Basic dyno at $7 per month
- Private and Shield dyno types require a Private Space, which is billed on top of the dynos
- Private Space dynos start at $250 per month for Private-M and $500 per month for Private-L
- Dyno prices are per dyno per month, so an app with several process types multiplies the bill
Pricing, plan by plan
DynamoDB
On requestNo published plan breakdown. See the DynamoDB review.
Heroku
$7/month- Hobby$7/month
- 512MB RAM
- Shared CPU
- 1 web dyno
- Standard$50/month
- 512MB RAM
- Dedicated CPU
- Automatic scaling
Which should you pick?
Choose DynamoDB if
- You need single-digit millisecond latency.
- You work on AWS.
- You also want serverless.
Choose Heroku if
- You need git-based deployment.
- You work on Web, Api, Workers.
- You also want buildpacks.
Questions people ask
- Is DynamoDB or Heroku better?
- Neither clearly leads. DynamoDB starts at On request and Heroku at $7/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DynamoDB or Heroku?
- DynamoDB starts at On request and Heroku at $7/month.
- Does DynamoDB or Heroku run on more platforms?
- DynamoDB runs on AWS. Heroku runs on Web, Api, Workers.
- What is DynamoDB best used for?
- DynamoDB is most often used for high-scale, variable-workload applications, mobile and iot device backends, real-time analytics and dashboards, multi-region, globally distributed applications. Of those, high-scale, variable-workload applications and mobile and iot device backends are not what Heroku is typically brought in for.
- What can DynamoDB do that Heroku cannot?
- DynamoDB covers Single-digit Millisecond Latency, Serverless, Auto-scaling, Global Tables. Heroku covers Git-based deployment, Buildpacks, Dynos (containers), Add-ons marketplace. Both handle Web support.
Related pages
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- DynamoDB vs PostgreSQL
- DynamoDB vs Airtable
- DynamoDB vs Amazon Aurora
- DynamoDB vs Elasticsearch
- DynamoDB vs PlanetScale
- DynamoDB vs Azure SQL
- DynamoDB vs ClickHouse
- DynamoDB vs Couchbase
- DynamoDB vs DuckDB
- DynamoDB vs MariaDB
- DynamoDB vs Oracle Database
- DynamoDB vs Amazon RDS
- DynamoDB vs Amazon Redshift
- DynamoDB vs Apache Druid
- DynamoDB vs Cassandra
- DynamoDB vs CouchDB
- DynamoDB vs Firebolt
- DynamoDB vs Grafana Cloud
- DynamoDB vs Neon
- DynamoDB vs DigitalOcean
- DynamoDB vs AWS (Amazon Web Services)
- DynamoDB vs Lambda (AWS Serverless)
- DynamoDB vs Deno Deploy
- DynamoDB vs Hetzner Cloud
- DynamoDB vs Linode
- DynamoDB vs Packer
- DynamoDB vs Pulumi
- DynamoDB vs Render
- DynamoDB vs Upstash
- DynamoDB vs Vagrant
- DynamoDB vs Vultr
- DynamoDB vs Akamai
- DynamoDB vs Alibaba Cloud
- DynamoDB vs Chef
- DynamoDB vs Contabo
- Heroku vs Cockroach Labs
- Heroku vs PostgreSQL
- Heroku vs Airtable
- Heroku vs Amazon Aurora
- Heroku vs Elasticsearch
- Heroku vs PlanetScale
- Heroku vs Azure SQL
- Heroku vs ClickHouse
- Heroku vs Couchbase
- Heroku vs DuckDB
- Heroku vs MariaDB
- Heroku vs Oracle Database
- Heroku vs Amazon RDS
- Heroku vs Amazon Redshift
- Heroku vs Apache Druid
- Heroku vs Cassandra
- Heroku vs CouchDB
- Heroku vs Firebolt
- Heroku vs Grafana Cloud
- Heroku vs Neon
- Heroku vs DigitalOcean
- Heroku vs AWS (Amazon Web Services)
- Heroku vs Lambda (AWS Serverless)
- Heroku vs Deno Deploy
- Heroku vs Hetzner Cloud
- Heroku vs Linode
- Heroku vs Packer
- Heroku vs Pulumi
- Heroku vs Render
- Heroku vs Upstash
- Heroku vs Vagrant
- Heroku vs Vultr
- Heroku vs Akamai
- Heroku vs Alibaba Cloud
- Heroku vs Chef
- Heroku vs Contabo

