Software · head to head
Elasticsearch vs DynamoDB

Elasticsearch
Software
The heart of the Elastic Stack for search and analytics
- From
- Free
- Rated
- -

DynamoDB
Software
Fast, flexible NoSQL database service for any scale
- From
- On request
- Rated
- -
The short version
- Only Elasticsearch has a free tier, so it costs nothing to try first.
- Each has a real cost: Elasticsearch eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements; DynamoDB noSQL-only; does not support complex relational queries or SQL joins
- They diverge on capability: Elasticsearch covers Full-text Search, DynamoDB covers Single-digit Millisecond Latency.
Where they differ
Only the attributes on which Elasticsearch and DynamoDB actually diverge.
| Attribute | Elasticsearch | DynamoDB |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | Unknown | usage-based |
| Free tier | Yes | No |
| Platforms | Linux, Windows, macOS, Docker, Kubernetes | AWS |
| Founded | 2010 | 2006 |
Identical on both: user rating (Not yet rated), category (Unknown).
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 Elasticsearch
- Full-text Search
- Real-time Analytics
- Distributed Architecture
- RESTful API
- Schema-free JSON
- Aggregations
- Machine Learning
- Kibana
Only in DynamoDB
- Single-digit Millisecond Latency
- Serverless
- Auto-scaling
- Global Tables
- Point-in-time Recovery
- Encryption
- Streams
- Lambda
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Elasticsearch
- Real-time applicationsnot DynamoDB
- Content managementnot DynamoDB
- User profilesnot DynamoDB
- Mobile backendsnot DynamoDB
- Cachingnot DynamoDB
DynamoDB
- High-scale, variable-workload applicationsnot Elasticsearch
- Mobile and IoT device backendsnot Elasticsearch
- Real-time analytics and dashboardsnot Elasticsearch
- Multi-region, globally distributed applicationsnot Elasticsearch
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Elasticsearch
- Eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
- No support for ACID transactions or rollbacks; updates delete and re-insert documents
- JVM-dependent architecture requires careful memory management and monitoring to prevent garbage collection issues at scale
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
Pricing, plan by plan
Elasticsearch
Free- Self-ManagedFree
- Open source
- Self-hosted
- Elasticsearch Cloud$16.4/month
- Managed service
- 14-day free trial
DynamoDB
On requestNo published plan breakdown. See the DynamoDB review.
Which should you pick?
Choose Elasticsearch if
- You need full-text search.
- You want to start without paying.
- You work on Linux, Windows, macOS, Docker, Kubernetes.
- You also want real-time analytics.
Choose DynamoDB if
- You need single-digit millisecond latency.
- You work on AWS.
- You also want serverless.
Questions people ask
- Is Elasticsearch or DynamoDB better?
- Neither clearly leads. Elasticsearch starts at Free and DynamoDB at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Elasticsearch or DynamoDB?
- Elasticsearch has a free tier; the other does not. Paid plans start at Free for Elasticsearch and On request for DynamoDB.
- Does Elasticsearch or DynamoDB run on more platforms?
- Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes. DynamoDB runs on AWS.
- Can I use Elasticsearch for free?
- Yes. Elasticsearch has a free tier, so you can try it without paying. DynamoDB starts at On request.
- What is Elasticsearch best used for?
- Elasticsearch is most often used for real-time applications, content management, user profiles, mobile backends. Of those, real-time applications and content management are not what DynamoDB is typically brought in for.
- What can Elasticsearch do that DynamoDB cannot?
- Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. DynamoDB covers Single-digit Millisecond Latency, Serverless, Auto-scaling, Global Tables. Both handle Web support.
Answered from the vendors’ own pages
Elasticsearch: Is Elasticsearch free?
Yes, Elasticsearch can be deployed as free and open-source software for self-managed installations. Elastic Cloud managed service starts at $16.40 per month, with a free 14-day trial available.
SourceElasticsearch: Can I use Elasticsearch without Kibana?
Yes, Elasticsearch is a search engine independent of Kibana. Kibana is a visualization and analytics tool that works with Elasticsearch but is optional. You can use the Elasticsearch API directly for searching.
SourceElasticsearch: Does Elasticsearch support real-time indexing?
Elasticsearch indexes data with a refresh interval, typically 1 second. Data becomes searchable after the refresh cycle, making it near-real-time but not instantaneous. This can be configured but impacts performance.
SourceElasticsearch: What are Elasticsearch's scaling limitations?
Elasticsearch requires careful operational management at scale, including shard balancing, heap sizing, and monitoring. Large clusters can suffer from garbage collection issues and become expensive to operate.
SourceElasticsearch: Does Elasticsearch support transactions and rollbacks?
No, Elasticsearch does not support ACID transactions or rollbacks. Updates are expensive operations that delete and re-insert documents, making it unsuitable for transactional workloads.
SourceRelated pages
More on Elasticsearch
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