Software · head to head
Elasticsearch vs PlanetScale

Elasticsearch
Software
The heart of the Elastic Stack for search and analytics
- From
- Free
- 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; PlanetScale eBS High Availability requires 3-node configuration with replication overhead
- They diverge on capability: Elasticsearch covers Full-text Search, PlanetScale covers Database Branching.
Where they differ
Only the attributes on which Elasticsearch and PlanetScale actually diverge.
| Attribute | Elasticsearch | PlanetScale |
|---|---|---|
| Starting price | Free | $15/month |
| Pricing model | Unknown | subscription |
| Free tier | Yes | No |
| Platforms | Linux, Windows, macOS, Docker, Kubernetes | Cloud-hosted (AWS, GCP, Azure) |
| Founded | 2010 | 2018 |
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 PlanetScale
- Database Branching
- Non-blocking Schema Changes
- Insights
- Horizontal Scaling
- Connection Pooling
- Query Caching
- Automatic Backups
- Global Replication
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Elasticsearch
- Real-time applicationsnot PlanetScale
- Content managementnot PlanetScale
- User profilesnot PlanetScale
- Mobile backendsnot PlanetScale
- Cachingnot PlanetScale
PlanetScale
- MySQL database hosting with automatic failover and replicationnot Elasticsearch
- Vitess-based sharding for horizontal scaling across large datasetsnot Elasticsearch
- Cloud provider flexibility across AWS, GCP, Azure with 60+ regionsnot Elasticsearch
- Cost-effective database clusters using ARM64 architecture optionsnot 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
PlanetScale
- EBS High Availability requires 3-node configuration with replication overhead
- EBS Non-HA single-node option lacks redundancy and automatic failover
- Pricing varies by cloud provider and region, requiring queries for specific rates
- ARM64 architecture only available on EBS tier, not Metal deployments
Pricing, plan by plan
Elasticsearch
Free- Self-ManagedFree
- Open source
- Self-hosted
- Elasticsearch Cloud$16.4/month
- Managed service
- 14-day free trial
PlanetScale
$15/monthNo published plan breakdown. See the PlanetScale 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 PlanetScale if
- You need database branching.
- You work on Cloud-hosted (AWS, GCP, Azure).
- You also want non-blocking schema changes.
Questions people ask
- Is Elasticsearch or PlanetScale better?
- Neither clearly leads. Elasticsearch starts at Free and PlanetScale at $15/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Elasticsearch or PlanetScale?
- Elasticsearch has a free tier; the other does not. Paid plans start at Free for Elasticsearch and $15/month for PlanetScale.
- Does Elasticsearch or PlanetScale run on more platforms?
- Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes. PlanetScale runs on Cloud-hosted (AWS, GCP, Azure).
- Can I use Elasticsearch for free?
- Yes. Elasticsearch has a free tier, so you can try it without paying. PlanetScale starts at $15/month.
- 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 PlanetScale is typically brought in for.
- What can Elasticsearch do that PlanetScale cannot?
- Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling. 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
More on PlanetScale
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