Databases · head to head
OpenSearch vs PlanetScale

OpenSearch
Databases
Open-source search and analytics suite forked from Elasticsearch
- From
- Free
- Rated
- -
The short version
- Each has a real cost: OpenSearch diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one; PlanetScale pricing varies significantly across 17+ AWS and GCP regions
- They diverge on capability: OpenSearch covers Full-text search, PlanetScale covers Database Branching.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which OpenSearch and PlanetScale actually diverge.
| Attribute | OpenSearch | PlanetScale |
|---|---|---|
| Pricing model | Open source, no licence fee; managed services billed separately | usage-based |
| Platforms | Linux, Docker, Kubernetes, Self-hosted | Cloud-hosted (AWS, GCP, Azure) |
| Founded | Unknown | 2018 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
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 OpenSearch
- Full-text search
- OpenSearch Dashboards
- Log analytics
- Vector search
Only in PlanetScale
- Database Branching
- Non-blocking Schema Changes
- Insights
- Horizontal Scaling
- Connection Pooling
- Query Caching
- Automatic Backups
- Global Replication
What people use each for
The jobs each tool is most often brought in to do.
OpenSearch
- Log and observability storage where an Apache-2.0 licence is a requirementnot PlanetScale
- Replacing Elasticsearch after the licence change without changing architecturenot PlanetScale
- Search plus analytics on one cluster rather than two systemsnot PlanetScale
PlanetScale
- MySQL-compatible applications requiring horizontal scalingnot OpenSearch
- PostgreSQL deployments with custom cluster configurationsnot OpenSearch
- Multi-region database deployments on AWS or GCPnot OpenSearch
- Applications requiring transparent sharding via Vitessnot OpenSearch
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
OpenSearch
- Diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one
- Operationally heavy in the way Elasticsearch is: cluster sizing, shard strategy and JVM tuning are ongoing work
- Smaller ecosystem of third-party tooling than Elasticsearch, which most integrations still target first
- Overkill for plain application search, where a dedicated search engine is far simpler
PlanetScale
- Pricing varies significantly across 17+ AWS and GCP regions
- Additional costs for EBS storage beyond base tier, backup storage, and egress
- Dedicated PgBouncer and replicas incur separate charges
- Metal tier pricing increases sharply with larger configurations
Pricing, plan by plan
OpenSearch
Free- OpenSearchFree
- Full functionality
- Self-hosted
- No usage limits
PlanetScale
Free- Postgres EBS Single-Node (ARM64 PS-5)$5/month
- 512 MiB RAM
- Single-node configuration
- EBS storage included
- Postgres EBS HA (ARM64 PS-5)$15/month
- 512 MiB RAM
- 3-node high-availability setup
- 1 primary + 2 replicas
- Postgres Metal (M-10)$50/month
- 1/8 vCPU, 1 GiB RAM
- 3-node HA configuration
- 10 GiB NVMe storage included
- Vitess Non-Metal 3-Node$39/month
- Sharding-capable database
- x86-64 architecture
- 3-node configuration
Which should you pick?
Choose OpenSearch if
- You need full-text search.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes, Self-hosted.
- You also want opensearch dashboards.
Choose PlanetScale if
- You need database branching.
- You want to start without paying.
- You work on Cloud-hosted (AWS, GCP, Azure).
- You also want non-blocking schema changes.
Questions people ask
- Is OpenSearch or PlanetScale better?
- Neither clearly leads. OpenSearch starts at Free and PlanetScale at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, OpenSearch or PlanetScale?
- OpenSearch starts at Free and PlanetScale at Free.
- Does OpenSearch or PlanetScale run on more platforms?
- OpenSearch runs on Linux, Docker, Kubernetes, Self-hosted. PlanetScale runs on Cloud-hosted (AWS, GCP, Azure).
- Can I use OpenSearch for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is OpenSearch best used for?
- OpenSearch is most often used for log and observability storage where an apache-2.0 licence is a requirement, replacing elasticsearch after the licence change without changing architecture, search plus analytics on one cluster rather than two systems. Of those, log and observability storage where an apache-2.0 licence is a requirement and replacing elasticsearch after the licence change without changing architecture are not what PlanetScale is typically brought in for.
- What can OpenSearch do that PlanetScale cannot?
- OpenSearch covers Full-text search, OpenSearch Dashboards, Log analytics, Vector search. PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling.
Answered from the vendors’ own pages
OpenSearch: Is OpenSearch free?
Yes, Apache 2.0 licensed under the Linux Foundation. Amazon OpenSearch Service is a paid managed option.
PlanetScale: How much does a PlanetScale Postgres database cost per month?
PlanetScale Postgres pricing starts at $5/month for single-node ARM64 configurations with 512 MiB RAM and $15/month for the same specs in high-availability mode with 1 primary and 2 replicas. Metal tier starts at $50/month for M-10 configuration (1/8 vCPU, 1 GiB RAM). Exact pricing depends on cluster size, node architecture (ARM64 vs x86-64), storage configuration, and selected AWS/GCP region.
SourceOpenSearch: Why does OpenSearch exist?
Elastic moved Elasticsearch off the Apache 2.0 licence in 2021. AWS forked the last Apache-licensed version, and the project now sits under the Linux Foundation.
PlanetScale: Is there a free tier for PlanetScale?
PlanetScale offers a free tier for development and testing workloads. After free tier limits are reached, usage-based pricing applies starting at $5/month for the smallest Postgres single-node configuration, with costs scaling based on cluster size, compute, storage, and additional features like dedicated PgBouncer or replicas.
SourceOpenSearch: Is OpenSearch compatible with Elasticsearch?
It was at the 7.10 fork point. Both have developed independently since, so compatibility weakens with every release and should be verified for the features you use.
PlanetScale: What is the difference between PlanetScale ARM64 and x86-64 pricing?
ARM64 instances cost significantly less than x86-64 equivalents. For example, a Postgres EBS HA cluster with 512 MiB RAM costs $15/month on ARM64 but $39/month on x86-64. This pricing difference extends across all cluster sizes, with larger x86-64 configurations reaching up to $5,599/month compared to ARM64 alternatives.
SourcePlanetScale: What is included in a PlanetScale cluster price versus additional costs?
The advertised cluster price covers the base compute and configured storage. Additional charges apply for EBS storage beyond the base allocation, backup storage, data egress, optional dedicated PgBouncer connections, and replicas beyond the base high-availability configuration. Regional pricing varies across 17+ AWS and GCP zones.
SourceRelated pages
More on PlanetScale
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- PlanetScale vs Apache Flink
- PlanetScale vs Apache Kafka
- PlanetScale vs Apache Druid
- PlanetScale vs Amazon Aurora
- PlanetScale vs Airtable
- PlanetScale vs Cockroach Labs
- PlanetScale vs PostgreSQL
- PlanetScale vs BigQuery
- PlanetScale vs MotherDuck
- PlanetScale vs FaunaDB
- PlanetScale vs DataGrip
- PlanetScale vs TiDB
- PlanetScale vs Readyset
- PlanetScale vs IBM Db2
- PlanetScale vs Instaclustr
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