Databases · head to head
Elasticsearch vs Redis

Elasticsearch
Databases
The heart of the Elastic Stack for search and analytics
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Elasticsearch eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements; Redis licensing changed from BSD to AGPL in 2025, impacting open-source usage
- They diverge on capability: Elasticsearch covers Full-text Search, Redis covers In-memory data store.
Where they differ
Only the attributes on which Elasticsearch and Redis actually diverge.
| Attribute | Elasticsearch | Redis |
|---|---|---|
| Platforms | Linux, Windows, macOS, Docker, Kubernetes | Linux, macOS, Windows |
| Category | Databases | Technology |
| Founded | 2010 | 2009 |
Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), 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 Elasticsearch
- Full-text Search
- Real-time Analytics
- Distributed Architecture
- RESTful API
- Schema-free JSON
- Aggregations
- Machine Learning
- Kibana
Only in Redis
- In-memory data store
- Data structures
- Pub/Sub messaging
- Lua scripting
- Transactions
- Persistence options
- Replication
- Clustering
What people use each for
The jobs each tool is most often brought in to do.
Elasticsearch
- Real-time applicationsnot Redis
- Content managementnot Redis
- User profilesnot Redis
- Mobile backendsnot Redis
- Caching
Redis
- Caching
- Session managementnot Elasticsearch
- Real-time analyticsnot Elasticsearch
- Message queuingnot Elasticsearch
- Leaderboardsnot Elasticsearch
Both are used for caching, on those jobs the choice comes down to price and fit rather than capability.
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
Redis
- Licensing changed from BSD to AGPL in 2025, impacting open-source usage
- All data must fit in memory, limiting scalability to available RAM
- No built-in support for multi-tenancy
- Limited transaction support compared to traditional databases
Pricing, plan by plan
Elasticsearch
Free- Self-ManagedFree
- Open source
- Self-hosted
- Elasticsearch Cloud$16.4/month
- Managed service
- 14-day free trial
Redis
FreeNo published plan breakdown. See the Redis 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 Redis if
- You need in-memory data store.
- You want to start without paying.
- You work on Linux, macOS, Windows.
- You also want data structures.
Questions people ask
- Is Elasticsearch or Redis better?
- Neither clearly leads. Elasticsearch starts at Free and Redis at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Elasticsearch or Redis?
- Elasticsearch starts at Free and Redis at Free.
- Does Elasticsearch or Redis run on more platforms?
- Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes. Redis runs on Linux, macOS, Windows.
- Can I use Elasticsearch for free?
- Both have a free tier, so you can try either at no cost before committing.
- 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 Redis is typically brought in for.
- What can Elasticsearch do that Redis cannot?
- Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. Redis covers In-memory data store, Data structures, Pub/Sub messaging, Lua scripting.
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.
SourceRedis: Is Redis open source?
Redis was open source under the BSD license since its inception in 2009 and has remained open source. However, in 2024-2025, Redis Labs changed licensing to source-available and AGPL, prompting the creation of Valkey, a BSD-licensed open-source fork.
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.
SourceRedis: What is Redis used for?
Redis is an in-memory data structure store used primarily as a cache, database, and message broker. It provides high-speed data access for real-time applications, sessions, leaderboards, real-time analytics, and other use cases requiring fast data retrieval.
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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- Redis vs Cockroach Labs
- Redis vs PostgreSQL
- Redis vs Airtable
- Redis vs Amazon Aurora
- Redis vs Apache Kafka
- Redis vs PlanetScale
- Redis vs Meilisearch
- Redis vs Turso
- Redis vs Azure SQL
- Redis vs ClickHouse
- Redis vs Couchbase
- Redis vs DuckDB
- Redis vs MariaDB
- Redis vs Oracle Database
- Redis vs DataGrip
- Redis vs Firebolt
- Redis vs Google Cloud SQL
- Redis vs MotherDuck
- Redis vs Asana
- Redis vs ClickUp
- Redis vs Linear
- Redis vs Figma
- Redis vs Kubernetes
- Redis vs Notion
- Redis vs Datadog
- Redis vs Monday.com
- Redis vs Terraform
- Redis vs Docker
- Redis vs Greenhouse
- Redis vs Google Chrome
- Redis vs Intercom
- Redis vs Mozilla Firefox
- Redis vs Okta
- Redis vs PostHog
- Redis vs Supabase
- Redis vs Amplitude

