Amazon OpenSearch vs. Elasticsearch | Elastic (original) (raw)

Elasticsearch delivers unmatched ease of use, faster performance, and advanced capabilities that drive efficiency — all while helping you reduce infrastructure costs.

Pay more money for slower search? No, thank you.

Our goal is to reduce your infrastructure costs. Lower compute, storage, and memory costs — you really can have it all without sacrificing speed or accuracy. With Elasticsearch innovations like searchable snapshots and autoscaling, you get up to 12x faster search and efficient resource usage, keeping costs low as your data grows.

Faster and more powerful

Elasticsearch is up to 2.4x faster in general search and up to 12x faster for vector search vs. OpenSearch, out of the box. Maximize your search performance while minimizing overhead.

Developer-friendly features

Elastic makes search and analysis effortless with built-in AI models, simplified inference workflows, cross-cluster search, a low code prototyping environment, and much more.

More cost-effective

Elastic cuts costs with searchable snapshots, Elasticsearch logsdb index mode, TSDS, autoscaling, and vector compression (BBQ) — without sacrificing performance.

Serverless, for real

Maximize feature benefits and cost savings compared to OpenSearch. Plus, run Elasticsearch where you want to run it — on Azure, GCP, and/or AWS.

Real customers with real savings

• 
  A Brazilian bank moved off AWS OpenSearch and implemented Elastic Observability to monitor the entire customer journey, reducing cloud log storage costs by 58%.
• 
  A US real estate marketing technology startup migrated its applications from AWS OpenSearch to Elastic on GCP for a lower-cost and more up-to-date architecture — cutting its monthly search bill by 42.5%.
• 
  An online wholesale platform moved off OpenSearch due to lack of performance and support as well as its high costs. After moving to Elastic, the company cited 53% cost savings and excellent performance.

Why Elasticsearch is better than OpenSearch

Richer features, lower costs — available everywhere: Azure, GCP, and/or AWS.

• As a data store

• For search and AI

• For logs

• For threat hunting

A faster, smarter datastore. Elasticsearch handles more data at a lower cost.

• Ease of use

5B+ downloads and counting
Use the #1 vector database that's up to 12x faster than OpenSearch. Seamlessly combine keyword search with embeddings for fast, context-aware results.
Simple deployment management
With AutoOps, get actionable cost insights, see performance recommendations, and rapidly determine root causes.
Search anywhere with one query
Search across regions, multi-cloud, and hybrid environments with cross-cluster search. Ensure resilience with cross-cluster replication, and simplify queries using search templates — all built in.

• Faster and more powerful

Fast geospatial queries
Run complex spatial queries directly in Kibana with better performance.
Efficient time series indexing
Save up to 54.8% in storage with optimized TSDS (time series data stream) indexing.

• Cost-effective

Data tiers for smarter data management
Query data quickly on less expensive storage with searchable snapshots. Plus, with Elasticsearch, all your rules and dashboards work seamlessly with data in different tiers, without code changes.
Reduce log storage footprint and keep full access
Logsdb index mode lowers storage needs while keeping all your logs searchable.

Elastic Cloud Serverless: Scalable, secure, and effortless

Elastic Cloud Serverless is the best way to maximize feature benefits and cost savings compared to OpenSearch. Plus, run it where you want to run it — on Azure, GCP, and/or AWS.

Search AI Lake architecture

Say goodbye to the complexities of managing infrastructure. Elastic Cloud Serverless, powered by the Search AI Lake architecture, separates storage from compute and indexing from search. This new architecture ensures high performance while autoscaling indexing and search to meet your workload’s demands.

Security and control

Elastic Cloud Serverless offers robust security, including field and document-level access control, to enforce fine-grained permissions and better protect sensitive data across users and applications.

Pricing model that aligns with your use cases

Observability and Security are based on ingest and retention, with no minimum cost. Search, on the other hand, can start at just $24/month,* offering a low-cost entry point without the overhead of traditional infrastructure.
*Estimate based on dev environment with 2GB searchable data, 1% ingest utilization (15 minutes per day), 8% search utilization (2 hours per day)

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