Elasticsearch Replacement for Log Analytics at Scale

Reduce TCO by up to 80%
 

Analyze data in place with unlimited data retention and up to 80% cost savings

Eliminate management complexity

Eliminate the need to add, deploy, and manage hardware and software

Deliver performance and stability at scale

Achieve 99.99% availability and dynamically scale system resources to meet demand

Compare the True Cost of Elasticsearch to ChaosSearch

Try our interactive cost calculator to see your potential savings

Data Retention

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Ingestion Rate

Terabytes Per Day Tooltip

Overhead

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AWS Elasticsearch Service

 

Per Month

Elasticsearch cluster configuration outside the optimal range

Requirements outside AWS Elasticsearch service limits

Self-Hosted Elasticsearch on AWS

 

Per Month

Elasticsearch cluster configuration outside the optimal range

Requirements outside AWS Elasticsearch service limits

ChaosSearch

 

Per Month

Gain a Complete View of Your ELK Stack Costs

Are open-source data solutions, like the ELK Stack, really as simple and cost-effective as they are purported to be?

ELK Stack TCO Promotional Thumbnail Play
80 Percent Cost Savings

Game-Changing Price/Performance

A true TCO of your ELK stack must include the cost of administration and maintenance as well as difficult trade-offs for data retention. The unique ChasoSearch architecture and technologies consume far fewer resources than a comparable ELK stack - providing cost savings of up to 80%.

Gain a Complete View of ELK Stack Costs »

Management Simplicity

Even Amazon and Elastic’s managed services offerings require internal FTEs to size infrastructure and manage unforeseen usage spikes that cause downtime. ChaosSearch’s fully managed service decouples storage and compute for independent, elastic scaling. You won’t need to dedicate FTEs to manage infrastructure or build complex data pipelines and schemas for every analytics use case.

The Business Case to Replace Your ELK Stack »

ChaosSearch Data Platform
Analyze Data in Place

Analyze Data in Place

With an ELK stack, you need to push data and transform in Logstash or Fluentd. Subsequent changes require time consuming reindexing and re-mapping. With ChaosSearch, there is no data movement, transformation, or schema management. The Chaos Refinery® cleans, prepares, and virtually transforms data directly in your Amazon S3.

Use the Tools You Know

ChaosSearch replaces Elasticsearch and features a built-in Kibana interface to ensure the same experience. Built on a scalable and flexible architecture, you can easily integrate with the popular APIs and tools you know and love to deliver a branded data service to your customers.

Use the Tools You Know
ChaosSearch is one of the few products that simultaneously delivers real cost savings with real increases in productivity.
Jason Standiford VP of Engineering Revinate-logo-white

Revinate Case Study

With their data growing daily, the cost of the Revinate’s ELK stack was rising while becoming increasingly unstable. With ChaosSearch, the outages of their old ELK Stack are gone. Internal customers in engineering and the business now have a reliable platform to search through and visualize business events.

Read the Case Study »

Revinate Case Study

Read the New Eckerson Group Whitepaper: "Log Analytics for CloudOps"

Want to dig deeper?

While retention, ingestion and overhead are all basic inputs for a cost estimation, properly sizing an Elasticsearch cluster involves other parameters that can dramatically influence the total cost, especially when dealing with large clusters.

To get a personalized cost projection based on your current technical and business requirements, schedule a 30-min session with one of our experts to walk you through our full Elasticsearch cost calculator, and get a complete breakdown.

Schedule Now!