ChaosSearch's Chaos LakeDB helps organizations make better use of their log and event data. The cloud data platform enables users to search, analyze, and visualize application telemetry data stored in Amazon S3 or Google Cloud Platform. Use cases include application observability, security analytics, product data analysis, and embedded analytics.
Our Chaos LakeDB is the first and only data lake database designed to power live Search, SQL, and Generative Artificial Intelligence (GenAI) analytics. By integrating with Amazon Web Services’ (AWS) Amazon Simple Storage Service (Amazon S3), the preferred object store for millions of AWS customers of all sizes and industries, ChaosSearch helps merge the vast storage capabilities of data lakes with the accessibility of cloud databases. Eliminating the need for complex extract, transform, load (ETL) and extract, load, transform (ELT) processes, we offer live analytics while ensuring enhanced cost efficiency and performance at scale.
INTEGRATE CHAOSSEARCH INTO YOUR STACK TODAY!
ChaosSearch is an ideal replacement for Elasticsearch (ELK stack) or Opensearch. With ChaosSearch, customers can perform scalable log analytics on AWS S3 or GCS, using familiar APIs for queries, and Kibana for log analytics and visualizations, while reducing costs and improving analytical capabilities.
ChaosSearch helps customers centralize logs to extend retention and reduce their Datadog budget in one of two ways - Use only Datadog's monitoring tools, alongside ChaosSearch for centralized log management. Or, reduce Datadog’s log retention to three days and use ChaosSearch for unlimited retention, with a cost savings of approximately 40%.
ChaosSearch reduces security and observability costs for modern enterprises, replacing Splunk for long-term analysis. Customers can keep Splunk for key security workflows and centralize all other logs in ChaosSearch – achieving 50-80% savings with unlimited, long-term data retention.
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Website | komodor.com |
Pricing URL | - |
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Website | chaossearch.io |
Pricing URL | Official CHAOSSEARCH Pricing |
Release Date | 2017-01-01 |
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CHAOSSEARCH's answer:
Equifax Armor Transeo BAI Communications Revinate
CHAOSSEARCH's answer:
Our Chaos LakeDB is the first and only data lake database designed to power live Search, SQL, and Generative Artificial Intelligence (GenAI) analytics. By integrating with Amazon Web Services’ (AWS) Amazon Simple Storage Service (Amazon S3), the preferred object store for millions of AWS customers of all sizes and industries, ChaosSearch helps merge the vast storage capabilities of data lakes with the accessibility of cloud databases. Eliminating the need for complex extract, transform, load (ETL) and extract, load, transform (ELT) processes, we offer live analytics while ensuring enhanced cost efficiency and performance at scale.
CHAOSSEARCH's answer:
Reduced Time, Cost & Complexity
Unlimited retention without rehydration needs
Unmatched Cost-Performance at Scale
Data only in cloud storage
Chaos Index® is 5-20x smaller than raw
Small data = Small compute
Stateless = Compute just for ingest & query, not store
Unified Live Search+ SQL+GenAI Analytics
Single platform across operational & business use cases
All data stored in customers' cloud storage with granular RBAC
No sharding, partitioning, schema management including of nested data
Auto-scaling & seamless upgrades
ChaosSearch is an ideal replacement for Elasticsearch (ELK stack) or Opensearch. With ChaosSearch, customers can perform scalable log analytics on AWS S3 or GCS, using familiar APIs for queries, and Kibana for log analytics and visualizations, while reducing costs and improving analytical capabilities.
ChaosSearch helps customers centralize logs to extend retention and reduce their Datadog budget in one of two ways - Use only Datadog's monitoring tools, alongside ChaosSearch for centralized log management. Or, reduce Datadog’s log retention to three days and use ChaosSearch for unlimited retention, with a cost savings of approximately 40%.
ChaosSearch reduces security and observability costs for modern enterprises, replacing Splunk for long-term analysis. Customers can keep Splunk for key security workflows and centralize all other logs in ChaosSearch – achieving 50-80% savings with unlimited, long-term data retention.
Based on our record, Komodor seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Helm Dashboard is an open-source project by Komodor that offers a visual and user-friendly way to manage and visualize all the Helm charts installed in your clusters. Instead of using the terminal, you can leverage the Helm Dashboard's intuitive UI to perform a variety of tasks that make working with Helm a breeze. Here are some of its key features:. - Source: dev.to / 7 months ago
Speaking of tools that I think I could talk an employer into buying, how about something to help with troubleshooting Kubernetes? Komodor is an observability tool that gives you insight into what’s happening with your clusters and workloads. As distributed applications have become more complex, they’ve become more difficult to troubleshoot, and Komodor gives you an integrated view of your Kubernetes resources. Not... - Source: dev.to / almost 2 years ago
Monitoring changes in the entire Kubernetes stack requires specialized skills particularly in the effective analysis of ripple effects and context-based approach in troubleshooting problems. A K8s-native troubleshooting solution like Komodor ensures that the troubleshooting process is undertaken in an independent and efficient manner. It institutes systematization to address the chaos that is usually present when... - Source: dev.to / over 2 years ago
You can find more info on https://komodor.com or DM me (full disclosure: I work for Komodor at the moment). Source: over 2 years ago
For Troubleshooting: Komodor Komodor is a troubleshooting tool that has been gaining popularity in the Kubernetes dev community. What Komodor offers is the ability to gain a full view of all changes across the entire k8s stack - and their ripple effects - to streamline the usually laborious task of understanding what went wrong, when something goes wrong. - Source: dev.to / over 2 years ago
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