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.
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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.
CHAOSSEARCH's answer
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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, Zapier seems to be more popular. It has been mentiond 12 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.
Indeed, zapier already has this [0] 0 - https://zapier.com/#:~:text=Start%20a%20workflow%20as%20fast%20as%20you%20can%20type. - Source: Hacker News / about 1 month ago
There is some overlap here into the “no-code” or “low-code” world, as sometimes the same teams will hook tools like Zapier up to the BaaS in order to integrate with third parties. For small projects this can lead to superhuman productivity! But over a certain line it can become a mess of complexity where it’s hard to track down where data lives and where it is mutated. - Source: dev.to / 3 months ago
I submitted an application for w24 that fits in the "Developer tools inspired by existing internal tools" category but wasn't accepted. I suspect my pitch probably needed work, and I also haven't started building at all yet and submitted as a solo-founder which it seems has less chance of being accepted. Here's the pitch and some details, in case anyone else is interested in the idea: > Supportal uses AI to... - Source: Hacker News / 3 months ago
Zapier.com — Connect the apps you use to automate tasks. Five zaps every 15 minutes and 100 tasks/month. - Source: dev.to / 3 months ago
Zapier is undoubtedly one of the most popular workflow automation platforms. Its user-friendly interface empowers users, even those without coding knowledge, to create automation workflows known as "Zaps." With an extensive library of integrations, Zapier enables developers to automate repetitive tasks by chaining them together, saving time and effort. - Source: dev.to / 8 months ago
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