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.
First, the docuemtnation is out of date... for node.js, anyway. This meant that I had to patch together parts of the docuemtnation to get the API to work. Then, as the articles are paginated. the API charges 50 token for each page of the query, when it should be 50 tokens for the entire query. Therefore, I'd been charged 5,000 tokens within minutes. (Note: it's $150 USD for every 10,000 tokens)
I asked for a refund, explaining the pagination issue, and was told that I made a mistake.
I've requested my money back from the credit card company and provided them the proof of faulty documentation and billing.
Based on our record, News API seems to be more popular. It has been mentiond 42 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.
Newsapi - Access headlines and articles from sources. - Source: dev.to / 21 days ago
News API: Retrieve live news articles from various sources. - Source: dev.to / 3 months ago
In this project, we utilize the API provided by News API and leverage Axios to fetch data from the API. To install Axios, run. - Source: dev.to / 3 months ago
News API — Search news on the web with code, and get JSON results. Developers get 3,000 queries free each month. - Source: dev.to / 3 months ago
We're excited to share a recent update! We've introduced a new artifact source , allowing pool operators to archive news articles from a vast network of 80,000 news sources, thanks to the News API. Source: 7 months ago
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