ChaosSearch

Boston, MA, USA
2017
May 19, 2022   |  By Dave Armlin
As public cloud and multi-cloud adoption skyrockets, many organizations are looking to implement compatible services. These services increase the utility of cloud infrastructure by tapping into the underlying building blocks (otherwise known as primitives) of the cloud. That’s where the idea of a “supercloud” comes into play.
May 17, 2022   |  By Courtney Pallotta
How do you cultivate a focused team, motivated to build something that people will derive value from? A data leader is able to gauge team engagement, knows how to evaluate tech, and recognizes the influence of consumer analytics on innovation. Recently on Data Legends, we spoke with Raheem Daya, Sr.
May 12, 2022   |  By Sandro Lima
As an engaged member of the AWS community, we’re always on the lookout for new technologies and software tools that can help our customers succeed in their AWS data lake initiatives. During the most recent AWS Re:Invent conference in Las Vegas, we had the opportunity to engage directly with AWS partners, customers, and other technology companies operating in the AWS ecosystem.
May 3, 2022   |  By Courtney Pallotta
What are the top three mega-trends for data leaders this year (and beyond)? In this episode, we tackle cloud data platforms, the five sub-disciplines of observability, and real-time machine learning. During our conversation with Kevin Petrie, Vice President of Research at Eckerson Group, we’ll tackle: Ready to learn more about managing the modern-day mountains of data at our fingertips? Let’s dive in.
Apr 28, 2022   |  By Thomas Hazel
Ever since there was a need to both store and access information, there has been both physical and logical means to achieve it. Everything from stone tablets to paper, to a prolifera of technology in the digital age. As information became easier to create, databases were built to give it structure to simplify its access, accompanied by characteristics to improve performance and scale.
Apr 19, 2022   |  By Karina Babcock
When providing the data to support marketing, it's important to frame and validate its quality based on whether it meets "the six C’s." In our conversation with Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai, we discuss questions many in the industry are asking today.
Apr 14, 2022   |  By Kevin Petrie
The cloud data platform combines data warehouse and data lake capabilities to support the exploding world of analytics. Like a data warehouse, the cloud data platform structures, transforms, and queries data. Like a data lake, it classifies multi-structured data objects in an elastic object store. The cloud data platform provides an ideal launchpad for modern business intelligence (BI) projects that need fast, flexible access to lots of varied data.
Apr 7, 2022   |  By Sandro Lima
Welcome to the second installment of our ChaosSearch for FinTech blog series, where we explore how financial technology (FinTech) companies can solve analytics challenges and drive business outcomes with ChaosSearch. In Part One of this series, we brought you an in-depth look at how FinTech companies could accelerate application development and streamline operations in the cloud by adopting ChaosSearch for log analytics at scale.
Apr 5, 2022   |  By Karina Babcock
A universal human problem that we don’t often address is that historically, knowledge has been relatively siloed by language. But with advancements in AI, there are new opportunities to capture broader and deeper insights across the written and spoken word by breaking down global language and distance barriers.
Mar 24, 2022   |  By Courtney Pallotta
Last week, Gartner released their 2022 Gartner Market Guide for Analytics Query Accelerators (AQAs), which names ChaosSearch as a Representative Vendor. In this week’s blog, we share perspectives from both Gartner and ChaosSearch on the emerging AQA category that focuses on accelerating data lakes’ time to value. You’ll learn what AQAs are, their role in the enterprise tech stack, and how ChaosSearch differentiates itself from others in the segment.
May 10, 2022   |  By ChaosSearch
How do you keep your data team focused and build something that people will derive value from? In this episode, we cover team engagement, how to evaluate tech, and the influence of consumer analytics on innovation. Listen to our conversation with Raheem Daya, Sr. Software Development Manager, Envision Engineering at Amazon Web Services: How to set a clear vision and keep your data team engaged How to decide what tech to invest in and build How consumer tech is democratizing data
Apr 29, 2022   |  By ChaosSearch
What are the top three mega trends for data leaders this year (and beyond)? In this episode, we tackle cloud data platforms, the five sub disciplines of observability, and real-time machine learning. Listen to our conversation with Kevin Petrie, Vice President of Research at Eckerson Group. Hear the Answers to these Questions: Why a cloud data platform is a common destination with many routes? Which tools to standardize the different classes of observability? How the interrelationship between model observability and ML works?
Apr 29, 2022   |  By ChaosSearch
Jimmy McDermott, Founder and CTO of Transeo, talks about use cases and expected value they will get from SQL analytics and search on the same, unified data set with the ChaosSearch Data Lake Platform.
Apr 28, 2022   |  By ChaosSearch
When it comes to building new products, there’s a fine line between which pieces of the puzzle should be owned by humans with deep domain knowledge, and which aspects can or should be automated through AI. How far can the boundary be pushed? We speak with Jeremy Foran, Chief Technology Officer at Purple Cow Internet, about his new role as CTO at a fast-growing internet service provider.
Apr 28, 2022   |  By ChaosSearch
Historically, knowledge has been relatively siloed by language. But with advancements in AI, there are now more opportunities than ever to capture broader and deeper insights across the written and spoken word by breaking down language and distance barriers globally. Listen to our conversation with Amr Awadallah, Founder and CEO at ZIR AI and former technology exec at Cloudera, Google, and Yahoo.
Apr 28, 2022   |  By ChaosSearch
When providing the data to support marketing, it's important to frame and validate its quality based on whether it meets "the six C’s." Is the data clean, complete, correct, comprehensive, chosen well, and calculable? In our conversation with Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai, we discuss numerous questions many in the industry are asking today.
Jan 24, 2022   |  By ChaosSearch
ChaosSearch helps modern organizations Know Better™ by activating the data lake for analytics. The ChaosSearch Data Lake Platform indexes customers’ cloud data, rendering it fully searchable and enabling analytics at scale with massive reductions of time, cost and complexity. ChaosSearch was purpose-built for cost-effective, highly scalable analytics encompassing full text search, SQL and machine learning capabilities in one unified offering. The patented ChaosSearch technology instantly transforms your cloud object storage (Amazon S3, Google Cloud Storage) into a hot, analytical data lake.
Dec 16, 2021   |  By ChaosSearch
Mark Hill, Director of IT Operations at Digital River joins SiliconANGLE's Dave Vellante for a discussion around their modern, cloud-native approach to analytics at scale, including their strategic partnerships with both AWS and ChaosSearch.
Nov 16, 2021   |  By ChaosSearch
Transeo is a mobile-friendly platform enabling students, counselors, and administrators to share community service opportunities and hours served — online and in real-time. With one goal in mind, eliminate time-consuming administrative overhead and shift the focus from paperwork to people, Transeo turned to ChaosSearch to help them bring order to the massive quantity of disparate, log data output.
Sep 1, 2021   |  By ChaosSearch
Do you know how much your ELK stack costs? Managing and analyzing your data is a critical part of your business. However, the true cost of an ELK stack can be hard to calculate, and the truth is you may be spending a lot more than you think. Elasticsearch wasn't designed to work efficienctly at the scale required by today's data volume, especially the growth of log data. As your data grows, your ELK stack becomes more expensive to scale and maintain, leaving you with the headache and the tab. Well, ChaosSearch has the answer.
Feb 20, 2020   |  By ChaosSearch
How to make refining data as affordable as generating it.
Feb 20, 2020   |  By ChaosSearch
CHAOSSEARCH is a fully managed Log Analysis SaaS solution built on our innovative architecture and revolutionary, patent-pending index technology. Our solution delivers log analysis at cloud-scale and eliminates data movement - the first SaaS solution to provide infinite data storage by accessing your data in your Amazon S3.

ChaosSearch makes it simple for organizations to run cloud-scale log analytics in their own Amazon S3 cloud storage. It uniquely transforms your cheap, secure, and durable cloud object storage into a distributed analytic data lake where scale is infinite, cost is disruptive, and access is universal.

Traditional log analytics weren’t designed for today’s tsunamis of log data. They require brute force (adding more and more compute) to search and analyze huge stores of logs. This means businesses must continually choose between spending more money or reducing data retention.

ChaosSearch’s SaaS data platform was built for a data-entrenched world. It’s based on the company’s patent-pending index technology and architecture that remove the limits, cost, and complexity inherent in conventional solutions.

  • Performance at Scale: Easily scales to petabytes and beyond so you can analyze what you need, whenever you need.
  • Fully Managed Service: There’s no software or hardware for you to deploy, configure or maintain.
  • All on Your Amazon S3: ChaosSearch stores and analyzes data directly in your own Amazon S3 cloud object storage. It does not hold or store any data.
  • Disruptive Pricing: Costs up to 80% less than other solutions, thanks to Chaos Index’s unique properties that eliminate the need to manually shard data and enable unparalleled compression ratios.