What a year for CHAOSSEARCH. Last April we announced our new cutting edge platform that reimagined how analytics is delivered at scale. A big data platform, we inverted how analytics should be consumed. A solution without the proverbial issues of time, cost and complexity forever associated with big data.

Lights, Cameras, CHAOSSEARCH Yesterday, Thomas and I had the opportunity to sit down with AM and Nicki from the AWS Twitch series, Build with AM & Nicki. If you’re unfamiliar with the series, it’s definitely a must watch for all things AWS, with a high focus on the different services you can leverage to build products or applications for your business.

Information and insight gathered from data delivers tremendous value. But data isn’t helpful if you’re drowning in it! For a while, three open source projects, Elasticsearch, Logstash, and Kibana (together known as the ELK Stack), were touted as the fastest and most cost-efficient approach to managing log and event data.

Jim Barksdale, former CEO of Netscape, once said “If we have data, let’s look at data. If all we have are opinions, let’s go with mine.” While Jim may have said this in jest, the exponential boom in data collection indicates that we increasingly prefer to rely on facts rather than conjecture when making business decisions. More data yields greater insights about customer preferences and experiences, internal processes, and security vulnerabilities — just to name a few.

DevOpsDays Chicago had its first event in 2014, and 6 years later, this event is still going strong with about 500 people in attendance at the UIC Forum in downtown Chicago.

CHAOSSEARCH is building a new standard (a new category) in data analytics. Beyond the cost and complexity of Warehousing, Hadoop, or even Elasticsearch solutions. CHAOSSEARCH is a new kind of big data platform that delivers both search and analytics at a price and simplicity yet experienced. At CHAOS, we are primarily focused on transforming object storage (such as S3) into the first multi-model database, where the user provides read-only access to their S3 storage and CHAOS provides the rest.

Traditional databases suffer a problem when ingesting data. They operate on a schema-on-write approach where data indexed must have a predefined schema as you ingest your data into the database. This schema-on-write model means that you need to take time in advance to dive into your data and understand what is there, and then process your data in advance to fit the defined schema.