CLOUDCrateDB 2.0 Adds Clustering Upgrades and SQL Enhancements to...

CrateDB 2.0 Adds Clustering Upgrades and SQL Enhancements to Its Database Solution for IoT and Machine Data – Cloud Computing Today

On May 16, Crate.io announced the availability of CrateDB 2.0, an open source SQL database that specializes in IoT and machine data. The innovation of CrateDB consists in leveraging SQL to aggregate and perform real-time analytics on IoT and machine data instead of the NoSQL databases commonly used in the industry for related use cases. CrateDB’s ability to accommodate the ingestion of high velocity streams of data and to perform queries on rapidly changing datasets, with impressive levels of scalability and latency, allows developers to combine their familiarity with SQL alongside a solution specially designed for the unique needs of IoT and machine data applications. CrateDB 2.0 features clustering upgrades that deliver improved query performance by means of faster aggregations and new index structures. In addition, CrateDB 2.0 contains a bevy of SQL enhancements that give developers a greater range of options regarding joins, sub-selects and the renaming and re-indexing of tables. The Enterprise Edition of CrateDB 2.0 offers performance monitoring, enhanced security as well as the ability for end users to create user-defined functions. CrateDB 2.0’s clustering upgrades, SQL enhancements and enterprise-grade security and performance monitoring mark a new milestone in the platform’s evolution that testifies to its readiness to embrace enterprise-grade workloads that include sensor data, GPS data and the industrial internet more generally. Subsequent to news of its general availability in December 2016, Crate.io’s release of open source and enterprise-grade versions of CrateDB underscores the early traction the platform has received, with over 1.3 million downloads and 50 customers using Crate.io in production. With the IoT and machine data space gearing up for a rampant proliferation of devices and corresponding datasets in forthcoming years, expect Crate.io to continue building on its recent momentum, particularly as organizations look for scalable databases that allow organizations to leverage widely available skillsets in SQL.

The graphic below illustrates the platform’s Enterprise Edition user interface for monitoring the performance of clusters gives users real-time visibility into cluster performance with respect to the ingestion and transformation of IoT and machine data:

CrateDB 2.0 Adds Clustering Upgrades and SQL Enhancements to Its Database Solution for IoT and Machine Data – Cloud Computing Today

Latest news

How to Ensure Shopper Security on Your WordPress Site

Even though you may have a fantastic marketing system, a wonderful product, or offer incredible customer service, there is...

Next-generation secure, defined internet with SCION architecture

The internet was built in more simple, innocent times and was seized on by a curious mixture of visionaries,...

Mobile optimized website for better rankings

If you are a website owner who is looking forward to getting better rankings on search engine results, you...

Top Generative AI Use Cases in 2024

Explore Generative AI use cases across Industries  From retail to healthcare, finance to education, industries worldwide are leveraging the power...

AWS re:Invent 2023 – Day 2 Recap – Blog

Amazon Q  AWS announces Amazon Q, a new generative AI–powered assistant that is specifically designed for work and can be...

Must read

Top 10 CIO Trends for 2019

As we get ready to close out 2018 and...

Are the cloud wars over or just getting started?

One of the biggest opportunities for enterprises large and...

You might also likeRELATED
Recommended to you