NuoDB, the distributed SQL database company, unveiled NuoDB 4.0, featuring expanded cloud-native and cloud-agnostic capabilities with support for Kubernetes Operators and Google Cloud and Azure public clouds. This includes the recently announced Kubernetes Operator to simplify and automate database deployments in Red Hat OpenShift.
NuoDB 4.0 Expands Cloud-native and Cloud-agnostic Capabilities of Distributed SQL Database
YugaByte Commits to 100 Percent Open Source with Apache 2.0 License
YugaByte, a leader in open source distributed SQL databases, announced that YugaByte DB is now 100 percent open source under the Apache 2.0 license, bringing previously commercial features into the open source core. The move, in addition to other updates available now through YugaByte DB 1.3, allows users to more openly collaborate across what is now the world’s most powerful open source distributed SQL database.
Sigma Announces Visual Data Modeling, SQL Runner and One-click Snowflake Integration
Sigma, an innovator in cloud business intelligence (BI) and analytics, announced its forthcoming release of a visual data modeling capability, SQL Runner, and one-click Snowflake integration, allowing anyone to explore data in cloud warehouses and generate insights in minutes.
What Makes GPUs, GPU Databases Ideal for BI?
What makes GPU databases ideal for BI? That’s what a new white paper from SQream DB wants to explain — incorporating real-world use cases to explain how you can turn your existing BI pipeline into “a more capable, next-generation big data analytics system.” Download the new report, courtesy of SQream DB, to learn more about how GPUs and GPU databases can help you organize and benefit from your next big data analytics system.
Rockset Reimagines Data-Driven Applications in the Cloud
Rockset, the serverless search and analytics company, formally launched and unveiled a cloud service that runs SQL directly on raw data. Rockset offers developers and data scientists the shortest path from data to applications. The company was founded by engineers who built the online data and search infrastructure that supported Facebook’s growth from 40 million to 1.5 billion users.
Cluvio Announces New Pricing Including a Completely Free Cloud Analytics Plan
Cluvio, the first cloud analytics SaaS platform to offer combined power of SQL and R for data science and visualization, announced the launch of new pricing options, including Cluvio Free and Cluvio Starter plans, to simplify the entry into the data-driven era for Small and Medium Enterprises.
3 Reasons In-Cluster Analytics is a Big Deal
In this special technology white paper, 3 Reasons In-Cluster Analytics is a Big Deal, you’ll learn about how recent technology advances within the Apache Hadoop ecosystem have provided a big boost to Hadoop’s viability as an analytics environment—above and beyond just being a good place to store data.
SQL Engine Leads the Heard
In almost every organization, SQL is at the heart of enterprise data used in transactional systems, data warehouses, columnar databases and analytics platforms to name just a few examples. Additionally, a vast number of commercial and in-house developed tools used to access, manipulate and visualize data rely on SQL. SQL is lifeblood of the modern transaction and decision support systems.
Presto: Open Source for the Enterprise
Presto addresses a real need for a portable SQL on Hadoop tool. It is architected from the ground up for high performance interactive query processing. Open source is a fount of continual innovation, especially with regard to big data. In addition, there are strong tools that come with specific Hadoop distributions. The fact is that organizations will deploy multiple tools. For organizations moving toward a Unified Data Architecture, the rationale for adopting Presto is even stronger.
Splice Machine: SQL on Hadoop® Evaluation Guide
Hadoop: Moving Beyond the Big Data Hype – let’s face it. There is a lot of hype surrounding Big Data and Hadoop, the de facto Big Data technology platform. Download this guide to learn more.