ScaleArc, a leading provider of database load balancing software, announced that it has integrated its ScaleArc for SQL Server software with Microsoft Azure SQL Database. Customers of Microsoft Azure Cloud Database-as-a-Service (DBaaS) software can now benefit from the seamless scale out, faster application performance, and high availability features of the ScaleArc software.
2017 Data Connectivity Outlook
September 13, 2017 by
Our friends over at Progress revealed some new findings from their 2017 Data Connectivity Outlook global survey. In the 4th annual survey based on responses from 1,200 business and IT professionals around the world, the results validate the explosive growth seen in SaaS data sources and the common challenges faced when trying to connect to data in a hybrid environment.
2017 Data Connectivity Outlook
September 11, 2017 by Leave a Comment
Progress presents the results of its 4th annual Data Connectivity Outlook, based on 1,200 survey responses. Respondents included business and IT professionals in various roles, representing a range of industries and organization sizes across the globe.
‘Learning Database’ Speeds Queries from Hours to Seconds
September 11, 2017 by
University of Michigan researchers developed software called Verdict that enables existing databases to learn from each query a user submits, finding accurate answers without trawling through the same data again and again. Verdict allows databases to deliver answers more than 200 times faster while maintaining 99 percent accuracy. In a research environment, that could mean getting answers in seconds instead of hours or days.
VoltDB Unveils Real-time Predictive Fraud Detection & Prevention
September 1, 2017 by
VoltDB, the enterprise-class database that powers mission-critical applications, introduced the industry’s first database to enable real-time predictive fraud detection and prevention. With User Defined Function (UDF) support for SQL, VoltDB v7.6 enables enterprises to accelerate the identification and prevention of fraud before a transaction is complete, drastically reducing risk and enhancing the customer’s overall brand experience.
Endpoint Systems Updates its Figaro DB XML Engine
July 28, 2017 by
Endpoint Systems, a system integrator and developer of endpoint software solutions, announced it has released the latest update to Figaro, its embedded native XML database for the Microsoft .NET Framework. Figaro 6.1.4 builds on top of Oracle Berkeley DB XML 6.1.4, with database engine upgrades and several bug fixes.
ArangoDB 3.2 Improves Scalability, Security and High Availability
July 26, 2017 by
ArangoDB, the makers of the leading native multi-model database, announced that version 3.2 is Generally Available. This latest release expands ArangoDB to new use cases by being the most scalable, distributed multi-model and graph database.
StackShare Database Index
July 15, 2017 by
Our friends over at StackShare recently reached out to insideAI News to provide their latest Database Index. To compile the StackShare Database Index, StackShare — one of the world’s largest developer communities, with 100,000+ CTOs and developers at companies like Spotify, Airbnb, Instacart, and Dropbox sharing and discussing their tech stacks — conducted original research on which databases are most widely used right now, and which are most in-demand by recruiters.
Kinetica Brings GPU Acceleration with SQL to Tableau
June 11, 2017 by
Kinetica, provider of the high-performing GPU-accelerated database, announced the availability of native integration with Tableau allowing users to simultaneously ingest, explore, analyze, and visualize data within milliseconds to make critical decisions and find efficiencies, lower cost, generate new revenue, and improve customer experience.
Couchbase Introduces New Era of Customer Experience with New Engagement Database
June 5, 2017 by
Couchbase, Inc. unveiled a newt Engagement Database, a new category of database that enables enterprises to continually create and reinvent the customer experience. Unlike traditional databases, the Engagement Database taps into dynamic data, at any scale and across any channel or device, to liberate data’s full potential at a time when the strategic use of data to create exceptional customer experiences has become a key competitive differentiator for businesses.
