Browse reports about the database market from leading industry analyst firms such as Gartner, Forrester and 451 Research. Learn about the latest trends in cloud environments, emerging use cases and key technical attributes for database management systems.
Forrester defines a “translytical data platform” as “a unified and integrated data platform that supports multi-workloads such as transactional, operational and analytical simultaneously in real-time…” Read this report to learn why DataStax was named a leader in Forrester’s evaluation of the translytical data platform market, and why translytical data platforms are so important for allowing today’s enterprises to deliver on their business initiatives.
Diversifying data sets, growing user bases, and ever-increasing data volumes are making data management challenging for today’s average enterprise. Read this report by Enterprise Strategy Group on the specific characteristics enterprises need to be looking for in their data management platform if they want to meet the demands of the Right-Now Economy.
This report by Ovum explains how DataStax Enterprise 6 adds essential value over open source Apache Cassandra™ via enterprise-grade capabilities and the tight integration of search, analytics, and graph for a cohesive and comprehensive solution made for the Right-Now Enterprise.
Data has unquestionably become the most valuable resource in today’s digital world, but the increasing need for real-time data has made the mere centralized collection of it a no longer viable strategy. In this report, Gartner explains why modern data management is going to be a balancing act between collection data and connecting it.
Enterprise architecture and technology innovation leaders need to know how to reap the most benefit, in terms of agility, productivity, and operations, from their cloud IaaS adoption strategies while risking vendor lock-in. This special Gartner report delves into how cloud IaaS lock typically occurs and what enterprises can do to best leverage the competing platforms of the various cloud IaaS providers.
Modern-day enterprises need flexibility and adaptability at the data layer, and this means having data autonomy. But what’s the full description of “data autonomy” and what do you need to do to achieve it? This report by Enterprise Strategy Group, a leader in global IT market intelligence, delves into the relationship between data autonomy and modern organizations’ need to become more agile, scalable, and resilient while retaining complete control of their data.
Whether it’s for instant customer analytics, fraud detection, or risk assessment, you need highly connected, actionable, real-time data. Read this Forrester report to learn why creating powerful connections with significant amounts of heterogeneous data requires a graph approach, and how the graph database vendor landscape is changing.
Companies across industries are having a tough time getting their customer experience engines running. Read this DataStax benchmark report for an overview of the issues they’re dealing with and the key technology concerns around crafting top-notch customer experience initiatives.
Real-time personalization has become the new customer experience buzzword, but very few companies are actually doing real-time personalization correctly. Read this Forrester thought leadership paper for insights on how companies are struggling to provide great customer experiences and why real-time data is so important in this endeavor.
Distributed databases have become critical for enterprises to succeed in the big data era by allowing them to overcome challenges around complex datastructures, data silos, data availability, and data growth.
DataStax has always been a major contributor to Apache Cassandra, but, while the company plans to keep contributing to the open source community, it is focusing its efforts on customers and DataStax Enterprise. Read this report to learn 451’s take on our new strategy, how it may affect the NoSQL landscape, and what it means for our customers.
The company, which is known for providing enterprise support around the open source NoSQL Cassandra database, has added graph to its lineup, driving further into multi-model territory. Graph is starting to catch on, so how will this move impact DataStax’s bottom line?