Best MultiValue Database
Posted August 04, 2014
Find out how OAUG membership helps you find answers, network with real users and expert consultants, and influence Oracle. And discover why 96% of OAUG members recommend membership.
Posted August 04, 2014
Best Analytical Platform (Overall)
Posted August 04, 2014
Database performance issues? Thousands of our Oracle customers rely on SolarWinds Database Performance Analyzer (formerly Confio Ignite for Oracle) to help them quickly pinpoint exactly where the problem lies—in just four clicks.
Posted August 04, 2014
In-memory is gaining traction within enterprise data environments and leading enterprise vendors are including it in their new releases with the goal of finally making the real-time enterprise a reality. Here are the winners of the 2014 DBTA Readers' Choice Awards for Best In-Memory Database.
Posted August 04, 2014
To succeed today, organizations need to become analytics-focused enterprises. Like the emerging category of in in-memory database technologies, columnar databases are deployed in market segments where speed of data analysis is paramount, such as financial services, retail, healthcare, and telecommunications. Here are the winners of the 2014 DBTA Readers' Choice Awards for Best Columnar Database.
Posted August 04, 2014
Best Database Appliance
Posted August 04, 2014
Best Hadoop Solution
Posted August 04, 2014
Best Database Administration Solution
Posted August 04, 2014
Database development solutions provide the necessary support to help database development teams achieve success by avoiding the risks posed by a range of potential problems—from software bugs, to geographically dispersed development teams, to varied code standards and skill sets. Here are the winners of the 2014 DBTA Readers' Choice Awards for Best Database Development Solution.
Posted August 04, 2014
Best Database Backup Solution
Posted August 04, 2014
Best Database Security Solution
Posted August 04, 2014
Effective data modeling solutions help organizations construct high quality data models, modify existing structures as well as produce detailed documentation. And today, data modeling solutions also help companies visualize and manage business data across more platforms than ever before and extend that data to users with varying job roles and skill levels across geographies and time zones. Here are the winners of the 2014 DBTA Readers' Choice Awards for Best Data Modeling Solution.
Posted August 04, 2014
Poor quality data can mean a host of problems for companies. Incorrect data can result in duplicate entries which can make it difficult for vendors to achieve a single version of the truth, increase data storage costs, impede CRM initiatives, and create data compliance and security headaches. Data quality solutions provide the necessary data integrity for critical systems including customer relationship management, master data management, and database management. Here are the winners of the 2014 DBTA Readers' Choice Awards for Best Data Quality Solution.
Posted August 04, 2014
Data governance is growing in importance along with the recognition of the game-changing potential posed by big data. As more data is amassed within organizations, effective data governance enables them to have confidence in the quality of that data for a variety of tasks as well adhere to security and privacy standards. Here are the winners of the 2014 DBTA Readers' Choice Awards for Best Data Governance Solution.
Posted August 04, 2014
Best Data Integration Solution (Overall)
Posted August 04, 2014
Best Data Replication Solution
Posted August 04, 2014
Best Change Data Capture Solution
Posted August 04, 2014
Best Data Virtualization Solution
Posted August 04, 2014
Best Cloud Integration Solution
Posted August 04, 2014
Big data represents an ocean of possible insight which has yet to be thoroughly leveraged. The goal today is to embed business intelligence more widely and more deeply into the enterprise so that insights from analytics can inform day-to-day business decisions. Here are the winners of the 2014 DBTA Readers' Choice Awards for Best Business Intelligence Solution.
Posted August 04, 2014
Best Streaming Data Solution
Posted August 04, 2014
Best Data Mining Solution
Posted August 04, 2014
The converging forces of open source, with its rapid crowd-sourced innovation, cloud, with its unlimited capacity and on-demand deployment options, and NoSQL database technologies, with their ability to handle unstructured data, are helping companies address the new challenges and opportunities presented by big data. Here are the winners of the 2014 DBTA Readers' Choice Awards for Best Big Data Solution.
Posted August 04, 2014
Query and reporting solutions are part of a comprehensive business intelligence approach, and increasingly modern query and reporting solutions provide capabilities for self-service reports so users can get answers independently, include visualizations that support better understanding of data, and enable users to easily share insights with others. Here are the winners of the 2014 DBTA Readers' Choice Awards for Best Query and Reporting Solution.
Posted August 04, 2014
Cloud improves organizations' flexibility and accessibility. Spanning services of all types, including software as a service, database as a service, infrastructure as a service, platform as a service, cloud puts a range of technologies within users' easy reach—when they need it, where they need it, with the ability to scale elastically. Here are the winners of the 2014 DBTA Readers' Choice Awards for Best Cloud Solution.
Posted August 04, 2014
With companies drowning in data, they are encountering storage problems that are impacting the performance of critical systems and applications. What's needed are smarter approaches. Today's storage solutions are coming to the rescue, enabling greater efficiency through data compression, information lifecycle management, and tiered storage strategies. Here are the winners of the 2014 DBTA Readers' Choice Awards for Best Data Storage Solution.
Posted August 04, 2014
Best Database Performance Solution
Posted August 04, 2014
Many database administrators now feel that the best way to preserve database reliability may be to take over the job of backing up their own databases. Just as end users are happier when they can do their own password resets or restore an accidentally deleted file, DBAs want greater control over their backups, restores and recoveries, and also the peace of mind of knowing that it is done to their standards. The key to making this work is integrating database applications with purpose built backup appliances (PBBAs).
Posted July 23, 2014
The industry hype would have you believe that the key word in the phrase "big data" is big, a reference to datasets so large and complex that they cannot be managed within the confines of traditional IT systems and that the many opportunities for operational improvement that come from better analysis of data and information are reserved for those in the enterprise. Understandable, but completely wrong.
Posted July 23, 2014
The Exadata Database Machine X4-8 has been designed to deliver extreme compute and data throughput for large database workloads using 8-socket database servers, intelligent storage, PCI flash cards, and unified InfiniBand connectivity. The Exadata Database Machine X4-8 expecially suited for a number of large scale enterprise scenarios, said Tim Shetler, vice president of product management, Oracle. "It is an ideal platform for hosting memory-intensive workloads such as the Oracle Database In-Memory option."
Posted July 23, 2014
Considered a landmark partnership by industry observers, the new joint effort by IBM and Apple, to bring IBM MobileFirst for iOS Solutions to market is actually just one more step in a long line of innovative and sometimes surprising initiatives from IBM, the venerable IT powerhouse. Big Blue's extensive line of businesses range from mainframes to cloud software to ground-breaking partnerships in the open source space, including its commitment to Linux and the opening of the technology surrounding its Power Architecture offerings
Posted July 23, 2014
How do you catch the next big wave - not the wave everyone's already riding, but the one on the horizon? When it comes to big data, the next big wave is in-memory technologies, which accelerate data processing for faster, more accurate decisions.
Posted July 23, 2014
Databricks and SAP have collaborated on a Databricks-certified Apache Spark distribution offering for the SAP HANA platform. This production-ready distribution offering is the first result of a new partnership between Databricks and SAP.
Posted July 23, 2014
IBM DB2 V10.1 introduced Row and Column Access Control (RCAC) as a new feature for securing data within a DB2 table. In Row and Column Access Control, permissions are defined on a table to restrict rows that are exposed. Rows being exposed means that they are available to be returned in the result set, or can be inserted, or can be updated or deleted, with the limitation of the authorities the user has on the table.
Posted July 03, 2014
The consumerization of IT, coupled with online services like social media, creates a need for flexibility and performance improvements within current data centers without the associated costs. And, as the cost of flash declines, data center managers are seeing flash as an attractive alternative to traditional hard-disk methods. By some estimates, flash memory prices have fallen at an average of 35% per year over the last few years.
Posted July 03, 2014
The business relevancy of data is the number-one most misunderstood data problem that organizations face, as well as one of the most expensive. Understanding what it means to embrace the concept of business-relevant data is the first step toward a business-ready transformation. But how do organizations get there?
Posted July 03, 2014
A good analytical model should satisfy several requirements, depending on the application area. In order to achieve business relevance, it is of key importance that the business problem to be solved is appropriately defined, qualified, and agreed upon by all parties involved at the outset of the analysis.
Posted June 17, 2014
In "Big Data at Work," Tom Davenport explains to readers why big data is important to them and their organizations, what technology they actually need to manage it, and where to start capitalizing on its potential. Here, the author shares an excerpt from his recent book.
Posted June 17, 2014
Applying automated analytics to a wide variety of IT and business metrics is rapidly becoming "the next big thing." When considering whether to give the data center the "Moneyball" treatment in 2014, there are two main architectural considerations that need to be evaluated.
Posted June 17, 2014
Big data analytics hold great promise, but the present methods of mining and managing big data are still evolving and pose serious security and privacy challenges. Confronting these challenges is essential if the potential of big data is to be fully exploited.
Posted June 17, 2014
The database market is heating up again. Recent venture funding and acquisition announcements from key Hadoop and NoSQL startups are drawing attention to the big data space.
Posted June 17, 2014
This is perhaps the most exciting era the database industry has ever seen. As they face a hypercompetitive global economy, enterprises are reinventing and disrupting themselves at an unprecedented pace—and are embracing data to do so.
Posted June 11, 2014
Enterprise data growth is coming from unstructured, social media, and machine-generated data. The resulting storage issues are impacting the performance of associated applications and systems. How and where is this data going to be stored—and how can it be made available, on demand, to users and applications that need information right away?
Posted June 11, 2014
Today, many businesses are looking for ways to rationalize their mainframe capacity in order to contain MIPS growth as well as defer costly upgrades. Unfortunately, some of these stopgap measures involve costly trade-offs, such as keeping only the most recent or even archiving critical data to tape. This can mean that valuable information goes untapped.
Posted June 11, 2014
ParStream's Database for Real-time Analytics is built from the ground up to handle substantial amounts of Fast Data. ParStream is able to provide lighting fast and interactive results on both structured and semi-structured data, allowing businesses to gain immediate insights from their data.
Posted June 02, 2014
We call ourselves an "Enterprise NoSQL database" because we have the ability to handle the volume, variety, and velocity of data, AND we have the necessary features to run at the heart of an organization. Investment banks, healthcare organizations, and major publishers all bet their business on us because we have the features they cannot live without.
Posted June 02, 2014
Appfluent's data usage analytics deliver in-depth visibility into data warehouse and business intelligence systems. Customers gain powerful insights on exactly which data is being used or not used, what users access the data and when it is used. Armed with this actionable information, organizations can map out a plan for a successful move to Hadoop.
Posted June 02, 2014
Attivio believes it shouldn't take software three years to deliver business impact. We are focused on providing our clients tangible results in 90 days. It's a complete 180 for the software industry and Big Data deployments.
Posted June 02, 2014
Bradmark Technologies is proud to currently hold the position as the #1 reseller of SAP Database and Technology products in North America. Supporting leading IT organizations worldwide that demand high availability and performance, Bradmark strives to be the "go-to", full-service provider for SAP database and technology users, offering a full set of SAP database products (ASE, IQ, Replication Server or SAP HANA), best-in-class database monitoring solutions, and consultingservices.
Posted June 02, 2014