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
Businesses today are demanding more timely access to data to drive competitive advantage. Cirro seamlessly incorporates Hadoop, SaaS, NoSQL and traditional data sources to enable self-service data exploration and analysis previously unavailable in the marketplace. All without the cost, overhead and time of traditional ETL and data virtualization approaches.
Posted June 02, 2014
One of our goals at Cisco Systems is to help our customers respond to ongoing market transitions. Three very prevalent trends occurring today are big data, cloud and the widening distribution of data sources. These trends provide IT with greater flexibility when storing and managing data. But they challenge business when accessing and analyzing data from across this distributed data landscape.
Posted June 02, 2014
Big data presents a tremendous opportunity for enterprises across industries. With Cloudera, customers can now easily handle the rapidly increasing data volume and variety they face, addressing a growing share of data and workloads from legacy infrastructure while optimizing the efficiency of those existing systems.
Posted June 02, 2014
CodeFutures is a leading provider of agile Big Data and streaming technologies. Their vision is to enable an agile approach to Big Data processing—transforming static database repositories into a flexible and dynamic data infrastructure. This approach reduces the heavyweight, rigid and limiting capabilities of accessing and using data by traditional means, opening an entire new set of opportunities for organizations.
Posted June 02, 2014
Since the introduction of mainframe application fault management solution Abend-AID in 1977, Compuware has been optimizing technology performance, as well as developer productivity, for nearly four decades.
Posted June 02, 2014
In order to build advantage, or merely stay relevant, businesses today must have an IT strategy that supports the future of big data. That strategy must include NoSQL. Couchbase provides the world's most complete, most scalable and best performing NoSQL database: Couchbase Server.
Posted June 02, 2014
With the enormous volume of data being collected now, database management is becoming more critical for every enterprise. With more than 350 DBAs we deliver 24x7 so you don't have to on your own. Datavail's delivery model—the most proven in the industry—allows you to use as much or as little as you need to meet your objectives.
Posted June 02, 2014
DBI's secret sauce is patented technology combined with a bullet-proof methodology that delivers real, positively impactful, measurable ROI within days. DBI's PureFeat Performance Management Suite for DB2 LUW brings performance inefficiencies, issues, and solutions to light that other tools and scripts don't find, usually within five mouse clicks!
Posted June 02, 2014
Delphix is the market leader in Agile Data, which helps industry-leading companies, including Facebook, eBay, Walmart, and Comcast, deliver critical application projects on time and on quality. In the last year, the company released a new product designed to help customers overcome the challenges of data center modernization - the Delphix Modernization Engine.
Posted June 02, 2014
With Denodo, business strategists, CIOs and other IT experts can plan the implementation of a shared data layer across the enterprise, expose a common data model and a unified interface over a multiplicity of diverse data sources that can feed and support an increasing number of business applications, from BI and analytics to portals, operational applications and web and mobile apps.Big corporations in almost all verticals worldwide are using our technology today.
Posted June 02, 2014
Embarcadero Technologies provides industry-leading database architecture and management tools to enable our customers to build and manage some of the largest and most complex data models on the planet. With big data continuing to grow exponentially, Embarcadero customers have mastered management of the world's largest relational databases, and some have now begun to embrace innovative data management technologies.
Posted June 02, 2014
EMC is the Leader in Helping Oracle Customers Redefine IT. With cloud-enabled infrastructure EMC helps Oracle customers consolidate databases and standardize IT infrastructure, while maximizing quality of service for Oracle database environments.
Posted June 02, 2014
In the field of unstructured data, Empolis Smart Information Management is taking on a new pivotal role as a crossover technology. It facilitates the high-quality analysis of large quantities of unstructured data and the intelligent processing of information in a way that is easy on resources while also making the information useful for relevant business processes.
Posted June 02, 2014
This constant influx of machine-generated data and the increasing complexity of queries, particularly ad hoc queries, requires companies to rethink their infrastructure for data capture, storage and analysis. Infobright delivers a high performance analytic database platform that serves as a key underlying infrastructure for big data analytics and The Internet of Things.
Posted June 02, 2014
Since 1978, InterSystems has been developing database, analytics and integration technologies that work across disparate systems to deliver insight. InterSystems has the advanced technology to ingest large data volumes, regardless of data model, and to enable ad-hoc SQL queries across any of the Big Data paradigms as if they were one database—with scalable performance.
Posted June 02, 2014
Competition is vital to an economy as it ensures the highest quality products and services at the lowest possible prices. While this is good for consumers, it puts pressure on businesses to continue to be innovative and efficient. For the past 15 years, Kore Technologies has helped its clients become better competitors in the market.
Posted June 02, 2014
MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified big data platform.
Posted June 02, 2014
Nearly 30 years ago, Melissa Data recognized that contact data management was a driving force behind business success. Our goal was clear—a commitment to data quality solutions to improve organizations' overall business operations around the world through data verification and enrichment.
Posted June 02, 2014
In the late 90's, I recognized that the Internet made it possible for a company to provide high quality DBA services to anyone in the world from Boston in a safe and secure manner. Ntirety, a pioneer of Remote DBA Services (RDBA), is the direct result of that recognition.
Posted June 02, 2014
With the advent of a Durable Distributed Cache architecture, like NuoDB, it is now possible to build global systems with SQL transactional semantics, ondemand capacity and the ability to run web-scale applications without missing a beat. This architecture also enables elastic scalability, resilience to failure and geo-distribution.
Posted June 02, 2014
Objectivity Inc.'s embedded database software helps you discover and unlock the hidden value in your Big Data for improved real-time intelligence and decision support. Unlike other solutions, Objectivity focuses on storing, managing and searching the connection details between data.
Posted June 02, 2014
Today's application development projects are driven by data integration, big data, mobility and data analytics challenges, and most businesses do not have the time or resources to manage each of these separately. Using Progress technology, you can manage all of these components from one single platform, making application development, deployment and management quick and simple.
Posted June 02, 2014
The #1 Big Data Platform in the Cloud, founded by the creators of Apache Hive and former managers of Facebook's big data infrastructure team.
Posted June 02, 2014