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The 2017 DBTA Readers' Choice Award Winners


Who makes the best relational database, what is the best NoSQL database, which company has the best Hadoop platform?  To find out, Database Trends and Applications magazine went straight to the experts.

Each year, DBTA allows subscribers to vote for the DBTA Readers’ Choice Awards. Unlike any other awards programs conducted by DBTA, this one is unique because the nominees are submitted and the winners are chosen by DBTA readers

Representative of the IT industry itself, the categories for the DBTA Readers’ Choice awards are wide-ranging and constantly evolving. As it does each year, the awards categories span newer technologies such as streaming data solutions, Hadoop distributions, NoSQL database products, and cloud services, in addition to more established segments of the market such as relational database management, MultiValue, business intelligence, data integration, and security.

Two new categories were added in 2017 – “best data visualization solution” and “best IoT solution.” In all, there were 27 categories in which to vote, providing ample opportunity for a range of products and services spanning a wide array of technologies to be recognized.

There continue to be many resources for gaining information about products and services, but we to believe that hearing about a product or service from an associate, a colleague—or a fellow DBTA reader—is also useful. The DBTA Readers’ Choice Awards is intended to support a continuing dialogue about the changing IT marketplace, and is our way of recognizing vendors that are working to improve the solutions and services available to solve today’s tough data challenges.

Here, we present the top three vote-getters in each category.

Thanks to everyone who submitted nominations and voted this year!

Best Database (Overall)
Best Relational Database 
Best Cloud Database
Best NoSQL Database
Best MultiValue Database
Best In-Memory Solution
Best Hadoop Solution
Best Database Administration Solution
Best Database Development Solution
Best Database Performance Solution
Best Database Backup Solution
Best Data Security Solution
Best Data Modeling Solution
Best Data Quality Solution
Best Data Governance Solution
Best Data Integration Solution (Overall)
Best Data Replication Solution
Best Change Data Capture Solution
Best Data Virtualization Solution
Best IoT Solution
Best Streaming Data Solution
Best Business Intelligence Solution (Overall)
Best Data Analytics Solution
Best Data Visualization Solution
Best Cloud Solution
Best Data Storage Solution
Best Big Data Platform


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Best Data Storage Solution

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Best IoT Solution

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At the core of big data lie the three Vs - volume, velocity, and variety. What's required are solutions that can extract valuable insights from new sources such as social networks email, sensors, connected devices as sensors, the web, and smartphones. Addressing the three Vs are the combined 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, or schema-less, data.

Posted August 02, 2017

Best Cloud Solution

Posted August 02, 2017

Data visualization allows enterprises to create and study the visual representation of data, empowering organizations to use a tool to "see" trends and patterns in data. A primary goal of data visualization is to communicate information clearly and efficiently via statistical graphics, plots and information graphics.

Posted August 02, 2017

Big data analytics examines large amounts of data to uncover hidden patterns, correlations, and other insights. Organizations have an increasing number of concerns today with respect to big data. There is the challenge posed by the sheer volume of information that is being created and saved every day as well as the lack of understanding about the information in data stores and how best to leverage it.

Posted August 02, 2017

Business intelligence incorporates a variety of tools that enable organizations to collect data from internal systems and external sources, prepare it for analysis, develop, and run queries against the data, and create reports, dashboards and data visualizations.

Posted August 02, 2017

Streaming data solutions can evaluate data quickly and enable predictive analytics based on sources of rapidly changing data—including social media, sensors, and financial services data, to head off future problems, machine failures, natural disasters, and take advantage of unfolding opportunities.

Posted August 02, 2017

Best Data Virtualization Solution

Posted August 02, 2017

Change data capture (CDC) is a function within database management software that makes sure data is uniform throughout a database. CDC identifies and tracks changes to source data anywhere in the database, and then applies those changes to target data in the rest of the database.

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Best Data Replication Solution

Posted August 02, 2017

Best Data Integration Solution (Overall)

Posted August 02, 2017

With more data streaming in from more sources, in more varieties, and being used more broadly than ever by more constituents, ensuring high data quality is becoming an enterprise imperative. In fact, as data is increasingly appreciated as the most valuable asset a company can have, says DBTA columnist Craig S. Mullins, data integrity is not just an important thing; it's the only thing. If the data is wrong, then there is no reason to even keep it, says Mullins.

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Best Data Modeling Solution

Posted August 02, 2017

The unending stream of bad news about data breaches shows no sign of abating, with a raft of breaches far and wide involving organizations such as health insurance companies, businesses, government agencies, and the military. The average consolidated cost of a data breach grew to $4 million in 2016, while the average cost for each lost or stolen record containing sensitive and confidential information reached $158, according to IBM's 2016 annual cost of a data breach study.

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In today's always-on economy, database downtime can inflict a mortal wound on the life of a business. That's why having a trusted backup solution that can ensure that databases can be back up and running quickly in the event of an outage is critical. Today, close to one-fourth of organizations have SLAs of four nines of availability or greater, meaning they require less than 52 minutes of downtime per year, according to a recent Unisphere Research survey.

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If data is the new oil, then getting that resource pumped out to more users faster with fewer bottlenecks is a capability that must be achieved. The issue of under-performing database systems cannot be seen as simply an IT problem. Remaining up and running, always available and functioning with lightning speed today is a business necessity.

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Geographically spread-out development teams with varied skill levels and different areas of proficiency, ever-faster software development cycles, multiple database platforms—all this translates to a challenging development environment that database development solutions providers seek to streamline.

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Best Database Administration Solution

Posted August 02, 2017

In the new world of big data and the data-driven enterprise, data has been likened to the new oil, a company's crown jewels, and the transformative effect of the advent of electricity. Whatever you liken it to, the message is clear that enterprise data is of high value. And, after more than 10 years, there is no technology more aligned with advent of big data than Hadoop.

Posted August 02, 2017

As data stores grow larger and more diverse, and greater focus is placed on competing on analytics, processing data faster is becoming a critical requirement. In-memory technology has become a relied-upon part of the data world, now available through most major database vendors. In-memory can process workloads up to 100 times faster than disk-to-memory configurations, which enables business at the speed of thought.

Posted August 02, 2017

Best MultiValue Database

Posted August 02, 2017

Addressing the need to store and manage increasingly large amounts of data that does not fit neatly in rows and columns, NoSQL databases can run on commodity hardware, support the unstructured, non-relational data flowing into organizations from the proliferation of new sources, and are available in a variety of structures that open up new types of data sources, providing ways to tap into the institutional knowledge locked in PCs and departmental silos.

Posted August 02, 2017

Best Cloud Database

Posted August 02, 2017

Coined over a decade ago, the term "polyglot persistence" has come to be seen as a shorthand phrase in the database world for using the best tool for the job, or in other words, the right database for the data storage need at hand. Today, that might mean NoSQL, NewSQL, in-memory databases, and cloud databases—also known as database as a service—approaches.

Posted August 02, 2017

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