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When organizations need to optimize their business processes and improve operations and decisions, the often speak of having the right information at the right time, but don’t always make that a priority. This information optimization is often thought to be expensive and time-consuming, especially with advent of big data and disparate data sources across cloud and on-premises environments, as I have articulated. Datawatch can help business get to information of any variety or volume at any time through its access and integration tools. When I published my last analysis of Datawatch, it had made significant advancements in its platform, with enterprise-class reliability and support for business analytics through its data discovery and virtualization processes. Over the last year Datawatch continued to grow its business worldwide, and through investments into its marketing, sales and product efforts is finding more potential from existing and new customers. The company’s energized product efforts earned it our 2012 Technology Innovation Award for Information Applications for its Information Optimization Suite.
Datawatch has simplified its product portfolio over the last year, focusing on how organizations transform, distribute and optimize information. Its Monarch Professional, Data Pump and Enterprise Server products respectively support these common functions. It has expanded its support for big data to ensure that no matter where information exists, it can be optimized for use across business and IT. In its 11.6 release Datawatch added support for Hadoop and Hive through its Data Pump product. It also works with commercialized Hadoop providers such as MapR, which provides enterprise-scale deployments. Datawatch supports other types of big data technologies, including RDBMS, appliances and systems, which a third of organizations in our big data research are planning to adopt.
Datawatch brings information into business processes through support for a range of environments. For instance, in cloud computing, it partners with Amazon Web Services, a rapidly growing Infrastructure as a Service (IaaS) provider, for a range of applications and tools. Our research finds that business has led the way to cloud computing. Datawatch can operate safely and securely across these environments with little impact to IT.
Datawatch continues to advance in many small but critical capabilities, such as document approval and state management. It optimizes information processing through prefetching data needed by the operating environment. It has added visual presentation methods to its product, including traffic lights and thermometer gauges, and lets users drill down to any level of detail. It now provides Section 508 compliance for supporting the disabled, for which it has created a template that can be adapted to an organization’s specific needs. Datawatch products are used for a wide range of governance and compliance needs. Our research finds that the cost of compliance is rising faster in the last three years, according to 53 percent of organizations in heavily regulated industries.
Datawatch now provides more power to analysts and individuals who need to facilitate information optimization through the Monarch Power Client, a visual environment that was part of the Monarch Professional 11.5 release. This product helps address assembling information into a view, a process that almost half (47%) of organizations in our information applications research found challenging. Monarch Context for Excel helps address the issues in using personal productivity tools with support for secured embedding of information inside spreadsheets and for data lineage. Data is always more valuable when it is a click away, rather than accessible only upon request from a separate analyst.
To support specific needs of IT, Datawatch supports machine data that is generated by applications and systems, which, if shaped in the right format, can help optimize not only IT systems and resources but also business processes. Datawatch can take data in log files and database and combine it with information in reports, documents and HTML pages. Datawatch recently announced it can utilize machine data from Microsoft Windows.
Datawatch has grown through partnerships with software providers such as Qlikview, helping them get access to semistructured data, and solution providers such as Asta Systems. Resellers use Datawatch as a new business enabler to empower the optimized use of information across an enterprise. For global deployments, Datawatch supports languages like Japanese and Chinese and unique character sets. Support for and focus on partners is a critical investment for Datawatch as it seeks to grow globally. I would like to see Datawatch provide a version of its product for free trial on its website, operating either in the cloud or on the desktop.
Datawatch makes information optimization more readily available at an affordable price. Its software’s ability to access content and semistructured information and blend it with structured data is what organizations require to optimize business processes and make more informed actions and decisions. Our research into business technology innovation finds the needs to improve and drive better quality in processes are important to more than half of organizations. We are busy researching information optimization to see how the best practices and efforts of organizations are changing how technologies are used for business.
Datawatch finds itself at the intersection of information needs for an enterprise. I would like to see more support from the company for mobile technology, and simpler methods to flip through information assets and even collaborate on them, but with its current focus on its foundation and enterprise-class requirements, those features represent potential for providing more value by harvesting its investments in big data and cloud computing. Organizations should examine Datawatch to see how it can help them leverage investments to access and integrate information and meet business needs while meeting IT requirements for security and policy compliance. Its progressive software earned Datawatch our 2012 Ventana Research Leadership Award for Information Applications for its deployment at Piedmont Henry Hospital. If you are looking to get information from any source to any form for any business need, see how Datawatch meets the requirements of the next generation of information optimization.
CEO & Chief Research Officer
At the recent Teradata’s annual Partners user conference, the company outlined its expanding role as a provider distributed information architecture technology. My colleague Tony Cosentino assessed Teradata’s business analytics and big data strategy, but there is more under the covers in regards to the company’s expanding role for big data and enterprise architectures. Over the last several decades Teradata has been known for providing enterprise data warehouse appliances, such as its unveiling of its new Teradata 2700 data warehouse appliance, which uses the latest multicore Intel processors. Now, as organizations continue to invest in distributed approaches in which they store and utilize data on a range of appliances and through Hadoop-based big data technology, Teradata has begun to provide integration with Hadoop, including a direct connector to it and commercialized versions of it in partnership with Cloudera and Hortonworks. Earlier this year, for instance, Teradata formed a partnership with Hortonworks that provides a commercialized edition of the open source Hadoop that now is further integrated.
Teradata is expanding its big data portfolio in two significant areas to which IT organizations should pay close attention. The first area of expansion is its evolving line of analytic and data appliances. This expansion accelerated over the last couple of years thanks to Teradata’s acquisition of Aster Data, which provided Teradata an anchor point for accessing data across the enterprise, as I recently assessed. Aster Data provides a unified approach to accessing Hadoop data from analytics or business intelligence tools through SQL-H and via the Apache HCatalog metadata catalog using patented SQL-to-MapReduce technology. The first fruits of this technology integration, the Teradata Aster Big Analytics Appliance, was announced this month. It provides high levels of processing power for a range of analytic applications that need access to unstructured data using Hortonworks which is embedded and integrated in the appliance. This technology integration is unique in its potential value for organizations that utilize big data across the enterprise, which is why we recently awarded it our 2012 Technology Innovation Award for Big Data.
The second area of expansion is Teradata’s portfolio of data management software, which advances the support for a unified data environment that helps manage the enterprise architecture for big data and support the information management needs of an organization. Teradata’s new set of data management tools, Teradata Unity, supports a range of synchronization, data loading, monitoring and data-moving operations. These tools are critical to ensuring access and integration of data across the enterprise and meeting the performance and scalability needs of analytic architectures. I personally like the simplicity of Teradata Viewpoint, which provides an integrated management console to look at the performance and scalability levels of the company’s data appliances. These new management tools address one of the largest impediments to taking advantage of big data according to our big data research, which is the staffing and training required to support implementations. Teradata also has advanced in the science of time-series analytics with Teradata Temporal, which helps capture changes over time. These tools will help with the administration of data environments.
Teradata also has a vibrant ecosystem of analytic and business intelligence technology that interoperates with its portfolio of data technologies. Dozens of partners were at
the conference exhibiting their integration with and access to Teradata. Some technology vendor announcements that demonstrate integration to Teradata are worth mentioning. Alteryx announced an update to its version 8 to further support Teradata and Aster in the highest performance manner. QlikView announced its forthcoming access to Teradata with QlikView Version 11 advancements. SAS’ integration and work with Teradata continues to bring advanced analytics to Teradata environments. The company highlighted individuals taking advantage of the technologies, who it calls Analytic Heroes.
The key point for IT organizations is Teradata’s focus on big data, for which Teradata has embedded, integrated and expanded the value of Hadoop within its architecture and globally supports it in a 24×7 operation. I continued to see its overall success, as we noted in our recent 2012 Leadership Awards, where we highlighted contributions by organizations using Teradata, including HMS, Nationwide, RBC and the United States Department of Agriculture. Teradata’s role as part of enterprise architecture has become more open than ever, and in many ways more open than that of Oracle, which pushes its Exadata and Exalytics integrated vertical appliances and the Oracle-only approach for IT that my colleague recently assessed. While many other vendors are announcing new big data technology, Teradata has been providing this support and appliances successfully for decades. Our research shows that retaining and analyzing more data is the top benefit organizations gain from big data. To that end, Teradata is offering new hardware and software approaches. Organizations looking at big data technology approaches should take note that the company’s approach is open and can integrate with existing enterprise architectures and investments to meet the business and IT needs today and into the future.
CEO & Chief Research Officer