Arcadia Data, provider of a unified visual analytics and business intelligence (BI) platform for big data, announced the release of Arcadia Enterprise, a full-scale visual analytics and BI solution that runs natively in Hadoop. Arcadia Enterprise is a modern solution that collapses the legacy enterprise data management stack for data discovery, visualization and business intelligence on big data. By delivering an industry-first distributed, self-learning architecture native to Hadoop, Arcadia Enterprise enables business analysts and users to explore net-new analytics against billions of data records, autoscaling to handle thousands of simultaneous queries with near real-time responsiveness.
Legacy BI and visualization tools were not designed for big data. They use data architectures built in the era of proprietary data warehouses, which forces IT to build redundant, costly and complex architectures that rely on moving data outside these primary data stores. This approach is slow and limits users to only samples and aggregates of the data. Business analysts and users often must wait months to get the answers to their big data queries and, even then, they don’t get the granularity of insight that they need and want.
Arcadia Enterprise frees business users to work directly with their data on Hadoop to quickly explore across parallel data sets to go several levels deeper into big data, which is not currently possible with legacy tools, or lightweight BI-with-Hadoop approaches that only sample or move data around. On the fly, it learns which of your queries are most performance critical and continuously optimizes your data — inside of Hadoop. With Arcadia, IT is able to simplify its big data infrastructure, while business users get to the insights they need quickly and easily.
For three years, we’ve been evaluating the market for a BI product with an architectural signature which can leverage the power that you have in the Hadoop cluster,” said Terry McFadden, Associate Director, Global Business Services, Procter & Gamble. “Other tools in the BI and analytics space, many predating Hadoop, require that data be pulled out of Hadoop first. Arcadia Enterprise is the first product we found that provides truly on-cluster Hadoop BI in the way we were seeking. Its execution model and user self-service approach deliver performance at Hadoop scale, and lets us develop our analytics quickly.”
In an environment where data is increasingly used to drive business decisions, businesses must break down the walls between IT and data-savvy business end-users to make big data analytics accessible to all. Arcadia makes that possible.
Overview of Key Features and Benefits
A powerful, simplified architecture
- Runs natively on Hadoop nodes, connecting business users to Hadoop.
- Leverages the scale, data and security infrastructure of your Hadoop cluster, for concurrent access across hundreds of users with near real-time response.
Explore data directly, don’t start with data marts and cubes
- Simple visual interface provides exploration and semantic modeling on breadth and depth of all your data.
- Active Data Store continuously models data based on active queries.
- Accelerates the cycle of data production and consumption, by eliminating the intermediate data stack technologies and appliances such as data warehousing, OLAP servers, and data marts.
Self-service advanced analytical insight, no coding required
- Execute on cluster and provide end-users with drag-and-drop access to granular path analysis, flow & funnel algorithms, behavior-based segmentation, and dimension/measure correlations
- Web-first data-driven applications support controlled sharing across the stakeholders, with visualizations that let business users drill deep within their authorized datasets.
Big data is becoming the heartbeat of business, but it’s often shackled by Blackberry-era BI and visualization technologies. Business users seeking new insights and intelligence from big data are left wanting, because the traditional enterprise solutions in use by IT are engineered on archaic BI platforms with limited functionality and scalability,” said Sushil Thomas, CEO at Arcadia Data. “Arcadia Data set out to break through the old stack, to give both business users and IT a new Hadoop-native approach that multiplies big data ROI and delivers new analytics at scale.”
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