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Arcadia Enterprise

Solutions Gallery > Arcadia Enterprise

How Arcadia Data works

Arcadia Data runs visual analytics natively in-cluster, accelerating insights from Apache Hadoop and other big data platforms without moving data, bridging the gap between self-service data visualization and advanced analytics.

Put your analytics where your data is

Get deeper insights from modern data platforms with the simplicity and power of direct in-cluster distributed processing – without moving data. Administration and system costs are much lower because Arcadia runs on existing hardware nodes or cloud instances and inherits native security privileges and administration in Apache Hadoop and cloud platforms.

Build visuals, dashboards, and apps with point-and-click ease

Use Arcadia’s web-based visual designer to easily create dashboards and applications with no coding required. Choose from a library of 25+ visual types which include advanced analytics for micro-segmentation, time-series, and correlation analyses. Connect directly to a wide variety relational, real-time, and NoSQL data stores including Apache Hadoop (HDFS), Amazon S3, Apache Spark, Apache Kudu, Apache Solr, MapR-FS, and more. You can also extend visuals from D3 and other libraries

Deploy to 100s or 1000s of users internally or externally

User concurrency on big data platforms is a barrier to widespread adoption. Arcadia Smart Acceleration™ lets you break through that barrier and support hundreds to thousands of concurrent users with sub-second response time. by continuously monitoring and routing queries to optimized Analytical Views, derived from data access and usage heuristics and recommendations.

Key highlights

Category
Improve Product & Service Efficiency

About Arcadia Data
Arcadia Data offers Arcadia Enterprise - is the first converged Visual Analytics and BI platform for Big Data native to Hadoop. Unlike traditional BI approaches that rely on a complex stack of legacy data management technologies that need to extract data out of Hadoop, Arcadia Data does it all, running directly on Hadoop clusters. It lets enterprises put Hadoop-scale data to use through easy-to-build secure, web-based visual apps that you can build with drag-and-drop ease -- scaling to hundreds of billions of records.

 

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