Arcadia Data provides the first native visual analytics platform for big data. With native in-cluster execution, its fully-distributed architecture accelerates insights from large volumes of data in Apache Hadoop and other big data platforms without moving it, filling the gap between self-service data visualization and advanced analytics for use cases including customer intelligence, cyber security, IOT analytics, connected vehicles, and trade surveillance. Create data-centric apps and visualizations with drag-and-drop ease, with the scale, flexibility, performance, and security users need to glean meaningful and real-time business insights in the era of big data. Simple visual interface provides business-driven exploration and semantic modeling directly on ALL of your data –no need to start with extracts, cubes, and data marts to start gaining insights from big data. Native web technology built from the ground up using HTML5, extensible with custom CSS & JS means immediate collaboration across teams with no need to email extracts and report artifacts across desktops. Production-quality dashboards and customer-facing applications with Material Design-based workflow. Support for relational, real-time, and NoSQL connections and analysis in one interface. Point-and-click advanced analytics including micro-segmentation, event analytics, and dimension/measure correlations. Direct in-cluster access and distributed processing unlocks the value of big data faster, for business users, data scientists, and analysts alike – without redundant data refactoring via legacy architectures. Enterprise-grade security, workload management, source data integration, and support ensure big data in Hadoop, Spark, and the cloud is a first-class citizen in data-centric, business-critical environments. AGILITY: Explore quickly and directly APPLICATIONS: Point-and-click development, no coding required ARCHITECTURE: Powerful and simplified Smart Acceleration™ continuously models data for both semantics and visualizations, backed by self-learning algorithms that tune for heavy query patterns. Analytical Views™ bridge the gap between end users and the value of big data, enabling deep insight for hundreds to thousands of concurrent users with sub-second response time. Arcadia Visualization Engine Arcadia Analytic Platform (Smart Acceleration™) On-Premises Drag-and-drop Visual Analytics & Dashboards Hybrid Cloud … B I G D A T A O S Distributed execution data storage, metadata, security I N - C L U S T E R A N A L Y T I C S E N G I N E Scales linearly with cluster for speed and easier management Data Platform W E B - B A S E D I N T E R F A C E Drag & drop interface for visual analytics & app workflow Custom Data Applications Find Your Insights Within TM Native Visual Analytics for Big Data Arcadia Data, Inc. • 999 Baker Way Suite 120 • San Mateo CA 94404 • www.arcadiadata.com
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Arcadia Data provides the first native visual analytics platform for big data. With native in-cluster execution, its
fully-distributed architecture accelerates insights from large volumes of data in Apache Hadoop and other big data
platforms without moving it, filling the gap between self-service data visualization and advanced analytics for use
cases including customer intelligence, cyber security, IOT analytics, connected vehicles, and trade surveillance. Create
data-centric apps and visualizations with drag-and-drop ease, with the scale, flexibility, performance, and security
users need to glean meaningful and real-time business insights in the era of big data.
Simple visual interface provides business-driven exploration and semantic modeling directly on ALL of your data –no need to start with extracts, cubes, and data marts to start gaining insights from big data.
Native web technology built from the ground up using HTML5, extensible with custom CSS & JS means immediate collaboration across teams with no need to email extracts and report artifacts across desktops.
Production-quality dashboards and customer-facing applications with Material Design-based workflow.
Support for relational, real-time, and NoSQL connections and analysis in one interface.
Point-and-click advanced analytics including micro-segmentation, event analytics, and dimension/measure correlations.
Direct in-cluster access and distributed processing unlocks the value of big data faster, for business users, data scientists, and analysts alike – without redundant data refactoring via legacy architectures.
Enterprise-grade security, workload management, source data integration, and support ensure big data in Hadoop, Spark, and the cloud is a first-class citizen in data-centric, business-critical environments.
AGILITY: Explore quickly and directly APPLICATIONS: Point-and-click development, no coding required
ARCHITECTURE: Powerful and simplified
Smart Acceleration™ continuously models data for both semantics and visualizations, backed by self-learning algorithms that tune for heavy query patterns.
Analytical Views™ bridge the gap between end users and the value of big data, enabling deep insight for hundreds to thousands of concurrent users with sub-second response time.
Arcadia Visualization Engine
Arcadia Analytic Platform(Smart Acceleration™)
On-Premises
Drag-and-drop Visual Analytics & Dashboards
HybridCloud
…BIG DATA OS
Distributed executiondata storage, metadata, security
IN-CLUSTER ANALYTICS ENGINE
Scales linearly with cluster for speed and easier management
Dat
a Pl
atfo
rm
WEB-BASED INTERFACE
Drag & drop interface for visual analytics & app workflow
Custom Data Applications
Find Your Insights WithinTM
Native Visual Analytics for Big Data
A r c a d i a D a t a , I n c . • 9 9 9 B a k e r W a y S u i t e 1 2 0 • S a n M a t e o C A 9 4 4 0 4 • w w w . a r c a d i a d a t a . c o m
Get native visual analytics across billions of records via
in-cluster execution. Get built-in optimization, security, and
manageability at scale. Support hundreds of concurrent users,
all within your existing data nodes, with no data movement out
to BI servers or other repositories.
Arcadia Enterprise
Big Data Analytics for Everyone
Browse data sources, structure, and content, with full granularity and transparency
Create semantic relationships across multiple sources, and set hierarchies and logical datasets for blending visualizations across sources
Easy-to-use, familiar web-based self-service drag-n-drop authoring, to create full range of charts and graphs
Assemble dashboards and applications of visuals, workflow and interactive drill down to raw data, so you can zoom and pivot with transparent precision to any values in your datasets.
Function Benefit
Discover
Model
Visualize
Interact
No pre-built cubes or limitations on data access.
Go big. Start now.
Easily create, embed, and publish visualizations, with secure access to fine-grained data, for any user with a browser
Present complex relationships across time and sequence through easy-to-create advanced analytics that show segmentation and correlation across dimensions and metrics
Access visual analytics for CSV files, Apache Hive, Apache Impala, Apache Drill, Apache Kudu, Apache Solr,MySQL/MariaDB, PostgreSQL, and Amazon Redshift, S3, and more
Access data inside and outside Hadoop right from your web browser; no driver installation required
Simplify deployment and monitoring, with certified integration with Apache Ambari and Cloudera Manager
Achieve linear scalability to billions of records with native, in-cluster execution. Data-coherent cache enables visualization at speed, with 1000s of concurrent queries via Smart Acceleration™
Tune and speed up performance with self-learning of critical, most frequently-used queries and dimensions, automatically modeled, in-memory
Unified security with Hadoop-preferred authentication (Kerberos) and authorization methods including native integration with Apache Ranger and Apache Sentry. Role-based access control and row-level security for mature enterprise deployments
Arcadia Enterprise is licensed via an annual subscription based on the number of hardware nodes or users
Connect
Manage
Scale
Optimize
Security
Pricing
Share & Publish
Advanced Analytics
Sources
Business-driven data modeling - let business analysts make business decisions instead of DBAs.
Create stunning visual dashboards and applications. No code required.
Self-service and interactive analysis. Get deeper insights from data lakes and modern data platforms like Hadoop and the cloud.
Unlock insights and across the business.
Empower “citizen” data scientists with powerful visual analytics.
Visual analytics across relational, real-time, and NoSQL sources.
Easy access to live applications across desktop and mobile devices. Easy system administration.
Faster time to value and easy system management.
Provide data-centric applications and services to hundreds and thousands of users.
Provide interactive analytics to users, dynamically updating and tuning performance.
Provide protected access to valuable data without creating extra work. Maintain and extend existing security and access settings.
Pay as operational vs. capital expense.
AGILITY
APPLICATIONS
ARCHITECTURE
A r c a d i a D a t a , I n c . • 9 9 9 B a k e r W a y S u i t e 1 2 0 • S a n M a t e o C A 9 4 4 0 4 • w w w . a r c a d i a d a t a . c o m
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