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What is MapLarge?

Effortlessly delve into and visualize your business data with a user-friendly interface that facilitates smooth interactions. Within moments, you can create, refine, and share impressive maps of your data thanks to powerful mapping functionalities that are built for scalability. You can easily access a wide range of datasets, including demographics, business locations, routing, and geocoding, which are ready for immediate use. Elevate your data by incorporating local context through superior advanced analytics that can scale seamlessly. Take advantage of dynamic business intelligence solutions that integrate harmoniously with your existing technological infrastructure and data resources, providing a holistic approach to data management and analysis. This comprehensive strategy equips users to make quick and informed decisions, boosting overall productivity and insight. With these tools at your disposal, your business can thrive in a data-driven landscape.

What is IBM Analytics Engine?

IBM Analytics Engine presents an innovative structure for Hadoop clusters by distinctively separating the compute and storage functionalities. Instead of depending on a static cluster where nodes perform both roles, this engine allows users to tap into an object storage layer, like IBM Cloud Object Storage, while also enabling the on-demand creation of computing clusters. This separation significantly improves the flexibility, scalability, and maintenance of platforms designed for big data analytics. Built upon a framework that adheres to ODPi standards and featuring advanced data science tools, it effortlessly integrates with the broader Apache Hadoop and Apache Spark ecosystems. Users can customize clusters to meet their specific application requirements, choosing the appropriate software package, its version, and the size of the cluster. They also have the flexibility to use the clusters for the duration necessary and can shut them down right after completing their tasks. Furthermore, users can enhance these clusters with third-party analytics libraries and packages, and utilize IBM Cloud services, including machine learning capabilities, to optimize their workload deployment. This method not only fosters a more agile approach to data processing but also ensures that resources are allocated efficiently, allowing for rapid adjustments in response to changing analytical needs.

Media

Media

Integrations Supported

Acquia CDP
Apache Spark
Galileo
Hadoop
IBM Cloud Object Storage
RadiantOne
Switch Automation

Integrations Supported

Acquia CDP
Apache Spark
Galileo
Hadoop
IBM Cloud Object Storage
RadiantOne
Switch Automation

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.014 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MapLarge

Date Founded

2008

Company Location

United States

Company Website

maplarge.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/analytics-engine

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Location Intelligence

Behavioral Analytics
Data Visualization
Demographic Data
Geocoding
Geofencing
Location Tracking
Predictive Analytics
Trade Area Analysis

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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