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What is IBM Digital Analytics?

As companies aim to harness the power of artificial intelligence, it becomes imperative for them to collect data from diverse sources, employ advanced tools and frameworks, and deploy models across different operational environments. However, according to IDC, one-third of executives' time is primarily spent on the challenges of data integration and preparation for AI initiatives. To bolster business continuity and resilience during times of uncertainty and disruption, it is vital to streamline and automate the processes of data gathering, organization, and analysis, thereby embedding AI more thoroughly within the organization. Moreover, AI-driven search and text analytics utilize natural language processing to tailor themselves to the specific language and terminology relevant to your industry. This AI-focused governance, risk, and compliance approach enables the management of risk and regulatory compliance with enhanced efficiency and effectiveness, ultimately contributing to a more robust operational foundation. Implementing these strategies not only enhances a company's AI capabilities but also equips them to excel in a rapidly changing market environment. Furthermore, fostering a culture that embraces AI can lead to innovative solutions and improved decision-making across all levels of the organization.

What is GraphDB?

GraphDB facilitates the development of extensive knowledge graphs by connecting various data sources and optimizing them for semantic search capabilities. It stands out as a powerful graph database, proficient in handling RDF and SPARQL queries efficiently. Moreover, GraphDB features a user-friendly replication cluster, which has proven effective in numerous enterprise scenarios that demand data resilience during loading processes and query execution. For a concise overview and to access the latest versions, you can check out the GraphDB product page. Utilizing RDF4J for data storage and querying, GraphDB also accommodates a diverse array of query languages, including SPARQL and SeRQL, while supporting multiple RDF syntaxes like RDF/XML and Turtle. This versatility makes GraphDB an ideal choice for organizations seeking to leverage their data more effectively.

Media

Media

Integrations Supported

Azure Marketplace
Gate
Hackolade
MongoDB
SolrCommerce

Integrations Supported

Azure Marketplace
Gate
Hackolade
MongoDB
SolrCommerce

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/analytics

Company Facts

Organization Name

Ontotext

Date Founded

2008

Company Location

Bulgaria

Company Website

www.ontotext.com/product/graphdb

Categories and Features

Web Analytics

Campaign Management
Conversion Tracking
Form Analytics
Goal Tracking
Keyword Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Site Search Tracking
Time on Site Tracking
User Interaction Tracking

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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