Ratings and Reviews 9 Ratings
Ratings and Reviews 0 Ratings
What is OpenDQ?
OpenDQ offers an enterprise solution for data quality, master data management, and governance at no cost. Its modular architecture allows it to adapt and expand according to the specific needs of your organization's data management strategies.
By leveraging a framework powered by machine learning and artificial intelligence, OpenDQ ensures the reliability of your data.
The platform encompasses a wide range of features, including:
- Thorough Data Quality Assurance
- Advanced Matching Capabilities
- In-depth Data Profiling
- Standardization for Data and Addresses
- Master Data Management Solutions
- A Comprehensive 360-Degree View of Customer Information
- Robust Data Governance
- An Extensive Business Glossary
- Effective Meta Data Management
This makes OpenDQ a versatile choice for enterprises striving to enhance their data handling processes.
What is Hitachi Content Intelligence?
Boosting productivity through smart data discovery and transformation leads to faster insights, which ultimately enhances your organization's acumen. A robust solution framework enables in-depth exploration and swift examination of vital business data and storage functions. Whether your data resides on-premises, in the cloud, or takes on structured or unstructured forms, Hitachi Content Intelligence maximizes data value to deliver critical information for sound business decisions. By tackling the challenges your industry faces regarding data expansion and dispersion, you can quickly pinpoint the information you need. Furthermore, by enriching your data, your organization can access the most relevant insights to stay current. In addition, the ability to aggregate data from multiple sources allows you to uncover fresh insights and boost productivity through advanced search features that simplify the entire process. This all-encompassing strategy equips businesses to adjust and excel in a continuously changing data environment, ensuring they remain competitive and informed. Adapting to these rapid changes is essential for long-term success.
Integrations Supported
ActiveScale
Apache Cassandra
Apache HBase
Apache Kafka
Atom
DatAnswers
Google Calendar
KLDiscovery
MINDely
MongoDB
Integrations Supported
ActiveScale
Apache Cassandra
Apache HBase
Apache Kafka
Atom
DatAnswers
Google Calendar
KLDiscovery
MINDely
MongoDB
API Availability
Has API
API Availability
Has API
Pricing Information
$0
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
Infosolve Technologies, Inc
Date Founded
2003
Company Location
United States
Company Website
www.infosolvetech.com
Company Facts
Organization Name
Hitachi Vantara
Date Founded
1979
Company Location
United States
Company Website
www.hitachivantara.com/en-us/products/data-storage/object-storage/content-intelligence.html
Categories and Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
Categories and Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management