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What is IRI Voracity?
IRI Voracity is a comprehensive software platform designed for efficient, cost-effective, and user-friendly management of the entire data lifecycle. This platform accelerates and integrates essential processes such as data discovery, governance, migration, analytics, and integration within a unified interface based on Eclipse™.
By merging various functionalities and offering a broad spectrum of job design and execution alternatives, Voracity effectively reduces the complexities, costs, and risks linked to conventional megavendor ETL solutions, fragmented Apache tools, and niche software applications. With its unique capabilities, Voracity facilitates a wide array of data operations, including:
* profiling and classification
* searching and risk-scoring
* integration and federation
* migration and replication
* cleansing and enrichment
* validation and unification
* masking and encryption
* reporting and wrangling
* subsetting and testing
Moreover, Voracity is versatile in deployment, capable of functioning on-premise or in the cloud, across physical or virtual environments, and its runtimes can be containerized or accessed by real-time applications and batch processes, ensuring flexibility for diverse user needs. This adaptability makes Voracity an invaluable tool for organizations looking to streamline their data management strategies effectively.
What is ABEJA Platform?
The ABEJA platform signifies a revolutionary leap in artificial intelligence, combining cutting-edge innovations like IoT, Big Data, and Deep Learning technologies. Back in 2013, data circulation stood at 4.4 zettabytes, yet forecasts indicated an astonishing rise to 44 zettabytes by 2020, leading to critical inquiries about how to effectively collect and utilize this immense array of information. In addition, it raises vital considerations regarding the strategies we might adopt to derive fresh insights and value from this wealth of data. The ABEJA platform emerges as a frontrunner in AI, tackling the increasingly intricate technological challenges of tomorrow while improving the utilization of varied data sources. It boasts advanced image analysis functions driven by Deep Learning and can swiftly handle extensive datasets thanks to its innovative decentralized processing framework. Alongside this, it leverages Machine Learning and Deep Learning methodologies to sift through the amassed data, while also enabling effortless delivery of analytical outcomes via its API, rendering it an essential asset for organizations aiming to innovate and succeed in an era dominated by data. Moreover, as it continues to evolve with technological progress, ABEJA is poised to further expand the horizons of AI applications across diverse sectors. The platform not only showcases the capabilities of artificial intelligence but also inspires confidence in its potential to transform industries fundamentally.
Integrations Supported
Amazon RDS
Amazon S3
Apache Airflow
Apache Cassandra
EDB Postgres Advanced Server
Eclipse IDE
GitLab
IBM Cognos Analytics
IBM Db2
IRI Data Manager
Integrations Supported
Amazon RDS
Amazon S3
Apache Airflow
Apache Cassandra
EDB Postgres Advanced Server
Eclipse IDE
GitLab
IBM Cognos Analytics
IBM Db2
IRI Data Manager
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
IRI, The CoSort Company
Date Founded
1978
Company Location
United States
Company Website
www.iri.com/products/voracity
Company Facts
Organization Name
ABEJA
Date Founded
2012
Company Location
Japan
Company Website
abejainc.com/platform/en/
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
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Cleansing
Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
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 Management Platforms (DMP)
Ad Network Integration
Analytics / ROI Tracking
Audience Targeting
Behavioral Analytics
CRM
Campaign Management
Competitive Analysis
Customer Journey Mapping
Data Capture / Transfer
Data Classification
Data Visualization
Data Security
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
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
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization