Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Delphix is the industry leader for DataOps. It provides an intelligent data platform that accelerates digital change for leading companies around world. The Delphix DataOps Platform supports many systems, including mainframes, Oracle databases, ERP apps, and Kubernetes container. Delphix supports a wide range of data operations that enable modern CI/CD workflows. It also automates data compliance with privacy regulations such as GDPR, CCPA and the New York Privacy Act. Delphix also helps companies to sync data between private and public clouds, accelerating cloud migrations and customer experience transformations, as well as the adoption of disruptive AI technologies.
Description
The primary obstacle in expanding AI-driven decision-making lies in the underutilization of data. IBM Cloud Pak® for Data provides a cohesive platform that integrates a data fabric, enabling seamless connection and access to isolated data, whether it resides on-premises or in various cloud environments, without necessitating data relocation. It streamlines data accessibility by automatically identifying and organizing data to present actionable knowledge assets to users, while simultaneously implementing automated policy enforcement to ensure secure usage. To further enhance the speed of insights, this platform incorporates a modern cloud data warehouse that works in harmony with existing systems. It universally enforces data privacy and usage policies across all datasets, ensuring compliance is maintained. By leveraging a high-performance cloud data warehouse, organizations can obtain insights more rapidly. Additionally, the platform empowers data scientists, developers, and analysts with a comprehensive interface to construct, deploy, and manage reliable AI models across any cloud infrastructure. Moreover, enhance your analytics capabilities with Netezza, a robust data warehouse designed for high performance and efficiency. This comprehensive approach not only accelerates decision-making but also fosters innovation across various sectors.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Chef
Yes
Clonetab
Yes
Datamatics Trade Finance
No
Digital.ai Release
Yes
GenRocket
Yes
IBM Db2
Yes
IBM InfoSphere Information Governance Catalog
No
Liquibase
Yes
MariaDB
Yes
MongoDB
Yes
Integrations
Chef
No
Clonetab
No
Datamatics Trade Finance
Yes
Digital.ai Release
No
GenRocket
No
IBM Db2
No
IBM InfoSphere Information Governance Catalog
Yes
Liquibase
No
MariaDB
No
MongoDB
No
Pricing Details
On request
Free Trial
No
Free Version
No
Pricing Details
$699 per month
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Perforce
Founded
1995
Country
United States
Website
www.perforce.com/products/delphix
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/cloud-pak-for-data
Product Features
Application Lifecycle Management
Administrator Level Control
Yes
Defect Tracking
No
Iteration Planning
No
Project Management
No
Release Management
No
Requirements Review
No
Task Management
No
Test Case Tracking
No
User Level Management
No
Version Control
No
Continuous Integration
Build Log
Yes
Change Management
Yes
Configuration Management
Yes
Continuous Delivery
Yes
Continuous Deployment
Yes
Debugging
Yes
Permission Management
Yes
Quality Assurance Management
Yes
Testing Management
Yes
Data Fabric
Data Access Management
No
Data Analytics
No
Data Collaboration
No
Data Lineage Tools
No
Data Networking / Connecting
No
Metadata Functionality
No
No Data Redundancy
No
Persistent Data Management
No
Data Governance
Access Control
No
Data Discovery
No
Data Mapping
No
Data Profiling
No
Deletion Management
No
Email Management
No
Policy Management
No
Process Management
No
Roles Management
No
Storage Management
No
Data Management
Customer Data
Yes
Data Analysis
Yes
Data Capture
Yes
Data Integration
Yes
Data Migration
Yes
Data Quality Control
Yes
Data Security
Yes
Information Governance
Yes
Master Data Management
Yes
Match & Merge
Yes
Data Privacy Management
Access Control
No
CCPA Compliance
No
Consent Management
No
Data Mapping
No
GDPR Compliance
No
Incident Management
No
PIA / DPIA
No
Policy Management
No
Risk Management
No
Sensitive Data Identification
No
Database
Backup and Recovery
Yes
Creation / Development
Yes
Data Migration
Yes
Data Replication
Yes
Data Search
Yes
Data Security
Yes
Database Conversion
Yes
Mobile Access
Yes
Monitoring
Yes
NOSQL
Yes
Performance Analysis
Yes
Queries
Yes
Relational Interface
Yes
Virtualization
Yes
DevOps
Approval Workflow
No
Dashboard
Yes
KPIs
No
Policy Management
No
Portfolio Management
No
Prioritization
No
Release Management
No
Timeline Management
No
Troubleshooting Reports
No
GDPR Compliance
Access Control
Yes
Consent Management
No
Data Mapping
Yes
Incident Management
No
PIA / DPIA
No
Policy Management
Yes
Risk Management
No
Sensitive Data Identification
Yes
Master Data Management
Data Governance
Yes
Data Masking
Yes
Data Source Integrations
Yes
Hierarchy Management
Yes
Match & Merge
Yes
Metadata Management
Yes
Multi-Domain
Yes
Process Management
Yes
Relationship Mapping
Yes
Visualization
Yes
Virtualization
Archiving & Retention
Yes
Capacity Monitoring
Yes
Data Mobility
Yes
Desktop Virtualization
Yes
Disaster Recovery
Yes
Namespace Management
Yes
Performance Management
Yes
Version Control
Yes
Virtual Machine Monitoring
Yes
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Fabric
Data Access Management
No
Data Analytics
No
Data Collaboration
No
Data Lineage Tools
No
Data Networking / Connecting
No
Metadata Functionality
No
No Data Redundancy
No
Persistent Data Management
No
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No