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features
design
support

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Write a Review

Description

Streamline the self-service provisioning and refreshing of enterprise workloads while seamlessly integrating with your current toolchain. Enable efficient data delivery and reutilization for data scientists via a comprehensive suite of APIs and automation tools. Achieve data recovery across any cloud environment from any moment in time, concurrently and at scale, surpassing traditional legacy solutions. Reduce the impact of ransomware and cyber threats by ensuring rapid recovery through immutable backup systems. A consolidated platform enhances the protection, security, retention, governance, and recovery of your data, whether on-premises or in the cloud. Actifio’s innovative software platform transforms isolated data silos into interconnected data pipelines. The Virtual Data Pipeline (VDP) provides comprehensive data management capabilities — adaptable for on-premises, hybrid, or multi-cloud setups, featuring extensive application integration, SLA-driven orchestration, flexible data movement, and robust data immutability and security measures. This holistic approach not only optimizes data handling but also empowers organizations to leverage their data assets more effectively.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Datamatics Trade Finance No 
Enov8 Yes 
FlashBlade//S Yes 
Google Cloud Platform Yes 
IBM Cloud Yes 
IBM Control Desk No 
IBM Db2 Big SQL No 
IBM Db2 Event Store No 
IBM Netezza Performance Server No 
IRI Data Protector Suite Yes 
IRI FieldShield Yes 
InfiniBox Yes 
Microsoft Azure Yes 
Oracle Cloud Infrastructure Yes 
TCS CHROMA Yes 
TCS Intelligent Urban Exchange Yes 
TCS MasterCraft DevPlus Yes 
TCS MasterCraft TransformPlus Yes 
TCS TAP Yes 
Windocks Yes 

Integrations

Datamatics Trade Finance Yes 
Enov8 No 
FlashBlade//S No 
Google Cloud Platform No 
IBM Cloud No 
IBM Control Desk Yes 
IBM Db2 Big SQL Yes 
IBM Db2 Event Store Yes 
IBM Netezza Performance Server Yes 
IRI Data Protector Suite No 
IRI FieldShield No 
InfiniBox No 
Microsoft Azure No 
Oracle Cloud Infrastructure No 
TCS CHROMA No 
TCS Intelligent Urban Exchange No 
TCS MasterCraft DevPlus No 
TCS MasterCraft TransformPlus No 
TCS TAP No 
Windocks No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$699 per month
Free Trial No 
Free Version 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 

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 No 
Live Rep (24/7) Yes 
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

Google

Founded

1998

Country

United States

Website

www.actifio.com

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/cloud-pak-for-data

Product Features

Data Center Backup

Continuous Data Protection Yes 
Deduplication Yes 
Encryption Yes 
File Archival Yes 
File Compression Yes 
Platform Agnostic Yes 
Regular Snapshots Yes 
Reporting / Analytics No 

Data Recovery

Web Access / Restoration No 
Backup Log No 
Backup Scheduling No 
Compression No 
Continuous Backup No 
Encryption No 
Incremental Backup No 
Local Server Options No 
Multiple System Support No 
Remote Server Options No 
Secure Data Storage No 

DevOps

Approval Workflow No 
Dashboard No 
KPIs No 
Policy Management No 
Portfolio Management No 
Prioritization No 
Release Management No 
Timeline Management No 
Troubleshooting Reports No 

Disaster Recovery

Administration Policies Yes 
Bare-Metal Recovery Yes 
Encryption Yes 
Failover Testing Yes 
Flexible Data Capture Yes 
Multi-Platform Support Yes 
Multiple Data Type Support Yes 
Offline Storage Yes 

Virtualization

Archiving & Retention Yes 
Capacity Monitoring No 
Data Mobility Yes 
Desktop Virtualization No 
Disaster Recovery Yes 
Namespace Management No 
Performance Management No 
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 

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