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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

At Datametica, our innovative solutions significantly reduce risks and alleviate costs, time, frustration, and anxiety throughout the data warehouse migration process to the cloud. We facilitate the transition of your current data warehouse, data lake, ETL, and enterprise business intelligence systems to your preferred cloud environment through our automated product suite. Our approach involves crafting a comprehensive migration strategy that includes workload discovery, assessment, planning, and cloud optimization. With our Eagle tool, we provide insights from the initial discovery and assessment phases of your existing data warehouse to the development of a tailored migration strategy, detailing what data needs to be moved, the optimal sequence for migration, and the anticipated timelines and expenses. This thorough overview of workloads and planning not only minimizes migration risks but also ensures that business operations remain unaffected during the transition. Furthermore, our commitment to a seamless migration process helps organizations embrace cloud technologies with confidence and clarity.

Description

The IBM StoredIQ® Suite addresses various challenges related to data discovery, records management, compliance, storage optimization, and data migration. It offers a thorough assessment of unstructured data right where it resides, granting organizations the insight necessary to make better business decisions. For legal professionals, IBM StoredIQ for Legal streamlines the electronic discovery (eDiscovery) process through a systematic approach. Additionally, organizations can automate their policies using IBM StoredIQ Policy, which is included in the StoredIQ Suite. This in-place data management allows businesses to identify and manage unstructured data without relocating it to separate repositories or applications. The suite features a robust search capability that enhances the analysis of vast amounts of unstructured content. Ultimately, businesses can achieve a clearer and more comprehensive understanding of their extensive corporate data. With these tools, organizations are better equipped to navigate the complexities of their data landscape effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Snowflake

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Snowflake

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Datametica

Founded

2013

Country

India

Website

www.datametica.com

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/storediq-suite

Product Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Product Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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