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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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.

Description

Mage Sensitive Data Discovery module can help you uncover hidden data locations in your company. You can find data hidden in any type of data store, whether it is structured, unstructured or Big Data. Natural Language Processing and Artificial Intelligence can be used to find data in the most difficult of places. A patented approach to data discovery ensures efficient identification of sensitive data and minimal false positives. You can add data classifications to your existing 70+ data classifications that cover all popular PII/PHI data. A simplified discovery process allows you to schedule sample, full, and even incremental scans.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon DynamoDB No 
Amazon Redshift No 
Amazon S3 No 
Apache Spark No 
Azure Databricks No 
Cloudera No 
Google Cloud BigQuery No 
Google Cloud Build No 
Google Drive No 
Hadoop No 
Hemi HL7 No 
Magento No 
Microsoft SharePoint No 
MongoDB No 
MySQL No 
SAP HANA No 
SQL Server No 
Salesforce No 
Snowflake No 
Teradata QueryGrid No 

Integrations

Amazon DynamoDB Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Apache Spark Yes 
Azure Databricks Yes 
Cloudera Yes 
Google Cloud BigQuery Yes 
Google Cloud Build Yes 
Google Drive Yes 
Hadoop Yes 
Hemi HL7 Yes 
Magento Yes 
Microsoft SharePoint Yes 
MongoDB Yes 
MySQL Yes 
SAP HANA Yes 
SQL Server Yes 
Salesforce Yes 
Snowflake Yes 
Teradata QueryGrid Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
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 No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
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) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
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 No 

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/storediq-suite

Vendor Details

Company Name

Mage Data

Founded

2014

Country

United States

Website

magedata.ai/sensitive-data-discovery-catalog/

Product Features

Data Discovery

Contextual Search No 
Data Classification No 
Data Matching No 
False Positives Reduction No 
Self Service Data Preparation No 
Sensitive Data Identification No 
Visual Analytics No 

Product Features

Data Discovery

Contextual Search Yes 
Data Classification Yes 
Data Matching Yes 
False Positives Reduction Yes 
Self Service Data Preparation No 
Sensitive Data Identification Yes 
Visual Analytics No 

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