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What is doolytic?
Doolytic leads the way in big data discovery by merging data exploration, advanced analytics, and the extensive possibilities offered by big data. The company empowers proficient business intelligence users to engage in a revolutionary shift towards self-service big data exploration, revealing the data scientist within each individual. As a robust enterprise software solution, Doolytic provides built-in discovery features specifically tailored for big data settings. Utilizing state-of-the-art, scalable, open-source technologies, Doolytic guarantees rapid performance, effectively managing billions of records and petabytes of information with ease. It adeptly processes structured, unstructured, and real-time data from various sources, offering advanced query capabilities designed for expert users while seamlessly integrating with R for in-depth analytics and predictive modeling. Thanks to the adaptable architecture of Elastic, users can easily search, analyze, and visualize data from any format and source in real time. By leveraging the power of Hadoop data lakes, Doolytic overcomes latency and concurrency issues that typically plague business intelligence, paving the way for efficient big data discovery without cumbersome or inefficient methods. Consequently, organizations can harness Doolytic to fully unlock the vast potential of their data assets, ultimately driving innovation and informed decision-making.
What is IBM StoredIQ Suite?
The IBM StoredIQ® Suite effectively tackles a range of issues involving data discovery, records management, compliance, storage efficiency, and data migration. It provides an in-depth evaluation of unstructured data directly at its source, enabling organizations to gain the essential insights needed for informed business decisions. For those in the legal field, IBM StoredIQ for Legal simplifies the electronic discovery (eDiscovery) process through a methodical framework. Moreover, with IBM StoredIQ Policy included in the suite, organizations can automate their data management policies seamlessly. This approach to in-place data management empowers businesses to recognize and handle unstructured data without the necessity of transferring it to distinct repositories or applications. The suite is equipped with advanced search functionalities that significantly improve the analysis of large volumes of unstructured content. As a result, organizations can attain a more lucid and detailed comprehension of their extensive corporate data landscape. By leveraging these tools, companies are significantly better positioned to navigate the intricate challenges of their data environment with greater confidence and efficiency. This comprehensive solution not only enhances operational agility but also supports strategic decision-making processes.
Integrations Supported
Apache Spark
Cloudera
Cloudera Data Platform
Elastic Cloud
Facebook
Hadoop
Qlik Cloud Analytics
Qlik Sense
Integrations Supported
Apache Spark
Cloudera
Cloudera Data Platform
Elastic Cloud
Facebook
Hadoop
Qlik Cloud Analytics
Qlik Sense
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
doolytic
Date Founded
2015
Company Location
Italy
Company Website
doolytic.com
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/products/storediq-suite
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 Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Categories and Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics