Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Thinfinity Workspace Reviews & Ratings
    14 Ratings
    Company Website
  • Stonebranch Reviews & Ratings
    122 Ratings
    Company Website
  • Datasite Diligence Virtual Data Room Reviews & Ratings
    452 Ratings
    Company Website
  • Resolver Reviews & Ratings
    246 Ratings
    Company Website
  • Dynatrace Reviews & Ratings
    3,220 Ratings
  • kama DEI Reviews & Ratings
    8 Ratings
  • groundcover Reviews & Ratings
    32 Ratings
    Company Website
  • Harmoni Reviews & Ratings
    14 Ratings
    Company Website
  • Secure Eraser Reviews & Ratings
    11 Ratings
    Company Website
  • MindCloud Reviews & Ratings
    20 Ratings
    Company Website

What is Rocket Data Virtualization?

Traditional methods for integrating mainframe data, like ETL, data warehouses, and connector development, are becoming increasingly insufficient in terms of speed, accuracy, and efficiency in the current business environment. With the ever-growing volume of data generated and stored on mainframes, these timeworn approaches are increasingly outpaced. Data virtualization presents itself as a modern solution to this widening gap, streamlining the access of mainframe data for both developers and applications. This innovative method enables organizations to identify and map their data just once, allowing for easy virtualization and reuse across multiple platforms. Consequently, this capability ensures that data remains in alignment with overarching business objectives and goals. By implementing data virtualization on z/OS, organizations can effectively navigate the complexities associated with mainframe resources. Furthermore, data virtualization promotes the integration of information from various disparate sources into a unified logical repository, which significantly enhances the connection between mainframe data and distributed applications. In addition, this technique allows for the enrichment of mainframe data through the incorporation of insights derived from location, social media, and other external datasets, leading to a more holistic understanding of business dynamics. As organizations seek to remain competitive, embracing such advanced methodologies can foster agility and innovation in decision-making processes.

What is Lyftrondata?

If you aim to implement a governed delta lake, build a data warehouse, or shift from a traditional database to a modern cloud data infrastructure, Lyftrondata is your ideal solution. The platform allows you to easily create and manage all your data workloads from a single interface, streamlining the automation of both your data pipeline and warehouse. You can quickly analyze your data using ANSI SQL alongside business intelligence and machine learning tools, facilitating the effortless sharing of insights without the necessity for custom coding. This feature not only boosts the productivity of your data teams but also speeds up the process of extracting value from data. By defining, categorizing, and locating all datasets in one centralized hub, you enable smooth sharing with colleagues, eliminating coding complexities and promoting informed, data-driven decision-making. This is especially beneficial for organizations that prefer to store their data once and make it accessible to various stakeholders for ongoing and future utilization. Moreover, you have the ability to define datasets, perform SQL transformations, or transition your existing SQL data processing workflows to any cloud data warehouse that suits your needs, ensuring that your data management approach remains both flexible and scalable. Ultimately, this comprehensive solution empowers organizations to maximize the potential of their data assets while minimizing technical hurdles.

Media

Media

Integrations Supported

IBM Cloud
Active Directory
Amazon Athena
Apache Spark
Azure SQL Database
Bird
Google AdMob
Google Data Studio
Google Sheets
Looker
Paylocity
Strategy ONE
Toucan Nest
Trevor.io
Wistia
WorkflowMax
Yellowfin
Zendesk

Integrations Supported

IBM Cloud
Active Directory
Amazon Athena
Apache Spark
Azure SQL Database
Bird
Google AdMob
Google Data Studio
Google Sheets
Looker
Paylocity
Strategy ONE
Toucan Nest
Trevor.io
Wistia
WorkflowMax
Yellowfin
Zendesk

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

Rocket

Date Founded

1990

Company Location

United States

Company Website

www.rocketsoftware.com/product-categories/data-virtualization

Company Facts

Organization Name

Lyftrondata

Date Founded

2017

Company Location

United States

Company Website

lyftron.com

Categories and Features

Categories and Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Replication

Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

ETL

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

Popular Alternatives

Popular Alternatives

Hyper-Q Reviews & Ratings

Hyper-Q

Datometry
Delphix Reviews & Ratings

Delphix

Perforce