Data Virtuality Platform vs. IBM Cloud Pak for Data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Data Virtuality Platform
Score 8.0 out of 10
N/A
Data Virtuality, headquartered in Leipzig, offers two products to solve data integration and management problems in a tailored way that best suits data teams in the fast-paced world of data. The Data Virtuality Platform combines data virtualization and data replication, Data Virtuality Platform provides data teams the flexibility to always choose the right method for the specific requirement. It is an enabler for Data Fabric and Data Mesh by providing the self-service capabilities and data…N/A
IBM Cloud Pak for Data
Score 8.9 out of 10
N/A
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.N/A
Pricing
Data Virtuality PlatformIBM Cloud Pak for Data
Editions & Modules
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Offerings
Pricing Offerings
Data Virtuality PlatformIBM Cloud Pak for Data
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Data Virtuality PlatformIBM Cloud Pak for Data
Top Pros

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Top Cons

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Best Alternatives
Data Virtuality PlatformIBM Cloud Pak for Data
Small Businesses

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Egnyte
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Score 7.6 out of 10
Medium-sized Companies
SAP HANA Cloud
SAP HANA Cloud
Score 8.5 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Enterprises
Delphix
Delphix
Score 9.1 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Data Virtuality PlatformIBM Cloud Pak for Data
Likelihood to Recommend
8.0
(1 ratings)
9.0
(13 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(2 ratings)
User Testimonials
Data Virtuality PlatformIBM Cloud Pak for Data
Likelihood to Recommend
Data Virtuality
Data Virtuality Platform's best and most unique feature is
that it is SQL-based, giving us flexibility when working with our data that
other marketing integration pipeline tools couldn't provide. Our main benefits
are the short time it takes to connect to our data sources and the flexibility
of the virtual SQL layer to meet our end users' data needs. It paves the way
for us to tap into various data repositories, extract the data contained
within, and examine it. It allows us to access information, generate actionable
reports, and make data-driven decisions. However, inadequate data governance
rules and a complex configuration process make data connectors challenging.
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IBM
IBM Cloud Pak for Data with Netezza is well suited for clients who require fast, economical analytics processing. It is not designed to be used as a transactional processing environment. For example, a large customer is using it during the point of sale process. That makes little sense in that business case. However, to take analysis to market faster, it excels well in that space.
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Pros
Data Virtuality
  • ETL/ELT model building is flexible.
  • The pipes' setup and use are intuitive.
  • It lets us access various data sources, extract, and analyze data.
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IBM
  • I really like the AI and ML which enables us to source data in different sources for easy data-driven decisions.
  • It's a cloud tool that keeps all our data safe, backed up ahs obtainable at any time without being exposed to any kind of risks or loss.
  • I like the fact that ICP is main based on open source stack which adds value to products like VA or MCM.
  • IBM support service is great and top-class.
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Cons
Data Virtuality
  • Configuring data connectors can be tricky.
  • Price could be more flexible and adapt to the use case.
  • The ETL builder's user interface could be prettier.
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IBM
  • This offering is currently available on prem, in Azure, and soon in AWS. GCP availability will be in the future as there is demand in the marketplace
  • The on premise offering starts with a Base + 0 model, which is a significant appliance. There are no 'mini' offerings as there were in the past.
  • At Destiny, we work closely with IBM to help our clients perform budgetary planning.
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Alternatives Considered
Data Virtuality
Data Virtuality Platform has powerful transformation and
scheduling capabilities combined with the best support team. A virtual data
layer that supports SQL procedures is a game changer. Data Virtuality has made
data management more efficient. It lets us access various data sources, extract,
and analyze data. The short time it takes to connect to our data sources and
the flexibility of the virtual SQL layer allows us to meet our end users' data
needs.
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IBM
Generally this tool has been very helpful and innovative because increase our workflow and collaboration using integrated multi-cloud platform. It also enables us to deploy in any flexible way like on-premises or cloud which saves time and hard disk space. It also enables us to connect, catalog, govern, transform and analyze data regardless of the area.
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Return on Investment
Data Virtuality
  • It has the capability of integrating data from a variety of different sources.
  • It improved development and user interface to offer a robust MDM repository and strategy.
  • It offers a comprehensive solution for processing and retrieving data, which is one of the ways it assists.
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IBM
  • IBM Cloud helps us to manage data speed across every distributed stores and clouds.
  • Acts as a single unified tool which brings all our data in one place where it's safe and easy to access.
  • Enables all of our data users to collaborate from a single, unified interface that supports many services that are designed to work seamless.
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ScreenShots