Data Virtuality Platform vs. IBM Db2 Big SQL

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
Db2 Big SQL
Score 8.7 out of 10
N/A
IBM offers Db2 Big SQL, an enterprise grade hybrid ANSI-compliant SQL on Hadoop engine, delivering massively parallel processing (MPP) and advanced data query. Big SQL offers a single database connection or query for disparate sources such as HDFS, RDMS, NoSQL databases, object stores and WebHDFS.N/A
Pricing
Data Virtuality PlatformIBM Db2 Big SQL
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Data Virtuality PlatformDb2 Big SQL
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 Db2 Big SQL
Top Pros

No answers on this topic

Top Cons

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Best Alternatives
Data Virtuality PlatformIBM Db2 Big SQL
Small Businesses

No answers on this topic

No answers on this topic

Medium-sized Companies
SAP HANA Cloud
SAP HANA Cloud
Score 8.7 out of 10
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Enterprises
Delphix
Delphix
Score 9.7 out of 10
IBM Analytics Engine
IBM Analytics Engine
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Data Virtuality PlatformIBM Db2 Big SQL
Likelihood to Recommend
8.0
(1 ratings)
9.0
(2 ratings)
Usability
-
(0 ratings)
8.0
(1 ratings)
Support Rating
-
(0 ratings)
8.8
(2 ratings)
User Testimonials
Data Virtuality PlatformIBM Db2 Big SQL
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
My recommendation obviously would depend on the application. But I think given the right requirements, IBM DB2 Big SQL is definitely a contender for a database platform. Especially when disparate data and multiple data stores are involved. I like the fact I can use the product to federate my data and make it look like it's all in one place. The engine is high performance and if you desire to use Hadoop, this could be your platform.
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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
  • data storage
  • data manipulation
  • data definitions
  • data reliability
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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
  • Cloud readiness.
  • Ease of implementation.
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Usability
Data Virtuality
No answers on this topic
IBM
IBM DB2 is a solid service but hasn't seen much innovation over the past decade. It gets the job done and supports our IT operations across digital so it is fair.
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Support Rating
Data Virtuality
No answers on this topic
IBM
IBM did a good job of supporting us during our evaluation and proof of concept. They were able to provide all necessary guidance, answer questions, help us architect it, etc. We were pleased with the support provided by the vendor. I will caveat and say this support was all before the sale, however, we have a ton of IBM products and they provide the same high level of support for all of them. I didn't see this being any different. I give IBM support two thumbs up!
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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
MS SQL Server was ruled out given we didn't feel we could collapse environments. We thought of MS-SQL as more of a one for one replacement for Sybase ASE, i.e., server for server. SAP HANA was evaluated and given a big thumbs up but was rejected because the SQL would have to be rewritten at the time (now they have an accelerator so you don't have to). Also, there was a very low adoption rate within the enterprise. IBM DB2 Big SQL was not selected even though technically it achieved high scores, because we could not find readily available talent and low adoption rate within the enterprise (basically no adoption at the time). We ended up selecting Exadata because of the high adoption rate within the enterprise even though technically HANA and Big SQL were superior in our evaluations.
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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
  • better data visibility
  • solid reliability for mission critical data
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ScreenShots