Fivetran vs. Red Hat JBoss Data Virtualization

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Fivetran
Score 8.2 out of 10
N/A
Fivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern companies using cloud-based software and storage, traditional ETL tools badly underperformed, and the complicated configurations they required often led to project failures. To streamline and accelerate…
$0.01
JBoss Data Virtualization
Score 6.0 out of 10
N/A
JBoss Data Virtualization is a data integration solution that sits in front of multiple data sources and allows them to be treated as a single source, to deliver the right data, in the required form, at the right time to any application and/or user. Also presented as a lean, virtual data integration solution that unlocks trapped data and delivers it as easily consumable, unified, and actionable information. Red Hat JBoss Data Virtualization makes data spread across physically diverse…N/A
Pricing
FivetranRed Hat JBoss Data Virtualization
Editions & Modules
Starter
$0.01
per credit
Standard
$0.01
per credit
Enterprise
$0.01
per credit
No answers on this topic
Offerings
Pricing Offerings
FivetranJBoss Data Virtualization
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
FivetranRed Hat JBoss Data Virtualization
Top Pros
Top Cons
Features
FivetranRed Hat JBoss Data Virtualization
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Fivetran
7.6
6 Ratings
8% below category average
Red Hat JBoss Data Virtualization
-
Ratings
Connect to traditional data sources8.66 Ratings00 Ratings
Connecto to Big Data and NoSQL6.64 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Fivetran
7.5
5 Ratings
11% below category average
Red Hat JBoss Data Virtualization
-
Ratings
Simple transformations7.55 Ratings00 Ratings
Complex transformations7.53 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Fivetran
7.2
6 Ratings
12% below category average
Red Hat JBoss Data Virtualization
-
Ratings
Data model creation7.25 Ratings00 Ratings
Metadata management8.63 Ratings00 Ratings
Business rules and workflow4.24 Ratings00 Ratings
Collaboration8.93 Ratings00 Ratings
Testing and debugging7.12 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Fivetran
6.8
5 Ratings
19% below category average
Red Hat JBoss Data Virtualization
-
Ratings
Integration with data quality tools6.74 Ratings00 Ratings
Integration with MDM tools7.02 Ratings00 Ratings
Best Alternatives
FivetranRed Hat JBoss Data Virtualization
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10

No answers on this topic

Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
SAP HANA Cloud
SAP HANA Cloud
Score 8.5 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Delphix
Delphix
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
FivetranRed Hat JBoss Data Virtualization
Likelihood to Recommend
8.5
(7 ratings)
6.0
(2 ratings)
Usability
9.0
(1 ratings)
-
(0 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
FivetranRed Hat JBoss Data Virtualization
Likelihood to Recommend
Fivetran
Fivetran's business model justifies the use-case where we require data from a single source basically a lot of data but if the requirement is not on the heavier side, Fivetran comes to costly operation when compared to its peers. Otherwise, I'll recommend Fivetran for stability and update and seamless service provider.
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Red Hat
Red Hat JBoss Enterprise Data Services is a top choice for JEE applications. Even though lots of documentation is available, it's difficult in terms of usability. If the development is more based on Java applications it is a good choice. It provides better installation and integrations.
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Pros
Fivetran
  • Easily connects to source data using delivered connectors
  • Transforms data into standard models and schemas
  • Has very good documentation to help quickly setup connectors
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Red Hat
  • Data source compatibility: since it is Java, it can connect to anything with a JDBC driver.
  • Flexibility: you can configure it however you want, we have it configured to use LDAPS for authentication and have all interfaces encrypted, and setting that up was pretty straight forward.
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Cons
Fivetran
  • More detailed logging
  • More flexible choices for time range over which records are synced
  • More options for masking and excluding sensitive data
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Red Hat
  • Pricing
  • User Interface
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Usability
Fivetran
Just need to input connection info.
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Red Hat
No answers on this topic
Performance
Fivetran
It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare.
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Red Hat
No answers on this topic
Support Rating
Fivetran
No answers on this topic
Red Hat
Support availability and resolution response time make it a better choice.
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Alternatives Considered
Fivetran
We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly.
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Red Hat
Market value and support extended by Redhat is the winner against Veritas. It has cool features and functionality but still, if your organization is Redhat shop it's better to go for the Jboss option.
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Return on Investment
Fivetran
  • Development cost have reduced for each connector
  • The pay-per-use model is still not out their which requires lot of overhead cost
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Red Hat
  • It has allowed us to start moving applications independent from their underlying data sources, savings us time and limiting cutover effort.
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ScreenShots