Denodo vs. Hitachi Compute Blade (BladeSymphony)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Denodo
Score 8.6 out of 10
N/A
Denodo is the eponymous data integration platform from the global company headquartered in Silicon Valley.N/A
Hitachi Compute Blade (BladeSymphony)
Score 10.0 out of 10
N/A
Hitachi Vantara offers Hitachi Compute Blade (BladeSymphony) is a line of blade servers.N/A
Pricing
DenodoHitachi Compute Blade (BladeSymphony)
Editions & Modules
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Offerings
Pricing Offerings
DenodoHitachi Compute Blade (BladeSymphony)
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
DenodoHitachi Compute Blade (BladeSymphony)
Top Pros

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Top Cons

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Best Alternatives
DenodoHitachi Compute Blade (BladeSymphony)
Small Businesses

No answers on this topic

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Medium-sized Companies
SAP HANA Cloud
SAP HANA Cloud
Score 8.6 out of 10
Cisco UCS Series
Cisco UCS Series
Score 8.4 out of 10
Enterprises
Delphix
Delphix
Score 9.0 out of 10
Cisco UCS Series
Cisco UCS Series
Score 8.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DenodoHitachi Compute Blade (BladeSymphony)
Likelihood to Recommend
8.8
(6 ratings)
-
(0 ratings)
Usability
8.0
(1 ratings)
-
(0 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
DenodoHitachi Compute Blade (BladeSymphony)
Likelihood to Recommend
Denodo
Denodo allows us to create and combine new views to create a
virtual repository and APIs without a single line of code. It is excellent
because it can present connectors with a view format for downstream consumers
by flattening a JSON file. Reading or connecting to various sources and
displaying a tabular view is an excellent feature. The product's technical data
catalog is well-organized.
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Hitachi
No answers on this topic
Pros
Denodo
  • Database Agnostic: You can easily connect to different environments and mash up data sets.
  • The "magic" of data virtualization: No data is created, so data is reported in near-real-time to end users.
  • It's easy to use UI for developers. You just connect to a data source, create tables, and join them to other datasets.
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Hitachi
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Cons
Denodo
  • Caching - but I am sure it will be improved by now. There were times when we expected the cache to be refreshed but it was stale.
  • Schema generation of endpoints from API response was sometimes incomplete as not all API calls returned all the fields. Will be good to have an ability to load the schema itself (XSD/JSON/Soap XML etc).
  • Denodo exposed web services were in preliminary stage when we used; I'm sure it will be improved by now.
  • Export/Import deployment, while it was helpful, there were unexpected issues without any errors during deployment. Issues were only identified during testing. Some views were not created properly and did not work. If it was working in the environment from where it was exported from, it should work in the environment where it is imported.
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Hitachi
No answers on this topic
Usability
Denodo
Denodo is very easy to use. It has a user-friendly drag and drop interface. I'm not a fan of the java platform it resides on.
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Hitachi
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Performance
Denodo
Denodo is a tool to rapidly mash data sources together and create meaningful datasets. It does have its downfalls though. When you create larger, more complex datasets, you will most likely need to cache your datasets, regardless of how proper your joins are set up. Since DV takes data from multiple environments, you are taxing the corporate network, so you need to be conscious of how much data you are sending through the network and truly understand how and when to join datasets due to this.
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Hitachi
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Alternatives Considered
Denodo
Denodo is simple and easy to use. Highly recommended unless you have huge volumes of data
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Hitachi
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Return on Investment
Denodo
  • It is a huge advantage that we can connect to many different databases to provide data rapidly and accurately.
  • It has proven to be a valuable environment for deploying data virtualization solutions, and its user community is active in finding and fixing issues.
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Hitachi
No answers on this topic
ScreenShots