Azure Synapse Analytics vs. Denodo

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Synapse Analytics
Score 7.5 out of 10
N/A
Azure Synapse Analytics is described as the former Azure SQL Data Warehouse, evolved, and as a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives users the freedom to query data using either serverless or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
$4,700
per month 5000 Synapse Commit Units (SCUs)
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
Pricing
Azure Synapse AnalyticsDenodo
Editions & Modules
Tier 1
$4,700
per month 5,000 Synapse Commit Units (SCUs)
Tier 2
$9,200
per month 10,000 Synapse Commit Units (SCUs)
Tier 3
$21,360
per month 24,000 Synapse Commit Units (SCUs)
Tier 4
$50,400
per month 60,000 Synapse Commit Units (SCUs)
Tier 5
$117,000
per month 150,000 Synapse Commit Units (SCUs)
Tier 6
$259,200
per month 360,000 Synapse Commit Units (SCUs)
No answers on this topic
Offerings
Pricing Offerings
Azure Synapse AnalyticsDenodo
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
Azure Synapse AnalyticsDenodo
Top Pros
Top Cons
Best Alternatives
Azure Synapse AnalyticsDenodo
Small Businesses
Google BigQuery
Google BigQuery
Score 8.6 out of 10

No answers on this topic

Medium-sized Companies
Snowflake
Snowflake
Score 9.0 out of 10
SAP HANA Cloud
SAP HANA Cloud
Score 8.6 out of 10
Enterprises
Snowflake
Snowflake
Score 9.0 out of 10
Delphix
Delphix
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Synapse AnalyticsDenodo
Likelihood to Recommend
8.2
(9 ratings)
8.8
(6 ratings)
Usability
9.6
(2 ratings)
8.0
(1 ratings)
Performance
-
(0 ratings)
8.0
(1 ratings)
Support Rating
9.6
(2 ratings)
-
(0 ratings)
Contract Terms and Pricing Model
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
Azure Synapse AnalyticsDenodo
Likelihood to Recommend
Microsoft
It's well suited for large, fastly growing, and frequently changing data warehouses (e.g., in startups). It's also suited for companies that want a single, relatively easy-to-use, centralized cloud service for all their data needs. Larger, more structured organizations could still benefit from this service by using Synapse Dedicated SQL Pools, knowing that costs will be much higher than other solutions. I think this product is not suited for smaller, simpler workloads (where an Azure SQL Database and a Data Factory could be enough) or very large scenarios, where it may be better to build custom infrastructure.
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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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Pros
Microsoft
  • Create data pipelines to connect with multiple data workspace(s) and external data
  • Ability to connect with Azure Data Lake (sequentially) for data warehousing
  • Being able to manage connections and create integration runtimes (for onPrem data capture)
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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.
Read full review
Cons
Microsoft
  • It takes some time to setup a proper SQL Datawarehouse architecture. Without proper SSIS/automation scripts, this can be a very daunting task.
  • It takes a lot of foresight when designing a Data Warehouse. If not properly designed, it can be very troublesome to use and/or modify later on.
  • It takes a lot of effort to maintain. Businesses are continually changing. With that, a full time staff member or more will be required to maintain the SQL Data Warehouse.
Read full review
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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Usability
Microsoft
The data warehouse portion is very much like old style on-prem SQL server, so most SQL skills one has mastered carry over easily. Azure Data Factory has an easy drag and drop system which allows quick building of pipelines with minimal coding. The Spark portion is the only really complex portion, but if there's an in-house python expert, then the Spark portion is also quiet useable.
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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.
Read full review
Performance
Microsoft
No answers on this topic
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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Support Rating
Microsoft
Microsoft does its best to support Synapse. More and more articles are being added to the documentation, providing more useful information on best utilizing its features. The examples provided work well for basic knowledge, but more complex examples should be added to further assist in discovering the vast abilities that the system has.
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Denodo
No answers on this topic
Alternatives Considered
Microsoft
When client is already having or using Azure then it’s wise to go with Synapse rather than using Snowflake. We got a lot of help from Microsoft consultants and Microsoft partners while implementing our EDW via Synapse and support is easily available via Microsoft resources and blogs. I don’t see that with Snowflake
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Denodo
Denodo is simple and easy to use. Highly recommended unless you have huge volumes of data
Read full review
Contract Terms and Pricing Model
Microsoft
Basically, the billing is predictable, and this all about it.
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Denodo
No answers on this topic
Return on Investment
Microsoft
  • We have had an improvement in our overall processing time
  • Cost was much lower than most of its competitors
  • Our reporting needs have grown and housing the data here has been great
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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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