Azure Cosmos DB vs. Azure Synapse Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Cosmos DB
Score 8.4 out of 10
N/A
Microsoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.N/A
Azure Synapse Analytics
Score 7.6 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)
Pricing
Azure Cosmos DBAzure Synapse Analytics
Editions & Modules
No answers on this topic
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)
Offerings
Pricing Offerings
Azure Cosmos DBAzure Synapse Analytics
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 Cosmos DBAzure Synapse Analytics
Considered Both Products
Azure Cosmos DB
Chose Azure Cosmos DB
Because we often use Microsoft products for large corporate projects and other customer projects, and compatibility and integration are important to us, we used this platform, which in addition to very high security, has a very good response speed, also, building modern …
Azure Synapse Analytics

No answer on this topic

Top Pros
Top Cons
Features
Azure Cosmos DBAzure Synapse Analytics
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Azure Cosmos DB
9.8
7 Ratings
11% above category average
Azure Synapse Analytics
-
Ratings
Performance10.07 Ratings00 Ratings
Availability10.07 Ratings00 Ratings
Concurrency10.07 Ratings00 Ratings
Security10.07 Ratings00 Ratings
Scalability10.07 Ratings00 Ratings
Data model flexibility9.07 Ratings00 Ratings
Deployment model flexibility10.07 Ratings00 Ratings
Best Alternatives
Azure Cosmos DBAzure Synapse Analytics
Small Businesses
IBM Cloudant
IBM Cloudant
Score 9.5 out of 10
Google BigQuery
Google BigQuery
Score 8.7 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 9.5 out of 10
Snowflake
Snowflake
Score 9.0 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 9.5 out of 10
Snowflake
Snowflake
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Cosmos DBAzure Synapse Analytics
Likelihood to Recommend
10.0
(7 ratings)
8.2
(9 ratings)
Likelihood to Renew
7.6
(4 ratings)
-
(0 ratings)
Usability
8.8
(2 ratings)
9.6
(2 ratings)
Support Rating
9.2
(2 ratings)
9.6
(2 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
Azure Cosmos DBAzure Synapse Analytics
Likelihood to Recommend
Microsoft
Like any NoSQL database, whether it's MongoDB or not, it's best suited for unstructured data. It's also well suited for storing raw data before processing it and performing any type of ETL on the data.
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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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Pros
Microsoft
  • Scalable Instantly and automatically serverless database for any large scale business.
  • Quick access and response to data queries due to high speed in reading and writing data
  • Create a powerful digital experience for your customers with real-time offers and agile access to DB with super-fast analysis and comparison for best recommendation
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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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Cons
Microsoft
  • Expensive, so be careful of the use case.
  • We had a thought time migrating from traditional DBs to Cosmos. Azure should provide a seamless platform for the migration of data from on-premises to cloud.
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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.
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Likelihood to Renew
Microsoft
It's efficient, easy to scale, and works. We do have to do a bit of administration, but less now than when we started with this a couple of years ago. Microsoft continues to improve its self-management capability.
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Microsoft
No answers on this topic
Usability
Microsoft
It has very good compatibility and adaptability with other APIs and developers can safely create new apps because it is compatible with various tools and can be easily managed and run under the cloud, and in terms of security, it is one of the best of its kind, which is very powerful and excellent.
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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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Support Rating
Microsoft
Microsoft is the best when it comes to after-sales support. They have a well-structured training and knowledge base portal that anyone can use. They are usually quick to respond to cases and are on point for on-call support. I have no complaints from a support standpoint. Pretty happy with the support.
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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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Alternatives Considered
Microsoft
Cosmos DB is unique in the industry as a true multi-model, cloud-native database engine that comes with solutions for geo-redundancy, multi-master writes, (globally!) low latency, and cost-effective hosting built in. I've yet to see anything else that even comes close to the power that Cosmos DB packs into its solution. The simplicity and tooling support are nice bonus features as well.
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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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Contract Terms and Pricing Model
Microsoft
No answers on this topic
Microsoft
Basically, the billing is predictable, and this all about it.
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Return on Investment
Microsoft
  • It's made managing raw data much easier
  • It provides a way to maintain raw data at a low cost
  • It's easy to massage the data
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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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ScreenShots