MongoDB vs. SAP Adaptive Server Enterprise (ASE), legacy

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
MongoDB
Score 8.0 out of 10
N/A
MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.
$0.10
million reads
SAP Adaptive Server Enterprise (ASE), legacy
Score 8.1 out of 10
N/A
SAP® Adaptive Server® Enterprise (SAP ASE) was a solution that handled massive volumes of data and thousands of concurrent users to accelerate the growth of new data-driven business applications. SAP ASE is a legacy product. It is end of sale (EOS), and reached End of Mainstream Maintenance December 2020.N/A
Pricing
MongoDBSAP Adaptive Server Enterprise (ASE), legacy
Editions & Modules
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
No answers on this topic
Offerings
Pricing Offerings
MongoDBSAP Adaptive Server Enterprise (ASE), legacy
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP
More Pricing Information
Community Pulse
MongoDBSAP Adaptive Server Enterprise (ASE), legacy
Considered Both Products
MongoDB
Chose MongoDB
I just felt MongoDB was easier to use and more cost-effective. Aggregation pipelines are great.
SAP Adaptive Server Enterprise (ASE), legacy
Chose SAP Adaptive Server Enterprise (ASE), legacy
ASE outperforms MS SQL Server, however, MS SQL Server has some nice tools that make MS SQL Server potentially a far better choice for applications that do not need to full power of ASE. HANA of course blows everything away in terms of performance. What I don't understand …
Top Pros
Top Cons
Features
MongoDBSAP Adaptive Server Enterprise (ASE), legacy
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
MongoDB
9.1
38 Ratings
4% above category average
SAP Adaptive Server Enterprise (ASE), legacy
-
Ratings
Performance9.038 Ratings00 Ratings
Availability9.738 Ratings00 Ratings
Concurrency8.638 Ratings00 Ratings
Security8.638 Ratings00 Ratings
Scalability9.438 Ratings00 Ratings
Data model flexibility9.138 Ratings00 Ratings
Deployment model flexibility9.137 Ratings00 Ratings
Best Alternatives
MongoDBSAP Adaptive Server Enterprise (ASE), legacy
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
MongoDBSAP Adaptive Server Enterprise (ASE), legacy
Likelihood to Recommend
9.4
(78 ratings)
10.0
(2 ratings)
Likelihood to Renew
10.0
(67 ratings)
10.0
(1 ratings)
Usability
9.0
(14 ratings)
9.0
(1 ratings)
Availability
9.0
(1 ratings)
-
(0 ratings)
Support Rating
9.6
(13 ratings)
9.7
(2 ratings)
Implementation Rating
8.4
(2 ratings)
-
(0 ratings)
User Testimonials
MongoDBSAP Adaptive Server Enterprise (ASE), legacy
Likelihood to Recommend
MongoDB
If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
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Discontinued Products
High-performance, high-concurrency transactions are well suited for ASE. ASE is lacking some features in my opinion such as history tables, however there are ways to implement them via workarounds or by using Replication Server. I do think the way the ASE parser and optimizer works are far superior to other products as it is a true cost-based optimizer and the order of the tables in the FROM clause does not really matter although a good SQL coder will place the tables in a meaningful order to make the SQL more readable. ASE is good for applications that require high availability and can be used for mission critical systems.
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Pros
MongoDB
  • Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
  • You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
  • Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
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Discontinued Products
  • Easy to setup and maintain
  • Reliable, rarely has major hiccups requiring reboots or crashes
  • Very responsive with complicated queries spanning various tablespaces and hundreds of millions of rows
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Cons
MongoDB
  • An aggregate pipeline can be a bit overwhelming as a newcomer.
  • There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
  • Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
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Discontinued Products
  • Full database encryption - need to utilize external keys vs internal - for better separation of duties.
  • History Tables.
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Likelihood to Renew
MongoDB
I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
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Discontinued Products
Our licenses are perpetual. It is the support that we will be renewing. We will renew because we continue to use and receive value from the product.
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Usability
MongoDB
NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
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Discontinued Products
It does almost everything we need and for the things it doesn't do natively, we are still able to do using other features. For example, natively history tables weren't supported but we were able to create them using triggers.
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Support Rating
MongoDB
Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
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Discontinued Products
Incredibly responsive, saving us countless hours in troubleshooting.
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Implementation Rating
MongoDB
While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
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Discontinued Products
No answers on this topic
Alternatives Considered
MongoDB
We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
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Discontinued Products
Much less effort than Oracle. Much better customer support than Oracle. Roughly equivalent to SQL Server in performance and ease of use. Much better customer service than SQL Server. Different ballpark from IQ. Same customer service.
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Return on Investment
MongoDB
  • Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
  • You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
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Discontinued Products
  • Negative - Costs a lot ... but so do they all.
  • Positive - It does what we need it to do.
Read full review
ScreenShots

MongoDB Screenshots

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