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 SQL Anywhere
Score 7.0 out of 10
N/A
SAP®
SQL Anywhere® solutions aim to deliver enterprise-level data management and
synchronization capabilities. The solutions are designed to run in remote and
mobile environments on a wide range of small-footprint devices and in
real-world conditions.
N/A
Pricing
MongoDB
SAP SQL Anywhere
Editions & Modules
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
No answers on this topic
Offerings
Pricing Offerings
MongoDB
SAP SQL Anywhere
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Fully managed, global cloud database on AWS, Azure, and GCP
—
More Pricing Information
Community Pulse
MongoDB
SAP SQL Anywhere
Features
MongoDB
SAP SQL Anywhere
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
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.
SAP SQL Anywhere is better than not using a database, let's be clear there! However, I wouldn't pick it as my first or even second or third choice. I'd recommend looking at other options. Largely, it appears less powerful both in terms of its robustness and general performance and in its implementation of SQL. The standard Sybase utilities provided are lacking in basic features, and the interactive SQL utility is quite horrendous. However, the great thing is it is an ODBC-compliant SQL-compliant relational database.
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.
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.
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.
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.
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.
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.
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.
I worked with Oracle for years during my career. I wouldn't select SQL Anywhere to implement a global ATM system with tens of thousands of concurrent connections, but SQL Anywhere is much easier to use and deploy and works very well in workgroup settings. Query performance often exceeds some Oracle versions without having to rely on database tuning.
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
Skilled/experienced resources are less prominent than Microsoft SQL Server or even Oracle, or MySQL, so finding solutions and assistance, if needed, takes more time than it would with other platforms
You will need to find a good SQL query tool by yourself because the Sybase Central / Interactive SQL utilities are lacking in many basic features, and just generally have a bad user interface
