MongoDB vs. Percona Server for MySQL vs. SAP SQL Anywhere

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.

Incentivized

Percona Server for MySQL covers 100% of our requirements in terms of our OLTP traffic and provides the High Availability levels required through a typical primary and 2 replica's using semi-synchronous replication. We're able to scale our writes using sharding, but a true distributed database would be a great option on top of this. In terms of OLAP traffic, we leverage columns stores available, but Percona Server fairs well

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.

Incentivized

• 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.

Incentivized

• Faster than other server solutions
• Installation and configuration process is easy from the user's standpoint
• Easy to learn and good support

Incentivized

• Good performance with relatively large data sets - its cost-based query optimizer is particularly robust
• ANSI SQL compliant
• Supports T-SQL
• Scales well between the desktop (single user) and client/server installations supporting 50-1000 users

• 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.

Incentivized

• Better documentation
• A better UI

• I think it should be more user friendly for non-technical users.
• More functional functionalities should be added to the object explore when working with a table to transform data/manipulate data.

Incentivized

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.

Incentivized

Ease of use, relationship to existing software's used in house and familiarity with the product

Incentivized

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.

Incentivized

It is easy to install and use. Using it along with Percona Monitoring and Management makes it even easier to use.

Incentivized

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.

Incentivized

We are using opensource so we have not used customer 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.

Incentivized

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.

Performance and stability sets Percona Server for MySQL apart from the rest. Percona embraces the upstream version and contributes towards the upstream version making MySQL stronger on two fronts and thus having a much larger community. Many quality contributions have been made by Percona into the base code. Percona provides great tools to support Percona Server for MySQL and this makes the monitoring and management easier

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

• At the performance level, it maintains and even improves other open-source databases such as MariaDB or some commercial ones such as Oracle.
• If we compare it with MySQL, we could have up to 50% improvement in performance.
• For some small companies or startups, the price of the complete solution and the support can be a bit high.

Incentivized

• 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

Incentivized