MariaDB is an open-source relational database made by the original developers of MySQL, supported by the MariaDB Foundation and a community of developers. The community states recent additional capabilities as including clustering with Galera Cluster 4, compatibility with Oracle Database, and Temporal Data Tables, allowing one to query the data as it stood at any point in the past.
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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.
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MariaDB is perhaps the best open source database server available, combining a wide range of supported platforms, MySQL compatibility, a low footprint, and reasonably high performance. If you have cost constraints, or limited server resources, I recommend MariaDB, particularly …
MS SQL Server is like a BlackBox in many cases. Honestly we did not need advanced functionality that SQL server offers, just a plain DBMS. MariaDB is easier to manage, cross operating system, "lighter" with better performances than SQL server. We went with MariaDB Platform even …
It did not always compete against these technologies. Most of the time, it was complementing these databases for certain use cases to help provide a much more complete database. This makes more users want to use it to explore new solutions that help users. This is our target …
We tried Percona also, but we sometimes having trouble with it and on some cases it having lesser performance than MariaDB. MySQL is the the facto standard, we use this only in scenario that it cannot be replaced by MariaDB. MSSQL is used only if the client ask for Windows …
We were already wanting to migrate away from Cassandra for reasons of stability, cost (more servers were needed), and our data storage model. We evaluated PostgreSQL but passed on it due to being more familiar with MariaDB. Also we needed something that could do multi-region …
MariaDB is very similar to MySQL, but MariaDB has more alternative database engines and ideas for the future where MySQL is offers the stable and more mature version (if not stale).
(With and without RAC) My company migrated from Oracle to MariaDB. While MariaDB has some limitations (if you are used to Oracle) it has been much easier and cheaper (in several ways) to operate and has more than met my company's needs.
MariaDB is the clear winner compared to any other database I've used. Reliable, scale-able, affordable--you name the consideration and MariaDB is the winner.
MariaDB is much easier to set up and maintain compared to PostgreSQL makes it much faster to launch our application and relatively easier to upgrade its version so we can make sure the installed version is up to date with the latest patch, which is especially important if we …
MySQL is still a great solution, but MariaDB offers a more extensive set of free features than are available for MySQL. We also feel more confident that MariaDB will remain free to use over time. End users haven't noticed much of a difference, but from a development cost …
MariaDB stacks up the the competition just fine. Due to is ture open source nature we do not have to worry about licencing and spending money on nothing. Moreover, MariaDB does everything that we need to get done. We can run data that is a million rows or many smaller projects …
MariaDB provided the best fit for our business in upgrading legacy systems which were originally designed to use MySQL as a backend. By using MariaDB, no changes to the overall systems needed to be altered, reducing the time needed to upgrade everything. Other solutions …
Thanks to MySQL compatibility, everything you've learned while using it can be utilized when using MariaDB. Therefore it's a better choice than MongoDB and MSSQL if you're looking to switch away from MySQL. MariaDB is also a very mature and stable product, unlike MongoDB that …
MariaDB is cheaper than Oracle Database and MSSQL server. MySQL owned by Oracle. So MariaDB has too many forks, but enough people in the community. PostgreSQL has a larger community and better administration. However, it s not like MariaDB w/ Galera. MariaDB is not good for …
We know others DB alternatives like MySQL, Microsoft SQLServer, PostgreSQL. We selected MariaDB because it offer advanced features like active-active cluster, with no costs and easy to learn. With MariaDB was easy to migrate ours applications that use MySQL, with no …
We selected MariaDB over MySQL because of their true open source model and performance optimizations. It was also helpful that it is a drop-in replacement for MySQL so there was no need to update our various software drivers.
MariaDB costs much less than SQL Server to acquire and maintain. In comparison to Cassandra, it gives us operational use and helps in Agile development.
The environment I work in is somewhat unique in that we use both MySQL and MongoDB. However, each is used for specific purposes that the other is not well suited for. MongoDB is not a relational database like MySQL, so it serves as the perfect place to dump key bits of data for …
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 …
Both Couchbase and MongoDB are document-oriented NoSQL databases, so they have very similar features. While they do have some fundamental differences in terms of how they scale, shard, etc. the one key reason why we went with MongoDB is its availability and support from the …
The flexible structure underlying MongoDB's construction is not found in other competitors; the ability to easily change the structure without affecting other stored documents. It is very ideal for projects that you cannot predict that the structure will change this way. Of …
Implementing new features for application becomes simpler with MongoDB since you don't need to run database migration scripts just to for example add new fields to database only to store some extra data. This is especially good for the deployment phase. Only new version of …
MongoDB is a robust and scalable db which offers a lot of cool features out of the box. Being open sourced and backed by a great community with developer tools like mongo compass , it was a no-brainer to go for it. It has connectors in almost all programming languages and is a …
I would say Cassandra is better than MongoDB since it has the backing of Facebook to it. Its inherent properties like versioning put it into the other category of columnar databases, but it's one of the NoSQL databases which you should definitely consider for your organization …
This tool is only capable of reading real-time data very smoothly. The transition was also pretty easy and quick. Syntax is also very easy and comfortable to learn and use.
The main reason for selecting is that it works very fast under the Intellijet module environment and we …
In our early development days we weighed NoSQL databases like MongoDB with RDBMS solutions like MySQL. We were more familiar with MySQL from past experience but also were wary of painful data migrations that slowed down development iterations and increased the risk of outages …
Snowflake and Redshift are much more mature and have been around longer. MongoDB is definitely much less expensive and if you are in a startup, this is an almost for-sure option. Redshift can be slow and Mongo is much faster. However, losing the relational database aspect could …
It's very fast and easiest to use. Many companies are using this nowadays. It's helped to complete many software products very quickly so the year income has increased compared with last years. Many programmers are now leaning this tool as back end developers so that we changed …
MongoDB is our go-to database solution for any project, and the more we work with it the more we love it. Some say that NoSQL is pointless... Our developers wholeheartedly disagree, because they love working with it. Though both NoSQL and SQL have their purposes, in most …
Your default choice should not be MongoDB in my opinion. Most user-facing systems are relational by nature so a well known and reliable SQL database would be easier to maintain and simpler to develop long term. If you highly value speed of development go with firebase. If you …
It does not belong to certain cloud platforms. MongoDB is an independent program that works with any cloud platform including Amazon Web Services and the Google Cloud Platform. For companies who want to maintain a cloud agnostic structure, MongoDB is a great choice for NoSQL …
MongoDB and Cassandra are both database system from the NoSQL family. MongoDB can be used in lots of use cases while Cassandra has a specific usage. There are some features that MongoDB provides efficiently while Cassandra doesn't and vice-versa. Like, you can update the data …
We tend to choose MongoDB when we're faced with a particular situation: we know that we need a NoSQL database in general, and want an open-source implementation that allows us to prevent against platform lock-in. Amazon's new DocumentDB product even allows us to choose to use …
Our installation scenario is a MariaDB cluster composed of 3 nodes to achieve high availability in the service and in this way the application that accesses the backend (MariaDB) is always working and is not down at any time.
To achieve high performance of the application when accessing the database, a MariaDB MaxScale has been mounted that acts as a proxy for queries to the database.
MongoDB [is] great at storing JSON data grouped into "collections". In this format, you can store any JSON documents and conveniently categorize them by collections. The JSON document contained in MongoDB is called binary JSON or BSON and, like any other document in this format, is unstructured. Therefore, unlike traditional DBMS, any kind of data can be stored in collections, and this flexibility is combined with the horizontal scalability of the database. It should be noted that MongoDB does not have links between documents and “collections” (this is partially compensated by the Database Reference - links in the DBMS, but this does not completely solve the problem). As a result, a situation arises in which there is a certain set of data that is not related to other information in the database, and there is no way to combine data from different documents. In SQL systems, this would be an elementary task.
MariaDB does well with PHP or Python (django) in a web environment. Developers are able to work quickly.
MariaDB is extremely well documented and has a gigantic support community. If you need ask a question on how to do things you can go to many placces online and find answers quickly.
MariaDB is fast! Queries with tens of thousands of rows are quick.
MariaDB is highly compatible with Oracle's MySQL. Basically the same thing but more open and with a brighter future.
With MariaDB it is so easy to import and export data, and backups are a cinch. This saves me so much time as compared to other RDBMS.
Easy to learn. When I picked up MongoDB for the first time, I had little background in database management or modeling. If you have a background in javascript (and JSON)... then you can figure out how to use MongoDB pretty fast.
Fast performance.
It's relatively easy to set up in certain environments because there are lots of ready-made solutions out there.
There's a lot of support in the existing ecosystem for it —, especially in the node.js realm.
Query syntax is pretty simple to grasp and utilize.
Aggregate functions are powerful.
Scaling options.
Documentation is quite good and versioned for each release.
Driver Support - Some third party applications use database drivers that cause unexplained slowness with MariaDB. This can be worked around by using the MySQL drivers, but it's not clear what causes the problem in the first place.
Support - While online communities are helpful in diagnosing problems, there isn't as much professional documentation/support available for MariaDB as some of the other major database options.
Data Visualization - It would be helpful if there were more built in options for analyzing statistics and generating reports.
MongoDB is one of the most famous non-relational databases in the world, there are famous active projects that use this database. I think that the same company that develops the database gives you the online induction totally free is something that really is very positive. Accounts with a first-class support to be able to relate the correct implementation of the database, in addition to teaching you the best practices to optimize your projects, I believe that with this decision it is more than obvious which is the best decision at the time of seeing with which database to work.
MariaDB is very usable and stable to be used in production settings as an alternative to MySQL. The shortcomings of SQL are present but well understood in the community, and if the decision were to be made again, I would choose MariaDB over MySQL on future projects.
It is one of the reasons why we prefer it to store documents in a JSON-style format, to access the desired document very quickly regardless of its size, to be readable by human eyes, and to be easily scalable and manageable.
Yes, I would recommend MariaDB Platform support because they answer very fast and with detailed information. They also help you with the design of the storage infrastructure, not only with the maintenance problems. On the other hand, this service is a bit expensive.
I have reached multiple times to the MongoDB community for the help and they have provided each and easy solution for every problem. Over the internet and on stack overflow many people responds over the challenges. Now this tool is very much used in every company and projects so internally many people are there to give a 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.
It did not always compete against these technologies. Most of the time, it was complementing these databases for certain use cases to help provide a much more complete database. This makes more users want to use it to explore new solutions that help users. This is our target and how [we] work with MariaDb.
The environment I work in is somewhat unique in that we use both MySQL and MongoDB. However, each is used for specific purposes that the other is not well suited for. MongoDB is not a relational database like MySQL, so it serves as the perfect place to dump key bits of data for quick retrieval later. This is something we can't easily do with MySQL. On this smaller database, MongoDB also lets us retrieve data more quickly with its fast and efficient querying.
MariaDB has saved us enormously on licensing compared to our previous DB software vendor.
In service, it has enabled us (speaking as the internal DB team here) to provide better service to the other teams in the company as well as our customers, with less staff.
The level of hardware required for adequate performance, in our environment, has been much lower. Those savings have been substantial, above and beyond savings on licensing and DBA staffing levels.
We can make more open and flexible systems due to its easy adaptation to new evolutions in web applications.
In the latest versions it offers support for different transactions and we could carry out real tests related to the concurrency of the application.
MongoDB allows you to have distributed clusters, which improves the speed of the queries by reducing the latency that exists between the database cluster and the service that executes the query.