We performed a comparison between Oracle Multitenant and SQL Server based on real PeerSpot user reviews.
Find out in this report how the two Relational Databases Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."You can scale the solution as needed."
"The database becomes pluggable. Inside this container is called a pluggable database and each application contains this pluggable database inside Multitenant. We can then share resources like control files, memory, etc. This lets you stop and start each application without impacting the others. This resource sharing is the most valuable feature"
"The feature that I like on Multitenant is the ease - it is very easy for my team to run the database."
"The most valuable features are the speed and ease of use."
"Maintaining databases is a valuable feature for us."
"The best thing about Oracle Multitenant is its ability to consolidate multiple databases into one engine."
"It's easy to use and works great."
"Multitenant has a container database with many pluggable databases."
"Very easy to use, and it's very democratic in the enterprise."
"The support from Microsoft has been good."
"The solution offers very high performance."
"The most valuable features are programmability and reliability."
"The solution can be used for a host of applications."
"Excel integration is one of its most valuable features."
"It is a stable product, and it runs seamlessly. It is not complex."
"The replication feature, user interface, reporting services, and notification services are really good. They are providing SQL profiler and SQLCMD as their integrated software, so we don't find it difficult to integrate any of our third-party applications with MS SQL because all of them support MS SQL very clearly."
"Technical support could be faster."
"The user interface for this solution can be made better."
"That said, Oracle in general doesn't invest in their UI for any of their applications. If we're talking about the dashboard or other user experience, there is room for improvement. I'm talking about on premises. The cloud version has started to improve."
"While the product is overall excellent, it is quite expensive."
"The solution lacks a GUI for commands."
"This solution is a bit complicated when collecting from containers - that feature should be a bit better."
"It would be beneficial to include this solution with Oracle Enterprise, but Oracle charges additional fees for it."
"It can be complicated to scale up the solution, but it's scalable."
"The way to make cursors and manage raw data in rows can be improved. Currently, the way to construct or build these cursors is very hard, and you can waste memory. You need a highly skilled person to make it more efficient. It can also have support for Cubes, which is the organization of data in different dimensions by using MDX languages."
"Price could be cheaper, and access to reporting tools should be better."
"The security features of the solution could be better."
"Their datatypes need improvement."
"SQL Server is an expensive solution"
"The way SQL Server pivots data could be improved. For example, I would like built-in comma-separated pivot and unpivot functions."
"The pricing of the product could be better."
"We have had problems implementing a data warehouse using SQL Server."
Oracle Multitenant is ranked 16th in Relational Databases Tools with 15 reviews while SQL Server is ranked 1st in Relational Databases Tools with 260 reviews. Oracle Multitenant is rated 8.4, while SQL Server is rated 8.4. The top reviewer of Oracle Multitenant writes "Databases are automatically upgraded and cloning of pluggable databases requires just one command ". On the other hand, the top reviewer of SQL Server writes "Easy to use and provides good speed and data recovery". Oracle Multitenant is most compared with Oracle Database, MySQL, IBM Db2 Database, SAP HANA and MariaDB, whereas SQL Server is most compared with MariaDB, SAP HANA, Oracle Database, LocalDB and IBM Db2 Database. See our Oracle Multitenant vs. SQL Server report.
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Hi Akin,
First, both DBs manage your relational data on several operating systems (Linux, Windows Server, ...) and as Cloud Services. The newer architecture of Oracle tries to support you in a mixed environment where you can distribute a large DB over your own servers and cloud services. But as we always saw in the past, if a new feature of Oracle is good, Microsoft will follow.
So your main questions should be:
-How big is your DB? The bigger, the more I suggest Oracle.
-Are you in a mixed world (Cloud and your own servers)? If Cloud is Azure, I think SQL Server is a good choice.
-Is the price a topic? The liscence rules of Oracle are sometimes complicated.
Hope this helps a little.
Hi Martin, it is no marketing rumor.
Oracle is the number one in terms of big databases and scalability. But as I wrote, Microsoft is always one step behind.
So if the price is no question and you need the best on the market, Oracle is the choice. But to use the full power, you need someone who knows how to plan and set up the whole environment!
The planning starts with a look at your amount of data, the decision of what response time is necessary, what is the yearly increase of the data,...
I worked on a project with several million transactions a day and we tested Oracle and Microsoft with this result: Oracle was the better. But we must use a lot of tuning features of Oracle and optimize the hardware environment for this task. Shortly, Oracle has a lot of 'screws' to tune, but if you don't know exactly what to turn on, it will fail.
But it is similar to SQL Server. Additional hardware is often not the solution.
Hi Akin,
Without going into the technical details; did you have a look a the pricing of MSSQL and Oracle databases?
I always hear that the Oracle database is better than MS SQL. But I never got to test this myself.
What I do know is that when I tell a customer the Oracle pricing, they are usually going in another direction.
You must have a very good functional reason to go for Oracle considering the price difference. As @Patric Gehl suggested: a very big database is good but for a good reason.
Kind regards,
Martin Zwarthoed