MySQL is a popular open-source relational and embedded database, now owned by Oracle.
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Oracle Database
Score 8.3 out of 10
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Oracle Database, currently in edition 23ai, is a converged, multimodel database management system. It is designed to simplify development for AI, microservices, graph, document, spatial, and relational applications.
$0.05
per hour
SAP Datasphere
Score 8.5 out of 10
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SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. SAP Datasphere enables users to distribute mission-critical business data — with business context and logic preserved — across the data…
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Pricing
MySQL
Oracle Database
SAP Datasphere
Editions & Modules
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Oracle Base Database Service - Standard
$0.0538
per hour
Oracle Base Database Service - Enterprise
$0.1075
per hour
Oracle Base Database Service - High Performance
$0.2218
per hour
Standard Edition
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Enterprise Edition
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Personal Edition
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Offerings
Pricing Offerings
MySQL
Oracle Database
SAP Datasphere
Free Trial
No
Yes
Yes
Free/Freemium Version
No
Yes
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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SAP Datasphere is available as a subscription or consumption-based model. The SAP Datasphere capacity unit (CU) offers an adaptable approach to pricing that enables any workload on any hyperscaler. The number of CUs required is determined by the unique workload, with the ability to tailor the combination of required services within SAP Datasphere utilizing a flexible tenant configuration. The services that contribute to CU consumption are the core application (compute and storage), data lake, BW bridge, data integration, and data catalog (crawling and storage).
MySQL offers some of the features as Oracle Database 12c, however, there are many crucial ones that are missed. Features such as OLAP, really make Oracle Database 12c a clear winner here. We use both databases in our organization for separate reasons, MySQL for prototyping, and …
Of course compare to no SQL databases it's slower but there is a completely different use case for them... In my opinion it is better than PostgreSQL, it's easier to configure and has the same performance, or approximately the same. Of course Oracle Database is a way bigger …
MySQL was the first option due to the existing knowledge, and after using other databases, it also appeared to be the most predictable in terms of costs
Rest all the big brand databases incure high licensing cost giving almost the same value that MySQL is giving being an open source database. Other databases like Oracle, MS SQL servers need extensive resource along with a huge team to manage those databases. However, thats not …
As I have been commenting in our company, we have solved our performance problems and responses obtaining speed in the queries occupies less disk space, in addition to its price and all the tools of great Scope it possesses.
Having used both PostgreSQL and Microsoft SQL Server, I can tell that MySQL performs admirably in a Linux setting. When compared to Microsoft SQL Server, the extra benefit is the minimal or nonexistent licence fee. We find that MySQL's programming interface is particularly …
Before MySQL, our team was exploring and evaluating different options for a good RDMS (relational database management system) service. We explored Oracle, MSSQL, and Google BigQuery. Most of these are costly and not easy to maintain in the long run in terms of price especially …
MySQL has most of the functionality of other, very costly, alternatives without the big price tag. It is open-source with improvements coming at a relatively good rate. It is not as robust as those other offerings and can have some challenging points at scale for large …
Microsoft SQL can be considered as an enterprise level software since it is recommended for large businesses. Microsoft SQL has some unique categories like big data processing, DBMS, etc. whereas MySQL is not capable of handling such features. I guess this is how these both …
I would choose Oracle 11g, 12c for more complex ventures which require financials and complex logic. I would choose MySQL for simpler applications which simply need to interface data to a backend. I selected MySQL in this case because it is free and much simpler to install—it …
Familiarity: With MySQL, I know what to expect, and that goes a long way. Also, since it adheres fairly close to SQL '92, It's relatively easy to construct queries, views, etc. without a steep learning curve. Also, RAM usage is important (this is true of any RDBMS …
We have used Oracle as our clinical databases that stores patient records. In this project we didn't used Oracle but separately built MySQL based data infrastructure as this is an independent scientific research project. Oracle is great overall, with most of functionalities …
I've used both Oracle and MySQL. I like both database technologies. Both of them provide great solutions. Each one has their own benefits based on the requirement and right environment. The point is to find the right environment to use and compare price/performance/scalability.
MySQL does not provide anywhere near the user interface or features that Oracle Database 12c provides. Building REST endpoints on MySQL is a much more challenging process and integrating it with a web app is much more complicated than building an ORDS endpoint within the Oracle …
We currently use all of the above database technologies in different applications, but where the application is mission-critical we use Oracle. Microsoft SQL Server is good for canned applications such as back-office or HR. MySQL does not have the same level of logging or …
IBM DB2 is extremely heavy as compared to Oracle and is expensive for the price we pay for the product. MySQL doesn’t have most of the features that Oracle has.
Oracle is placed in a good spot against its competitors. It has advantages over its competitors in its legacy stability and high availability. A common engine to handle relational, JSON, Vector, and graph data makes it more cost-effective. Given all the good features, the …
The Oracle database was selected before I started working on the project, so I can't tell the reasons behind the choice. However, it was recognized as the best suited for holding several million records for related entities and was preferred over NoSQL options.
Oracle 12c is good for all business applications but still consider Microsoft SQLServer for internal/other applications to save on cost.
Verified User
Consultant
Chose Oracle Database
Oracle Database is best in business, consistent, and robust. Even the standard version is sufficient for the best performance. The main thing is I have never seen corruption and in my opinion, it is best when used with Linux.
Verified User
Engineer
Chose Oracle Database
Microsoft SQL is just as stable and almost as sellable with a much lower cost of ownership (staff and licensing). But as our primary application doesn't support Microsoft SQL we had to license Oracle.
Exadata is expensive and we decided to switch to 12c for the sake of consolidating and keep up with Oracles initiative to move towards cloud. Maybe in the future.
Oracle is more of an enterprise-level database than Access and SAP Adaptive Server Enterprise isn't getting developed much (some people wonder how close it is to end of life) but SQL Server is miles ahead of Oracle IMO in terms of user experience and comparable in terms of …
Oracle 12c is able to support daily operations that might be required. Of course, Exadata is a powerful machine that is definitely fit for big scale but requires high demand of both CPU, IO, and memory processing. Also the one engineered system saves lots of time to build the …
It's the Oracle Support that beats everything else, and a solid contract. Also, all the other features that support Oracle are way ahead of other products.
Oracle completed solution and support is of cause better than open source solutions, we also choose other NoSQL database and Graph database, to address some very particular business use cases
It's easy to scale an Oracle database compared to any others, it's easy to manage many Oracle databases together with lots of administrative and security features.
1. The commercial application required an Oracle database running at the back end 2. Existing Oracle expertise makes it easy to manage an Oracle database 3. Confidence in Oracle databases: No need to worry about performance, scalability.
For some implementations in my company, Oracle Database was selected because all the support, experience, features, continuing development, etc that the product and Oracle's company has been providing so far, but also, it was selected by the system's company that my …
Although Oracle Database is a great tool as well but considering the product features of SAP Data Warehouse Cloud, it was clear SAP is the future and provides the on point features required for a growing company and a ever scaling business with real time capabilities of …
Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for …
MySQL is best suited for applications on platform like high-traffic content-driven websites, small-scale web apps, data warehouses which regards light analytical workloads. However its less suited for areas like enterprise data warehouse, OLAP cubes, large-scale reporting, applications requiring flexible or semi-structured data like event logging systems, product configurations, dynamic forms.
We migrated from NoSQL to an Oracle database. One of the reasons was robust backup and recovery options available in the Oracle database, which provide zero data loss. A transactional database like Oracle is a better fit for our use case than NoSQL. On a large scale, deployment was evaluated as a cheaper option than the NoSQL engine. This conclusion came even after considering Oracle license is expensive.
SAP Datasphere is well suited for scalable cloud based data integration scenarios which also opens up the doors for AI driven insights which are much harder to achieve with on-prem data warehouses. Considering the licensing model of SAP Datasphere being based on consumption driven capacity units cost can be a big consideration for organizations with large volumes of data that can be a pre-requisite for data mining and AI use cases. So this can be a bottleneck or not so well adopted scenario for SAP Datasphere.
SAP Data Warehouse Cloud offers free trial for 90 days with free 128 GB of storage and 64 GB memory.
Availability of self-service data modeling and analytics on SAP Data Warehouse Cloud enables users to access and analyze data without getting support from the IT team.
Without zero coding while collecting, connecting, analyzing and modeling data, it saves us time and operational costs of partnering with external IT support experts.
Learning curve: is big. Newbies will face problems in understanding the platform initially. However, with plenty of online resources, one can easily find solutions to problems and learn on the go.
Backup and restore: MySQL is not very seamless. Although the data is never ruptured or missed, the process involved is not very much user-friendly. Maybe, a new command-line interface for only the backup-restore functionality shall be set up again to make this very important step much easier to perform and maintain.
For teaching Databases and SQL, I would definitely continue to use MySQL. It provides a good, solid foundation to learn about databases. Also to learn about the SQL language and how it works with the creation, insertion, deletion, updating, and manipulation of data, tables, and databases. This SQL language is a foundation and can be used to learn many other database related concepts.
There is a lot of sunk cost in a product like Oracle 12c. It is doing a great job, it would not provide us much benefit to switch to another product even if it did the same thing due to the work involved in making such a switch. It would not be cost effective.
We are moving into using SAP datasphere heavily and replacing all of the SAP HANA native calc view logic to the sap datasphere graphical view which will reduce the legacy SAP BW data warehouse. Also need some more features such as debugging, sql preview and prompts enhancements so that we can generate the reports.
I give MySQL a 9/10 overall because I really like it but I feel like there are a lot of tech people who would hate it if I gave it a 10/10. I've never had any problems with it or reached any of its limitations but I know a few people who have so I can't give it a 10/10 based on those complaints.
Many of the powerful options can be auto-configured but there are still many things to take into account at the moment of installing and configuring an Oracle Database, compared with SQL Server or other databases. At the same time, that extra complexity allows for detailed configuration and guarantees performance, scalability, availability and security.
It is one of the best tools and a boon to Logistics teams across the globe. One tends to actually process warehousing data so smoothly and the way demonstration is made while in programs it makes it user friendly. The Inventory touch points that one identify is simply awesome and is best part.
We have never contacted MySQL enterprise support team for any issues related to MySQL. This is because we have been using primarily the MySQL Server community edition and have been using the MySQL support forums for any questions and practical guidance that we needed before and during the technical implementations. Overall, the support community has been very helpful and allowed us to make the most out of the community edition.
1. I have very good experience with Oracle Database support team. Oracle support team has pool of talented Oracle Analyst resources in different regions. To name a few regions - EMEA, Asia, USA(EST, MST, PST), Australia. Their support staffs are very supportive, well trained, and customer focused. Whenever I open Oracle Sev1 SR(service request), I always get prompt update on my case timely. 2. Oracle has zoom call and chat session option linked to Oracle SR. Whenever you are in Oracle portal - you can chat with the Oracle Analyst who is working on your case. You can request for Oracle zoom call thru which you can share the your problem server screen in no time. This is very nice as it saves lot of time and energy in case you have to follow up with oracle support for your case. 3.Oracle has excellent knowledge base in which all the customer databases critical problems and their solutions are well documented. It is very easy to follow without consulting to support team at first.
I would greatly acknowledge the services of Sap Data [warehouse Cloud] because we were struggling before its arrival where we used to get manual data connections and this used to consume a lot of time but after its use, we now are able to connect data easily saving a lot of time and finances.
Overall the implementation went very well and after that everything came out as expected - in terms of performance and scalability. People should always install and upgrade a stable version for production with the latest patch set updates, test properly as much as possible, and should have a backup plan if anything unexpected happens
MongoDB has a dynamic schema for how data is stored in 'documents' whereas MySQL is more structured with tables, columns, and rows. MongoDB was built for high availability whereas MySQL can be a challenge when it comes to replication of the data and making everything redundant in the event of a DR or outage.
Because of a rich user base and support for any critical issue, this is one of the best options to choose. In case the project has a TCO issue, it can compromise and choose Postgres as the best alternative. SQL server is also good and easy to code and maintain but performance is not as good as the Oracle
Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for users, and it is widely up for data quality, data governance, and data discovery.
Despite the pricing model being expensive for small businesses, it provides decent features and capabilities for organizations of different sizes and it's an appropriate investment in today's business environment where there is constant pressure to build a scalable and flexible analytics service
Ever since we implemented SAP Data Warehouse Cloud, we have been able to reduce the additional costs of hiring third-party service providers by incorporating professional services offered by the vendor.
Preserving data quality has enhanced governance on data by having a single source that is accessible to every business user via self-service capabilities.
Operational cost is lowered by connecting data in one integrated solution hence making it easy to access information without having to keeping logging to other applications. Additionally, no external IT support is needed since SAP Data Warehouse Cloud has no-coding modeling tools.
SAP Data Warehouse Cloud has enabled every business user to understand different data by transforming data to real insights.
