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
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SAP Business Data Cloud
Score 8.6 out of 10
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SAP Business Data Cloud is a fully managed SaaS solution that unifies and governs all SAP data and seamlessly connects with third-party data—giving line-of-business leaders context to make even more impactful decisions.
Oracle stands out among other databases in terms of performance, availability, reliability, and security. It is capable of handling massive loads and heavy OLTP transactions. Oracle database is feature rich and provides various tools for analytics, monitoring and performance …
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 …
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.
I have selected Oracle database from other databases as this database is relational database which stored the data in structural and tabular format which is better than any other databases which I have used in my carrier. Also MongoDB is no SQL database where we can use SQL …
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.
In my opinion, Oracle Database is highly reliable, has better performance with large databases and little to no maintenance once everything is setup. Also, recovery of the Oracle database is much simpler and easier.
Oracle Machine Learning is completely different when compared to HCM or Hyperion. I can say that the data collected from HCM or hyperion enterprise can be used on Oracle Machine Learning to perform an analysis to predict the future business.
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.
Oracle Database is among the easiest to integrate with, program against, have a reliable cluster with DR, and has the most understood and well-documented databases. It suits really well if the software shop is primarily Java-based, and deals with large volumes of data with a …
Azure databases is another cloud database that I had used in some .net platform based projects. Both of the cloud database services are identical in nature of usage but very different in scope of usage. But this doesn't mean that the Oracle Database Cloud Service stacks up …
Performance is much better than other RDBMS. Oracle supports better transaction management. It has wide range of features and we don't need to use different types of databases to finish an application requirement.
Most are complements to enhance the benefits of the Oracle database. I selected and evaluated Oracle databases because it is the most used suite in the organization and it is important for me to mention strengths and points to improve.
Sorry this product was not selected by me, but was a legacy install that was upgraded. I see the value in the product, however, I was not involved in the selection process.
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 …
We use SQL Server for other modules of our MLFF Tolling System, so I work on a daily basic with both database engines. Oracle is recognized and distinguished by scalability and performance, ensuring a secure environment to host our critical data that comes from multiple …
We use IBM DB2 in AS400 to handle part of our accounting system and our legacy ERP. We are migrating all functionalities to Oracle Database 12c because it is more secure and stable. We have some applications using SQL Server but we want to handle those systems in it because at …
The reason is pretty straight forward. Majority of our data originates from SAP source systems like SAP S4 private cloud, S4C public cloud and Bydesign. So SAP Business Data Cloud stands tall when compared to other solutions and i honestly believe this is best suited solution …
With a S4 backend a lot of core functionality is made simpler - authorization, data types, currency conversion. In particular if the front end choice is SAP Analytics Cloud.
The lack of a good connection from Power BI to the datasphere application (instead of the underlying HANA …
Business data cloud is one tool that takes care of extraction, modelling, and AI ML use case in the landscape, whereas in other tools I was using multiple services to take care of each of the functions, hence BDC is a cool tool im action for our use cases. Low low-code option …
BDC is a significant development over Datasphere in the sense that it unifies not only the transaction and olap systems but also other olap systems which may have existed in the landscape. Pce migration and availability of data from and 7.5 or B4 HANA system as a data product …
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 Business Data Cloud is suited mainly for SAP data integration. We could able to easily consolidate the data from S4 and service cloud V2 system. SAP Business Data Cloud enables realtime data replications. We could able to leverage the AI core features. As my previous data warehousing skill is from SAP BW, I am missing some basic features comparing to BW. Master data manual maintenance, Time dependant masterdata, language independent text is also not straightforward.
SAP Business Data Cloud help in arranging data at one single place reducing cost of maintenance for multiple platforms and governance.
Once data is arranged , it can be modelled as needed using Datasphere and in data bricks for AI needs
Data fabric provided in SAP Business Data Cloud helps in reducing man efforts to design models needed for PNL reporting as data fabric helps in quickly designing the solution with great accuracy.
It is very likely to use this 12c (or next version) of Oracle Database. Nothing close to it in the marketplace in terms of performance, reliability and overall database management efficiency. If Oracle did one thing really good - it is it's OLTP Database I must say.
The platform provides strong values in terms of centralized data management, scalability, and integration with the SAP ecosystem. It supports enterprise reporting, governance and analytics effectively. While there is always room for improvement in usability and cost transparency, the long term benefits in performance, data consistency and cross functional collaboration and expanding within the organization
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.
SAP Business Data Cloud offers robust capabilities that enable me to analyze data and extract valuable business insights. It creates a single source of truth with seamless SAP integrations that enable faster, more reliable reporting. It has freed my team from complex engineering efforts by simplifying data analytics, giving us more time to focus on generating insights.
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.
support team is generally responsive and knowledgeable, and most issues are addressed within acceptable timelines. Documentation and standard guidance are helpful for common scenarios.
One of the best training session I attended and they covered most of the topics and answered all our questions. participants joined from different regions, infact they all had a different questions and it was different thoughts from all of then and helped to learn better. Though I was on travel, I could able yo attend the session.
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
I have done implementation of models in traditional bw and Using BDC. The integration of BDC with S4 hana for creating sap data products is seamless and reduces lot of implementation effort. The intelligent app feature is BDC also eases the implementation effort. If i have to compare the previous world with new BDC, implementation effort is largely saved
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
The reason is pretty straight forward. Majority of our data originates from SAP source systems like SAP S4 private cloud, S4C public cloud and Bydesign. So SAP Business Data Cloud stands tall when compared to other solutions and i honestly believe this is best suited solution for the warehousing and reporting to our organization.
Our product's ability to monitor the Oracle database has generated significant revenue from only a few customers, totaling $1mn.
An Oracle account helps analyze the patches and changes going into it, enabling the team to enhance the product and update it more quickly. It reduced the effort by more than 50%.
Being a closed-source code DBMS, it is difficult to ascertain the exact exploits of the vulnerability to provide patches to customers and requires reverse engineering.