IBM Cloud Databases are open source data stores for enterprise application development. Built on a Kubernetes foundation, they offer a database platform for serverless applications. They are designed to scale storage and compute resources seamlessly without being constrained by the limits of a single server. Natively integrated and available in the IBM Cloud console, these databases are now available through a consistent consumption, pricing, and interaction model. They aim to provide a cohesive…
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Oracle Database
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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.
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Chose IBM Cloud Databases
When launching the system, using multiple services would have been inefficient, so we consolidated it on IBM Cloud Databases. We regularly compared the services provided by IBM Cloud Databases' PaaS with those of other cloud services, but decided that there was no need to go to …
a powerful storm disrupted power supplies and network connections to the data center hosting our critical databases. Despite the external factors causing widespread service disruptions, IBM Cloud Databases demonstrated its exceptional reliability. The auto-failover feature …
UI is easier to use and flexible. AWS EBS is very simple to use and do upgrades and monitor the upgrades easily. I also recommend IBM to implement these.
The reason why I choose IBM Cloud Databases is that the IBM cloud toolset is already being used in other functions of the company and by using IBM Cloud Databases, the other cloud tools are better embedded and integrated. If the company is set to use amazon tools, I would go …
IBM cloud database has a lot of features than amazon dynamodb. This is my personal opinion. But I can't say amazon dynamodb is a bad one. But IBM cloud database has a lot of securities and file storage and backup features than amazon dynamodb. But both are good in their own …
I have used Amazon DynamoDm and compared to IBM Compose, I would say IBM Compose is affordable, easy to use and very fast as well. I would opt IBM Cloud Databases given the two choices
they do a great job at handling our business needs. we like what they offer and how they respond to questions we provide. they do a lot of great things that help our business thrive and stay ahead. we are grateful for how this compnay has responded to our unique requests and …
We already had existing contracts with IBM and Microsoft, so those made the most sense to verify. Both are good options for data storage. Since much of our existing Dbs are IBM related, we stuck with IBM cloud dbs, just so that the SQL code would port well. Additionally, we …
The kubernete service is the front end for the transactions of our core systems and our cloud databases (Postgres and DB2) are the persistence storage.
It is very similar to the way on which we operated before except that we don't have to worry about high availability, backups …
AWS RDS & Oracle OCI. AWS RDS has a wider range of databases but at a higher cost. IBM Compose has fewer databases but is perfect for data related solutions like data warehousing (IBM Db2 AI enabled Warehouse is a GREAT product!)
Cloudant is HIPAA compliant and replicated out of the box. We recommend use of Cloudant vs Mongodb for that purpose. We use Redis only as a session cache.
We have Cassandra database that is currently not available as part of IBM Cloud Databases. We ended up using classic infrastructure IaaS to host our Cassandra server.
I did compare IBM Compose for PostgreSQL with PostgreSQL offerings available from Amazon and Google. IBM Compose was judged easier to provision and maintain.
I'm pleased with the additional more granular provisioning flexibility and more favorable cost structure that has come …
While at the time, Amazon RDS did/does not create Mongo databases, I was able to set up many with PostgreSQL databases with the same ease as IBM Compose. However, IBM compose does seem to offer a more intuitive application control panel. Amazon RDS costs run on a server …
We selected Compose because we initially thought that they would provide great support, and that they would bring encryption at rest within months. That has not materialized yet.
We also thought that the cost, while far from being the lowest, was reasonable.
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 …
Less Appropriate Scenario: 1) Small Scale or Low Budget Projects 2) Organizations with limited expertise in cloud technologies may find the learning curve steep, especially if they are not familiar with the IBM Cloud platform 3) If database requirements are highly dynamic and change frequently, the comprehensive features and management provided by IBM Cloud Databases might be overkill. A more flexible, self-managed solution could be preferable for adapting to rapid changes.
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.
The ease of setup was effortless. For anyone with development experience, a few simple questions such as name and login data will get you set up.
The web application to manage cluster settings, billing settings and even introspect the data was simple and most importantly worked all the time. This can not always be said for web interfaces of other products.
Better cost reports, before just increasing to another tier, thus increasing the price. This is critical for early stage startups, where budget is tight.
Add more data center options. As a comparison, a similar service, Aiven.io has dozen more options than Compose (basically all big cloud providers). We moved from AWS to Digital Ocean, which made us stop using Compose, since Compose forces us to be either on IBM or AWS.
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.
IBM Cloud Databases' pricing structure is easy to understand, and if you choose the right product, you can operate your system at minimal cost. Although there is ample documentation available, there doesn't seem to be a user community running on it, so specific usage know-how and troubleshooting can sometimes take longer than expected.
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.
Support is helpful enough, but we haven't always had questions answered in a satisfactory manner. At one time we realized that Compose had stopped taking database snapshots on its two-per-day schedule, and had in fact not taken one for many days. Support recognized the problem and it was fixed, but the lack of proactive checks and the inability to share exactly what happened has caused us to look elsewhere for production work loads
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.
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
The reason why I choose IBM Cloud Databases is that the IBM cloud toolset is already being used in other functions of the company and by using IBM Cloud Databases, the other cloud tools are better embedded and integrated. If the company is set to use amazon tools, I would go for rds.
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
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.