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
PostgreSQL
Score 8.7 out of 10
N/A
PostgreSQL (alternately Postgres) is a free and open source object-relational database system boasting over 30 years of active development, reliability, feature robustness, and performance. It supports SQL and is designed to support various workloads flexibly.
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SAP HANA Cloud
Score 8.9 out of 10
N/A
SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.
We have used Microsoft SQL Server for some smaller projects where the vendor only supports that environment. But whenever there is a choice, we use Oracle Database 12c. Students access our systems at all …
Even if is quite expensive, Oracle Database 12c is way better than most of its competitors thanks to Oracle experience and skills on database technologies. Oracle Database has always guaranteed the best data recovery and fault management policies, thanks to Oracle's RAC …
Not at my current employer, but previously I have evaluated and used all Microsoft SQL Server, Amazon Web Services (AWS), PostgreSQL and MySQL. All of them had their own advantages and disadvantages. SQL Server had great built in tools like SSIS and SSRS that integrated well …
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 …
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
Administrator
Chose Oracle Database
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 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 …
Oracle is serving a different segment with respect to those above. Till now, we have stuck with Oracle and continued to support our internal customers. Other DBs are serving a few targeted applications by a few application teams.
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 was not my choice for Oracle 12C, but during the years I've learned on the advantages. If I would choose the Oracle 12C, I'll take it for the possibility to start from Standard and to go to enterprise based on a business case of use. I really like the possibility to have the …
We're still in evaluation but based on cost and affordability vs. performance for our specific needs (running a $500M retail e-commerce shop) Oracle 12c loses. Licensing and support of Enterprise Edition would equate to a significant percentage of our annual revenue and we …
Well, Oracle is a solid database and as I mentioned, is for the first quartile of project complexity. The other solutions mentioned databases have more specific goals and respond to reduced complexity. For example MySQL or PostgreSQL are widely used for startups. On the other …
Being open source, PostgreSQL offers the highest performance among its peers. It has a strong support community where we can find solutions to most of the queries. It's suited for GIS (Geospatial) based applications, making it unique from its peers. There are fewer databases …
In my experience using all of these products over many years, PostgreSQL is better than any of them in reliability, performance, productivity, cost, scalability and interoperability across operating systems.
In this case, Postgres is preferred because it handles large data sets and requires fewer hardware resources than its competitor, MySQL. Compared to PostgreSQL, Microsoft products are excellent, but the installation process for MS SQL is lengthy. PostgreSQL has an advantage …
PostgrPostgreSQL as a transaction db engine against oracle and sql server works well. TPM wise compared to MySQL and MariaDB, on an evan scale. SQL function supports, far outweighs compared to MySQL and MariaDB. PG Extensions allow for flexibiltity and scalability. Allows …
As I have been telling all along, PostgreSQL is much cheaper compared to the other RDBMS solutions. It has got better performance with some of the application services that we are using and is easy to maintain. Overall, we are satisfied migrating to PostgreSQL database clusters.
Although the competition between the different databases is increasingly aggressive in the sense that they provide many improvements, new functionalities, compatibility with complementary components or environments, in some cases it requires that it be followed within the same …
Postgres stacks up just [fine] along the other big players in the RDBMS world. It's very popular for a reason. It's very close to MySQL in terms of cost and features - I'd pick either solution and be just as happy. Compared to Oracle it is a MUCH cheaper solution that is just …
Both Oracle and MS-SQL database option fell when we evaluated the effect on our overall solution cost to our customers. customer examine the overall cost of the solution they buy, selecting Oracle or MS-SQL would leave less money in our pockets. We are Linux based solutions and …
PostgreSQL is the proper tool when data consistency matters and other BASE or document-based databases are simply improper. I think PostgreSQL has a fantastic system of slony replication, triggers, and other data maintenance functionality that other databases generally don't …
We were using PostgreSQL prior to SAP HANA. The biggest difference that is noticed from an end-user standpoint is the speed with which database transactions take place. Because of the growing scale of our application, we really needed something faster. PostgreSQL just wasn’t …
Oracle Database performance was not that up to that mark to analyze data and do analysis. Also Oracle we had to indexing, fragmentation to keep its health good.
Really, it is appropriate for any kind of company. For everyone to be successful and make wise business decisions, effective data analytics are essential. Any research analytics firm can benefit greatly from it. It won't be of much use to a modeling agency; instead, a business …
SAP HANA surpasses Oracle thanks to its breadth, better usability in my opinion, and is being adopted by an increasing market share of our clients regardless of industry. The enterprise-level of the tool is particularly impactful to handling their large data sets and …
SAP HANA is the Next-Gen platform or database for real-time analytics and applications. It helps various businesses and organizations to analyze business operations that are based on Big Data (a huge volume of data) in real-time at the speed of lightning, even sub-seconds. It’s …
The choice of the SAP HANA solution was mainly determined by the choice of the new company ERP, which having been SAP, naturally led to the choice of its DB solution.
We found HANA is more flexible than ORACLE in terms of DB management and administration. We also used oracle DB replication for DC DR data syncing and HANA is more convenient and flexible for DR data replication.
SAP HANA is better than all the databases, it gives the power and speed to analyze billions of records, access data on cloud, easiest conversion and migration from any database to HANA. Easy to manage and configure.
Similar to other big DBMS, but better or equal at stability and technical maintenance. Better or equal at documentation. There is room for improvement at SQL path analyzing.
SAP HANA has better agility and data processing capabilities compared to Oracle. It can process a large amount of data in a short amount of time. This saves a lot of time making the process efficient and effective. When it comes to space, the storage management provided by SAP …
If we did not use SAP HANA, we would have used an Oracle 12c database. We selected HANA since it was recommended for Suite on HANA. So far SAP HANA has proven to be a great fit for our systems that are on Suite on HANA. All future systems we implement will be on SAP HANA.
SAP HANA uses the sheer power of in memory analytics based on columnar compression of data in the back-end resulting in an overall decreased footprint of the data resulting in a paradigm shift. The traditional RDBMS database would rely heavily on additional indexes to retrieve …
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.
PostgreSQL is best used for structured data, and best when following relational database design principles. I would not use PostgreSQL for large unstructured data such as video, images, sound files, xml documents, web-pages, especially if these files have their own highly variable, internal structure.
I think if you have a large organization, it's probably the product and the marketplace to go to. We're a large management consulting firm operating in four to seven countries. And generally speaking, I think that's the size and the scope where it scales best. I can't speak to smaller companies, but I can't see smaller companies leveraging the benefits as much as a larger organization can.
Real-time reporting and analytics on data: because of its in-memory architecture, it is perfect for businesses that need to make quick decisions based on current information.
Managing workload with complex data: it can handle a vast range of data types, including relational, documental, geospatial, graph, vector, and time series data.
Developing and deploying intelligent data applications: it provides various tools for such applications and can be used for machine learning and artificial intelligence to automate tasks, gain insights from data, and make predictions.
Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change
Lack of clarity on licensing is one major challenge
Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4
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 would rate our likelihood of renewing at 9/10. SAP HANA Cloud has proven to be a highly reliable and scalable data platform that consistently delivers strong performance. Its seamless integration with our overall SAP landscape, combined with improved analytics and real-time data capabilities, makes it a core part of our long-term technology strategy.
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.
Postgresql is the best tool out there for relational data so I have to give it a high rating when it comes to analytics, data availability and consistency, so on and so forth. SQL is also a relatively consistent language so when it comes to building new tables and loading data in from the OLTP database, there are enough tools where we can perform ETL on a scalable basis.
It is very useful solution which provides you speedier data processing, real-time analytics. It helps you manage diverse data types. It also offers you excellent disaster management. It has user friendly interface which helps you navigate system and transactions easily and perform task smoothly.
The data queries are relatively quick for a small to medium sized table. With complex joins, and a wide and deep table however, the performance of the query has room for improvement.
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.
There are several companies that you can contract for technical support, like EnterpriseDB or Percona, both first level in expertise and commitment to the software.
But we do not have contracts with them, we have done all the way from googling to forums, and never have a problem that we cannot resolve or pass around. And for dozens of projects and more than 15 years now.
However, I am not the right person to answer this as we have another department to handle support and contact the service provider for any support required. Although i will say that they are the quick respondent and knows how to handle querry of the customers and provide quick and better support.
The online training is request based. Had there been recorded videos available online for potential users to benefit from, I could have rated it higher. The online documentation however is very helpful. The online documentation PDF is downloadable and allows users to pace their own learning. With examples and code snippets, the documentation is great starting point.
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
Professional GIS people are some of the most risk-averse there are, and it's difficult to get them to move to HANA in one step. Start with small projects building to 80% use of HANA spatial over time.
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
Although the competition between the different databases is increasingly aggressive in the sense that they provide many improvements, new functionalities, compatibility with complementary components or environments, in some cases it requires that it be followed within the same family of applications that performs the company that develops it and that is not all bad, but being able to adapt or configure different programs, applications or other environments developed by third parties apart is what gives PostgreSQL a certain advantage and this diversification in the components that can be joined with it, is the reason why it is a great option to choose.
I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of capability present in the HANA platform.
Easy to administer so our DevOps team has only ever used minimal time to setup, tune, and maintain.
Easy to interface with so our Engineering team has only ever used minimal time to query or modify the database. Getting the data is straightforward, what we do with it is the bigger concern.
