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
Splunk Enterprise
Score 8.6 out of 10
N/A
Splunk is software for searching, monitoring, and analyzing machine-generated big data, via a web-style interface. It captures, indexes and correlates real-time data in a searchable repository from which it can generate graphs, reports, alerts, dashboards and visualizations.
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 …
Splunk could sort a much better log correlation than it competitors. dynatrace have better dashboards, but its harder to setup and in our case, way too expensive. with Splunk, no one regrets migrating from Qradar. it looks like different generations tools. the correlation is …
Splunk Enterprise has been a well-established solution for many clients for a long time and is a major player in the market. Its track record and performance make it the best choice. Furthermore, its ease of use for developing, using, and managing data makes it the best among …
Splunk Enterprise stands out compared to other solutions due to its broad compatibility and flexibility. It integrates easily with a wide range of infrastructure, network, security, and application products, thanks to its support for multiple data formats and its extensive …
Splunk is the undisputed leader in Security Information and Event Management. Splunk Enterprise Security allows for massive, complex correlation of data across disparate sources. It can be deployed entirely on-premise or in a private cloud, giving total "data sovereignty." …
Splunk Enterprise stacks similarly to IBM's qradar and outperforms both Palo Alto's Panorama and Cisco's Secure Firewall Management Center in regards to storing large amounts of logs and the ability for quick searches. Splunk Enterprise handles queries of data effectively and …
Splunk Enterprise is a very seasoned software , while other comparable software keep on adding new features and keep evolving, Splunk Enterprise has reached a state where new user onboarded doesnt have to request any basic feature or develop modules to simple tasks. Log parsing …
Splunk does a good job at log aggregation and compatibility however, integrations with other products is been a challenge. Especially the pricing can be more competitive to spice up the market and orgs looking to explore AI based logging over traditional practices.
Able to show more than Log data in Splunk views, we tested several plug-ins during a small pilot, and we were able to bring O/S (Win/Unix/Linux) & APM data metrics into the same views as Logged data. I've seen others use it to visualize a wider range of data types, too...better …
While both are market-leading SIEM platforms, they cater to different environments and organization priorities. The choice often comes down to a company's existing infrastructure, integration needs, and long-term security strategy. Deployment and architecture - Splunk offeres …
Splunk features of storing data and ingestion of logs , indexing of data , data analytics make is superior to other tools. Definately there is more improvement requirement in terms of visualisation of data but one stop for all features make splunk better than various other …
Splunk Enterprise was already chosen by our organization to be used across teams. However, the reasoning I know behind is the ability to share events/messages across different message brokers and making onboarding easier to legacy teams by just simple configuration.
Splunk was better in terms of analyzing unstructured data. Also Splunk has had a very good and strong community and is also has a more tried and tested performance. I personally found the dash boarding capability of Splunk better than datadog.
Omnibus was a Linux based tool. Not very easy to sue. End user needs to know Linux commands. Splunk Enterprise is more flexible and ease to use. Splunk Enterprise can generate reports, graphs, data visualization, data validation and much more. Use friendly query language and …
A lot of products have natively inside their own dashboards and or their own logging repositories. And each one is difficult to learn or they're too complex or they're not verbose in the sense that they're not easy to mine the data that you're looking for. So that could be …
Elastic and it's a little bit more cumbersome and a little bit more time consuming. Using Splunk is much easier flow and quicker to utilize to get to the root of a problem.
Cost was major factor which made us choose Splunk Enterprisek. Splunk Enterprise is versatile tool which further helped us to make our decision. Apart from that Managment wish to use something robust hence Splunk Enterprise became there first choice.
Splunk Enterprise is honestly the first tool we used and we cant realistically switch. We have not done any in depth studies or comparisons. We know there are alternatives and we would probably switch if one of them was much more economically viable, but right now we are happy …
You could consider i did use Mysql since i worked with some websites that were using a mysql database. I could not give a side by side comparision since i don't use those like i use the Microsoft SQL , but so far it worked well. I prefer Microsoft SQL due to support and info …
UI of the Microsoft SQL Server makes it easy to use and learn. The better technical support and documentation give it an extra edge over other databases. The Microsoft ecosystem provides additional advantages, as we can seamlessly use other Microsoft products, such as Power …
Microsoft SQL Server is faster and more compatible, but it does cost more, so you're paying for those features. I use the others in many other places where critical transaction processing time and compatibility aren't of great concern.
Microsoft SQL is slower than MySQL and Access but far more feature-rich and reliable. Access is almost obsolete nowadays, so not too many people are considering it, but unless budget or an open-source ethos is a factor, Microsoft SQL is superior in every way. Many commonly used …
Microsoft SQL Server providers a more user friendly experience when it comes to Microsoft SQL Server components management via its unique SQL Server management Studio. It is also a production ready, resilient, highly available and tested database management system (DBMS). The …
The first database application taught when I was in school was Microsoft SQL Server. Microsoft SQL Server was used where I first started, so I had the opportunity to improve myself in MySQL. SQL is also used in my current workplace. It is widely used in very large projects due …
We have a few different DB's in the organization, including: Pervasive, Oracle, Db2, MySQL. Many of them are of limited use for one specific application. These don't really compare to MS SQL server. Oracle is heavy and cumbersome and overkill for smaller apps. Pervasive - …
Microsoft SQL Server is a comprehensive solution as transactional database, data warehouse, analytics, reporting, and ETL. It also integrates with the cloud well (Azure). The ease of use and setup makes this better than Oracle Database because the query syntax is also different …
I think both tools are really powerful and close to each other but since I moved to Europe I realized that most of the companies have been using SQL Server which in my opinion means something. The support from Microsoft I also consider a bit better and you can also find more …
Microsoft was the original creator of the SQL database, and thus, they still rule the market and drive innovation when it comes to data warehousing systems. It's comparable in price and allows you to retain the structured datasets that you lose when you change to a NoSQL …
[Microsoft] SQL Server has a much better community and professional support and is overall just a more reliable system with Microsoft behind it. I've used MySQL in the past and SQL Server has just become more comfortable for me and is my go to RDBMS.
Microsoft SQL Server and Oracle are both extremely powerful and scalable enterprise relational database platforms. Microsoft SQL sets itself apart with its ease of use and licensing and support model. Microsoft is good company to work with and they provide clear and …
It just boils down to why learn anther product when you are going to run across it so seldom. Developers determine what database engine I am going to need so I just tend to pick products for implementation that use a well know product that has lots of support resources …
The most known and widely used competitor of Microsoft SQL is most probably the open-source MySQL. If given the choice I would personally choose MySQL over Microsoft's SQL Server, mainly because it is totally free and open source, but also because it integrates better with …
[Microsoft SQL Server] offers a full solution, Inhouse Applications and hosted application continue to use SQL as backend database. Allows easy creation of development environments and continuous feature release.
All of the platforms have their own benefit. I was not the decision maker in selecting Microsoft SQL Server, as it was already being utilized when I joined the company, 7 years ago. I can say that I feel more comfortable with utilizing this platform as opposed to the other ones.
The free version is very powerfull and easy to install and use for small companies. Going to Professional and Standard, gives you all the support and the flexibility needed. It is known within the Database Administrator crew, and you can get support very easily over the …
Native to Windows and being required for other MS apps puts it above others in terms of usage. If we were not heavily dependent on Microsoft applications or OS, we might have considered other database solutions. It's an expensive solutions but it is a solid reliable solution. …
I was not too impressed with Oracle. Following the manual prohibited installation. They did provide a phone number and explained the manual was wrong and provided me with the correct information with which I was able to install the product. This was awhile back and I do not …
Microsoft SQL Server is one of the fastest RDBMS systems available in the market. Pricing is a bit on the higher side but all the features it provides pretty much justifies it. It can be integrated with a large number of frameworks thus enabling to work on multiple frameworks …
Microsoft SQL Server is still the industry standard for the type of development we do, and the types of applications that we use. Almost every developer or analyst we hire has at least a reasonable grounding in the use of SQL servers, and it is almost universally compatible …
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.
I'm liking the newer products, and I'm looking forward to how they integrate with the overall product when they come together. Just log in and be able to query a large number of systems for similar issues or a unique one. That is a great fit for Splunk Enterprise, looking for a simple case or a simple String or something of that nature across multiple machines. It's a great fit for that to identify issues or particular software, whatever your scenario is, String, to find it across any particular server or group of servers, so that you can update or do a deployment or whatever it is you're looking to do.
Microsoft SQL Server is ideal for highly available SQL workloads by using SQL Server Always On availability groups. Microsoft SQL Server might not be appropriate for solutions which require a very low resource footprint, since it requires significant CPU cores and RAM memory as well as high IOPS, always depending on the usage scenario.
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.
We are using Splunk extensively in our projects and we have recently upgraded to Splunk version 6.0 which is quite efficient and giving expected results. We keep track of updates and new features Splunk introduces periodically and try to introduce those features in our day to day activities for improvement in our reporting system and other tasks.
I think it is unlikely that sql server has disappointed someone, it is likely that someone will come initially discouraged if the needs and problems that occur are very challenging, but definitely have a SQL oriented system means having a solid base to work and on which maintain the their data securely
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.
Splunk usability could be a little more friendly on correlations and log analysis. not for end users, but for the tech team, sometimes is hard to find good professionals to set up integrations and new dashboards when needed. For the high-level management, it can be overwhelming to read Splunk dashboards.
SQL Server mostly 'just works' or generates error messages to help you sort out the trouble. You can usually count on the product to get the job done and keep an eye on your potential mistakes. Interaction with other Microsoft products makes operating as a Windows user pretty straight forward. Digging through the multitude of dialogs and wizards can be a pain, but the answer is usually there somewhere.
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.
Splunk maintains a well resourced support system that has been consistent since we purchased the product. They help out in a timely manner and provide expert level information as needed. We typically open cases online and communicate when possible via e-mail and are able to resolve most issues with that method.
We managed to handle most of our problems by looking into Microsoft's official documentation that has everything explained and almost every function has an example that illustrates in detail how a particular functionality works. Just like PowerShell has the ability to show you an example of how some cmdlet works, that is the case also here, and in my opinion, it is a very good practice and I like it.
The online course was simple clear and described the main capabilities of the solution. There is also an initial module that can be done for free so anyone can familiarize themselves with the functionality of this solution. On the other hand, however, there could be more free online courses. Maybe even with a certificate, this would broaden the group of people who are familiar with the platform while increasing familiarity with the solution itself.
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
Other than SQL taking quite a bit of time to actually install there are no problems with installation. Even on hardware that has good performance SQL can still take close to an hour to install a typical server with management and reporting services.
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
A lot of products have natively inside their own dashboards and or their own logging repositories. And each one is difficult to learn or they're too complex or they're not verbose in the sense that they're not easy to mine the data that you're looking for. So that could be anything from the native logging that you find in other Cisco products. It's easier to use Splunk to draw the data that you're looking for as opposed to going to the individual's products themselves to get the logs that you're looking for.
Microsoft SQL is slower than MySQL and Access but far more feature-rich and reliable. Access is almost obsolete nowadays, so not too many people are considering it, but unless budget or an open-source ethos is a factor, Microsoft SQL is superior in every way. Many commonly used tools, like Crystal Reports, support it.
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.
Generation of metrics against compromised accounts based on location and time of the year. It helped in launching phishing education campaign before hitting the most vulnerable month of the year.
It helped in neutralizing vulnerable word-press sites across the campus, leading to the decrease of account compromise.
Increased accuracy - We went from multiple users having different versions of an Excel spreadsheet to a single source of truth for our reporting.
Increased Efficiency - We can now generate reports at any time from a single source rather than multiple users spending their time collating data and generating reports.
Improved Security - Enterprise level security on a dedicated server rather than financial files on multiple laptop hard drives.