NGINX, a business unit of F5 Networks, powers over 65% of the world's busiest websites and web applications. NGINX started out as an open source web server and reverse proxy, built to be faster and more efficient than Apache. Over the years, NGINX has built a suite of infrastructure software products o tackle some of the biggest challenges in managing high-transaction applications. NGINX offers a suite of products to form the core of what organizations need to create…
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Oracle Data Integrator (ODI)
Score 7.6 out of 10
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Oracle Data Integrator is an ELT data integrator designed with interoperability other Oracle programs. The program focuses on a high-performance capacity to support Big Data use within Oracle.
Nginx is well-suited for any web server scenarios, such as web applications, backend or reverse proxy for both application and HTTP requests, and distribution. It is less appropriate for Windows-based applications that run directly on a Windows Server host. In any case, it is very easy to manage, through separate conf files for each application or site you want to host with it.
Oracle Data Integrator is well suited in all the situations where you need to integrate data from and to different systems/technologies/environments or to schedule some tasks. I've used it on Oracle Database (Data Warehouses or Data Marts), with great loading and transforming performances to accomplish any kind of relational task. This is true for all Oracle applications (like Hyperion Planning, Hyperion Essbase, Hyperion Financial Management, and so on). I've also used it to manage files on different operating systems, to execute procedures in various languages and to read and write data from and to non-Oracle technologies, and I can confirm that its performances have always been very good. It can become less appropriate depending on the expenses that can be afforded by the customer since its license costs are quite high.
Oracle Data Integrator nearly addresses every data issue that one can expect. Oracle Data Integrator is tightly integrated to the Oracle Suite of products. This is one of the major strengths of Oracle Data Integrator. Oracle Data Integrator is part of the Oracle Business Intelligence Applications Suite - which is highly used by various industries. This tool replaced Informatica ETL in Oracle Business Intelligence Applications Suite.
Oracle Data Integrator comes with many pre-written data packages. If one has to load data from Excel to Oracle Database, there is a package that is ready available for them - cutting down lot of effort on writing the code. Similarly, there are packages for Oracle to SQL, SQL to Oracle and all other possible combinations. Developers love this feature.
Oracle Data Integrator relies highly on the database for processing. This is actually an ELT tool rather than an ETL tool. It first loads all the data into target instance and then transforms it at the expense of database resources. This light footprint makes this tool very special.
The other major advantage of Oracle Data Integrator, like any other Oracle products, is a readily available developer pool. As all Oracle products are free to download for demo environments, many organizations prefer to play around with a product before purchasing it. Also, Oracle support and community is a big advantage compared to other vendors.
Customer support can be strangely condescending, perhaps it's a language issue?
I find it a little weird how the release versions used for Nginx+ aren't the same as for open source version. It can be very confusing to determine the cross-compatibility of modules, etc., because of this.
It seems like some (most?) modules on their own site are ancient and no longer supported, so their documentation in this area needs work.
It's difficult to navigate between nginx.com commercial site and customer support. They need to be integrated together.
I'd love to see more work done on nginx+ monitoring without requiring logging every request. I understand that many statistics can only be derived from logs, but plenty should work without that. Logging is not an option in many environments.
ODI does not have an intuitive user interface. It is powerful, but difficult to figure out at first. There is a significant learning curve between usability, proficiency, and mastery of the tool.
ODI contains some frustrating bugs. It is Java based and has some caching issues, often requiring you to restart the program before you see your code changes stick.
ODI does not have a strong versioning process. It is not intuitive to keep an up to date repository of versioned code packages. This can create versioning issues between environments if you do not have a strong external code versioning process.
It is maturing and over time will have a good pool of resources. Each new version has addressed the issues of the previous ones. Its getting better and bigger.
This tool is really easy to use and configure. Consumes very less system resources. It is highly modular and configurable. You can easily use it with other tools like certbot for SSLs. You can configure basic security with configuration and headers
Oracle Data Integrator (ODI) is a reliable ELT tool, supporting data loads from various heterogenous sources. It is effective both for structured as well as non structured data. Its works well for creating translations and transformation and also aids in the data quality checks when combined with an MDM solution. Troubleshooting issues can be of a challenge if it is not configured properly.
Community support is great, and they've also had a presence at conferences. Overall, there is no shortage of documentation and community support. We're currently using it to serve up some WordPress sites, and configuring NGINX for this purpose is well documented.
I have found that [NGINX] seems to perform better throughout the years with less issues although I've used Apache more. I would definitely recommend [NGINX] for any high volume site and I've seen this to usually be the case from most provided web hosts who will pick [NGINX] over alternatives
I have used Trifacta Google Data Prep quite a bit. We use Google Cloud Platform across our organization. The tools are very comparable in what they offer. I would say Data Prep has a slight edge in usability and a cleaner UI, but both of the tools have comparable toolsets.
By using Nginx, we can host multiple web services on a single server, keeping our infrastructure costs lower.
Nginx maintains our HTTPS connections, allowing us to keep our promise to our customers that their data is safe in transit.
Due to Nginx's extremely low failure rate, our web addresses always return something meaningful, even when individual services go down. In sense, this means we are "always online" and allows us to maintain brand and support our customers even in the face of catastrophe.