We performed a comparison between Oracle Data Integrator (ODI), SAP Data Hub, and Zapier based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."Most of the functions are very straightforward, like the data model, mapping, package, and load plan. Thus, a new user could get started very fast."
"The most valuable feature is Data movement."
"The product has an ELT approach."
"It is an ETL tool, which does the extract, transform, and load."
"It can integrate with more recent databases like Cassandra, Hadoop, and other more recent Big Data databases."
"The initial setup is easy."
"Integration with all systems is easy with Oracle Data Integrator, and it is easy to use. I have not used any other product, but with Oracle Data Integrator, we can easily connect to an ERP system, an SAP system, or a cloud application."
"In our DW/BI solution, ODI is the main tool to integrate the data in a daily batch way."
"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."
"The most valuable feature is the S/4HANA 1909 On-Premise"
"Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitting. That's the best part and an advantage. I have used another product where they used to capture the data first and then they used to process it and give it. In Data Hub, it is in reverse. They process it first and give it, and then they put their own manipulations. They lead in terms of business functions. No other solution has business functions already implemented to perform business analysis. They have a lot of prebuilt business functions for machine learning and orchestration, which we can use directly to get an analysis out from the existing data. Most of the data is sitting as enterprise data there. That's a major advantage that they have."
"Webhooks are the most valuable feature of Zapier."
"The connection between Facebook lead forms and MailChimp integrations is the most valuable feature."
"The most valuable feature of Zapier is it saves me time doing repetitive tasks."
"With the previous CRM we were using – the Google Ads landing pages we had – we were collecting leads manually. That process was not efficient and took a sales team a lot of time to insert these leads manually. Currently, the process is smooth and we use Zapier to collect the leads for us."
"Zapier luckily has a wide range of integrations, I would say."
"Zapier is a really good tool for connecting multiple different platforms and data sources. For example, with Quickbase, I can easily integrate data from other sources like AWS or task-tracking platforms such as ClickUp or Asana."
"Zapier handles everything under the sun that you would think you need in automation. It is the most mature integration platform and service on the market."
"Zapier is user friendly and makes it easy to integrate different tools. It has a drag and drop functionality which makes it easy to connect environments."
"The initial setup is complex, especially if you also have to install a console."
"It lacks a suite of tools suitable for fully processing data and moving it into decision support warehouses."
"At present, when multiple steps are executed in parallel in the load plan and errors occur, the error handling mechanism does not function correctly."
"The performance of the user interface is in need of improvement."
"ODI could improve the ease of use. There is a steep learning curve to use the solution."
"ODI could improve by being more user-friendly. Informatica, which is also an ETL tool, similar to ODI, but Informatica is very user-friendly, easy to use, and simple to integrate, compared to ODI. ODI has many features, put them all together, and sometimes we get confused about which ones to use, which ones not to use."
"The interface of ODI could be improved. For example, navigating and finding functions can be difficult. For example, you have to know which step you need to go to look at where your job status is. The logical step is a bit complex compared to other tools. It's much easier to get a graphical view, but with ODI, it's graphical, plus you have to know all the other pieces that fit around it. You have to think about the logical and physical aspects."
"An area for improvement in Oracle Data Integrator (ODI) is real-time integration. Currently, my company has a workaround to implement real-time integration, an area on which Oracle must focus more. Real-time integration should be easier in Oracle Data Integrator (ODI). Another area for improvement in Oracle Data Integrator (ODI) is integration with more publishers and subscribers rather than just database integrations."
"In 2018, connecting it to outside sources, such as IoT products or IoT-enabled big data Hadoop, was a little complex. It was not smooth at the beginning. It was unstable. It took a lot of time for the initial data load. Sometimes, the connection broke, and we had to restart the process, which was a major issue, but they might have improved it now. It is very smooth with SAP HANA on-premise system, SAP Cloud Platform, and SAP Analytics Cloud. It could be because these are their own products, and they know how to integrate them. With Hadoop, they might have used open-source technologies, and that's why it was breaking at that time. They are providing less embedded integration because they want us to use their other products. For example, they don't want to go and remove SAP Analytics Cloud and put everything in Data Hub. They want us to use SAP Analytics Cloud somewhere else and not inside the Data Hub. On the integration part, it lacks real-time analytics, and it is slow. They should embed the SAP Analytics Cloud inside Data Hub or support some kind of analysis. They do provide some analysis, but it is not extensive. They are moreover open source. So, we need a lot of developers or data scientists to go in and implement Python algorithms. It would be better if they can provide their own existing algorithms and give some connections and drop-down menus to go and just configure those. It will make things really quick by increasing the embedded integrations. It will also improve the process efficiency and processing power. Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this. In terms of technology and performance, it is a little slow as compared to Microsoft and other data orchestration products. I haven't used other products, but I have read about those products, their settings, and the milliseconds that they do. In Azure Purview, they say that they can copy, manage, or transform the data within milliseconds. They say that they can transform 100 gigabytes of data within three to five seconds, which is something SAP cannot do. It generally takes a lot of time to process that much amount of data. However, I have never tested out Azure."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
"The company has everything offshore."
"Being able to share Zaps and organize them with teammates would allow sharing and refining scenarios and even combining steps that require different people's credentials."
"System-to-system is fine, but when it comes to system-to-user, where Zapier is helping to communicate to a user, that's a one-way communication. If that user has to perform some action on that notification, the action isn't handled by Zapier. So there's no way to orchestrate that and it's very cumbersome."
"Zapier needs to improve in the same way most RPA solutions should, such as Robocorp, Make, or UiPath. They are not good at helping you find the connections that you need for the problem that you have. For example, if need something on Instagram. I'm going to have to do research for hours to be able to find the components or the app, which is going to do what I need it to do. It makes it difficult to use the system when you don't know what to use."
"The user interface for Zapier could be improved. It also takes some time to sync the data between different environments."
"The pricing of the solution is quite expensive."
"Zapier needs more YouTube or video tutorials or more training for people. That would help a lot. In particular, Zapier should have documentation for every connector. Its documentation needs to be more detailed and visual."
"The solution does not work properly when we apply filters and we get errors."
"Some recent changes to the solution have made it bulky and not as intuitive to use as it previously was."
