We performed a comparison between Oracle GoldenGate and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The initial setup is straightforward. It doesn't take too much time or effort to implement the solution."
"The most valuable feature of Oracle GoldenGate is its cost-effectiveness compared to other solutions like Oracle Data Guard, especially for Oracle-to-non-Oracle replication scenarios."
"They've recently improved the ease of implementation."
"The CDC feature is interesting."
"It works best with Oracle."
"You can put data together from a few databases into one database or the other way, from one database into several. It transforms data in real-time."
"With Oracle GoldenGate, you can easily sync the tables and put them into the ODS database."
"It scales well. You can either have it working in with the databases, or you can move it outside. It's got the ability to parallelize up, so you can certainly extract and replay the data from your databases in parallel. So it does have horizontal scalability. That is probably one of its stronger features, the ability just to automatically parallelize the replay and playing of data to allow to scale to large volumes."
"I can use Python, which is open-source, and I can run other scripts, including Linux scripts. It's user-friendly for running any object-based language. That's a very important feature because we live in a world of open-source."
"Provides a good open source option."
"One of the most valuable features is the ability to create many API integrations. I'm always working with advertising agents and using Facebook and Instagram to do campaigns. We use Pentaho to get the results from these campaigns and to create dashboards to analyze the results."
"Pentaho Data Integration is quite simple to learn, and there is a lot of information available online."
"The solution has a free to use community version."
"Lumada has allowed us to interact with our employees more effectively and compensate them properly. One of the cool things is that we use it to generate commissions for our salespeople and bonuses for our warehouse people. It allows us to get information out to them in a timely fashion. We can also see where they're at and how they're doing."
"I can create faster instructions than writing with SQL or code. Also, I am able to do some background control of the data process with this tool. Therefore, I use it as an ELT tool. I have a station area where I can work with all the information that I have in my production databases, then I can work with the data that I created."
"I absolutely love Hitachi. I'm one of the forefront supporters of Hitachi for my firm. It's so easy to integrate within our environments. In terms of being able to quickly build ETL jobs, transform, and then automate them, it's really easy to integrate throughout for data analytics."
"It would be better for Oracle Golden Gate Studio GUI to include other licensed products (i.e. Veridata or others)."
"The problem with GoldenGate is it is very complex to use. You need heavyweight skills to use it."
"GoldenGate is expensive. It's costly because this solution is unique in our market. The GoldenGate Cloud Service is cheaper than the on-premise solution."
"Troubleshooting issues is not always the easiest. It should be easier to troubleshoot. Their support can also be improved. They don't read your problem statement and waste a lot of time. GoldenGate for big data is actually a separate license. It is sort of a separate product, but it might fall underneath your GoldenGate category. If we're talking about big data, its interaction with big data sources is poorly documented."
"The solution, in general, should be easier to use, with less need to perform workarounds within the system."
"Some issues regarding stability need to be resolved."
"The main problem of Oracle GoldenGate is that sometimes, the processes get abended. Data consistency is also challenging."
"Regarding improvements, the focus should be on addressing data quality issues and minimizing delays, particularly in Oracle databases. The technical support should be improved as well. Additionally, in terms of features, it would be great if the solution could support APIs. The support is not friendly. They don’t respond on time."
"A big problem after deploying something that we do in Lumada is with Git. You get a binary file to do a code review. So, if you need to do a review, you have to take pictures of the screen to show each step. That is the biggest bug if you are using Git."
"Lumada could have more native connectors with other vendors, such as Google BigQuery, Microsoft OneDrive, Jira systems, and Facebook or Instagram. We would like to gather data from modern platforms using Lumada, which is a better approach. As a comparison, if you open Power BI to retrieve data, then you can get data from many vendors with cloud-native connectors, such as Azure, AWS, Google BigQuery, and Athena Redshift. Lumada should have more native connectors to help us and facilitate our job in gathering information from these new modern infrastructures and tools."
"I would like to see support for some additional cloud sources. It doesn't support Azure, for example. I was trying to do a PoC with Azure the other day but it seems they don't support it."
"As far as I remember, not all connectors worked very well. They can add more connectors and more drivers to the process to integrate with more flows."
"There is not a data quality or MDM solution in the Pentaho DI suite."
"I have been facing some difficulties when working with large datasets. It seems that when there is a large amount of data, I experience memory errors."
"Although it is a low-code solution with a graphical interface, often the error messages that you get are of the type that a developer would be happy with. You get a big stack of red text and Java errors displayed on the screen, and less technical people can get intimidated by that. It can be a bit intimidating to get a wall of red error messages displayed. Other graphical tools that are focused at the power user level provide a much more user-friendly experience in dealing with your exceptions and guiding the user into where they've made the mistake."
"The testing and quality could really improve. Every time that there is a major release, we are very nervous about what is going to get broken. We have had a lot of experience with that, as even the latest one was broken. Some basic things get broken. That doesn't look good for Hitachi at all. If there is one place I would advise them to spend some money and do some effort, it is with the quality. It is not that hard to start putting in some unit tests so basic things don't get broken when they do a new release. That just looks horrible, especially for an organization like Hitachi."
More Pentaho Data Integration and Analytics Pricing and Cost Advice →
Oracle GoldenGate is ranked 6th in Data Integration with 47 reviews while Pentaho Data Integration and Analytics is ranked 16th in Data Integration with 48 reviews. Oracle GoldenGate is rated 8.2, while Pentaho Data Integration and Analytics is rated 8.0. The top reviewer of Oracle GoldenGate writes "Performs real-time replication without data loss, but we cannot do much automation". On the other hand, the top reviewer of Pentaho Data Integration and Analytics writes "It's flexible and can do almost anything I want it to do". Oracle GoldenGate is most compared with AWS Database Migration Service, Qlik Replicate, Quest SharePlex, Azure Data Factory and Oracle Data Integrator (ODI), whereas Pentaho Data Integration and Analytics is most compared with Azure Data Factory, SSIS, Talend Open Studio, Oracle Data Integrator (ODI) and Informatica PowerCenter. See our Oracle GoldenGate vs. Pentaho Data Integration and Analytics report.
See our list of best Data Integration vendors.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
There are two products I know about
* TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cubes . price approx 40K$, works with tables
. Attunity (Bought by Qlik) : technology agnostic , nice web interface , expensive > 100K€. Works with transaction logs
There are many other pure ETL tools
* ERWIN has a nice one ,
Depends upon the technologies being used. If you're using Oracle for both OLTP and OLAP then you'll get a lot of value from an Oracle solution.
The other question is how up to date do you want your OLAP DB to be? Goldengate is a good answer if you're looking to minimize latency, but it can be expensive. ODI is less expensive but better suited to bulkier data sets. If an Oracle product wasn't the option I'd probably consider something like Informatica.
Hi Rajneesh,
yes here is the feature comparison between the community and enterprise edition : www.hitachivantara.com
And a short description of the community edition: www.predictiveanalyticstoday.com
And the download link: community.hitachivantara.com
You can ask more from the great community: forums.pentaho.com
Regards
Károly
We usually use Talend.
Look here: community.talend.com
As someone mentioned, if you're purely Oracle shop and staying that way then there's value with prioritizing Oracle tools. However, let me contrast that with this caveat...
Consider expectations for tool and vendor longevity. Oracle has a long history of retiring and/or replacing tools leaving customers in the cold with prior versions/tools (I've been burned multiple times by Oracle product retirements or replacements including OWB, Oracle Designer2k, Oracle Express, Oracle OEDW, their purchase of Sagent ETL which as later abandoned).
But I would also consider these questions and relative prioritization:
What is your organization's plans for moving to other database technologies?
Where is your org going with on-prem versus cloud solutions? How important are PaaS versus IaaS solutions?
Where is your current staff's expertise?
Prioritize mature over immature tools.
How many sources do you have? What are their technologies and does the integration tool support them?
Is it just moving data from a single ERP such as Oracle EBS to Olap? When you say Olap what do you mean by that? Are you talking Oracle Olap product or something else? That makes a really big difference of course - if your ETL tool doesn't support your source(s) and target(s) then it shouldn't be considered.
Given the industry's trajectory, I myself would highly prioritize PaaS solutions over others.
What is the OLAP that you are using? Hosted in Cloud or on-premise?
The target DB should have its tool to extract data.
Pentaho is a really nice tool if opensource is the only option.
Please think about issues such as upgrade and disaster in the future. These operations are very easy in Pentaho.
I can only suggest one thing for replication and that is Qlik. (ex-Attunity).
Hi Karoly, Thanks for your input. community: forums.pentaho.com is not allowing new registrations for new users. I guess they accept queries from customers only and not from any one. Do you know any other forum, community, SMEs contacts who can help on queries?