Apache Derby is an embedded relational database management system, originally developed by IBM and called IBM Cloudscape.
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Qlik Talend Cloud
Score 8.8 out of 10
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The Qlik Talend Cloud suite of solutions offer data integration, data quality, application integration, and data governance that work with key data sources, targets, architectures, or methodologies to ensure business users always have trusted and accurate data.
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Pricing
Apache Derby
Qlik Talend Cloud
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Apache Derby
Qlik Talend Cloud
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Premium Consulting/Integration Services
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Apache Derby
Qlik Talend Cloud
Features
Apache Derby
Qlik Talend Cloud
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Apache Derby
-
Ratings
Qlik Talend Cloud
9.5
10 Ratings
14% above category average
Connect to traditional data sources
00 Ratings
10.010 Ratings
Connecto to Big Data and NoSQL
00 Ratings
9.09 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Apache Derby
-
Ratings
Qlik Talend Cloud
9.0
10 Ratings
11% above category average
Simple transformations
00 Ratings
9.010 Ratings
Complex transformations
00 Ratings
9.010 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Apache Derby
-
Ratings
Qlik Talend Cloud
9.0
10 Ratings
14% above category average
Data model creation
00 Ratings
9.09 Ratings
Metadata management
00 Ratings
10.09 Ratings
Business rules and workflow
00 Ratings
8.08 Ratings
Collaboration
00 Ratings
9.09 Ratings
Testing and debugging
00 Ratings
9.010 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
If you need a SQL-capable database-like solution that is file-based and embeddable in your existing Java Virtual Machine processes, Apache Derby is an open-source, zero cost, robust and performant option. You can use it to store structured relational data but in small files that can be deployed right alongside with your solution, such as storing a set of relational master data or configuration settings inside your binary package that is deployed/installed on servers or client machines.
This tool fits all kinds of organizations and helps to integrate data between many applications. We can use this tool as data integration is a key feature for all organizations. It is also available in the cloud, which makes the integration more seamless. The firm can opt for the required tools when there are no data integration needs.
Apache Derby is SMALL. Compared to an enterprise scale system such as MSSQL, it's footprint is very tiny, and it works well as a local database.
The SPEED. I have found that Apache Derby is very fast, given the environment I was developing in.
Based in JAVA (I know that's an obvious thing to say), but Java allows you to write some elegant Object Oriented structures, thus allowing for fast, Agile test cases against the database.
Derby is EASY to implement and can be accessed from a console with little difficulty. Making it appropriate for everything from small embedded systems (i.e. just a bash shell and a little bit of supporting libraries) to massive workstations.
Talend Data Integration allows us to quickly build data integrations without a tremendous amount of custom coding (some Java and JavaScript knowledge is still required).
I like the UI and it's very intuitive. Jobs are visual, allowing the team members to see the flow of the data, without having to read through the Java code that is generated.
We use Talend Data Integration day in and day out. It is the best and easiest tool to jump on to and use. We can build a basic integration super-fast. We could build basic integrations as fast as within the hour. It is also easy to build transformations and use Java to perform some operations.
Good support, specially when it relates to PROD environment. The support team has access to the product development team. Things are internally escalated to development team if there is a bug encountered. This helps the customer to get quick fix or patch designed for problem exceptions. I have also seen support showing their willingness to help develop custom connector for a newly available cloud based big data solution
SQLite is another open-source zero-cost file-based SQL-capable database solution and is a good alternative to Apache Derby, especially for non-Java-based solutions. We chose Apache Derby as it is Java-based, and so is the solution we embedded it in. However, SQLite has a similar feature set and is widely used in the industry to serve the same purposes for native solutions such as C or C++-based products.
In comparison with the other ETLs I used, Talend is more flexible than Data Services (where you cannot create complex commands). It is similar to Datastage speaking about commands and interfaces. It is more user-friendly than ODI, which has a metadata point of view on its own, while Talend is more classic. It has both on-prem and cloud approaches, while Matillion is only cloud-based.
Being Open source, the resources spent on the purchase of the product are ZERO.
Contrary to popular belief, open source software CAN provide support, provided that the developers/contributors are willing to answer your emails.
Overall, the ROI was positive: being able to experiment with an open source technology that could perform on par with the corporate products was promising, and gave us much information about how to proceed in the future.
It’s only been a positive RoI with Talend given we’ve interfaced large datasets between critical on-Prem and cloud-native apps to efficiently run our business operations.