Apache Derby is an embedded relational database management system, originally developed by IBM and called IBM Cloudscape.
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gathr.ai
Score8.9 out of 10
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Gathr.ai powers AI with complete data context for higher quality intelligence.
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Pricing
Apache Derby
gathr.ai
Editions & Modules
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Offerings
Pricing Offerings
Apache Derby
gathr.ai
Free Trial
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Yes
Free/Freemium Version
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Yes
Premium Consulting/Integration Services
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No
Entry-level Setup Fee
No setup fee
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More Pricing Information
Features
Apache Derby
gathr.ai
Data Source Connection
Comparison of Data Source Connection features of Apache Derby and gathr.ai
Feature
Apache Derby
-
Ratings
gathr.ai
8.8
2 Ratings
5% above category average
Connect to traditional data sources
00 Ratings
8.62 Ratings
Connecto to Big Data and NoSQL
00 Ratings
9.12 Ratings
Data Transformations
Comparison of Data Transformations features of Apache Derby and gathr.ai
Feature
Apache Derby
-
Ratings
gathr.ai
9.5
2 Ratings
15% above category average
Simple transformations
00 Ratings
9.52 Ratings
Complex transformations
00 Ratings
9.52 Ratings
Data Modeling
Comparison of Data Modeling features of Apache Derby and gathr.ai
Feature
Apache Derby
-
Ratings
gathr.ai
9.2
2 Ratings
15% above category average
Data model creation
00 Ratings
9.11 Ratings
Metadata management
00 Ratings
9.11 Ratings
Business rules and workflow
00 Ratings
9.52 Ratings
Collaboration
00 Ratings
9.02 Ratings
Testing and debugging
00 Ratings
9.02 Ratings
Data Governance
Comparison of Data Governance features of Apache Derby and gathr.ai
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
1. For ingesting multiple data sources to multiple data emitters. 2. Creating ETL pipelines in easier manner. 3. Easier to collaborate with multiple products. 4. No manual efforts, as it provides drag and drop feature for creating and maintaining data pipelines. 5. Easy to play with structured and unstructured data and schemas.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info