Apache Derby vs. SAP HANA Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Derby
Score 7.0 out of 10
N/A
Apache Derby is an embedded relational database management system, originally developed by IBM and called IBM Cloudscape.N/A
SAP HANA Cloud
Score 8.5 out of 10
N/A
SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.
$0.95
per month Capacity Units
Pricing
Apache DerbySAP HANA Cloud
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache DerbySAP HANA Cloud
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsIncludes a one year free trial.
More Pricing Information
Community Pulse
Apache DerbySAP HANA Cloud
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Best Alternatives
Apache DerbySAP HANA Cloud
Small Businesses
SQLite
SQLite
Score 9.0 out of 10
SingleStore
SingleStore
Score 9.4 out of 10
Medium-sized Companies
SQLite
SQLite
Score 9.0 out of 10
SingleStore
SingleStore
Score 9.4 out of 10
Enterprises
SQLite
SQLite
Score 9.0 out of 10
SingleStore
SingleStore
Score 9.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache DerbySAP HANA Cloud
Likelihood to Recommend
7.0
(3 ratings)
8.1
(293 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(6 ratings)
Usability
-
(0 ratings)
9.0
(10 ratings)
Availability
-
(0 ratings)
3.6
(1 ratings)
Performance
-
(0 ratings)
3.6
(1 ratings)
Support Rating
-
(0 ratings)
8.2
(254 ratings)
Implementation Rating
-
(0 ratings)
9.1
(2 ratings)
Configurability
-
(0 ratings)
3.6
(1 ratings)
Ease of integration
-
(0 ratings)
4.5
(1 ratings)
Product Scalability
-
(0 ratings)
4.5
(1 ratings)
Vendor post-sale
-
(0 ratings)
4.5
(1 ratings)
Vendor pre-sale
-
(0 ratings)
3.6
(1 ratings)
User Testimonials
Apache DerbySAP HANA Cloud
Likelihood to Recommend
Apache
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.
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SAP
It is well organized. One can use it for the company's portfolio management. Various tasks can be done for managerial purposes. One can track the material from start to end product: for example, raw material, packing material & consumable material to formulated bulk and formulated drug product. This can help to manage spending as well as finding costing of the product.
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Pros
Apache
  • 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.
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SAP
  • Real-time reporting and analytics on data: because of its in-memory architecture, it is perfect for businesses that need to make quick decisions based on current information.
  • Managing workload with complex data: it can handle a vast range of data types, including relational, documental, geospatial, graph, vector, and time series data.
  • Developing and deploying intelligent data applications: it provides various tools for such applications and can be used for machine learning and artificial intelligence to automate tasks, gain insights from data, and make predictions.
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Cons
Apache
  • It may not scale as well as some more mature database products.
  • Used it primarily from the command line with openjpa and jdbc, and from third-party clients such as Squirrel.
  • May benefit by providing more sophisticated tools to optimize query performance.
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SAP
  • Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change
  • Lack of clarity on licensing is one major challenge
  • Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4
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Likelihood to Renew
Apache
No answers on this topic
SAP
At this moment we are not focusing on SAP, however would love to in the future. This is primarily because of our limited ability to generate more revenue to fund for SAP partnerships and products. Our initial tryst with SAP Partneredge open ecosystem didn't go as planned and we have shelved that for now. Hope we can revive in the future
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Usability
Apache
No answers on this topic
SAP
In addition to the points described in the previous parts of the review, I believe that as I gain more experience with the product over time, I will be able to better describe my experience with this tool. Meanwhile, I can confirm that the possibilities presented to my organization by the change to SAP HANA, at the moment, have been very important to evolve the analytical and strategic field towards a new path.
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Support Rating
Apache
No answers on this topic
SAP
One specific example of how the support for SAP HANA Cloud impacted us is in our efforts to troubleshoot and resolve technical issues. Whenever we encountered an issue or had a question, the support team was quick to respond and provided us with clear and actionable guidance. This helped us avoid downtime and keep our analytics operations running smoothly.
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Implementation Rating
Apache
No answers on this topic
SAP
Professional GIS people are some of the most risk-averse there are, and it's difficult to get them to move to HANA in one step. Start with small projects building to 80% use of HANA spatial over time.
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Alternatives Considered
Apache
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.
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SAP
I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of capability present in the HANA platform.
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Scalability
Apache
No answers on this topic
SAP
Limitation of training deliverable by organization
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Return on Investment
Apache
  • 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.
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SAP
  • ROI has always been high in terms of the functionality that it offers and the security features it comes with.
  • Managing large volumes of data in real-time is not an easy task, but it does it pretty well with faster data processing.
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