HSQLDB (Hyper SQL Database) vs. Huawei Cloud Distributed Cache Service (DCS) vs. SAP HANA Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
HSQLDB (Hyper SQL Database)
Score 9.0 out of 10
N/A
HSQLDB or Hyper SQL Database is an open source relational database management system built in Java which can be used as an embedded database.N/A
Huawei Cloud Distributed Cache Service (DCS)
Score 0.0 out of 10
N/A
Distributed Cache Service (DCS) on Huawei Cloud is an online, distributed, in-memory cache service, compatible with Redis and Memcached. DCS for Redis uses an HA architecture to deliver strong read/write performance and on-demand scalability. DCS for Memcached ensures high read/write performance and fast data access.N/A
SAP HANA Cloud
Score 8.9 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
HSQLDB (Hyper SQL Database)Huawei Cloud Distributed Cache Service (DCS)SAP HANA Cloud
Editions & Modules
No answers on this topic
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HSQLDB (Hyper SQL Database)Huawei Cloud Distributed Cache Service (DCS)SAP HANA Cloud
Free Trial
NoNoYes
Free/Freemium Version
NoNoNo
Premium Consulting/Integration Services
NoNoNo
Entry-level Setup FeeNo setup feeNo setup feeOptional
Additional DetailsIncludes a one year free trial.
More Pricing Information
Features
HSQLDB (Hyper SQL Database)Huawei Cloud Distributed Cache Service (DCS)SAP HANA Cloud
Relational Databases
Comparison of Relational Databases features of Product A and Product B
HSQLDB (Hyper SQL Database)
-
Ratings
Huawei Cloud Distributed Cache Service (DCS)
-
Ratings
SAP HANA Cloud
7.8
26 Ratings
2% below category average
ACID compliance00 Ratings00 Ratings8.319 Ratings
Database monitoring00 Ratings00 Ratings7.625 Ratings
Database locking00 Ratings00 Ratings7.921 Ratings
Encryption00 Ratings00 Ratings7.522 Ratings
Disaster recovery00 Ratings00 Ratings8.022 Ratings
Flexible deployment00 Ratings00 Ratings7.424 Ratings
Multiple datatypes00 Ratings00 Ratings7.524 Ratings
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HSQLDB (Hyper SQL Database)Huawei Cloud Distributed Cache Service (DCS)SAP HANA Cloud
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User Ratings
HSQLDB (Hyper SQL Database)Huawei Cloud Distributed Cache Service (DCS)SAP HANA Cloud
Likelihood to Recommend
-
(0 ratings)
-
(0 ratings)
9.6
(308 ratings)
Likelihood to Renew
-
(0 ratings)
-
(0 ratings)
10.0
(11 ratings)
Usability
-
(0 ratings)
-
(0 ratings)
9.6
(29 ratings)
Availability
-
(0 ratings)
-
(0 ratings)
3.6
(1 ratings)
Performance
-
(0 ratings)
-
(0 ratings)
3.6
(1 ratings)
Support Rating
-
(0 ratings)
-
(0 ratings)
9.1
(251 ratings)
Implementation Rating
-
(0 ratings)
-
(0 ratings)
9.1
(2 ratings)
Configurability
-
(0 ratings)
-
(0 ratings)
3.6
(1 ratings)
Ease of integration
-
(0 ratings)
-
(0 ratings)
4.5
(1 ratings)
Product Scalability
-
(0 ratings)
-
(0 ratings)
4.5
(1 ratings)
Vendor post-sale
-
(0 ratings)
-
(0 ratings)
4.5
(1 ratings)
Vendor pre-sale
-
(0 ratings)
-
(0 ratings)
3.6
(1 ratings)
User Testimonials
HSQLDB (Hyper SQL Database)Huawei Cloud Distributed Cache Service (DCS)SAP HANA Cloud
Likelihood to Recommend
Open Source
No answers on this topic
Huawei Technologies
No answers on this topic
SAP
I think if you have a large organization, it's probably the product and the marketplace to go to. We're a large management consulting firm operating in four to seven countries. And generally speaking, I think that's the size and the scope where it scales best. I can't speak to smaller companies, but I can't see smaller companies leveraging the benefits as much as a larger organization can.
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Pros
Open Source
No answers on this topic
Huawei Technologies
No answers on this topic
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
Open Source
No answers on this topic
Huawei Technologies
No answers on this topic
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
Open Source
No answers on this topic
Huawei Technologies
No answers on this topic
SAP
We would rate our likelihood of renewing at 9/10. SAP HANA Cloud has proven to be a highly reliable and scalable data platform that consistently delivers strong performance. Its seamless integration with our overall SAP landscape, combined with improved analytics and real-time data capabilities, makes it a core part of our long-term technology strategy.
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Usability
Open Source
No answers on this topic
Huawei Technologies
No answers on this topic
SAP
It is very useful solution which provides you speedier data processing, real-time analytics. It helps you manage diverse data types. It also offers you excellent disaster management. It has user friendly interface which helps you navigate system and transactions easily and perform task smoothly.
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Reliability and Availability
Open Source
No answers on this topic
Huawei Technologies
No answers on this topic
SAP
so far, we didn't get any outage
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Performance
Open Source
No answers on this topic
Huawei Technologies
No answers on this topic
SAP
so far good
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Support Rating
Open Source
No answers on this topic
Huawei Technologies
No answers on this topic
SAP
However, I am not the right person to answer this as we have another department to handle support and contact the service provider for any support required. Although i will say that they are the quick respondent and knows how to handle querry of the customers and provide quick and better support.
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Implementation Rating
Open Source
No answers on this topic
Huawei Technologies
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
Open Source
No answers on this topic
Huawei Technologies
No answers on this topic
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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Contract Terms and Pricing Model
Open Source
No answers on this topic
Huawei Technologies
No answers on this topic
SAP
I don't have visibility in licensing
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Scalability
Open Source
No answers on this topic
Huawei Technologies
No answers on this topic
SAP
Limitation of training deliverable by organization
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Professional Services
Open Source
No answers on this topic
Huawei Technologies
No answers on this topic
SAP
We are still in process for the first applciaiton
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Return on Investment
Open Source
No answers on this topic
Huawei Technologies
No answers on this topic
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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