Astra DB vs. SAP HANA Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Astra DB
Score 8.2 out of 10
N/A
Astra DB from DataStax is a vector database for developers that need to get accurate Generative AI applications into production, fast.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.N/A
Pricing
Astra DBSAP HANA Cloud
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Astra DBSAP HANA Cloud
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsIncludes a one year free trial.
More Pricing Information
Community Pulse
Astra DBSAP HANA Cloud
Considered Both Products
Astra DB
Chose Astra DB
We also (briefly) considered building in-house. We wanted to avoid complex "Frankenstein" architectures. Combining Pinecone with another NoSQL datastore like DynamoDB would have increased complexity. A single-managed platform (Astra DB) enabled architectural simplicity and …
Chose Astra DB
We selected Astra for reducing complexity of our operations, local support, scalability, reliability, and business continuity/contingency planning reasons. We're a small team so prefer a database-as-a-solution model.
Chose Astra DB
Astra DB allowed us running a database without going deep into the configuration hell. It scales with our usage and therefore, there was no need to learn the sepcialities of a vector database.
Chose Astra DB
For the workloads we use Astra DB for it was a better choice than the other databases.
It worked out to be more scalable and cost affective than the traditional relational databases.
Also performant and without the downsides of size limits compared to other services.
Chose Astra DB
I never tried Pinecone with a production workload, but I can say that the enterprise support and care of DataStax is game changer. They really put effort in creating with you a valid and effective solution for your business.
Chose Astra DB
Astra provides all the features that the above products do while also giving us access to cutting-edge features faster.
Chose Astra DB
Astra DB is at par with each one of them as it's scalability and availability is unmatched. The best thing about Astra DB is it's managed service takes care of database operations, freeing up development teams to work on application features. With its scalable architecture and …
Chose Astra DB
Astra DB is a managed database service based on Apache Cassandra that is mostly used for NoSQL data storage and administration, whereas Azure is a full cloud computing platform provided by Microsoft that includes infrastructure, platform, and software services. Astra DB is …
Chose Astra DB
Astra DB, which is built on Apache Cassandra, is well-known for its smooth horizontal scalability, making it an ideal solution for applications with quickly rising data and traffic. Although MongoDB Atlas provides high availability, Astra DB's multi-region capability can …
Chose Astra DB
Since I was familiar with CQL, choosing Astra DB was the only smart choice for me. It is equally capable as all the other cloud-based fully managed database services currently out in the market. It provides very good documentation also for people who are new to it, making it …
Chose Astra DB
Astra DB supports Cassandra which is very important and of key notice. We work on Cassandra , thus we need Astra DB. Astra DB has high availability and scalability. The customer service provided by Astra DB is really helpful and the response is always available. Astra DB has …
Chose Astra DB
Astra DB is more optimized as compared to its rivals in many cases such as the replication provides with maximum uptime.
Chose Astra DB
Astra DB supports apache cassandra which in itself is a plus point. It's primary database model has a wide column store. Deployment of Astra Db takes minutes in AWS, Google Cloud, Azure. Also it is schema free. It also has advanced replication for edge computing. In other …
Chose Astra DB
The tools astra db provides are much more effective and efficient, especially the integration allowed within astra db. One can customize the choice of tools as per their requirements.
Chose Astra DB
Astra DB allows connection and integration with multiple tools and apache products, which gives it an edge against other products in the market.
Chose Astra DB
The integration compatibility Astra DB provides in unmatchable.
Chose Astra DB
Astra DB has a better database system than Mongo DB and that why me and my team prefers using Astra DB over all the database tools available. The Apache Cassandra database is what attracts the user to Astra DB rather than other databases. Wide Column storing database is what we …
Chose Astra DB
Astra Db combines the power of tools and sdk's over the use of cassandra which makes it better than most options out there.
Chose Astra DB
Astra in the general case ends up coming in cheaper than it costs to run your own VMs on a VPS to self-host either cassandra or scylla. How they do that, I don't know, but I'm glad they do!
Chose Astra DB
Some advantages of Cassandra by itself over the other solutions is being masterless and column oriented. About Astra DB, for us the decision-making factor was having a serverless solution and with the latest Cassandra version and features, additionally it provides a rich set …
Chose Astra DB
I have previously used and evaluated MongoDB and MySQL for various projects before choosing AstraDB for my chatbot application. While MongoDB and MySQL are both powerful and popular database solutions, AstraDB stood out for specific reasons in the context of my project.MongoDB, …
Chose Astra DB
Graph, search, analytics, administration, developer tooling, and monitoring are all incorporated into a single platform by Astra DB. Mongo Db is a self-managed infrastructure. Astra DB has Wide column store and Mongo DB has Document store. The best thing is that Astra DB …
SAP HANA Cloud
Chose SAP HANA Cloud
It enables preview and better cloud service than other cloud platforms. Easy document transfer and faster document transfer are the key points for the selection of the HANA cloud server. The preview of data before its execution is also one of the factors in the selection of the …
Chose SAP HANA Cloud
Multiple things as SAP HANA Cloud is used to handle large volumes of data with smooth use of different data types, including great real-time data storage.
Chose SAP HANA Cloud
Ease of use, real time storage and update.
Chose SAP HANA Cloud
Better tools and more integrated to BTP solutions.
Chose SAP HANA Cloud
This is our main erp, very stable and intergrated
Chose SAP HANA Cloud
The main reason is purely HANA database performance, and it supports both row and column store data. And the way optimization is running behind the schedule is another added benefit.
Chose SAP HANA Cloud
It's better with regards to real time or live data analytics in comparison to SAP BW
Chose SAP HANA Cloud
We use them in integration as it makes us provide best solutions and products for our clients as we are using the available software in the market.
Chose SAP HANA Cloud
Value is the reason we choose SAP
Chose SAP HANA Cloud
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 …
Chose SAP HANA Cloud
HANA Cloud would be same as on premise, only hosted
Would save the hassles of maintaining a data center but still allow full HANA functionality.
Chose SAP HANA Cloud
One area where SAP HANA Cloud stood out for us is in its support for real-time analytics on live transactional data. As a business that relies on up-to-date information to make critical decisions, this capability was essential for us. We found that SAP Analytics Cloud was more …
Chose SAP HANA Cloud
Both SAP Cloud Platform and Oracle Cloud Platform provide the API management, data and application integration, using real-time insights to develop and deploy integrate applications, but SAP proved more beneficial for our firm and was mostly a decision taken by management.
Chose SAP HANA Cloud
Earlier, the cloud-based database of azure was being used, and since it is also a cloud-based database solving all the analytical problems but once using Sap Hana, it seems to be more modern type problem solving and highly secure and highly user-friendly, solving a lot of …
Chose SAP HANA Cloud
The reason remains the same , The dataflow between SAP application works seamlessly with SAP HANA cloud . The in memory capability really helps here a lot to make the reports run faster . Where as the other database engines that doesn't have the in-memory capability.
Chose SAP HANA Cloud
In any software selection process, considering all options is critical to ensuring the best system is selected.It's even true for top-tier products like S/4HANA, SAP's newest ERP platform. For larger, more complex global organizations, an enterprise-class option from SAP may …
Chose SAP HANA Cloud
On the BTP stack, SAP HANA Cloud has no alternative which can compete in terms of performance and integration to the overall platform
Chose SAP HANA Cloud
SAP HANA Cloud allows for more advanced custom developments compared to comparable solutions build in the Business Warehouse. SAP BW, on the other hand, still has far more build in tools, like system monitoring, delta loading, advanced scheduling, and other data loading …
Features
Astra DBSAP HANA Cloud
Vector Database
Comparison of Vector Database features of Product A and Product B
Astra DB
6.8
Ratings
0% below category average
SAP HANA Cloud
-
Ratings
Vector Data Connection8.10 Ratings00 Ratings
Vector Data Editing6.50 Ratings00 Ratings
Attribute Management9.10 Ratings00 Ratings
Geospatial Analysis6.40 Ratings00 Ratings
Geometric Transformations6.40 Ratings00 Ratings
Vector Data Visualization6.30 Ratings00 Ratings
Coordinate Reference System Management:5.50 Ratings00 Ratings
Data Import/Export6.30 Ratings00 Ratings
Symbolization and Styling6.40 Ratings00 Ratings
Data Sharing and Collaboration7.40 Ratings00 Ratings
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User Ratings
Astra DBSAP HANA Cloud
Likelihood to Recommend
8.2
(0 ratings)
9.3
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(0 ratings)
Usability
7.8
(0 ratings)
9.1
(0 ratings)
Availability
-
(0 ratings)
3.6
(0 ratings)
Performance
-
(0 ratings)
3.6
(0 ratings)
Support Rating
8.9
(0 ratings)
9.1
(0 ratings)
Implementation Rating
-
(0 ratings)
9.1
(0 ratings)
Configurability
-
(0 ratings)
3.6
(0 ratings)
Ease of integration
-
(0 ratings)
4.5
(0 ratings)
Product Scalability
8.0
(0 ratings)
4.5
(0 ratings)
Vendor post-sale
-
(0 ratings)
4.5
(0 ratings)
Vendor pre-sale
-
(0 ratings)
3.6
(0 ratings)
User Testimonials
Astra DBSAP HANA Cloud
Likelihood to Recommend
We use Astra DB to improve our management systems. Storing data has become hassle-free and quite simple. When launching a Cassandra-based cloud application, Astra DB is exactly what you need. In addition to the standard training programs and videos, the extended support and training require significant additional effort to activate and cover which I feel is a bit more tedious task.
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SAP HANA Cloud works effectively with SMBs or small to medium-sized enterprises and requires an affordable, scalable ERP system. Companies that must implement SAP S/4 HANA as soon as possible. Companies looking to take advantage of the newest innovation from SAP are looking to cut expenses on their IT infrastructure. SAP HANA CLOUD is not suitable for 1. Large companies with intricate operational procedures. 2. Companies with stringent policies regarding data residency. 3. Businesses with a sizable SAP landscape on premises 4. Companies must closely integrate SAP HANA CLOUD with non-SAP systems.
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Pros
  • We need to be able to process a lot of data (our biggest clients process hundreds of milions of transactions every month). However, it is not only the amount of data, it is also an unpredictable patterns with spikes occuring at different points of time - something athat Astra is great at.
  • Our processing needs to be extremaly fast. Some of our clients use our enrichment in a synchronous way, meaning that any delay in processing is holding up the whole transaction lifecycle and can have a major impact on the client. Astra is very fast.
  • A close collaboration with GCP makes our life very easy. All of our technology sits in Google Cloud, so having Astra in there makes it a no-brainer solution for us.
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  • SAP HANA Cloud can help drive data analytics, data migration, and data management exceptionally well.
  • It offers an integration service that lets you integrate data and processes with 3rd party app or any other cloud app.
  • In-memory capability helps in faster data processing.
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Cons
  • Astra DB might be difficult to understand for people who are unfamiliar with Apache Cassandra. Improving the initial experience for newcomers, as well as offering better documentation and lessons, might be advantageous.
  • The Astra DB ecosystem may be enhanced by expanding the ecosystem of plugins, integrations, and community-contributed solutions.
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  • 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
No answers on this topic
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
It's a great product but suffers with counters. This isn't a deal breaker but lets down what is otherwise a good all round solution
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SAP HANA Cloud requires significant expertise on technical side to admin and manage it.It surely is lot of improvement over previous versions of SAPThe modern, role-based SAP Fiori interface has enhanced the user experience for applications like S/4HANA, though the complexity of the underlying database remains. For the average business user, the usability of SAP solutions running on the HANA database has seen a major transformation, largely thanks to the Fiori user interface.
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Support Rating
Their response time is fast, in case you do not contact them during business hours, they give a very good follow-up to your case. They also facilitate video calls if necessary for debugging.
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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
No answers on this topic
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
We also (briefly) considered building in-house. We wanted to avoid complex "Frankenstein" architectures. Combining Pinecone with another NoSQL datastore like DynamoDB would have increased complexity. A single-managed platform (Astra DB) enabled architectural simplicity and strong reliability, allowing Maester’s development team to prioritize high-value, customer-facing features
Read full review
It enables preview and better cloud service than other cloud platforms. Easy document transfer and faster document transfer are the key points for the selection of the HANA cloud server. The preview of data before its execution is also one of the factors in the selection of the HANA server.
Read full review
Scalability
We are well aware of the Cassandra architecture and familiar with the open source tooling that Datastax provides the industry (K8sSandra / Stargate) to scale Cassandra on Kubernetes.
Having prior knowledge of Cassandra / Kubernetes means we know that under the hood Astra is built on infinitely scalable technologies. We trust that the foundations that Astra is built on will scale so we know Astra will scale.
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Limitation of training deliverable by organization
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Return on Investment
  • Database growth planning is less of a concern with Astra, as it scales automatically.
  • Currently, they lack fine-grained security at the table level. I suspect that will change over time.
  • If your load has peaks and valleys; Astra enables only paying for Reads/Writes; thus you do not need to pay for large servers to support peaks in load.
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  • perception that it is "expensive" - this is a messaging issue, not a real issue
  • perception that it only runs ERP - SAP is a victim of it's own success in this regard
  • perception that it isn't an industrial strength DBMS when, in fact, it is
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ScreenShots