Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
SingleStore
Score 7.5 out of 10
N/A
SingleStore aims to enable organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads in one unified platform.
$0.69
per hour
Pricing
SAP HANA CloudSingleStore
Editions & Modules
No answers on this topic
OnDemand
$0.69
per hour
Offerings
Pricing Offerings
SAP HANA CloudSingleStore
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalOptional
Additional DetailsIncludes a one year free trial.
More Pricing Information
Community Pulse
SAP HANA CloudSingleStore
Considered Both Products
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 …
SingleStore
Chose SingleStore
I can only compare it with Exasol, which I have used a similar base, which manages the Hadoop scheme and is very similar to SingleStore. SingleStore has many advantages: being in the cloud, with just a couple of clicks I can increase the capacity, the configuration is super …
Chose SingleStore
first of all SingleStoreis a cluster with high availability and easy to use.
you need to design you tables / procedures such in a way that your SingleStore perform well and with handle heavy load
Chose SingleStore
Reduces database sprawl, ETL costs, infrastructure expenses, etc. Supports horizontal scaling, unlike PostgreSQL & Aurora, and real-time analytics and fast transactions (HTAP), unlike Snowflake & ClickHouse.Handles high-volume workloads with thousands of concurrent queries. No …
Chose SingleStore
SingleStore (memsql) out performs based on our analysis with sample data sets within org. We could see limitations with other products which SingleStore can overcall like scaling with data while performing with similar SLA. It also has the advantage of row store and column …
Chose SingleStore
Efficient and faster data ingestion was primary criteria.
Chose SingleStore
SingleStore outperforms Snowflake in real-time analytics and transactional workloads but lags in large-scale batch processing. Compared to MongoDB Atlas, SingleStore excels in complex SQL queries and joins, while MongoDB handles unstructured, document-based data better. Its …
Chose SingleStore
Greenplum is good in handling very large amount of data. Concurrency in Greenplum was a major problem. Features available in SingleStore like Pipelines and in memory features are not available in Greenplum.

Gemfire was not scaling well like SingleStore. Support of both …
Chose SingleStore
We previously used Bigquery for our application, and a single store gave us very good performance over Bigquery. But the comparison is not apples to apples, as Bigquery is more of a data warehousing solution.
Chose SingleStore
SingleStore is just a bigger engine with more capability. Its ability to handle larger data sets with ease is its biggest advantage. These other database solutions are great for smaller scale projects that don't include large data sets but Singlestore greatly out performs in …
Chose SingleStore
DynamoDB was fast but no ability to do OLAP queries

Aurora couldn't handle our data scale at all
Chose SingleStore
It has more APIs and other access methods. It has a multi-version concurrency control (MVCC) Distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in …
Chose SingleStore
Its easier to query and faster. Ingestion is for the most part easier to understand and monitor and directly integrated with other storage solution products we use such as AWS S3. Singlestore overall is a better database to serve up an application large amounts of data very …
Chose SingleStore
ClickHouse - would still require us to have a separate db.
ElasticSearch - seemed too complex for us.
Chose SingleStore
SingleStore provided the best performance for our need to slice and dice for a large columnar dataset.
Chose SingleStore
SingleStore is built for fast data ingestion and fast queries against large tables (> billions of rows). This is possible because of the column store engine that SingleStore uses. SingleStore also support a memory engine. Pipelines is also another big advantage. Being able to …
Chose SingleStore
SingleStore has outperformed these in speed and performance. However it is more expensive but has been worth the cost so far.
Chose SingleStore
We knew early on that MySQL (Amazon Aurora) would not be suitable for this workload as it cannot query our time series data as fast as SingleStore. We also use MongoDB Atlas for another application but we could not achieve the raw speed we saw from SingleStore. Our technical …
Chose SingleStore
We were initially using AWS Aurora which worked well at the time but as we grew it just felt like a lumbering beast - even with tier upgrades. We started looking at caching & search options to help make searches faster - we were already using redis. We looked at and even …
Chose SingleStore
Timescale was the biggest alternative option we looked at for SingleStore, however the requirement to learn a new syntax (due to not being SQL compatible) was our biggest pain point.

Supporting a new language would require alterations to the Laravel framework, as this only …
Chose SingleStore
SingleStore provides an abstraction layer in managing a sharded database solution reducing complexity for the FLOWD team. Coupled with the SingleStore Managed Service, we are partnering with SingleStore to provide FLOWD services to various utilities & councils.
Chose SingleStore
SingleStore is eons faster than other database providers, and it absolutely crushes calculations & aggregations. While other providers may have a few quality of life enhancements over SingleStore, the speed benefits of SS far outweigh the cons. At the end of the day, speed …
Chose SingleStore
SingleStore provides performance for real-time data analytics application where as Snowflake is more for data engineers and not fast enough for real-time data analytics apps.
Chose SingleStore
As I said before, we felt that running queries on BigQuery for every query is really slow, especially from an user point of view. After seeing the drastically improved latency of SingleStore we decided to use to solve this issue. We currently use it to run low volume queries …
Chose SingleStore
SingleStore was the fastest sql database we have tried, allowing for analytical queries on TBs of data.
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SAP HANA CloudSingleStore
Small Businesses
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Score 7.7 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Medium-sized Companies
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Enterprises
SAP IQ
SAP IQ
Score 10.0 out of 10
SAP IQ
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Score 10.0 out of 10
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User Ratings
SAP HANA CloudSingleStore
Likelihood to Recommend
9.3
(0 ratings)
7.6
(0 ratings)
Likelihood to Renew
9.1
(0 ratings)
8.2
(0 ratings)
Usability
9.1
(0 ratings)
8.2
(0 ratings)
Availability
3.6
(0 ratings)
9.1
(0 ratings)
Performance
3.6
(0 ratings)
8.2
(0 ratings)
Support Rating
9.1
(0 ratings)
8.3
(0 ratings)
Online Training
-
(0 ratings)
7.3
(0 ratings)
Implementation Rating
9.1
(0 ratings)
7.3
(0 ratings)
Configurability
3.6
(0 ratings)
-
(0 ratings)
Ease of integration
4.5
(0 ratings)
9.1
(0 ratings)
Product Scalability
4.5
(0 ratings)
8.2
(0 ratings)
Vendor post-sale
4.5
(0 ratings)
8.2
(0 ratings)
Vendor pre-sale
3.6
(0 ratings)
8.2
(0 ratings)
User Testimonials
SAP HANA CloudSingleStore
Likelihood to Recommend
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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Well-Suited Scenarios: Real-Time Analytics: Financial trading platforms requiring instant insights. Operational Dashboards: Retail businesses monitoring live sales. IoT Data Processing: Smart device monitoring with high data ingestion. Fraud Detection: Banks detect suspicious transactions instantly. Less Appropriate Scenarios: Archival Storage: Cold data storage with infrequent access. Low-Volume Workloads: Small-scale apps with minimal data processing needs. Complex ETL Pipelines: Heavy data transformations without real-time demands.
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Pros
  • 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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  • Return results of complex queries scanning TBs of data in sub-seconds.
  • Customer support team answer tickets quickly and provide guidance.
  • MySQL engine which allows to query using simple MySQL drivers from different clients.
  • Queries profiling is easy to use and helps investigating performance.
Read full review
Cons
  • 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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  • It does not release a patch to have back porting; it just releases a new version and stops support; it's difficult to keep up to that pace.
  • Support engineers lack expertise, but they seem to be improving organically.
  • Lacks enterprise CDC capability: Change data capture (CDC) is a process that tracks and records changes made to data in a database and then delivers those changes to other systems in real time.
  • For enterprise-level backup & restore capability, we had to implement our model via Velero snapshot backup.
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Likelihood to Renew
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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We haven't seen a faster relation database. Period. Which is why we are super happy customers and will for sure renew our license.
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Usability
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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[Until it is] supported on AWS ECS containers, I will reserve a higher rating for SingleStore. Right now it works well on EC2 and serves our current purpose, [but] would look forward to seeing SingleStore respond to our urge of feature in a shorter time period with high quality and security.
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Reliability and Availability
No answers on this topic
I really can't remember a time when it was not available
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Performance
No answers on this topic
When it comes to ingestion speed, SingleStore is probably at the top. Being able to create pipelines using SQL to ingest data from S3, Kafka, and other sources, is a great advantages. This means you can dynamically ingest data by customizing your SQL queries. SingleStore pipelines are pretty sophisticated, yet very simple. Few lines of codes and you are ingesting data, while still able to perform analytical queries on your billions of row tables.
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Support Rating
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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The support deep dives into our most complexed queries and bizarre issues that sometimes only we get comparing to other clients. Our special workload (thousands of Kafka pipelines + high concurrency of queries). The response match to the priority of the request, P1 gets immediate return call. Missing features are treated, they become a client request and being added to the roadmap after internal consideration on all client needs and priority. Bugs are patched quite fast, depends on the impact and feasible temporary workarounds. There is no issue that we haven't got a proper answer, resolution or reasoning
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Online Training
No answers on this topic
Would prefer in person training but for online training, it's almost as good as in person
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Implementation Rating
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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We allowed 2-3 months for a thorough evaluation. We saw pretty quickly that we were likely to pick SingleStore, so we ported some of our stored procedures to SingleStore in order to take a deeper look. Two SingleStore people worked closely with us to ensure that we did not have any blocking problems. It all went remarkably smoothly.
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Alternatives Considered
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
Reduces database sprawl, ETL costs, infrastructure expenses, etc. Supports horizontal scaling, unlike PostgreSQL & Aurora, and real-time analytics and fast transactions (HTAP), unlike Snowflake & ClickHouse.Handles high-volume workloads with thousands of concurrent queries. No need for ETL processes, unlike BigQuery & Snowflake. Works with JSON, relational, and key-value data, unlike ClickHouse.
Read full review
Scalability
Limitation of training deliverable by organization
Read full review
Very reliable. Coming from mariadb, singlestore has made our application more reliable and faster!
Read full review
Return on Investment
  • 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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  • Lower operational complexity - Installation and maintenance is pretty easy
  • Object scale when used can compete with Traditional Warehouse Systems like Teradata, Netezza, Greenplum
  • Adds lot of value to the business like couple of operations which never worked in traditional DBMS including HANA, Oracle In Memory, SQL Server In Memory just flew in SingleStore
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