Oracle Database In-Memory vs SAP HANA comparison

You must select at least 2 products to compare!
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Oracle Database In-Memory and SAP HANA based on real PeerSpot user reviews.

Find out in this report how the two Relational Databases Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Oracle Database In-Memory vs. SAP HANA Report (Updated: September 2023).
735,432 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
"The solution's ROI is excellent.""The on-premise version is stable. We have different teams and resources for the server side, for admin, and for development. We can easily take care of all the services and applications.""We use the tool for real-time data transfer for risk management purposes. In a trading system, conversions happen fast. We use the product to handle fast transactions with low latency.""The most valuable feature is that Database-In-Memory is more consistent and faster than traditional databases as it requires fewer CPUs to process instructions.""Security is the most valuable feature.""The scalability is very good.""I like Oracle because it is a backward-compatible solution."

More Oracle Database In-Memory Pros →

"The solution can easily be modeled.""The solution is very stable.""The in-memory database is excellent.""The feature I found most valuable in SAP HANA is modeling. I also like that the solution has good integration and you can integrate it with any system, even third-party systems.""The solution is marvelous because it controls everything including workflow and that makes our company more productive.""The UX experience is very good.""It's stable and reliable.""A very feature-rich solution with excellent performance."

More SAP HANA Pros →

"They should improve the solution's scalability for large databases.""The solution should move to the new way of writing software code with AI that is intelligent and learns.""Lacks sufficient integration with other tools.""The query optimization and backup features should be added.""I would like Oracle Database In-Memory to include a data replication feature.""Oracle should include column store or advanced query optimization so a database can be optimized by enabling analytic queries to run faster.""It would be good if Oracle could reduce downtime when transferring from non-In-Memory to In-Memory."

More Oracle Database In-Memory Cons →

"Per SAP, you can do both transactional and analytical processes in SAP HANA. Though that's true, the speed is slower when you combine the two functions, so this is what I'd like SAP to improve in SAP HANA. In the next release, I want to see better diagrams in SAP HANA and a more user-friendly interface.""I would like to see improvement on the feedback from the road-map; it is currently extremely hard to get insight in this area.""The only downside of the product is that it is an expensive solution that needs to consider lowering its prices to improve the product.""Ease of use could be improved in SAP HANA. I like SAP because SAP solutions can be used by anyone, which means even laymen can start working on SAP tools, but in SAP HANA modeling, you'll need to know some other technologies and sequel scripting, and you need a separate skillset, so if you don't have the skillset, you won't be able to work on SAP HANA. Making SAP HANA low-code would make it even better.""The initial setup was very, very complex, tedious, and costly and required someone with great expertise to complete it.""More standards would help in the future.""You cannot apply mulit-join inside the calculation views, for example, when you are joining tables.""The pricing is expensive."

More SAP HANA Cons →

Pricing and Cost Advice
  • "Database In-Memory is priced a bit higher than its competitors like Microsoft."
  • "The pricing is pretty good so I rate it an eight out of ten."
  • "Oracle Database In-Memory is expensive."
  • "I rate the pricing a zero out of ten because Database In-Memory is too costly."
  • More Oracle Database In-Memory Pricing and Cost Advice →

  • "The price of SAP HANA is very expensive and it is paid annually."
  • "We pay annually for the license of the solution."
  • "The pricing is a bit on the high side."
  • "There is an annual license to use SAP HANA."
  • "The price of licensing is dependent on the size of the project, however, we have found that there is scope to negotiate the cost. If the solution is implemented on-premises there may be some extra costs for hosting etc."
  • "We are spending about 20,000 to 30,000 euros on the solution."
  • "SAP HANA is more expensive than other solutions."
  • "The solution's license is very expensive so I rate pricing a one out of ten."
  • More SAP HANA Pricing and Cost Advice →

    Use our free recommendation engine to learn which Relational Databases Tools solutions are best for your needs.
    735,432 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:I like Oracle because it is a backward-compatible solution.
    Top Answer:I rate the pricing a zero out of ten because Database In-Memory is too costly.
    Top Answer:It would be good if Oracle could reduce downtime when transferring from non-In-Memory to In-Memory.
    Top Answer:Based on my work with SAP HANA, the biggest benefit that it can bring to your business is total data management. This product is by SAP - a company that serves almost all needs a client may have… more »
    Top Answer:We have been using SAP HANA for a fairly short period of time and have only taken advantage of their customer support. So far, we have not had issues that required specialized help from technical… more »
    Top Answer:SAP HANA is fairly easy to set up, however, I do not think a complete beginner can do it. You certainly need some preparation - either you need to have experience with similar solutions, or with other… more »
    Average Words per Review
    Average Words per Review
    Also Known As
    SAP High-Performance Analytic Appliance, HANA
    Learn More

    Oracle Database In-Memory transparently accelerates analytics by orders of magnitude while simultaneously speeding up mixed-workload OLTP. With Oracle Database In-Memory, users get immediate answers to business questions that previously took hours.

    Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality, or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with any existing Oracle Database compatible application is as easy as flipping a switch - no application changes are required. Oracle Database In-Memory is fully integrated with the Oracle Database’s renowned scale-up, scale-out, storage tiering, availability, and security technologies making it the most industrialstrength offering on the market.

    The ability to easily perform real-time data analysis together with real-time transaction processing on all existing applications enables organizations to transform into Real-Time Enterprises that quickly make data-driven decisions, respond instantly to customer demands, and continuously optimize all key processes.

    For more information on Oracle Database In-Memory, visit

    SAP HANA, also known as SAP High-performance Analytics Appliance, is a multi-model database that stores data in its memory, allowing users to avoid disk storage. The product combines its robust database with services for creating applications. SAP HANA is faster than other database management systems (DBMS) because it stores data in column-based tables in main memory and brings online analytical processing (OLAP) and online transaction processing (OLTP) together.

    The column-oriented in-memory database design allows users to run high-speed transactions alongside advanced analytics, all in a single system. This provides companies with the ability to process very large amounts of data with low latency and query data in an instant. By combining multiple data management capabilities, the solution simplifies IT, helps businesses with innovations, and facilitates digital transformation.

    The solution is structured into five groups of capabilities, categorized as:

    • Database design
    • Database management
    • Application development
    • Advanced analytics
    • Data virtualization

    There are three more SAP products that work alongside SAP HANA and complete the experience for users together. SAP S/4HANA Cloud is a ready-to-run cloud enterprise resource planning (ERP). SAP BW/4HANA is a packaged data warehouse, based on SAP HANA, which allows users to consolidate data across the enterprise to get a consistent view of their data. Finally, SAP Cloud is a single database as a service (DBaaS) foundation for modern applications and analytics across all enterprise data. All three products can combine with SAP HANA to deliver to users an optimized experience regarding their data.

    SAP HANA Features

    Each architectural group of capabilities of SAP HANA has various features that users can benefit from. These include:

    • Parallel processing database: SAP HANA utilizes a single platform to run transactional and analytical workloads.

    • ACID compliance: This feature ensures compliance with requirements for Atomicity, Consistency, Isolation, and Durability (ACID) standards.

    • Multi-tenancy: This feature allows multiple tenant databases to run in one system while sharing the same memory and processors.

    • Multi-tier storage and persistent memory support: SAP HANA's native storage extension is a built-in capability to manage between memory and persistent storage, including SAP HANA Cloud Data Lake.

    • Scaling: The scaling feature supports terabytes of data in a single server and distributes large tables across multiple servers in a cluster to scale further.

    • Data modeling: This feature consists of graphical modeling tools that enable collaboration between stakeholders and the creation of models to execute complex business logic and data transformation in real time.

    • Stored procedures: The product has a native language to build stored procedures and uses advanced capabilities to create complex logic.

    • Administration: This feature consists of administration tools for various platform lifecycle, performance, and management operations and automations.

    • Security: SAP HANA provides its users with real-time data anonymization features to extract value from data while protecting privacy.

    • Availability and recovery: The tool supports high availability and disaster recovery through an array of techniques, including backup, storage mirroring, synchronous, asynchronous, and multitarget system replication.

    • Extended application services: Through its built-in application server, users can develop services such as REST and ODATA, as well as web applications that can run on multiple locations.

    • Client access: The product offers clients the ability to access it via other application platforms and languages, including Java, JavaScript, R, and Go.

    • Application lifecycle management: This set of features facilitates the building and packaging of applications, transporting them for development to test to production, and then deploying them.

    • Application development: This feature consists of a set of tools that offer application development on premises and in the Cloud. The programming language ABAP includes additional optimized features to build extensions to SAP applications.

    • Search: The search feature uses SQL to locate text promptly across multiple columns and textual content.

    • Spatial processing: This product feature provides native support for spatial data types and spatial functions.

    • Graph: Through this feature, users of the product can store and process highly connected data using a property graph.

    • Streaming analytics: This feature combines various data sources that users can utilize to discover trends over a set period.

    • Data integration and replication: The solution offers comprehensive features to handle all data integration scenarios.

    • Data federation: This feature allows users to perform queries on remote data sources in real time with data federation.

    • Caching: The capacity to cache data provides users with the ability to optimize federated queries against remote sources of data.

    SAP HANA Benefits

    SAP HANA provides many benefits for its users. These include:

    • This solution offers a high level of data and application security, beginning from a secure setup and providing continuous support.

    • SAP HANA offers augmentation for applications and analytics with built-in machine learning (ML).

    • The solution works in a timely manner, as it provides a response to queries within seconds in large production applications.

    • SAP HANA simplifies work, as it provides a single gateway to all user data with advanced data virtualization.

    • The product is very flexible, as it allows users to deploy applications in a public or private cloud, in multiple clouds, on premises, or hybrid.

    • SAP HANA scales easily for data volume and concurrent users across a distributed environment.

    • This is a powerful solution in terms of querying large datasets with a massively parallel processing (MPP) database.

    • SAP HANA is a versatile product that supports hybrid transactional and analytical processing as well as many data types.

    • The product provides a smaller data footprint with no data duplication or advanced compression, and reduces data silos.

    Reviews from Real Users

    According to a database consultant at a pharma/biotech company, SAP HANA is a very robust solution with good data access.

    Bruno V., owner at LAVORO AUTOM INF E COM LTDA, likes SAP HANA because the product offers advanced features, helps reduce hours, and makes it easy to find what you need.

    Learn more about Oracle Database In-Memory
    Learn more about SAP HANA
    Sample Customers
    Shanghai Customs
    Unilever, NHS 24, adidas Group, CHIO Aachen, Hamburg Port Authority (HPA), Bangkok Airways Public Company Limited
    Top Industries
    Financial Services Firm21%
    Computer Software Company14%
    Local Government7%
    Financial Services Firm20%
    Computer Software Company16%
    Manufacturing Company9%
    Computer Software Company16%
    Manufacturing Company13%
    Energy/Utilities Company11%
    Computer Software Company15%
    Manufacturing Company12%
    Financial Services Firm8%
    Comms Service Provider7%
    Company Size
    Small Business23%
    Midsize Enterprise14%
    Large Enterprise64%
    Small Business16%
    Midsize Enterprise13%
    Large Enterprise71%
    Small Business26%
    Midsize Enterprise15%
    Large Enterprise60%
    Small Business20%
    Midsize Enterprise13%
    Large Enterprise67%
    Buyer's Guide
    Oracle Database In-Memory vs. SAP HANA
    September 2023
    Find out what your peers are saying about Oracle Database In-Memory vs. SAP HANA and other solutions. Updated: September 2023.
    735,432 professionals have used our research since 2012.

    Oracle Database In-Memory is ranked 9th in Relational Databases Tools with 7 reviews while SAP HANA is ranked 3rd in Relational Databases Tools with 45 reviews. Oracle Database In-Memory is rated 8.8, while SAP HANA is rated 8.6. The top reviewer of Oracle Database In-Memory writes "A highly-compatible solution that sped up analytical processes ". On the other hand, the top reviewer of SAP HANA writes "Good integration capabilities, easy to implement, and reliable". Oracle Database In-Memory is most compared with Progress OpenEdge RDBMS, SQL Server, IBM Db2 Database, MySQL and MariaDB, whereas SAP HANA is most compared with Oracle Database, SQL Server, IBM Db2 Database, MySQL and Teradata. See our Oracle Database In-Memory vs. SAP HANA report.

    See our list of best Relational Databases Tools vendors and best Embedded Database Software vendors.

    We monitor all Relational Databases Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.