What is SAP HANA?
It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.
SAP HANA is a tool in the In-Memory Databases category of a tech stack.
Who uses SAP HANA?
23 developers on StackShare have stated that they use SAP HANA.
SAP HANA Integrations
Python, Tableau, Power BI, hybris-commerce, and Denodo are some of the popular tools that integrate with SAP HANA. Here's a list of all 8 tools that integrate with SAP HANA.
Why developers like SAP HANA?
Here’s a list of reasons why companies and developers use SAP HANA
SAP HANA's Features
- processes transactions and analytics at the same time
- built-in advanced analytics and multi-model data processing engines
SAP HANA Alternatives & Comparisons
What are some alternatives to SAP HANA?
See all alternatives
Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.
Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.
MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.
Azure Redis Cache
It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.