Table of Contents
SAP HANA
TLDR: SAP HANA, introduced in 2010, is an in-memory relational database and analytics platform designed for real-time processing of large-scale data. It supports a variety of data types and provides advanced SQL capabilities, enabling high-speed transactional and analytical workloads. SAP HANA is widely used in industries like retail, finance, and healthcare for applications requiring fast insights, such as predictive analytics, real-time monitoring, and operational reporting.
SAP HANA integrates seamlessly with hybrid and cloud database environments, offering features such as in-memory storage, multi-model data handling, and built-in machine learning algorithms. It supports compatibility with programming terms like Python, Java, and C Sharp, and offers robust security measures, including encryption and role-based access control. Its ability to combine transactional and analytical workloads on a single platform makes it an essential tool for organizations focused on modern data science and data analytics applications.
Database: Databases on Kubernetes, Databases on Containers / Databases on Docker, Cloud Databases (DBaaS). Database Features, Concurrent Programming and Databases, Functional Concurrent Programming and Databases, Async Programming and Databases, Database Security, Database Products (MySQL, Oracle Database, Microsoft SQL Server, MongoDB, PostgreSQL, SQLite, Amazon RDS, IBM Db2, MariaDB, Redis, Cassandra, Amazon Aurora, Microsoft Azure SQL Database, Neo4j, Google Cloud SQL, Firebase Realtime Database, Apache HBase, Amazon DynamoDB, Couchbase Server, Elasticsearch, Teradata Database, Memcached, Amazon Redshift, SQLite, CouchDB, Apache Kafka, IBM Informix, SAP HANA, RethinkDB, InfluxDB, MarkLogic, ArangoDB, RavenDB, VoltDB, Apache Derby, Cosmos DB, Hive, Apache Flink, Google Bigtable, Hadoop, HP Vertica, Alibaba Cloud Table Store, InterSystems Caché, Greenplum, Apache Ignite, FoundationDB, Amazon Neptune, FaunaDB, QuestDB, Presto, TiDB, NuoDB, ScyllaDB, Percona Server for MySQL, Apache Phoenix, EventStoreDB, SingleStore, Aerospike, MonetDB, Google Cloud Spanner, SQream, GridDB, MaxDB, RocksDB, TiKV, Oracle NoSQL Database, Google Firestore, Druid, SAP IQ, Yellowbrick Data, InterSystems IRIS, InterBase, Kudu, eXtremeDB, OmniSci, Altibase, Google Cloud Bigtable, Amazon QLDB, Hypertable, ApsaraDB for Redis, Pivotal Greenplum, MapR Database, Informatica, Microsoft Access, Tarantool, Blazegraph, NeoDatis, FileMaker, ArangoDB, RavenDB, AllegroGraph, Alibaba Cloud ApsaraDB for PolarDB, DuckDB, Starcounter, EventStore, ObjectDB, Alibaba Cloud AnalyticDB for PostgreSQL, Akumuli, Google Cloud Datastore, Skytable, NCache, FaunaDB, OpenEdge, Amazon DocumentDB, HyperGraphDB, Citus Data, Objectivity/DB). Database drivers (JDBC, ODBC), ORM (Hibernate, Microsoft Entity Framework), SQL Operators and Functions, Database IDEs (JetBrains DataSpell, SQL Server Management Studio, MySQL Workbench, Oracle SQL Developer, SQLiteStudio), Database keywords, SQL (SQL keywords - (navbar_sql), Relational databases, DB ranking, Database topics, Data science (navbar_datascience), Apache CouchDB, Oracle Database (navbar_oracledb), MySQL (navbar_mysql), SQL Server (T-SQL - Transact-SQL, navbar_sqlserver), PostgreSQL (navbar_postgresql), MongoDB (navbar_mongodb), Redis, IBM Db2 (navbar_db2), Elasticsearch, Cassandra (navbar_cassandra), Splunk (navbar_splunk), Azure SQL Database, Azure Cosmos DB (navbar_azuredb), Hive, Amazon DynamoDB (navbar_amazondb), Snowflake, Neo4j, Google BigQuery, Google BigTable (navbar_googledb), HBase, ScyllaDB, DuckDB, SQLite, Database Bibliography, Manning Data Science Series, Database Awesome list (navbar_database - see also navbar_datascience, navbar_data_engineering, navbar_cloud_databases, navbar_aws_databases, navbar_azure_databases, navbar_gcp_databases, navbar_ibm_cloud_databases, navbar_oracle_cloud_databases, navbar_scylladb)
Database Navbar
Database | Database management system:
Related Topics:
Category:Database_management_systems | Category
Cloud Monk is Retired ( for now). Buddha with you. © 2025 and Beginningless Time - Present Moment - Three Times: The Buddhas or Fair Use. Disclaimers
SYI LU SENG E MU CHYWE YE. NAN. WEI LA YE. WEI LA YE. SA WA HE.