DBMS > SAP Advantage Database Server vs. Spark SQL vs. Tkrzw vs. Transwarp Hippo

System Properties Comparison SAP Advantage Database Server vs. Spark SQL vs. Tkrzw vs. Transwarp Hippo

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Name	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	Spark SQL  Xexclude from comparison	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison	Transwarp Hippo  Xexclude from comparison
	SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Low-cost RDBMS with access to ISAM and FoxPro data structures	Spark SQL is a component on top of 'Spark Core' for structured data processing	A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet	Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database model	Relational DBMS	Relational DBMS	Key-value store	Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 18.04 Rank #33   Overall #20   Relational DBMS	Score 0.07 Rank #372   Overall #57   Key-value stores	Score 0.05 Rank #386   Overall #16   Vector DBMS
Website	www.sap.com/products/advantage-database-server.html	spark.apache.org/­sql	dbmx.net/­tkrzw	www.transwarp.cn/­en/­subproduct/­hippo
Technical documentation		spark.apache.org/­docs/­latest/­sql-programming-guide.html
Developer	Sybase, SAP	Apache Software Foundation	Mikio Hirabayashi
Initial release	1993	2014	2020	2023
Current release		3.5.0 ( 2.13), September 2023	0.9.3, August 2020	1.0, May 2023
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source Apache Version 2.0	commercial
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Scala	C++	C++
Server operating systems	Linux Windows	Linux OS X Windows	Linux macOS	Linux macOS
Data scheme	yes	yes	schema-free
Typing predefined data types such as float or date	yes	yes	no	Vector, Numeric and String
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	no	no
Secondary indexes	yes	no		no
SQL Support of SQL	yes	SQL-like DML and DDL statements	no	no
APIs and other access methods	.NET Client API ADO.NET JDBC ODBC OLE DB	JDBC ODBC		RESTful HTTP API
Supported programming languages	Delphi Perl PHP	Java Python R Scala	C++ Java Python Ruby	C++ Java Python
Server-side scripts Stored procedures	yes	no	no	no
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	none	yes, utilizing Spark Core	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication	none	none
MapReduce Offers an API for user-defined Map/Reduce methods	no		no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency		Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no		no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no caching of (temporary) tables can be configured	no	yes using specific database classes	yes
User concepts Access control	fine grained access rights according to SQL-standard	no	no	Role based access control and fine grained access rights
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More resources
	SAP Advantage Database Server former name: Sybase ADS	Spark SQL	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet	Transwarp Hippo
Recent citations in the news	SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News	Use Amazon Athena with Spark SQL for your open-source transactional table formats | Amazon Web Services 24 January 2024, AWS Blog What is Apache Spark? The big data platform that crushed Hadoop 3 April 2024, InfoWorld Cracking the Apache Spark Interview: 80+ Top Questions and Answers for 2024 1 April 2024, Simplilearn Performant IPv4 Range Spark Joins | by Jean-Claude Cote 24 January 2024, Towards Data Science Simba Technologies(R) Introduces New, Powerful JDBC Driver With SQL Connector for Apache Spark(TM) 17 March 2024, Yahoo Singapore News provided by Google News

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