DBMS > Greenplum vs. InfinityDB vs. Postgres-XL vs. SAP Advantage Database Server

System Properties Comparison Greenplum vs. InfinityDB vs. Postgres-XL vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Greenplum  Xexclude from comparison	InfinityDB  Xexclude from comparison	Postgres-XL  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison
				SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.	A Java embedded Key-Value Store which extends the Java Map interface	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Relational DBMS	Key-value store	Relational DBMS	Relational DBMS
Secondary database models	Document store Spatial DBMS		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 8.08 Rank #48   Overall #31   Relational DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	greenplum.org	boilerbay.com	www.postgres-xl.org	www.sap.com/products/advantage-database-server.html
Technical documentation	docs.greenplum.org	boilerbay.com/­infinitydb/­manual	www.postgres-xl.org/­documentation
Developer	Pivotal Software Inc.	Boiler Bay Inc.		Sybase, SAP
Initial release	2005	2002	2014 since 2012, originally named StormDB	1993
Current release	7.0.0, September 2023	4.0	10 R1, October 2018
License Commercial or Open Source	Open Source Apache 2.0	commercial	Open Source Mozilla public license	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		Java	C
Server operating systems	Linux	All OS with a Java VM	Linux macOS	Linux Windows
Data scheme	yes	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	yes	yes
Typing predefined data types such as float or date	yes	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	yes	yes
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.	yes since Version 4.2	no	yes XML type, but no XML query functionality	no
Secondary indexes	yes	no manual creation possible, using inversions based on multi-value capability	yes	yes
SQL Support of SQL	yes	no	yes distributed, parallel query execution	yes
APIs and other access methods	JDBC ODBC	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	ADO.NET JDBC native C library ODBC streaming API for large objects	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	C Java Perl Python R	Java	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	Delphi Perl PHP
Server-side scripts Stored procedures	yes	no	user defined functions	yes
Triggers	yes	no	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	none	horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	none		Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency READ-COMMITTED or SERIALIZED	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes	no manual creation possible, using inversions based on multi-value capability	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID Optimistic locking for transactions; no isolation for bulk loads	ACID MVCC	ACID
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	no	no	no caching of (temporary) tables can be configured
User concepts Access control	fine grained access rights according to SQL-standard	no	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	Greenplum	InfinityDB	Postgres-XL	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news	1. Introducing the Greenplum Database - Data Warehousing with Greenplum [Book] 6 December 2018, oreilly.com VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale | Amazon Web Services 9 September 2019, AWS Blog RSA: EMC integrates Hadoop with Greenplum database 26 February 2013, DatacenterDynamics Greenplum 6 ventures outside the analytic box | ZDNET 19 March 2019, ZDNet Greenplum 6 review: Jack of all trades, master of some 7 November 2019, InfoWorld provided by Google News			SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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