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

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

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Editorial information provided by DB-Engines
Name	GridGain  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	GridGain is an in-memory computing platform, built on Apache Ignite	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	Key-value store Relational DBMS	Key-value store	Relational DBMS	Relational DBMS
Secondary database models			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.55 Rank #150   Overall #26   Key-value stores #70   Relational DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	www.gridgain.com	boilerbay.com	www.postgres-xl.org	www.sap.com/products/advantage-database-server.html
Technical documentation	www.gridgain.com/­docs/­index.html	boilerbay.com/­infinitydb/­manual	www.postgres-xl.org/­documentation
Developer	GridGain Systems, Inc.	Boiler Bay Inc.		Sybase, SAP
Initial release	2007	2002	2014 since 2012, originally named StormDB	1993
Current release	GridGain 8.5.1	4.0	10 R1, October 2018
License Commercial or Open Source	commercial	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++, .Net	Java	C
Server operating systems	Linux OS X Solaris Windows	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	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	ANSI-99 for query and DML statements, subset of DDL	no	yes distributed, parallel query execution	yes
APIs and other access methods	HDFS API Hibernate JCache JDBC ODBC Proprietary protocol RESTful HTTP API Spring Data	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# C++ Java PHP Python Ruby Scala	Java	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	Delphi Perl PHP
Server-side scripts Stored procedures	yes (compute grid and cache interceptors can be used instead)	no	user defined functions	yes
Triggers	yes (cache interceptors and events)	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	yes (replicated cache)	none		Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes (compute grid and hadoop accelerator)	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	no	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.	yes	no	no	no caching of (temporary) tables can be configured
User concepts Access control	Security Hooks for custom implementations	no	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	GridGain	InfinityDB	Postgres-XL	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news	GridGain's 2023 Growth Positions Company for Strong 2024 24 January 2024, PR Newswire GridGain in-memory data and generative AI – Blocks and Files 10 May 2024, Blocks & Files GridGain Unified Real-Time Data Platform Version 8.9 Addresses Today's More Complex Real-Time Data Processing ... 12 October 2023, GlobeNewswire GridGain Announces Call for Speakers for Virtual Apache Ignite Summit 2024 8 February 2024, PR Newswire GridGain: Product Overview and Analysis 5 June 2019, eWeek 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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