DBMS > EsgynDB vs. GigaSpaces vs. Hawkular Metrics vs. SAP Advantage Database Server

System Properties Comparison EsgynDB vs. GigaSpaces vs. Hawkular Metrics vs. SAP Advantage Database Server

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Name	EsgynDB  Xexclude from comparison	GigaSpaces  Xexclude from comparison	Hawkular Metrics  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	Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion	High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Relational DBMS	Document store Object oriented DBMS Values are user defined objects	Time Series DBMS	Relational DBMS
Secondary database models		Graph DBMS Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.25 Rank #312   Overall #138   Relational DBMS	Score 1.03 Rank #188   Overall #32   Document stores #6   Object oriented DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS
Website	www.esgyn.cn	www.gigaspaces.com	www.hawkular.org	www.sap.com/products/advantage-database-server.html
Technical documentation		docs.gigaspaces.com/­latest/­landing.html	www.hawkular.org/­hawkular-metrics/­docs/­user-guide
Developer	Esgyn	Gigaspaces Technologies	Community supported by Red Hat	Sybase, SAP
Initial release	2015	2000	2014	1993
Current release		15.5, September 2020
License Commercial or Open Source	commercial	Open Source Apache Version 2; Commercial licenses available	Open Source Apache 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	C++, Java	Java, C++, .Net	Java
Server operating systems	Linux	Linux macOS Solaris Windows	Linux OS X Windows	Linux Windows
Data scheme	yes	schema-free	schema-free	yes
Typing predefined data types such as float or date	yes	yes	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.	no	no XML can be used for describing objects metadata	no	no
Secondary indexes	yes	yes	no	yes
SQL Support of SQL	yes	SQL-99 for query and DML statements	no	yes
APIs and other access methods	ADO.NET JDBC ODBC	GigaSpaces LRMI Hibernate JCache JDBC JPA ODBC RESTful HTTP API Spring Data	HTTP REST	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	All languages supporting JDBC/ODBC/ADO.Net	.Net C++ Java Python Scala	Go Java Python Ruby	Delphi Perl PHP
Server-side scripts Stored procedures	Java Stored Procedures	yes	no	yes
Triggers	no	yes, event driven architecture	yes via Hawkular Alerting	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	Sharding based on Cassandra	none
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication between multi datacenters	Multi-source replication synchronous or asynchronous Source-replica replication synchronous or asynchronous	selectable replication factor based on Cassandra	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes	yes Map-Reduce pattern can be built with XAP task executors	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency Consistency level configurable: ALL, QUORUM, ANY	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency
Foreign keys Referential integrity	yes	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	no	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	yes	no	no caching of (temporary) tables can be configured
User concepts Access control	fine grained access rights according to SQL-standard	Role-based access control	no	fine grained access rights according to SQL-standard
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More resources
	EsgynDB	GigaSpaces	Hawkular Metrics	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news		Gigaspaces: Accelerate Your Digital Transformation & Applications 13 June 2024, gigaspaces.com GigaSpaces to hand out almost $14 million in dividends following Cloudify’s acquisition by Dell 19 July 2023, CTech Data Sciences Corporation partners with GigaSpaces Technologies to usher DIH technology to enterprises in SA 10 October 2023, ITWeb GigaSpaces Announces Version 16.0 with Breakthrough Data Integration Tools to Ease Enterprises' Digital ... 3 November 2021, PR Newswire The insideBIGDATA IMPACT 50 List for Q1 2024 18 January 2024, insideBIGDATA provided by Google News	Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass 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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