DBMS > Greenplum vs. Hawkular Metrics vs. HugeGraph vs. SAP Advantage Database Server

System Properties Comparison Greenplum vs. Hawkular Metrics vs. HugeGraph vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Greenplum  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	HugeGraph  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.	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	A fast-speed and highly-scalable Graph DBMS	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Relational DBMS	Time Series DBMS	Graph DBMS	Relational DBMS
Secondary database models	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 #366   Overall #39   Time Series DBMS	Score 0.17 Rank #335   Overall #31   Graph DBMS
Website	greenplum.org	www.hawkular.org	github.com/­hugegraph hugegraph.apache.org	www.sap.com/products/advantage-database-server.html
Technical documentation	docs.greenplum.org	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	hugegraph.apache.org/­docs
Developer	Pivotal Software Inc.	Community supported by Red Hat	Baidu	Sybase, SAP
Initial release	2005	2014	2018	1993
Current release	7.0.0, September 2023		0.9
License Commercial or Open Source	Open Source Apache 2.0	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		Java	Java
Server operating systems	Linux	Linux OS X Windows	Linux macOS Unix	Linux Windows
Data scheme	yes	schema-free	yes	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.	yes since Version 4.2	no	no	no
Secondary indexes	yes	no	yes also supports composite index and range index	yes
SQL Support of SQL	yes	no	no	yes
APIs and other access methods	JDBC ODBC	HTTP REST	Java API RESTful HTTP API TinkerPop Gremlin	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	C Java Perl Python R	Go Java Python Ruby	Groovy Java Python	Delphi Perl PHP
Server-side scripts Stored procedures	yes	no	asynchronous Gremlin script jobs	yes
Triggers	yes	yes via Hawkular Alerting	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding based on Cassandra	yes depending on used storage backend, e.g. Cassandra and HBase	none
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	selectable replication factor based on Cassandra	yes depending on used storage backend, e.g. Cassandra and HBase	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes	no	via hugegraph-spark	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	yes	no	yes edges in graph	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	ACID	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	yes	no caching of (temporary) tables can be configured
User concepts Access control	fine grained access rights according to SQL-standard	no	Users, roles and permissions	fine grained access rights according to SQL-standard
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More resources
	Greenplum	Hawkular Metrics	HugeGraph	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news	VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale | Amazon Web Services 9 September 2019, AWS Blog 1. Introducing the Greenplum Database - Data Warehousing with Greenplum [Book] 6 December 2018, O'Reilly Media 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 EMC Introduces Breakthrough 'Big Data' Computing System 13 October 2010, PR Newswire 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	Critical Apache HugeGraph Flaw Let Attackers Execute Remote Code 23 April 2024, GBHackers 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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