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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. EsgynDB vs. Geode vs. OrigoDB vs. TerarkDB

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. EsgynDB vs. Geode vs. OrigoDB vs. TerarkDB

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonOrigoDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA fully ACID in-memory object graph databaseA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument store
Object oriented DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#228  Overall
#107  Relational DBMS
Score0.19
Rank#266  Overall
#123  Relational DBMS
Score1.36
Rank#130  Overall
#23  Key-value stores
Score0.06
Rank#312  Overall
#42  Document stores
#17  Object oriented DBMS
Score0.07
Rank#307  Overall
#51  Key-value stores
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlesgyn.comgeode.apache.orgorigodb.comgithub.com/­Terark/­terarkdb
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­35387.htmesgyn.com/­developersgeode.apache.org/­docsorigodb.com/­docsgithub.com/­Terark/­terarkdb/­wiki
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupEsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Robert Friberg et alTerark
Initial release2016201520022009 infounder the name LiveDB2016
Current release1.1, February 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaC#C++
Server operating systemshostedLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnonono infocan be achieved using .NETno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyesyesSQL-like query language (OQL)nono
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
.NET Client API
HTTP API
LINQ
C++ API
Java API
Supported programming languagesC
Java
Perl
Python
R
All languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
.NetC++
Java
Server-side scripts infoStored proceduresyesJava Stored Proceduresuser defined functionsyesno
Triggersyesnoyes infoCache Event Listenersyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMaster-master replication between multi datacentersMaster-master replicationMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights per client and object definableRole based authorizationno

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More resources
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBEsgynDBGeodeOrigoDBTerarkDB
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