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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. GridGain vs. HBase vs. HugeGraph vs. Valentina Server

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. GridGain vs. HBase vs. HugeGraph vs. Valentina Server

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonGridGain  Xexclude from comparisonHBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumGridGain is an in-memory computing platform, built on Apache IgniteWide-column store based on Apache Hadoop and on concepts of BigTableA fast-speed and highly-scalable Graph DBMSObject-relational database and reports server
Primary database modelRelational DBMSKey-value store
Relational DBMS
Wide column storeGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.68
Rank#231  Overall
#105  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlwww.gridgain.comhbase.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.valentina-db.net
Technical documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewwww.gridgain.com/­docs/­index.htmlhbase.apache.org/­book.htmlhugegraph.apache.org/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupGridGain Systems, Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetBaiduParadigma Software
Initial release20162007200820181999
Current releaseGridGain 8.5.12.3.4, January 20210.95.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoApache Version 2.0commercial
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 languageJava, C++, .NetJavaJava
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
Linux
macOS
Unix
Linux
OS X
Windows
Data schemeyesyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesyes
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.yesyesnono
Secondary indexesyesyesnoyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLnonoyes
APIs and other access methodsJDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
ODBC
Supported programming languagesC
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)yes infoCoprocessors in Javaasynchronous Gremlin script jobsyes
Triggersyesyes (cache interceptors and events)yesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes (replicated cache)Multi-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBGridGainHBaseHugeGraphValentina Server
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