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DBMS > AgensGraph vs. Apache Impala vs. EsgynDB vs. Geode vs. Greenplum

System Properties Comparison AgensGraph vs. Apache Impala vs. EsgynDB vs. Geode vs. Greenplum

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Impala  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAnalytic DBMS for HadoopEnterprise-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 processesAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Websitebitnine.net/­agensgraphimpala.apache.orgwww.esgyn.cngeode.apache.orggreenplum.org
Technical documentationbitnine.net/­documentationimpala.apache.org/­impala-docs.htmlgeode.apache.org/­docsdocs.greenplum.org
DeveloperBitnine Global Inc.Apache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Pivotal Software Inc.
Initial release20162013201520022005
Current release2.1, December 20184.1.0, June 20221.1, February 20177.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2commercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++, JavaJava
Server operating systemsLinux
OS X
Windows
LinuxLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Data schemedepending on used data modelyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes infosince Version 4.2
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesSQL-like query language (OQL)yes
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceJava Stored Proceduresuser defined functionsyes
Triggersnononoyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication between multi datacentersMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAccess rights per client and object definablefine grained access rights according to SQL-standard

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More resources
AgensGraphApache ImpalaEsgynDBGeodeGreenplum
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