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DBMS > AgensGraph vs. eXtremeDB vs. Geode vs. Heroic

System Properties Comparison AgensGraph vs. eXtremeDB vs. Geode vs. Heroic

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGeode  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLNatively in-memory DBMS with options for persistency, high-availability and clusteringGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS
Time Series DBMS
Key-value storeTime Series 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
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websitebitnine.net/­agensgraphwww.mcobject.comgeode.apache.orggithub.com/­spotify/­heroic
Technical documentationbitnine.net/­documentationwww.mcobject.com/­docs/­extremedb.htmgeode.apache.org/­docsspotify.github.io/­heroic
DeveloperBitnine Global Inc.McObjectOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Spotify
Initial release2016200120022014
Current release2.1, December 20188.2, 20211.1, February 2017
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++JavaJava
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java VM infothe JDK (8 or later) is also required
Data schemedepending on used data modelyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infosupport of XML interfaces availablenono
Secondary indexesyesyesnoyes infovia Elasticsearch
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLSQL-like query language (OQL)no
APIs and other access methodsCypher Query Language
JDBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
Server-side scripts infoStored proceduresyesyesuser defined functionsno
Triggersnoyes infoby defining eventsyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioning / shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definable
More information provided by the system vendor
AgensGrapheXtremeDBGeodeHeroic
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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AgensGrapheXtremeDBGeodeHeroic
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