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DBMS > AnzoGraph DB vs. EsgynDB vs. Greenplum vs. IRONdb vs. Oracle Coherence

System Properties Comparison AnzoGraph DB vs. EsgynDB vs. Greenplum vs. IRONdb vs. Oracle Coherence

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonIRONdb  Xexclude from comparisonOracle Coherence  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic 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.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOracles in-memory data grid solution
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSTime Series DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Websitecambridgesemantics.com/­anzographwww.esgyn.cngreenplum.orgwww.circonus.com/solutions/time-series-database/www.oracle.com/­java/­coherence
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.greenplum.orgdocs.circonus.com/irondb/category/getting-starteddocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperCambridge SemanticsEsgynPivotal Software Inc.Circonus LLC.Oracle
Initial release20182015200520172007
Current release2.3, January 20217.0.0, September 2023V0.10.20, January 201814.1, August 2023
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC and C++Java
Server operating systemsLinuxLinuxLinuxLinuxAll OS with a Java VM
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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.nonoyes infosince Version 4.2nono
Secondary indexesnoyesyesnono
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
JDBC
ODBC
HTTP APIJCache
JPA
RESTful HTTP API
Supported programming languagesC++
Java
Python
All languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Proceduresyesyes, in Luano
Triggersnonoyesnoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication between multi datacentersSource-replica replicationconfigurable replication factor, datacenter awareyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononoyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoauthentification to access the cache via certificates or http basic authentication

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More resources
AnzoGraph DBEsgynDBGreenplumIRONdbOracle Coherence
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