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DBMS > AnzoGraph DB vs. EJDB vs. etcd vs. eXtremeDB vs. OrigoDB

System Properties Comparison AnzoGraph DB vs. EJDB vs. etcd vs. eXtremeDB vs. OrigoDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEJDB  Xexclude from comparisonetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringA fully ACID in-memory object graph database
Primary database modelGraph DBMS
RDF store
Document storeKey-value storeRelational DBMS
Time Series DBMS
Document store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.13
Rank#331  Overall
#46  Document stores
Score7.05
Rank#53  Overall
#5  Key-value stores
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Websitecambridgesemantics.com/­anzographgithub.com/­Softmotions/­ejdbetcd.io
github.com/­etcd-io/­etcd
www.mcobject.comorigodb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmorigodb.com/­docs
DeveloperCambridge SemanticsSoftmotionsMcObjectRobert Friberg et al
Initial release2018201220012009 infounder the name LiveDB
Current release2.3, January 20213.4, August 20198.2, 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGPLv2Open Source infoApache Version 2.0commercialOpen Source
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 languageCGoC and C++C#
Server operating systemsLinuxserver-lessFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnoyesUser defined using .NET types and collections
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.nonono infosupport of XML interfaces availableno infocan be achieved using .NET
Secondary indexesnononoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoyes infowith the option: eXtremeSQLno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
in-process shared librarygRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Supported programming languagesC++
Java
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyesyes
Triggersnonoyes, watching key changesyes infoby defining eventsyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonehorizontal partitioning / shardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusternoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsno infotypically not needed, however similar functionality with collection joins possiblenoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesnonoRole based authorization

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More resources
AnzoGraph DBEJDBetcdeXtremeDBOrigoDB
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