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DBMS > EJDB vs. EsgynDB vs. HugeGraph vs. OrientDB vs. RRDtool

System Properties Comparison EJDB vs. EsgynDB vs. HugeGraph vs. OrientDB vs. RRDtool

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonOrientDB  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA fast-speed and highly-scalable Graph DBMSMulti-model DBMS (Document, Graph, Key/Value)Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelDocument storeRelational DBMSGraph DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitegithub.com/­Softmotions/­ejdbwww.esgyn.cngithub.com/­hugegraph
hugegraph.apache.org
orientdb.orgoss.oetiker.ch/­rrdtool
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdhugegraph.apache.org/­docswww.orientdb.com/­docs/­last/­index.htmloss.oetiker.ch/­rrdtool/­doc
DeveloperSoftmotionsEsgynBaiduOrientDB LTD; CallidusCloud; SAPTobias Oetiker
Initial release20122015201820101999
Current release0.93.2.29, March 20241.8.0, 2022
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoGPL V2 and FLOSS
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 languageCC++, JavaJavaJavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsserver-lessLinuxLinux
macOS
Unix
All OS with a Java JDK (>= JDK 6)HP-UX
Linux
Data schemeschema-freeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyesNumeric data only
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.nononono infoExporting into and restoring from XML files possible
Secondary indexesnoyesyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLnoyesnoSQL-like query language, no joinsno
APIs and other access methodsin-process shared libraryADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
in-process shared library
Pipes
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetGroovy
Java
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresasynchronous Gremlin script jobsJava, Javascriptno
TriggersnononoHooksno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparkno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesyes infoedges in graphyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes infoby using the rrdcached daemon
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.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers, roles and permissionsAccess rights for users and roles; record level security configurableno

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More resources
EJDBEsgynDBHugeGraphOrientDBRRDtool
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