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DBMS > EJDB vs. Faircom DB vs. JanusGraph vs. OpenMLDB vs. TerarkDB

System Properties Comparison EJDB vs. Faircom DB vs. JanusGraph vs. OpenMLDB vs. TerarkDB

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOpenMLDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017An open-source machine learning database that provides a feature platform for training and inferenceA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument storeKey-value store
Relational DBMS
Graph DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitegithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-dbjanusgraph.orgopenmldb.aigithub.com/­bytedance/­terarkdb
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.janusgraph.orgopenmldb.ai/­docs/­zh/­mainbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperSoftmotionsFairCom CorporationLinux Foundation; originally developed as Titan by Aurelius4 Paradigm Inc.ByteDance, originally Terark
Initial release20121979201720202016
Current releaseV12, November 20200.6.3, February 20232024-2 February 2024
License infoCommercial or Open SourceOpen Source infoGPLv2commercial infoRestricted, free version availableOpen Source infoApache 2.0Open Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCANSI C, C++JavaC++, Java, ScalaC++
Server operating systemsserver-lessAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yesFixed schemaschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyes, ANSI SQL Types, JSON, typed binary structuresyesyesno
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
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsnoyesno
APIs and other access methodsin-process shared libraryADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
SQLAlchemy
C++ API
Java API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Clojure
Java
Python
C++
Go
Java
Python
Scala
C++
Java
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually ConsistentACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoFine grained access rights according to SQL-standard with additional protections for filesUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardno

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More resources
EJDBFaircom DB infoformerly c-treeACEJanusGraph infosuccessor of TitanOpenMLDBTerarkDB
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