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DBMS > Apache IoTDB vs. EsgynDB vs. JanusGraph vs. NuoDB vs. Oracle Coherence

System Properties Comparison Apache IoTDB vs. EsgynDB vs. JanusGraph vs. NuoDB vs. Oracle Coherence

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNuoDB  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017NuoDB is a webscale distributed database that supports SQL and ACID transactionsOracles in-memory data grid solution
Primary database modelTime Series DBMSRelational DBMSGraph DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websiteiotdb.apache.orgwww.esgyn.cnjanusgraph.orgwww.3ds.com/­nuodb-distributed-sql-databasewww.oracle.com/­java/­coherence
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.janusgraph.orgdoc.nuodb.comdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software FoundationEsgynLinux Foundation; originally developed as Titan by AureliusDassault Systèmes infooriginally NuoDB, Inc.Oracle
Initial release20182015201720132007
Current release1.1.0, April 20230.6.3, February 202314.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaJavaC++Java
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
OS X
Unix
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
All OS with a Java VM
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesnoyesno
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
JCache
JPA
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetClojure
Java
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresyesJava Stored ProceduresyesJava, SQLno
Triggersyesnoyesyesyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)data is dynamically stored/cached on the nodes where it is read/writtenSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication between multi datacentersyesyes infoManaged transparently by NuoDByes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infotunable commit protocolconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTemporary tableyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph ServerStandard SQL roles/ privileges, Administrative Usersauthentification to access the cache via certificates or http basic authentication

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More resources
Apache IoTDBEsgynDBJanusGraph infosuccessor of TitanNuoDBOracle Coherence
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