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DBMS > Apache IoTDB vs. Datomic vs. EJDB vs. Galaxybase vs. NuoDB

System Properties Comparison Apache IoTDB vs. Datomic vs. EJDB vs. Galaxybase vs. NuoDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDatomic  Xexclude from comparisonEJDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonNuoDB  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 FlinkDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Scalable, ACID-compliant native distributed parallel graph platformNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelTime Series DBMSRelational DBMSDocument storeGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Websiteiotdb.apache.orgwww.datomic.comgithub.com/­Softmotions/­ejdbgalaxybase.comwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.datomic.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddoc.nuodb.com
DeveloperApache Software FoundationCognitectSoftmotionsChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Dassault Systèmes infooriginally NuoDB, Inc.
Initial release20182012201220172013
Current release1.1.0, April 20231.0.6735, June 2023Nov 20, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freeOpen Source infoGPLv2commercialcommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureCC and JavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMserver-lessLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyesyesschema-freeStrong typed schemayes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenononoyes
APIs and other access methodsJDBC
Native API
RESTful HTTP APIin-process shared libraryBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Clojure
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsnouser defined procedures and functionsJava, SQL
TriggersyesBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)none infoBut extensive use of caching in the application peersnoneShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnone infoBut extensive use of caching in the application peersnoneyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possibleyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes infoMVCC
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesyes infoTemporary table
User concepts infoAccess controlyesnonoRole-based access controlStandard SQL roles/ privileges, Administrative Users

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More resources
Apache IoTDBDatomicEJDBGalaxybaseNuoDB
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