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DBMS > Apache IoTDB vs. EsgynDB vs. HugeGraph vs. IBM Cloudant vs. OpenEdge

System Properties Comparison Apache IoTDB vs. EsgynDB vs. HugeGraph vs. IBM Cloudant vs. OpenEdge

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonOpenEdge  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 fast-speed and highly-scalable Graph DBMSDatabase as a Service offering based on Apache CouchDBApplication development environment with integrated database management system
Primary database modelTime Series DBMSRelational DBMSGraph DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Websiteiotdb.apache.orgwww.esgyn.cngithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­cloudantwww.progress.com/­openedge
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlhugegraph.apache.org/­docscloud.ibm.com/­docs/­Cloudantdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperApache Software FoundationEsgynBaiduIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Progress Software Corporation
Initial release20182015201820101984
Current release1.1.0, April 20230.9OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, JavaJavaErlang
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
macOS
Unix
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononoyes
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSQL-like query languageyesnonoyes infoclose to SQL 92
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetGroovy
Java
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresyesJava Stored Proceduresasynchronous Gremlin script jobsView functions (Map-Reduce) in JavaScriptyes
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardinghorizontal partitioning infosince Version 11.4
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 datacentersyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesvia hugegraph-sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
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.yesnoyesnono
User concepts infoAccess controlyesfine grained access rights according to SQL-standardUsers, roles and permissionsAccess rights for users can be defined per databaseUsers and groups

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More resources
Apache IoTDBEsgynDBHugeGraphIBM CloudantOpenEdge
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