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DBMS > Apache IoTDB vs. Apache Phoenix vs. EsgynDB vs. Greenplum vs. LokiJS

System Properties Comparison Apache IoTDB vs. Apache Phoenix vs. EsgynDB vs. Greenplum vs. LokiJS

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonLokiJS  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 FlinkA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.In-memory JavaScript DBMS
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Websiteiotdb.apache.orgphoenix.apache.orgwww.esgyn.cngreenplum.orggithub.com/­techfort/­LokiJS
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlphoenix.apache.orgdocs.greenplum.orgtechfort.github.io/­LokiJS
DeveloperApache Software FoundationApache Software FoundationEsgynPivotal Software Inc.
Initial release20182014201520052014
Current release1.1.0, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20197.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, JavaJavaScript
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Unix
Windows
LinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononoyes infosince Version 4.2no
Secondary indexesyesyesyesyesyes infovia views
SQL infoSupport of SQLSQL-like query languageyesyesyesno
APIs and other access methodsJDBC
Native API
JDBCADO.NET
JDBC
ODBC
JDBC
ODBC
JavaScript API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
JavaScript
Server-side scripts infoStored proceduresyesuser defined functionsJava Stored ProceduresyesView functions in JavaScript
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingShardingnone
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
Source-replica replication
Multi-source replication between multi datacentersSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparkHadoop integrationyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes
User concepts infoAccess controlyesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Apache IoTDBApache PhoenixEsgynDBGreenplumLokiJS
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