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DBMS > Apache IoTDB vs. Axibase vs. EsgynDB vs. Greenplum vs. InterSystems Caché

System Properties Comparison Apache IoTDB vs. Axibase vs. EsgynDB vs. Greenplum vs. InterSystems Caché

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonAxibase  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
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 FlinkScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationEnterprise-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.A multi-model DBMS and application server
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Websiteiotdb.apache.orgaxibase.com/­docs/­atsd/­financewww.esgyn.cngreenplum.orgwww.intersystems.com/­products/­cache
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.greenplum.orgdocs.intersystems.com
DeveloperApache Software FoundationAxibase CorporationEsgynPivotal Software Inc.InterSystems
Initial release20182013201520051997
Current release1.1.0, April 2023155857.0.0, September 20232018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, Java
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinuxLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyesyes
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 4.2yes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyesyesyes
APIs and other access methodsJDBC
Native API
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go
Java
PHP
Python
R
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
C#
C++
Java
Server-side scripts infoStored proceduresyesyesJava Stored Proceduresyesyes
Triggersyesyesnoyesyes
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 replicasSource-replica replicationMulti-source replication between multi datacentersSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles

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More resources
Apache IoTDBAxibaseEsgynDBGreenplumInterSystems Caché
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