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DBMS > Apache IoTDB vs. EsgynDB vs. FeatureBase vs. Greenplum vs. MaxDB

System Properties Comparison Apache IoTDB vs. EsgynDB vs. FeatureBase vs. Greenplum vs. MaxDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonGreenplum  Xexclude from comparisonMaxDB infoformerly named Adabas-D  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 TrafodionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Analytic 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 robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
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
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Websiteiotdb.apache.orgwww.esgyn.cnwww.featurebase.comgreenplum.orgmaxdb.sap.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.featurebase.comdocs.greenplum.orgmaxdb.sap.com/­documentation
DeveloperApache Software FoundationEsgynMolecula and Pilosa Open Source ContributorsPivotal Software Inc.SAP, acquired from Software AG (Adabas-D) in 1997
Initial release20182015201720051984
Current release1.1.0, April 20232022, May 20227.0.0, September 20237.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaGoC++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
macOS
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesyesyes
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.nononoyes infosince Version 4.2no
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query languageyesSQL queriesyesyes
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetJava
Python
C
Java
Perl
Python
R
.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresyesJava Stored Proceduresyesyes
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 between multi datacentersyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyesyes
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-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache IoTDBEsgynDBFeatureBaseGreenplumMaxDB infoformerly named Adabas-D
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