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DBMS > Apache IoTDB vs. EsgynDB vs. Greenplum vs. RisingWave vs. SAP Advantage Database Server

System Properties Comparison Apache IoTDB vs. EsgynDB vs. Greenplum vs. RisingWave vs. SAP Advantage Database Server

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonRisingWave  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded 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 FlinkEnterprise-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 distributed RDBMS for stream processing, wire-compatible with PostgreSQLLow-cost RDBMS with access to ISAM and FoxPro data structures
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
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websiteiotdb.apache.orgwww.esgyn.cngreenplum.orgwww.risingwave.com/­databasewww.sap.com/products/advantage-database-server.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.greenplum.orgdocs.risingwave.com/­docs/­current/­intro
DeveloperApache Software FoundationEsgynPivotal Software Inc.RisingWave LabsSybase, SAP
Initial release20182015200520221993
Current release1.1.0, April 20237.0.0, September 20231.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, JavaRust
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinuxDocker
Linux
macOS
Linux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesStandard SQL-types and JSONyes
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.nonoyes infosince Version 4.2nono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyesyesyes
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
PostgreSQL wire protocol
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
Go
Java
JavaScript (Node.js)
Python
Delphi
Perl
PHP
Server-side scripts infoStored proceduresyesJava Stored ProceduresyesUDFs in Python or Javayes
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingnone
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 datacentersSource-replica replicationMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnonoyesno infocaching of (temporary) tables can be configured
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers and Rolesfine grained access rights according to SQL-standard

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More resources
Apache IoTDBEsgynDBGreenplumRisingWaveSAP Advantage Database Server infoformer name: Sybase ADS
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