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DBMS > Apache IoTDB vs. EsgynDB vs. GridGain vs. TinkerGraph vs. Trafodion

System Properties Comparison Apache IoTDB vs. EsgynDB vs. GridGain vs. TinkerGraph vs. Trafodion

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonGridGain  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. 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 TrafodionGridGain is an in-memory computing platform, built on Apache IgniteA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APITransactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSRelational DBMSKey-value store
Relational DBMS
Graph DBMSRelational 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
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websiteiotdb.apache.orgwww.esgyn.cnwww.gridgain.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlintrafodion.apache.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.gridgain.com/­docs/­index.htmltrafodion.apache.org/­documentation.html
DeveloperApache Software FoundationEsgynGridGain Systems, Inc.Apache Software Foundation, originally developed by HP
Initial release20182015200720092014
Current release1.1.0, April 2023GridGain 8.5.12.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaJava, C++, .NetJavaC++, Java
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesschema-freeyes
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.nonoyesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyesANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
TinkerPop 3ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)noJava Stored Procedures
Triggersyesnoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingnoneSharding
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 (replicated cache)noneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesyes (compute grid and hadoop accelerator)noyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standard

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More resources
Apache IoTDBEsgynDBGridGainTinkerGraphTrafodion
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