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DBMS > Apache IoTDB vs. DolphinDB vs. Fauna vs. GridGain vs. STSdb

System Properties Comparison Apache IoTDB vs. DolphinDB vs. Fauna vs. GridGain vs. STSdb

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGridGain  Xexclude from comparisonSTSdb  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 FlinkDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.GridGain is an in-memory computing platform, built on Apache IgniteKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSTime Series DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#183  Overall
#15  Time Series DBMS
Score4.14
Rank#85  Overall
#6  Time Series DBMS
Score1.63
Rank#155  Overall
#28  Document stores
#14  Graph DBMS
#70  Relational DBMS
#13  Time Series DBMS
Score1.59
Rank#158  Overall
#26  Key-value stores
#73  Relational DBMS
Score0.13
Rank#344  Overall
#51  Key-value stores
Websiteiotdb.apache.orgwww.dolphindb.comfauna.comwww.gridgain.comgithub.com/­STSSoft/­STSdb4
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.dolphindb.cn/­en/­help200/­index.htmldocs.fauna.comwww.gridgain.com/­docs/­index.html
DeveloperApache Software FoundationDolphinDB, IncFauna, Inc.GridGain Systems, Inc.STS Soft SC
Initial release20182018201420072011
Current release1.1.0, April 2023v2.00.4, January 2022GridGain 8.5.14.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community version availablecommercialcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ScalaJava, C++, .NetC#
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
hostedLinux
OS X
Solaris
Windows
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes infoprimitive types and user defined types (classes)
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
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBC
Native API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
Server-side scripts infoStored proceduresyesyesuser defined functionsyes (compute grid and cache interceptors can be used instead)no
Triggersyesnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioninghorizontal partitioning infoconsistent hashingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesMulti-source replicationyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDno
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.yesyesnoyes
User concepts infoAccess controlyesAdministrators, Users, GroupsIdentity management, authentication, and access controlSecurity Hooks for custom implementationsno

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More resources
Apache IoTDBDolphinDBFauna infopreviously named FaunaDBGridGainSTSdb
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