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DBMS > Apache IoTDB vs. Sequoiadb vs. Spark SQL vs. TerminusDB vs. TinkerGraph

System Properties Comparison Apache IoTDB vs. Sequoiadb vs. Spark SQL vs. TerminusDB vs. TinkerGraph

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTinkerGraph  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 FlinkNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processingScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelTime Series DBMSDocument store
Relational DBMS
Relational DBMSGraph DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websiteiotdb.apache.orgwww.sequoiadb.comspark.apache.org/­sqlterminusdb.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.htmlterminusdb.github.io/­terminusdb/­#
DeveloperApache Software FoundationSequoiadb Ltd.Apache Software FoundationDataChemist Ltd.
Initial release20182013201420182009
Current release1.1.0, April 20233.5.0 ( 2.13), September 202311.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0Open Source infoGPL V3Open 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++ScalaProlog, RustJava
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
OS X
Windows
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regexyesyesyes
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.nonononono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like DML and DDL statementsSQL-like query language (WOQL)no
APIs and other access methodsJDBC
Native API
proprietary protocol using JSONJDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
TinkerPop 3
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
JavaScript
Python
Groovy
Java
Server-side scripts infoStored proceduresyesJavaScriptnoyesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingyes, utilizing Spark CoreGraph Partitioningnone
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 replicationnoneJournaling Streamsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistencynone
Foreign keys infoReferential integritynononoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoDocument is locked during a transactionnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlyessimple password-based access controlnoRole-based access controlno

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More resources
Apache IoTDBSequoiadbSpark SQLTerminusDB infoformer name was DataChemistTinkerGraph
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