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

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

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  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 FlinkDistributed, high-performance timeseries databaseNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processingA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelTime Series DBMSTime Series DBMSDocument store
Relational DBMS
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websiteiotdb.apache.orgquasar.aiwww.sequoiadb.comspark.apache.org/­sqltinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldoc.quasar.ai/­masterwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationquasardbSequoiadb Ltd.Apache Software Foundation
Initial release20182009201320142009
Current release1.1.0, April 20233.14.1, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoServer: AGPL; Client: Apache V2Open 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++C++ScalaJava
Server operating systemsAll OS with a Java VM (>= 1.8)BSD
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes infooid, date, timestamp, binary, regexyesyes
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 indexesyesyes infowith tagsyesnono
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
Native API
HTTP APIproprietary protocol using JSONJDBC
ODBC
TinkerPop 3
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Groovy
Java
Server-side scripts infoStored proceduresyesnoJavaScriptnono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infoconsistent hashingShardingyes, utilizing Spark Corenone
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 replication with selectable replication factorSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkwith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynonononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDocument is locked during a transactionnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modenonoyes
User concepts infoAccess controlyesCryptographically strong user authentication and audit trailsimple password-based access controlnono

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More resources
Apache IoTDBQuasardbSequoiadbSpark SQLTinkerGraph
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