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DBMS > Apache IoTDB vs. Google Cloud Bigtable vs. MarkLogic vs. Sequoiadb vs. SQL.JS

System Properties Comparison Apache IoTDB vs. Google Cloud Bigtable vs. MarkLogic vs. Sequoiadb vs. SQL.JS

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMarkLogic  Xexclude from comparisonSequoiadb  Xexclude from comparisonSQL.JS  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 FlinkGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Operational and transactional Enterprise NoSQL databaseNewSQL database with distributed OLTP and SQLPort of SQLite to JavaScript
Primary database modelTime Series DBMSKey-value store
Wide column store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websiteiotdb.apache.orgcloud.google.com/­bigtablewww.progress.com/­marklogicwww.sequoiadb.comsql.js.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcloud.google.com/­bigtable/­docswww.progress.com/­marklogic/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexsql.js.org/­documentation/­index.html
DeveloperApache Software FoundationGoogleMarkLogic Corp.Sequoiadb Ltd.Alon Zakai infoenhancements implemented by others
Initial release20182015200120132012
Current release1.1.0, April 202311.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial inforestricted free version is availableOpen Source infoServer: AGPL; Client: Apache V2Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++JavaScript
Server operating systemsAll OS with a Java VM (>= 1.8)hostedLinux
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes infooid, date, timestamp, binary, regexyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infoSQL92SQL-like query languageyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
Native API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
proprietary protocol using JSONJavaScript API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
JavaScript
Server-side scripts infoStored proceduresyesnoyes infovia XQuery or JavaScriptJavaScriptno
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasInternal replication in Colossus, and regional replication between two clusters in different zonesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACID infocan act as a resource manager in an XA/JTA transactionDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, with Range Indexesnoyes
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control at the document and subdocument levelssimple password-based access controlno

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More resources
Apache IoTDBGoogle Cloud BigtableMarkLogicSequoiadbSQL.JS
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