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DBMS > Apache IoTDB vs. GBase vs. Google Cloud Firestore vs. Linter vs. MarkLogic

System Properties Comparison Apache IoTDB vs. GBase vs. Google Cloud Firestore vs. Linter vs. MarkLogic

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonLinter  Xexclude from comparisonMarkLogic  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 FlinkWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.RDBMS for high security requirementsOperational and transactional Enterprise NoSQL database
Primary database modelTime Series DBMSRelational DBMSDocument storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websiteiotdb.apache.orgwww.gbase.cnfirebase.google.com/­products/­firestorelinter.ruwww.progress.com/­marklogic
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlfirebase.google.com/­docs/­firestorewww.progress.com/­marklogic/­documentation
DeveloperApache Software FoundationGeneral Data Technology Co., Ltd.Googlerelex.ruMarkLogic Corp.
Initial release20182004201719902001
Current release1.1.0, April 2023GBase 8a, GBase 8s, GBase 8c11.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, PythonC and C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxhostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free infoSchema can be enforced
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.noyesnonoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageStandard with numerous extensionsnoyesyes infoSQL92
APIs and other access methodsJDBC
Native API
ADO.NET
C API
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
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
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsyes, Firebase Rules & Cloud Functionsyes infoproprietary syntax with the possibility to convert from PL/SQLyes infovia XQuery or JavaScript
Triggersyesyesyes, with Cloud Functionsyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning (by range, list and hash) and vertical partitioningShardingnoneSharding
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 replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparkUsing Cloud Dataflownoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACIDACID infocan act as a resource manager in an XA/JTA transaction
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.yesyes, with Range Indexes
User concepts infoAccess controlyesyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardRole-based access control at the document and subdocument levels

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More resources
Apache IoTDBGBaseGoogle Cloud FirestoreLinterMarkLogic
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