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DBMS > Apache IoTDB vs. GeoSpock vs. Google Cloud Firestore vs. SpaceTime vs. Transwarp ArgoDB

System Properties Comparison Apache IoTDB vs. GeoSpock vs. Google Cloud Firestore vs. SpaceTime vs. Transwarp ArgoDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSpaceTime  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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 FlinkSpatial and temporal data processing engine for extreme data scaleCloud 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.SpaceTime is a spatio-temporal DBMS with a focus on performance.Distributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelTime Series DBMSRelational DBMSDocument storeSpatial DBMSRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.07
Rank#350  Overall
#153  Relational DBMS
Websiteiotdb.apache.orggeospock.comfirebase.google.com/­products/­firestorewww.mireo.com/­spacetimewww.transwarp.cn/­en/­product/­argodb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlfirebase.google.com/­docs/­firestoredocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperApache Software FoundationGeoSpockGoogleMireoTranswarp
Initial release201820172020
Current release1.1.0, April 20232.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptC++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedhostedLinux
Data schemeyesyesschema-freeyesyes
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.nononono
Secondary indexesyestemporal, categoricalyesnoyes
SQL infoSupport of SQLSQL-like query languageANSI SQL for query only (using Presto)noA subset of ANSI SQL is implementedyes
APIs and other access methodsJDBC
Native API
JDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Python
Server-side scripts infoStored proceduresyesnoyes, Firebase Rules & Cloud Functionsno
Triggersyesnoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Automatic shardingShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparknoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesno
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.yesnono
User concepts infoAccess controlyesAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes

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More resources
Apache IoTDBGeoSpockGoogle Cloud FirestoreSpaceTimeTranswarp ArgoDB
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