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DBMS > Apache IoTDB vs. OrientDB vs. PlanetScale vs. SAP Advantage Database Server

System Properties Comparison Apache IoTDB vs. OrientDB vs. PlanetScale vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonOrientDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is 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 FlinkMulti-model DBMS (Document, Graph, Key/Value)Scalable, distributed, serverless MySQL database platform built on top of VitessLow-cost RDBMS with access to ISAM and FoxPro data structures
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websiteiotdb.apache.orgorientdb.orgplanetscale.comwww.sap.com/products/advantage-database-server.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.orientdb.com/­docs/­last/­index.htmlplanetscale.com/­docs
DeveloperApache Software FoundationOrientDB LTD; CallidusCloud; SAPPlanetScaleSybase, SAP
Initial release2018201020201993
Current release1.1.0, April 20233.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGo
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java JDK (>= JDK 6)Docker
Linux
macOS
Linux
Windows
Data schemeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language, no joinsyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
Native API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Delphi
Perl
PHP
Server-side scripts infoStored proceduresyesJava, Javascriptyes infoproprietary syntaxyes
TriggersyesHooksyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingnone
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 replicationMulti-source replication
Source-replica replication
Multi-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkno infocould be achieved with distributed queriesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno infocaching of (temporary) tables can be configured
User concepts infoAccess controlyesAccess rights for users and roles; record level security configurableUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
Apache IoTDBOrientDBPlanetScaleSAP Advantage Database Server infoformer name: Sybase ADS
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