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DBMS > Altibase vs. Apache IoTDB vs. Atos Standard Common Repository vs. Lovefield vs. TigerGraph

System Properties Comparison Altibase vs. Apache IoTDB vs. Atos Standard Common Repository vs. Lovefield vs. TigerGraph

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache IoTDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonLovefield  Xexclude from comparisonTigerGraph  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAn enterprise grade, high-performance RDBMSAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksEmbeddable relational database for web apps written in pure JavaScriptA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSTime Series DBMSDocument store
Key-value store
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitealtibase.comiotdb.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygoogle.github.io/­lovefieldwww.tigergraph.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.tigergraph.com
DeveloperAltibaseApache Software FoundationAtos Convergence CreatorsGoogle
Initial release19992018201620142017
Current releasev7.3, 2023, August 20231.1.0, April 202317032.1.12, February 2017
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaJavaScriptC++
Server operating systemsAIX
HP-UX
Linux
All OS with a Java VM (>= 1.8)Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeyesyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92SQL-like query languagenoSQL-like query language infovia JavaScript builder patternSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
Native API
LDAPGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
C
C#
C++
Go
Java
Python
Scala
All languages with LDAP bindingsJavaScriptC++
Java
Server-side scripts infoStored proceduresstored procedures and stored functionsyesnonoyes
TriggersyesyesyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infocell divisionnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infousing MemoryDBno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesLDAP bind authenticationnoRole-based access control

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More resources
AltibaseApache IoTDBAtos Standard Common RepositoryLovefieldTigerGraph
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