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DBMS > AgensGraph vs. Alibaba Cloud AnalyticDB for MySQL vs. Apache IoTDB vs. Apache Kylin vs. Atos Standard Common Repository

System Properties Comparison AgensGraph vs. Alibaba Cloud AnalyticDB for MySQL vs. Apache IoTDB vs. Apache Kylin vs. Atos Standard Common Repository

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonApache IoTDB  Xexclude from comparisonApache Kylin  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networks
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMSDocument store
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.18
Rank#172  Overall
#79  Relational DBMS
Websitebitnine.net/­agensgraphwww.alibabacloud.com/­product/­analyticdb-for-mysqliotdb.apache.orgkylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repository
Technical documentationbitnine.net/­documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlkylin.apache.org/­docs
DeveloperBitnine Global Inc.AlibabaApache Software FoundationApache Software Foundation, originally contributed from eBay IncAtos Convergence Creators
Initial release2016201820152016
Current release2.1, December 20181.1.0, April 20233.1.0, July 20201703
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
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 languageCJavaJavaJava
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VM (>= 1.8)LinuxLinux
Data schemedepending on used data modelyesyesyesSchema and schema-less with LDAP views
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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 SQLyesyesSQL-like query languageANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
JDBC
Native API
JDBC
ODBC
RESTful HTTP API
LDAP
Supported programming languagesC
Java
JavaScript
Python
C#
Java
PHP
Python
C
C#
C++
Go
Java
Python
Scala
All languages with LDAP bindings
Server-side scripts infoStored proceduresyesyesyesno
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoImplicit feature of the cloud servicehorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infocell division
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoIntegration with Hadoop and Sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic execution of specific operations
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.noyesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesLDAP bind authentication
More information provided by the system vendor
AgensGraphAlibaba Cloud AnalyticDB for MySQLApache IoTDBApache KylinAtos Standard Common Repository
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more

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More resources
AgensGraphAlibaba Cloud AnalyticDB for MySQLApache IoTDBApache KylinAtos Standard Common Repository
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