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DBMS > Alibaba Cloud MaxCompute vs. AnzoGraph DB vs. Dgraph vs. eXtremeDB vs. TerarkDB

System Properties Comparison Alibaba Cloud MaxCompute vs. AnzoGraph DB vs. Dgraph vs. eXtremeDB vs. TerarkDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonDgraph  Xexclude from comparisoneXtremeDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDistributed and scalable native Graph DBMSNatively in-memory DBMS with options for persistency, high-availability and clusteringA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesGraph DBMS
RDF store
Graph DBMSRelational DBMS
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.alibabacloud.com/­product/­maxcomputecambridgesemantics.com/­anzographdgraph.iowww.mcobject.comgithub.com/­bytedance/­terarkdb
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdgraph.io/­docswww.mcobject.com/­docs/­extremedb.htmbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAlibabaCambridge SemanticsDgraph Labs, Inc.McObjectByteDance, originally Terark
Initial release20162018201620012016
Current release2.3, January 20218.2, 2021
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache 2.0commercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++C++
Server operating systemshostedLinuxLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Data schemeyesSchema-free and OWL/RDFS-schema supportschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 infosupport of XML interfaces availableno
Secondary indexesnonoyesyesno
SQL infoSupport of SQLSQL-like query languageSPARQL and SPARQL* as primary query language. Cypher preview.noyes infowith the option: eXtremeSQLno
APIs and other access methodsFluentd
Flume
MaxCompute Console
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
C++ API
Java API
Supported programming languagesJavaC++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functions and aggregatesnoyesno
Triggersnononoyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceAutomatic shardingyeshorizontal partitioning / shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication in MPP-ClusterSynchronous replication via RaftActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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.noyesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesno infoPlanned for future releasesno
More information provided by the system vendor
Alibaba Cloud MaxComputeAnzoGraph DBDgrapheXtremeDBTerarkDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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Alibaba Cloud MaxComputeAnzoGraph DBDgrapheXtremeDBTerarkDB
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