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DBMS > Alibaba Cloud MaxCompute vs. Faircom EDGE vs. Hive vs. HugeGraph

System Properties Comparison Alibaba Cloud MaxCompute vs. Faircom EDGE vs. Hive vs. HugeGraph

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Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsdata warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-value store
Relational DBMS
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#220  Overall
#102  Relational DBMS
Score0.06
Rank#373  Overall
#56  Key-value stores
#156  Relational DBMS
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score0.14
Rank#340  Overall
#31  Graph DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.faircom.com/­products/­faircom-edgehive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docs
DeveloperAlibabaFairCom CorporationApache Software Foundation infoinitially developed by FacebookBaidu
Initial release2016197920122018
Current releaseV3, October 20203.1.3, April 20220.9
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaJava
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMLinux
macOS
Unix
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes
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.noyesno
Secondary indexesnoyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL-like query languageyes infoANSI SQL queriesSQL-like DML and DDL statementsno
APIs and other access methodsFluentd
Flume
MaxCompute Console
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesJavaC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C++
Java
PHP
Python
Groovy
Java
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javayes info.Net, JavaScript, C/C++yes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobs
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceFile partitioning infoCustomizable business rules for partitioningShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReducevia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLnoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
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.noyesyes
User concepts infoAccess controlAccess rights for users and rolesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and rolesUsers, roles and permissions

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More resources
Alibaba Cloud MaxComputeFaircom EDGE infoformerly c-treeEDGEHiveHugeGraph
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