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DBMS > Alibaba Cloud MaxCompute vs. Interbase vs. JanusGraph vs. Trafodion vs. VelocityDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Interbase vs. JanusGraph vs. Trafodion vs. VelocityDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonInterbase  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonTrafodion  Xexclude from comparisonVelocityDB  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingLight-weight proven RDBMS infooriginally from BorlandA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Transactional SQL-on-Hadoop DBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSGraph DBMSRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.embarcadero.com/­products/­interbasejanusgraph.orgtrafodion.apache.orgvelocitydb.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.embarcadero.com/­products/­interbasedocs.janusgraph.orgtrafodion.apache.org/­documentation.htmlvelocitydb.com/­UserGuide
DeveloperAlibabaEmbarcaderoLinux Foundation; originally developed as Titan by AureliusApache Software Foundation, originally developed by HPVelocityDB Inc
Initial release20161984201720142011
Current releaseInterBase 2020, December 20190.6.3, February 20232.3.0, February 20197.x
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial
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 languageCJavaC++, JavaC#
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
Linux
OS X
Unix
Windows
LinuxAny that supports .NET
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nono infoexport as XML data possiblenonono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnoyesno
APIs and other access methodsFluentd
Flume
MaxCompute Console
ADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
.Net
Supported programming languagesJava.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Clojure
Java
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
Server-side scripts infoStored proceduresuser defined functions infoin Javayes infoInterbase procedure and trigger languageyesJava Stored Proceduresno
TriggersnoyesyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceInterbase Change Viewsyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Faunus, a graph analytics engineyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
Alibaba Cloud MaxComputeInterbaseJanusGraph infosuccessor of TitanTrafodionVelocityDB
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