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DBMS > Alibaba Cloud MaxCompute vs. Altibase vs. CockroachDB vs. MySQL vs. TigerGraph

System Properties Comparison Alibaba Cloud MaxCompute vs. Altibase vs. CockroachDB vs. MySQL vs. TigerGraph

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAltibase  Xexclude from comparisonCockroachDB  Xexclude from comparisonMySQL  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingAn enterprise grade, high-performance RDBMSCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Widely used open source RDBMSA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.alibabacloud.com/­product/­maxcomputealtibase.comwww.cockroachlabs.comwww.mysql.comwww.tigergraph.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputegithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.cockroachlabs.com/­docsdev.mysql.com/­docdocs.tigergraph.com
DeveloperAlibabaAltibaseCockroach LabsOracle infosince 2010, originally MySQL AB, then Sun
Initial release20161999201519952017
Current releasev7.3, 2023, August 202324.1.0, May 20248.4.0, April 2024
License infoCommercial or Open Sourcecommercialcommercial infoOpen source edition discontinued with March 2023Open Source infoApache 2.0, commercial license availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial
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.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC++GoC and C++C++
Server operating systemshostedAIX
HP-UX
Linux
Linux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesdynamic schemayesyes
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.nononoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languageANSI SQL-92yes, wire compatible with PostgreSQLyes infowith proprietary extensionsSQL-like query language (GSQL)
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
Proprietary protocol
JDBCADO.NET
JDBC
ODBC
Proprietary native API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJavaC
C++
Java
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin Javastored procedures and stored functionsnoyes infoproprietary syntaxyes
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFThorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesMulti-source replication using RAFTMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes infonot for MyISAM storage engineyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
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.noyesnoyesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardRole-based access controlUsers with fine-grained authorization concept infono user groups or rolesRole-based access control

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More resources
Alibaba Cloud MaxComputeAltibaseCockroachDBMySQLTigerGraph
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