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DBMS > Alibaba Cloud MaxCompute vs. Apache Drill vs. BigObject vs. Hive vs. IBM Db2 Event Store

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Drill vs. BigObject vs. Hive vs. IBM Db2 Event Store

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Drill  Xexclude from comparisonBigObject  Xexclude from comparisonHive  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic DBMS for real-time computations and queriesdata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store
Relational DBMS
Relational DBMS infoa hierachical model (tree) can be imposedRelational DBMSEvent Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputedrill.apache.orgbigobject.iohive.apache.orgwww.ibm.com/­products/­db2-event-store
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedrill.apache.org/­docsdocs.bigobject.iocwiki.apache.org/­confluence/­display/­Hive/­Homewww.ibm.com/­docs/­en/­db2-event-store
DeveloperAlibabaApache Software FoundationBigObject, Inc.Apache Software Foundation infoinitially developed by FacebookIBM
Initial release20162012201520122017
Current release1.20.3, January 20233.1.3, April 20222.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infofree community edition availableOpen Source infoApache Version 2commercial infofree developer edition 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 languageJavaC and C++
Server operating systemshostedLinux
OS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMLinux infoLinux, macOS, Windows for the developer addition
Data schemeyesschema-freeyesyesyes
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.nononono
Secondary indexesnonoyesyesno
SQL infoSupport of SQLSQL-like query languageSQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementsSQL-like DML and DDL statementsyes infothrough the embedded Spark runtime
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
RESTful HTTP API
fluentd
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaC++C++
Java
PHP
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functionsLuayes infouser defined functions and integration of map-reduceyes
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneselectable replication factorActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynonenoneEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/write lock on objects (tables, trees)yesNo - written data is immutable
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourceyesyes
User concepts infoAccess controlAccess rights for users and rolesDepending on the underlying data sourcenoAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud MaxComputeApache DrillBigObjectHiveIBM Db2 Event Store
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