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DBMS > Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. EXASOL vs. KairosDB vs. Oracle Berkeley DB

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. EXASOL vs. KairosDB vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonEXASOL  Xexclude from comparisonKairosDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Distributed Time Series DBMS based on Cassandra or H2Widely used in-process key-value store
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeRelational DBMSTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­documentdbwww.exasol.comgithub.com/­kairosdb/­kairosdbwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeaws.amazon.com/­documentdb/­resourceswww.exasol.com/­resourceskairosdb.github.iodocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAlibabaExasolOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20162019200020131994
Current release1.2.2, November 201818.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedhostedLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonononoyes infoonly with the Berkeley DB XML edition
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoyesnoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsFluentd
Flume
MaxCompute Console
proprietary protocol using JSON (MongoDB compatible).Net
JDBC
ODBC
WebSocket
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
PHP
Python
Java
Lua
Python
R
Java
JavaScript infoNode.js
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin Javanouser defined functionsnono
Triggersnonoyesnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesnoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardsimple password-based access controlno

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More resources
Alibaba Cloud MaxComputeAmazon DocumentDBEXASOLKairosDBOracle Berkeley DB
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