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DBMS > Alibaba Cloud MaxCompute vs. Amazon CloudSearch vs. KairosDB vs. Oracle Berkeley DB vs. WakandaDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon CloudSearch vs. KairosDB vs. Oracle Berkeley DB vs. WakandaDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonKairosDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA hosted search engine service by Amazon with the data stored in Amazons cloudDistributed Time Series DBMS based on Cassandra or H2Widely used in-process key-value storeWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesSearch engineTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score1.81
Rank#137  Overall
#12  Search engines
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­cloudsearchgithub.com/­kairosdb/­kairosdbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwakanda.github.io
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.aws.amazon.com/­cloudsearchkairosdb.github.iodocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwakanda.github.io/­doc
DeveloperAlibabaAmazonOracle infooriginally developed by Sleepycat, which was acquired by OracleWakanda SAS
Initial release20162012201319942012
Current release1.2.2, November 201818.1.40, May 20202.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infocommercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)C++, JavaScript
Server operating systemshostedhostedLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonoyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyes infoall search fields are automatically indexednoyes
SQL infoSupport of SQLSQL-like query languagenonoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsFluentd
Flume
MaxCompute Console
HTTP APIGraphite protocol
HTTP REST
Telnet API
RESTful HTTP API
Supported programming languagesJavaJava
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
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin Javanononoyes
Triggersnononoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infobased on Cassandranonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infomanaged transparently by AWSselectable replication factor infobased on CassandraSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
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.nonoyesno
User concepts infoAccess controlAccess rights for users and rolesauthentication via encrypted signaturessimple password-based access controlnoyes

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More resources
Alibaba Cloud MaxComputeAmazon CloudSearchKairosDBOracle Berkeley DBWakandaDB
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