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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Datomic vs. Drizzle vs. MarkLogic vs. Sadas Engine

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Datomic vs. Drizzle vs. MarkLogic vs. Sadas Engine

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonMarkLogic  Xexclude from comparisonSadas Engine  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Operational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlwww.datomic.comwww.marklogic.comwww.sadasengine.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmdocs.datomic.comdocs.marklogic.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAlibabaCognitectDrizzle project, originally started by Brian AkerMarkLogic Corp.SADAS s.r.l.
Initial release2012200820012006
Current release1.0.6735, June 20237.2.4, September 201211.0, December 20228.0
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoGNU GPLcommercial inforestricted free version is availablecommercial infofree trial version 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 languageJava, ClojureC++C++C++
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
OS X
Linux
OS X
Windows
AIX
Linux
Windows
Data schemeyesyesyesschema-free infoSchema can be enforcedyes
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.yesnoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsyes infoSQL92yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBCJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Java
PHP
Python
Clojure
Java
C
C++
Java
PHP
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsnoyes infovia XQuery or JavaScriptno
TriggersyesBy using transaction functionsno infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyes, with Range Indexesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardnoPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLDatomicDrizzleMarkLogicSadas Engine
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
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More resources
Alibaba Cloud AnalyticDB for MySQLDatomicDrizzleMarkLogicSadas Engine
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