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DBMS > Alibaba Cloud MaxCompute vs. EJDB vs. Hawkular Metrics vs. MarkLogic vs. Splice Machine

System Properties Comparison Alibaba Cloud MaxCompute vs. EJDB vs. Hawkular Metrics vs. MarkLogic vs. Splice Machine

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonEJDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMarkLogic  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Operational and transactional Enterprise NoSQL databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputegithub.com/­Softmotions/­ejdbwww.hawkular.orgwww.marklogic.comsplicemachine.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputegithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.marklogic.comsplicemachine.com/­how-it-works
DeveloperAlibabaSoftmotionsCommunity supported by Red HatMarkLogic Corp.Splice Machine
Initial release20162012201420012014
Current release11.0, December 20223.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoAGPL 3.0, commercial license 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 languageCJavaC++Java
Server operating systemshostedserver-lessLinux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
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
Secondary indexesnononoyesyes
SQL infoSupport of SQLSQL-like query languagenonoyes infoSQL92yes
APIs and other access methodsFluentd
Flume
MaxCompute Console
in-process shared libraryHTTP RESTJava 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
Native Spark Datasource
ODBC
Supported programming languagesJavaActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Javanonoyes infovia XQuery or JavaScriptyes infoJava
Triggersnonoyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infobased on CassandraShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneselectable replication factor infobased on CassandrayesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes, multi-version concurrency control (MVCC)
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.nonoyes, with Range Indexesyes
User concepts infoAccess controlAccess rights for users and rolesnonoRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standard

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More resources
Alibaba Cloud MaxComputeEJDBHawkular MetricsMarkLogicSplice Machine
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