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DBMS > Atos Standard Common Repository vs. Derby vs. HBase vs. Splice Machine

System Properties Comparison Atos Standard Common Repository vs. Derby vs. HBase vs. Splice Machine

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonHBase  Xexclude from comparisonSplice Machine  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Wide-column store based on Apache Hadoop and on concepts of BigTableOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Key-value store
Relational DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.30
Rank#66  Overall
#36  Relational DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorydb.apache.org/­derbyhbase.apache.orgsplicemachine.com
Technical documentationdb.apache.org/­derby/­manuals/­index.htmlhbase.apache.org/­book.htmlsplicemachine.com/­how-it-works
DeveloperAtos Convergence CreatorsApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetSplice Machine
Initial release2016199720082014
Current release170310.17.1.0, November 20232.3.4, January 20213.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJava
Server operating systemsLinuxAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateoptionalyesoptions to bring your own types, AVROyes
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.yesyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsLDAPJDBCJava API
RESTful HTTP API
Thrift
JDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages with LDAP bindingsJavaC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes infoCoprocessors in Javayes infoJava
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles according to SQL-standard

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More resources
Atos Standard Common RepositoryDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBHBaseSplice Machine
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