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DBMS > Atos Standard Common Repository vs. HyperSQL vs. KairosDB vs. Solr vs. Spark SQL

System Properties Comparison Atos Standard Common Repository vs. HyperSQL vs. KairosDB vs. Solr vs. Spark SQL

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonKairosDB  Xexclude from comparisonSolr  Xexclude from comparisonSpark SQL  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 networksMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBDistributed Time Series DBMS based on Cassandra or H2A widely used distributed, scalable search engine based on Apache LuceneSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhsqldb.orggithub.com/­kairosdb/­kairosdbsolr.apache.orgspark.apache.org/­sql
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmlkairosdb.github.iosolr.apache.org/­resources.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAtos Convergence CreatorsApache Software FoundationApache Software Foundation
Initial release20162001201320062014
Current release17032.7.2, June 20231.2.2, November 20189.6.0, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licenseOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJavaScala
Server operating systemsLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateoptionalyesyesyes infosupports customizable data types and automatic typingyes
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.yesnonoyesno
Secondary indexesyesyesnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoyesnoSolr Parallel SQL InterfaceSQL-like DML and DDL statements
APIs and other access methodsLDAPHTTP API infoJDBC via HTTP
JDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsAll languages supporting JDBC/ODBC
Java
Java
JavaScript infoNode.js
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoJava, SQLnoJava pluginsno
Triggersyesyesnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding infobased on CassandraShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor infobased on Cassandrayesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesnoyesno
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardsimple password-based access controlyesno

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More resources
Atos Standard Common RepositoryHyperSQL infoalso known as HSQLDBKairosDBSolrSpark SQL
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