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DBMS > Atos Standard Common Repository vs. Databricks vs. Elasticsearch vs. InterSystems Caché vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Elasticsearch vs. InterSystems Caché vs. Yaacomo

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonElasticsearch  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA multi-model DBMS and application serverOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Search engineKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comwww.elastic.co/­elasticsearchwww.intersystems.com/­products/­cacheyaacomo.com
Technical documentationdocs.databricks.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.intersystems.com
DeveloperAtos Convergence CreatorsDatabricksElasticInterSystemsQ2WEB GmbH
Initial release20162013201019972009
Current release17038.6, January 20232018.1.4, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoElastic Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsLinuxhostedAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistentdepending on used data modelyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesyesnoyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnowith Databricks SQLSQL-like query languageyesyes
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesyes
Triggersyesyes infoby using the 'percolation' featureyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACIDACID
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.yesnoMemcached and Redis integrationyesyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksElasticsearchInterSystems CachéYaacomo
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Atos Standard Common RepositoryDatabricksElasticsearchInterSystems CachéYaacomo
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