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DBMS > Apache Impala vs. Atos Standard Common Repository vs. Datomic vs. InterSystems Caché

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. Datomic vs. InterSystems Caché

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonInterSystems Caché  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.
DescriptionAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA multi-model DBMS and application server
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comwww.intersystems.com/­products/­cache
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.comdocs.intersystems.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsCognitectInterSystems
Initial release2013201620121997
Current release4.1.0, June 202217031.0.6735, June 20232018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava, Clojure
Server operating systemsLinuxLinuxAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesdepending on used data model
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesnoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes
APIs and other access methodsJDBC
ODBC
LDAPRESTful HTTP API.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsClojure
Java
C#
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infoTransaction Functionsyes
TriggersnoyesBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionnone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationnoAccess rights for users, groups and roles

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More resources
Apache ImpalaAtos Standard Common RepositoryDatomicInterSystems Caché
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