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DBMS > Apache Impala vs. Atos Standard Common Repository vs. Drizzle vs. Ehcache vs. RDF4J

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. Drizzle vs. Ehcache vs. RDF4J

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonEhcache  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A widely adopted Java cache with tiered storage optionsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSKey-value storeRDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ehcache.orgrdf4j.org
Technical documentationimpala.apache.org/­impala-docs.htmlwww.ehcache.org/­documentationrdf4j.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AGSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20132016200820092004
Current release4.1.0, June 202217037.2.4, September 20123.10.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++JavaJava
Server operating systemsLinuxLinuxFreeBSD
Linux
OS X
All OS with a Java VMLinux
OS X
Unix
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infowith proprietary extensionsnono
APIs and other access methodsJDBC
ODBC
LDAPJDBCJCacheJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsC
C++
Java
PHP
JavaJava
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononoyes
Triggersnoyesno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingSharding infoby using Terracotta Servernone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
yes infoby using Terracotta Servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDyes infosupports JTA and can work as an XA resourceACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing a tiered cache-storage approachyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPnono

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More resources
Apache ImpalaAtos Standard Common RepositoryDrizzleEhcacheRDF4J infoformerly known as Sesame
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