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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonEhcache  Xexclude from comparisonNuoDB  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 optionsNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score0.87
Rank#201  Overall
#94  Relational DBMS
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ehcache.orgwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationimpala.apache.org/­impala-docs.htmlwww.ehcache.org/­documentationdoc.nuodb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AGDassault Systèmes infooriginally NuoDB, Inc.
Initial release20132016200820092013
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 availablecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++JavaC++
Server operating systemsLinuxLinuxFreeBSD
Linux
OS X
All OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesschema-freeyes
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.noyesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infowith proprietary extensionsnoyes
APIs and other access methodsJDBC
ODBC
LDAPJDBCJCacheADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsC
C++
Java
PHP
Java.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononoJava, SQL
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 Serverdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
yes infoby using Terracotta Serveryes infoManaged transparently by NuoDB
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)Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
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 infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTemporary table
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPnoStandard SQL roles/ privileges, Administrative Users

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More resources
Apache ImpalaAtos Standard Common RepositoryDrizzleEhcacheNuoDB
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