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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonEhcache  Xexclude from comparisonManticore Search  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 optionsMulti-storage database for search, including full-text search.
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSKey-value storeSearch engine
Secondary database modelsDocument storeTime Series DBMS infousing the Manticore Columnar Library
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
Score0.29
Rank#302  Overall
#21  Search engines
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ehcache.orgmanticoresearch.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.ehcache.org/­documentationmanual.manticoresearch.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AGManticore Software
Initial release20132016200820092017
Current release4.1.0, June 202217037.2.4, September 20123.10.0, March 20226.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL version 2
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 VMFreeBSD
Linux
macOS
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesschema-freeFixed schema
Typing infopredefined data types such as float or dateyesoptionalyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.noyesnoCan index from XML
Secondary indexesyesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infowith proprietary extensionsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
LDAPJDBCJCacheBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsC
C++
Java
PHP
JavaElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononouser defined functions
Triggersnoyesno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingSharding infoby using Terracotta ServerSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
yes infoby using Terracotta ServerSynchronous replication based on Galera library
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 integritynonoyesnono
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 resourceyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing a tiered cache-storage approachyes infoThe original contents of fields are not stored in the Manticore index.
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 RepositoryDrizzleEhcacheManticore Search
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