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DBMS > Apache Impala vs. Memcached vs. Rockset

System Properties Comparison Apache Impala vs. Memcached vs. Rockset

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMemcached  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopIn-memory key-value store, originally intended for cachingA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSKey-value storeDocument store
Secondary database modelsDocument storeRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score20.74
Rank#32  Overall
#4  Key-value stores
Score0.84
Rank#209  Overall
#35  Document stores
Websiteimpala.apache.orgwww.memcached.orgrockset.com
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­memcached/­memcached/­wikidocs.rockset.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRockset
Initial release201320032019
Current release4.1.0, June 20221.6.25, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows
hosted
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnodynamic typing
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.nono infoingestion from XML files supported
Secondary indexesyesnoall fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsnoRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
Proprietary protocolHTTP REST
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoRepcached, a Memcached patch, provides this functionallityyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users and organizations can be defined via Rockset console

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More resources
Apache ImpalaMemcachedRockset
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