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DBMS > Apache Impala vs. Atos Standard Common Repository vs. Kingbase vs. Memcached vs. Quasardb

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. Kingbase vs. Memcached vs. Quasardb

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonKingbase  Xexclude from comparisonMemcached  Xexclude from comparisonQuasardb  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.In-memory key-value store, originally intended for cachingDistributed, high-performance timeseries database
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.kingbase.com.cnwww.memcached.orgquasar.ai
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­memcached/­memcached/­wikidoc.quasar.ai/­master
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsBeiJing KINGBASE Information technologies inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalquasardb
Initial release20132016199920032009
Current release4.1.0, June 20221703V8.0, August 20211.6.25, March 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoBSD licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC and JavaCC++
Server operating systemsLinuxLinuxLinux
Windows
FreeBSD
Linux
OS X
Unix
Windows
BSD
Linux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalyesnoyes infointeger and binary
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.noyesyesno
Secondary indexesyesyesyesnoyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsnoStandard with numerous extensionsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
LDAPADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Proprietary protocolHTTP API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindings.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functionsnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionhorizontal partitioning (by range, list and hash) and vertical partitioningnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyesnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolCryptographically strong user authentication and audit trail

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More resources
Apache ImpalaAtos Standard Common RepositoryKingbaseMemcachedQuasardb
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