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DBMS > Atos Standard Common Repository vs. Kyligence Enterprise vs. Manticore Search vs. Quasardb

System Properties Comparison Atos Standard Common Repository vs. Kyligence Enterprise vs. Manticore Search vs. Quasardb

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonManticore Search  Xexclude from comparisonQuasardb  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA distributed analytics engine for big data, built on top of Apache KylinMulti-storage database for search, including full-text search.Distributed, high-performance timeseries database
Primary database modelDocument store
Key-value store
Relational DBMSSearch engineTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorykyligence.io/­kyligence-enterprisemanticoresearch.comquasar.ai
Technical documentationmanual.manticoresearch.comdoc.quasar.ai/­master
DeveloperAtos Convergence CreatorsKyligence, Inc.Manticore Softwarequasardb
Initial release2016201620172009
Current release17036.0, February 20233.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C++
Server operating systemsLinuxLinuxFreeBSD
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesFixed schemaschema-free
Typing infopredefined data types such as float or dateoptionalyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes 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.yesnoCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes infowith tags
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)SQL-like query languageSQL-like query language
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP API
Supported programming languagesAll languages with LDAP bindingsElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera librarySource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlLDAP bind authenticationnoCryptographically strong user authentication and audit trail

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More resources
Atos Standard Common RepositoryKyligence EnterpriseManticore SearchQuasardb
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