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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Hive vs. Manticore Search vs. Microsoft Azure Table Storage

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Hive vs. Manticore Search vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonHive  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  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 networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsdata warehouse software for querying and managing large distributed datasets, built on HadoopMulti-storage database for search, including full-text search.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument store
Key-value store
Document storeRelational DBMSSearch engineWide column store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score4.48
Rank#75  Overall
#6  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comhive.apache.orgmanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationbigchaindb.readthedocs.io/­en/­latestcwiki.apache.org/­confluence/­display/­Hive/­Homemanual.manticoresearch.com
DeveloperAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookManticore SoftwareMicrosoft
Initial release20162016201220172012
Current release17033.1.3, April 20226.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache Version 2Open Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonJavaC++
Server operating systemsLinuxLinuxAll OS with a Java VMFreeBSD
Linux
macOS
Windows
hosted
Data schemeSchema and schema-less with LDAP viewsschema-freeyesFixed schemaschema-free
Typing infopredefined data types such as float or dateoptionalnoyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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 fieldsno
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
JDBC
ODBC
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
C++
Java
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functionsno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factorSynchronous replication based on Galera libraryyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authenticationyesAccess rights for users, groups and rolesnoAccess rights based on private key authentication or shared access signatures

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More resources
Atos Standard Common RepositoryBigchainDBHiveManticore SearchMicrosoft Azure Table Storage
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