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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Snowflake vs. Solr

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Snowflake vs. Solr

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonSnowflake  Xexclude from comparisonSolr  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 assetsCloud-based data warehousing service for structured and semi-structured dataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Key-value store
Document storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#190  Overall
#30  Document stores
Score40.04
Rank#25  Overall
#16  Relational DBMS
Score51.79
Rank#20  Overall
#3  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.snowflake.comlucene.apache.org/­solr
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.snowflake.net/­manuals/­index.htmllucene.apache.org/­solr/­resources.html
DeveloperAtos Convergence CreatorsSnowflake Computing Inc.Apache Software Foundation
Initial release2016201620142006
Current release17038.9.0, June 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonJava
Server operating systemsLinuxLinuxhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeSchema and schema-less with LDAP viewsschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)yes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateoptionalnoyesyes infosupports customizable data types and automatic 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.yesnoyesyes
Secondary indexesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoyesSolr Parallel SQL Interface
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
CLI Client
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsJava plugins
Triggersyesno infosimilar concept for controling cloud resourcesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlLDAP bind authenticationyesUsers with fine-grained authorization concept, user roles and pluggable authenticationyes

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More resources
Atos Standard Common RepositoryBigchainDBSnowflakeSolr
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