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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Google Cloud Spanner vs. Memcached vs. Snowflake

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Google Cloud Spanner vs. Memcached vs. Snowflake

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMemcached  Xexclude from comparisonSnowflake  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 assetsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.In-memory key-value store, originally intended for cachingCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Key-value store
Document storeRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#210  Overall
#36  Document stores
Score3.37
Rank#97  Overall
#50  Relational DBMS
Score20.81
Rank#32  Overall
#4  Key-value stores
Score125.38
Rank#9  Overall
#6  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comcloud.google.com/­spannerwww.memcached.orgwww.snowflake.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­spanner/­docsgithub.com/­memcached/­memcached/­wikidocs.snowflake.net/­manuals/­index.html
DeveloperAtos Convergence CreatorsGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSnowflake Computing Inc.
Initial release20162016201720032014
Current release17031.6.25, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen Source infoBSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonC
Server operating systemsLinuxLinuxhostedFreeBSD
Linux
OS X
Unix
Windows
hosted
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateoptionalnoyesnoyes
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.yesnonoyes
Secondary indexesyesyesno
SQL infoSupport of SQLnonoyes infoQuery statements complying to ANSI 2011noyes
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Proprietary protocolCLI Client
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononouser defined functions
Triggersyesnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replication with 3 replicas for regional instances.none infoRepcached, a Memcached patch, provides this functionallityyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infoStrict serializable isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlLDAP bind authenticationyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Atos Standard Common RepositoryBigchainDBGoogle Cloud SpannerMemcachedSnowflake
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