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DBMS > Atos Standard Common Repository vs. Drizzle vs. FaunaDB vs. Google Cloud Bigtable vs. Memgraph

System Properties Comparison Atos Standard Common Repository vs. Drizzle vs. FaunaDB vs. Google Cloud Bigtable vs. Memgraph

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonFaunaDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemgraph  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Strongly consistent database capable of global horizontal scale with a focus on operational simplicityGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Wide column storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.95
Rank#154  Overall
#23  Document stores
#11  Graph DBMS
#76  Relational DBMS
#9  Time Series DBMS
Score2.38
Rank#103  Overall
#7  Wide column stores
Score0.06
Rank#315  Overall
#31  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryfauna.comcloud.google.com/­bigtablememgraph.com
Technical documentationfauna.com/­documentationcloud.google.com/­bigtable/­docsdocs.memgraph.com
DeveloperAtos Convergence CreatorsDrizzle project, originally started by Brian AkerFauna, Inc.GoogleMemgraph Ltd
Initial release20162008201420152017
Current release17037.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialcommercialcommercial infoFree license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ScalaC and C++
Server operating systemsLinuxFreeBSD
Linux
OS X
LinuxhostedLinux
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateoptionalyesnonoyes
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.yesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsnonono
APIs and other access methodsLDAPJDBCRESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Bolt protocol
Cypher query language
Supported programming languagesAll languages with LDAP bindingsC
C++
Java
PHP
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersyesno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardinghorizontal partitioning infoconsistent hashingShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replication
Master-slave replication
MasterlessInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-Master replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDAtomic single-row operationsACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPIdentity management, authentication, and access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissions
More information provided by the system vendor
Atos Standard Common RepositoryDrizzleFaunaDBGoogle Cloud BigtableMemgraph
Specific characteristicsServerless cloud database for modern applications Native GraphQL API High performance...
» more
Competitive advantagesDocument-relational interface: combines flexibility in modeling with flexibility...
» more
Typical application scenariosModern Javascript Apps Identity management Multi-tenant SaaS backend Social content...
» more
Key customersNextdoor ShiftX
» more

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More resources
Atos Standard Common RepositoryDrizzleFaunaDBGoogle Cloud BigtableMemgraph
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