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DBMS > Atos Standard Common Repository vs. Bangdb vs. etcd vs. GridGain

System Properties Comparison Atos Standard Common Repository vs. Bangdb vs. etcd vs. GridGain

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBangdb  Xexclude from comparisonetcd  Xexclude from comparisonGridGain  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 networksConverged and high performance database for device data, events, time series, document and graphA distributed reliable key-value storeGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Key-value storeKey-value store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybangdb.cometcd.io
github.com/­etcd-io/­etcd
www.gridgain.com
Technical documentationdocs.bangdb.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.gridgain.com/­docs/­index.html
DeveloperAtos Convergence CreatorsSachin Sinha, BangDBGridGain Systems, Inc.
Initial release201620122007
Current release1703BangDB 2.0, October 20213.4, August 2019GridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoApache Version 2.0commercial
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 languageJavaC, C++GoJava, C++, .Net
Server operating systemsLinuxLinuxFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyes: string, long, double, int, geospatial, stream, eventsnoyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLnoSQL like support with command line toolnoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsLDAPProprietary protocol
RESTful HTTP API
gRPC
JSON over HTTP
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Java
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnononoyes (compute grid and cache interceptors can be used instead)
Triggersyesyes, Notifications (with Streaming only)yes, watching key changesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modenoyes
User concepts infoAccess controlLDAP bind authenticationyes (enterprise version only)noSecurity Hooks for custom implementations

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More resources
Atos Standard Common RepositoryBangdbetcdGridGain
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