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DBMS > Atos Standard Common Repository vs. Bangdb vs. GridGain vs. RRDtool vs. SQream DB

System Properties Comparison Atos Standard Common Repository vs. Bangdb vs. GridGain vs. RRDtool vs. SQream DB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBangdb  Xexclude from comparisonGridGain  Xexclude from comparisonRRDtool  Xexclude from comparisonSQream DB  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 graphGridGain is an in-memory computing platform, built on Apache IgniteIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Key-value store
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Score0.73
Rank#228  Overall
#105  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybangdb.comwww.gridgain.comoss.oetiker.ch/­rrdtoolsqream.com
Technical documentationdocs.bangdb.comwww.gridgain.com/­docs/­index.htmloss.oetiker.ch/­rrdtool/­docdocs.sqream.com
DeveloperAtos Convergence CreatorsSachin Sinha, BangDBGridGain Systems, Inc.Tobias OetikerSQream Technologies
Initial release20162012200719992017
Current release1703BangDB 2.0, October 2021GridGain 8.5.11.8.0, 20222022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercialOpen Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Java, C++, .NetC infoImplementations in Java (e.g. RRD4J) and C# availableC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
HP-UX
Linux
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesyes
Typing infopredefined data types such as float or dateoptionalyes: string, long, double, int, geospatial, stream, eventsyesNumeric data onlyyes, ANSI Standard SQL Types
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.yesnoyesno infoExporting into and restoring from XML files possible
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesnono
SQL infoSupport of SQLnoSQL like support with command line toolANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsLDAPProprietary protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
in-process shared library
Pipes
.Net
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)nouser defined functions in Python
Triggersyesyes, Notifications (with Streaming only)yes (cache interceptors and events)nono
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 algorithmShardingnonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)yes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordinglyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
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 modeyesyes
User concepts infoAccess controlLDAP bind authenticationyes (enterprise version only)Security Hooks for custom implementationsno

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More resources
Atos Standard Common RepositoryBangdbGridGainRRDtoolSQream DB
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