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DBMS > Atos Standard Common Repository vs. Bangdb vs. etcd vs. Hawkular Metrics vs. ObjectBox

System Properties Comparison Atos Standard Common Repository vs. Bangdb vs. etcd vs. Hawkular Metrics vs. ObjectBox

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBangdb  Xexclude from comparisonetcd  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonObjectBox  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 storeHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Extremely fast embedded database for small devices, IoT and Mobile
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Key-value storeTime Series DBMSObject oriented DBMS
Secondary database modelsSpatial DBMSTime Series 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
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybangdb.cometcd.io
github.com/­etcd-io/­etcd
www.hawkular.orgobjectbox.io
Technical documentationdocs.bangdb.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.objectbox.io
DeveloperAtos Convergence CreatorsSachin Sinha, BangDBCommunity supported by Red HatObjectBox Limited
Initial release2016201220142017
Current release1703BangDB 2.0, October 20213.4, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++GoJavaC and C++
Server operating systemsLinuxLinuxFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
Android
iOS
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyes: string, long, double, int, geospatial, stream, eventsnoyesyes
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.yesnononono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialnonoyes
SQL infoSupport of SQLnoSQL like support with command line toolnonono
APIs and other access methodsLDAPProprietary protocol
RESTful HTTP API
gRPC
JSON over HTTP
HTTP RESTProprietary native API
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
Go
Java
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnonononono
Triggersyesyes, Notifications (with Streaming only)yes, watching key changesyes infovia Hawkular Alertingno
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 infobased on Cassandranone
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.selectable replication factor infobased on Cassandraonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
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 modenonono
User concepts infoAccess controlLDAP bind authenticationyes (enterprise version only)nonoyes
More information provided by the system vendor
Atos Standard Common RepositoryBangdbetcdHawkular MetricsObjectBox
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More resources
Atos Standard Common RepositoryBangdbetcdHawkular MetricsObjectBox
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