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DBMS > Atos Standard Common Repository vs. BigchainDB vs. HarperDB vs. Hawkular Metrics vs. Interbase

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. HarperDB vs. Hawkular Metrics vs. Interbase

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonHarperDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInterbase  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 assetsUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Light-weight proven RDBMS infooriginally from Borland
Primary database modelDocument store
Key-value store
Document storeDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.55
Rank#248  Overall
#38  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.harperdb.iowww.hawkular.orgwww.embarcadero.com/­products/­interbase
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.harperdb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.embarcadero.com/­products/­interbase
DeveloperAtos Convergence CreatorsHarperDBCommunity supported by Red HatEmbarcadero
Initial release20162016201720141984
Current release17033.1, August 2021InterBase 2020, December 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercial infofree community edition availableOpen Source infoApache 2.0commercial
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 languageJavaPythonNode.jsJavaC
Server operating systemsLinuxLinuxLinux
OS X
Linux
OS X
Windows
Android
iOS
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freedynamic schemaschema-freeyes
Typing infopredefined data types such as float or dateoptionalnoyes infoJSON data typesyesyes
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 infoexport as XML data possible
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnonoSQL-like data manipulation statementsnoyes
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP RESTADO.NET
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Go
Java
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1noyes infoInterbase procedure and trigger language
Triggersyesnoyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingA table resides as a whole on one (or more) nodes in a clusterSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infothe nodes on which a table resides can be definedselectable replication factor infobased on CassandraInterbase Change Views
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 configurationImmediate 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 operationsAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMultiversion concurreny control
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationyesAccess rights for users and rolesnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryBigchainDBHarperDBHawkular MetricsInterbase
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