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DBMS > Atos Standard Common Repository vs. HarperDB vs. Hypertable vs. SWC-DB vs. TimescaleDB

System Properties Comparison Atos Standard Common Repository vs. HarperDB vs. Hypertable vs. SWC-DB vs. TimescaleDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHarperDB  Xexclude from comparisonHypertable  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTimescaleDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksUltra-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.An open source BigTable implementation based on distributed file systems such as HadoopA high performance, scalable Wide Column DBMSA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Key-value store
Document storeWide column storeWide column storeTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.harperdb.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.timescale.com
Technical documentationdocs.harperdb.io/­docsdocs.timescale.com
DeveloperAtos Convergence CreatorsHarperDBHypertable Inc.Alex KashirinTimescale
Initial release20162017200920202017
Current release17033.1, August 20210.9.8.11, March 20160.5, April 20212.13.0, November 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoGPL V3Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC++C++C
Server operating systemsLinuxLinux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsdynamic schemaschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyes infoJSON data typesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data 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.yesnonoyes
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsnoSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsLDAPJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
C++ API
Thrift
Proprietary protocol
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages with LDAP bindings.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
C++
Java
Perl
PHP
Python
Ruby
C++.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1nonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionA table resides as a whole on one (or more) nodes in a clusterShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedselectable replication factor on file system levelSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
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
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and rolesnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryHarperDBHypertableSWC-DB infoSuper Wide Column DatabaseTimescaleDB
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