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DBMS > Atos Standard Common Repository vs. Hypertable vs. Riak TS vs. Splice Machine vs. TimescaleDB

System Properties Comparison Atos Standard Common Repository vs. Hypertable vs. Riak TS vs. Splice Machine vs. TimescaleDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHypertable  Xexclude from comparisonRiak TS  Xexclude from comparisonSplice Machine  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 networksAn open source BigTable implementation based on distributed file systems such as HadoopRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Key-value store
Wide column storeTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorysplicemachine.comwww.timescale.com
Technical documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latestsplicemachine.com/­how-it-worksdocs.timescale.com
DeveloperAtos Convergence CreatorsHypertable Inc.Open Source, formerly Basho TechnologiesSplice MachineTimescale
Initial release20162009201520142017
Current release17030.9.8.11, March 20163.0.0, September 20223.1, March 20212.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen 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 languageJavaC++ErlangJavaC
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalnonoyesnumerics, 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.yesnoyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansrestrictedyesyes
SQL infoSupport of SQLnonoyes, limitedyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsLDAPC++ API
Thrift
HTTP API
Native Erlang Interface
JDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages with LDAP bindingsC++
Java
Perl
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoErlangyes infoJavauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnoyes infopre-commit hooks and post-commit hooksyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlLDAP bind authenticationnonoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryHypertableRiak TSSplice MachineTimescaleDB
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