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DBMS > Atos Standard Common Repository vs. BoltDB vs. Manticore Search vs. Splice Machine vs. TimescaleDB

System Properties Comparison Atos Standard Common Repository vs. BoltDB vs. Manticore Search vs. Splice Machine vs. TimescaleDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBoltDB  Xexclude from comparisonManticore Search  Xexclude from comparisonSplice Machine  Xexclude from comparisonTimescaleDB  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 networksAn embedded key-value store for Go.Multi-storage database for search, including full-text search.Open-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
Key-value storeSearch engineRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.22
Rank#312  Overall
#21  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­boltdb/­boltmanticoresearch.comsplicemachine.comwww.timescale.com
Technical documentationmanual.manticoresearch.comsplicemachine.com/­how-it-worksdocs.timescale.com
DeveloperAtos Convergence CreatorsManticore SoftwareSplice MachineTimescale
Initial release20162013201720142017
Current release17036.0, February 20233.1, March 20212.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoGPL version 2Open 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++JavaC
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeFixed schemayesyes
Typing infopredefined data types such as float or dateoptionalnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesnumerics, 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.yesnoCan index from XMLyes
Secondary indexesyesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnonoSQL-like query languageyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsLDAPBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages with LDAP bindingsGoElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
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 proceduresnonouser defined functionsyes infoJavauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSynchronous replication based on Galera libraryMulti-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 methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
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 RepositoryBoltDBManticore SearchSplice MachineTimescaleDB
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