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DBMS > BoltDB vs. MonetDB vs. Rockset vs. Sphinx

System Properties Comparison BoltDB vs. MonetDB vs. Rockset vs. Sphinx

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonMonetDB  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A relational database management system that stores data in columnsA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRelational DBMSDocument storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­boltdb/­boltwww.monetdb.orgrockset.comsphinxsearch.com
Technical documentationwww.monetdb.org/­Documentationdocs.rockset.comsphinxsearch.com/­docs
DeveloperMonetDB BVRocksetSphinx Technologies Inc.
Initial release2013200420192001
Current releaseDec2023 (11.49), December 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoMozilla Public License 2.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesdynamic typingno
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.nono infoingestion from XML files supported
Secondary indexesnoyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP RESTProprietary protocol
Supported programming languagesGoC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyes, in SQL, C, Rnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding via remote tablesAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoSource-replica replication available in experimental statusyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
BoltDBMonetDBRocksetSphinx
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