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DBMS > CockroachDB vs. mSQL vs. Rockset vs. Sphinx

System Properties Comparison CockroachDB vs. mSQL vs. Rockset vs. Sphinx

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.mSQL (Mini SQL) is a simple and lightweight RDBMSA 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 modelRelational DBMSRelational DBMSDocument storeSearch engine
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.93
Rank#58  Overall
#32  Relational DBMS
Score1.85
Rank#126  Overall
#61  Relational DBMS
Score0.58
Rank#228  Overall
#36  Document stores
Score8.01
Rank#56  Overall
#6  Search engines
Websitewww.cockroachlabs.comhughestech.com.au/­products/­msqlrockset.comsphinxsearch.com
Technical documentationwww.cockroachlabs.com/­docsdocs.rockset.comsphinxsearch.com/­docs
DeveloperCockroach LabsHughes TechnologiesRocksetSphinx Technologies Inc.
Initial release2015199420192001
Current release21.1.2, June 20214.4, October 20213.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercial infofree licenses can be providedcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CockroachCloud: Get your applications to market faster with a fully managed CockroachDB instance. Leave the daily maintenance, security, and operations of your database to us, and spend more time building apps and running your business.
Implementation languageGoCC++C++
Server operating systemsLinux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemedynamic schemayesschema-freeyes
Typing infopredefined data types such as float or dateyesyesdynamic 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.nonono infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLyes, wire compatible with PostgreSQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)
APIs and other access methodsJDBCJDBC
ODBC
HTTP RESTProprietary protocol
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C++
Delphi
Java
Perl
PHP
Tcl
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 proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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.nono
User concepts infoAccess controlRole-based access controlnoAccess rights for users and organizations can be defined via Rockset consoleno
More information provided by the system vendor
CockroachDBmSQL infoMini SQLRocksetSphinx
Specific characteristicsCockroachDB is a cloud-native, distributed SQL database architected for modern applications....
» more
Competitive advantages- EFFORTLESS SCALE: Scale your applications, not operational complexity. CockroachDB...
» more
Typical application scenariosSystem of record (financial ledger, inventory management, transaction record), identity...
» more
Key customersComcast, eBay, DoorDash, Mythical Games, Norfolk Southern, LUSH, Bose, Shipt, MyDoc,...
» more
Market metrics6.5K+ long-running clusters 1.5K+ CockroachDB Self-Hosted clusters 6.5K+ CockroachDB...
» more
Licensing and pricing models- Apache 2.0 for core features released up to and including the 19.1 release - Time-limited...
» more

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More resources
CockroachDBmSQL infoMini SQLRocksetSphinx
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