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DBMS > CockroachDB vs. Riak KV vs. Spark SQL vs. Yanza

System Properties Comparison CockroachDB vs. Riak KV vs. Spark SQL vs. Yanza

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonRiak KV  Xexclude from comparisonSpark SQL  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.Distributed, fault tolerant key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS for IoT Applications
Primary database modelRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.cockroachlabs.comspark.apache.org/­sqlyanza.com
Technical documentationwww.cockroachlabs.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCockroach LabsOpenSource, formerly Basho TechnologiesApache Software FoundationYanza
Initial release2015200920142015
Current release23.1.1, May 20233.2.0, December 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoErlangScala
Server operating systemsLinux
macOS
Windows
Linux
OS X
Linux
OS X
Windows
Windows
Data schemedynamic schemaschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nononono
Secondary indexesyesrestrictednono
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoSQL-like DML and DDL statementsno
APIs and other access methodsJDBCHTTP API
Native Erlang Interface
JDBC
ODBC
HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
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
Java
Python
R
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoErlangnono
Triggersnoyes infopre-commit hooks and post-commit hooksnoyes infoTimer and event based
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 RAFTSharding infono "single point of failure"yes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 controlyes, using Riak Securitynono

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More resources
CockroachDBRiak KVSpark SQLYanza
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