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DBMS > CockroachDB vs. Riak KV vs. TimescaleDB vs. Typesense

System Properties Comparison CockroachDB vs. Riak KV vs. TimescaleDB vs. Typesense

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonRiak KV  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTypesense  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.Distributed, fault tolerant key-value storeA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMSSearch engine
Secondary database modelsRelational 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
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.79
Rank#210  Overall
#14  Search engines
Websitewww.cockroachlabs.comwww.timescale.comtypesense.org
Technical documentationwww.cockroachlabs.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.timescale.comtypesense.org/­docs
DeveloperCockroach LabsOpenSource, formerly Basho TechnologiesTimescale
Initial release2015200920172015
Current release23.1.1, May 20233.2.0, December 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoErlangCC++
Server operating systemsLinux
macOS
Windows
Linux
OS X
Linux
OS X
Windows
Linux
Data schemedynamic schemaschema-freeyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.nonoyes
Secondary indexesyesrestrictedyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsJDBCHTTP API
Native Erlang Interface
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful 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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnoErlanguser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersnoyes infopre-commit hooks and post-commit hooksyes
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, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTselectable replication factorSource-replica replication with hot standby and reads on replicas infoMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infolinks between data sets can be storedyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.nonoyes
User concepts infoAccess controlRole-based access controlyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
CockroachDBRiak KVTimescaleDBTypesense
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