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DBMS > CockroachDB vs. Percona Server for MongoDB vs. Qdrant vs. TimescaleDB vs. Yanza

System Properties Comparison CockroachDB vs. Percona Server for MongoDB vs. Qdrant vs. TimescaleDB vs. Yanza

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonQdrant  Xexclude from comparisonTimescaleDB  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.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.A high-performance vector database with neural network or semantic-based matchingA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLTime Series DBMS for IoT Applications
Primary database modelRelational DBMSDocument storeVector DBMSTime Series DBMSTime Series DBMS
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
Score0.52
Rank#254  Overall
#39  Document stores
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.cockroachlabs.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­qdrant/­qdrant
qdrant.tech
www.timescale.comyanza.com
Technical documentationwww.cockroachlabs.com/­docsdocs.percona.com/­percona-distribution-for-mongodbqdrant.tech/­documentationdocs.timescale.com
DeveloperCockroach LabsPerconaQdrantTimescaleYanza
Initial release20152015202120172015
Current release23.1.1, May 20233.4.10-2.10, November 20172.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoGPL Version 2Open Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono 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 languageGoC++RustC
Server operating systemsLinux
macOS
Windows
LinuxDocker
Linux
macOS
Windows
Linux
OS X
Windows
Windows
Data schemedynamic schemaschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleannumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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.nononoyesno
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-textyesno
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnonoyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsJDBCproprietary protocol using JSONgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoJavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersnonoyesyes 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 RAFTShardingShardingyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTSource-replica replicationCollection-level replicationSource-replica replication with hot standby and reads on replicas infonone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency, tunable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Engineyesno
User concepts infoAccess controlRole-based access controlAccess rights for users and rolesKey-based authenticationfine grained access rights according to SQL-standardno

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More resources
CockroachDBPercona Server for MongoDBQdrantTimescaleDBYanza
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