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DBMS > CouchDB vs. H2 vs. Hazelcast vs. Prometheus vs. YDB

System Properties Comparison CouchDB vs. H2 vs. Hazelcast vs. Prometheus vs. YDB

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonH2  Xexclude from comparisonHazelcast  Xexclude from comparisonPrometheus  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A widely adopted in-memory data gridOpen-source Time Series DBMS and monitoring systemA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument storeRelational DBMSKey-value storeTime Series DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionSpatial DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitecouchdb.apache.orgwww.h2database.comhazelcast.comprometheus.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.couchdb.org/­en/­stablewww.h2database.com/­html/­main.htmlhazelcast.org/­imdg/­docsprometheus.io/­docsydb.tech/­en/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerThomas MuellerHazelcastYandex
Initial release20052005200820152019
Current release3.3.3, December 20232.2.220, July 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJavaJavaGo
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAll OS with a Java VMLinux
Windows
Linux
Data schemeschema-freeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyesyesNumeric data onlyyes
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 infothe object must implement a serialization strategyno infoImport of XML data possibleno
Secondary indexesyes infovia viewsyesyesnoyes
SQL infoSupport of SQLnoyesSQL-like query languagenoSQL-like query language (YQL)
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP/JSON APIRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Java.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresView functions in JavaScriptJava Stored Procedures and User-Defined Functionsyes infoEvent Listeners, Executor Servicesnono
Triggersyesyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0noneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoReplicated Mapyes infoby FederationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmnoneImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDone or two-phase-commit; repeatable reads; read commitednoACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyes, multi-version concurrency control (MVCC)yesyesyes
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.noyesyesnono
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardRole-based access controlnoAccess rights defined for Yandex Cloud users

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