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DBMS > Cachelot.io vs. OrientDB vs. PouchDB vs. Spark SQL vs. StarRocks

System Properties Comparison Cachelot.io vs. OrientDB vs. PouchDB vs. Spark SQL vs. StarRocks

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonOrientDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionIn-memory caching systemMulti-model DBMS (Document, Graph, Key/Value)JavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processingAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelKey-value storeDocument store
Graph DBMS
Key-value store
Document storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitecachelot.ioorientdb.orgpouchdb.comspark.apache.org/­sqlwww.starrocks.io
Technical documentationwww.orientdb.com/­docs/­last/­index.htmlpouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperOrientDB LTD; CallidusCloud; SAPApache Software FoundationApache Software FoundationThe Linux Foundation infosince Feb 2023
Initial release20152010201220142020
Current release3.2.29, March 20247.1.1, June 20193.5.0 ( 2.13), September 20232.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoApache version 2Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0
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 languageC++JavaJavaScriptScalaC++, Java
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java JDK (>= JDK 6)server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Linux
Data schemeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nonononono
Secondary indexesnoyesyes infovia viewsnoyes
SQL infoSupport of SQLnoSQL-like query language, no joinsnoSQL-like DML and DDL statementsyes
APIs and other access methodsMemcached protocolTinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
JDBC
MySQL protocol
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScriptJava
Python
R
Scala
Java
Server-side scripts infoStored proceduresnoJava, JavascriptView functions in JavaScriptnouser defined functions
TriggersnoHooksyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Corehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnoAccess rights for users and roles; record level security configurablenonoRole based access control and fine grained access rights

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More resources
Cachelot.ioOrientDBPouchDBSpark SQLStarRocks
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