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DBMS > BoltDB vs. JaguarDB vs. Postgres-XL vs. PouchDB vs. Spark SQL

System Properties Comparison BoltDB vs. JaguarDB vs. Postgres-XL vs. PouchDB vs. Spark SQL

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Performant, highly scalable DBMS for AI and IoT applicationsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresJavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeKey-value store
Vector DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.jaguardb.comwww.postgres-xl.orgpouchdb.comspark.apache.org/­sql
Technical documentationwww.jaguardb.com/­support.htmlwww.postgres-xl.org/­documentationpouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDataJaguar, Inc.Apache Software FoundationApache Software Foundation
Initial release201320152014 infosince 2012, originally named StormDB20122014
Current release3.3 July 202310 R1, October 20187.1.1, June 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGPL V3.0Open Source infoMozilla public licenseOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++ infothe server part. Clients available in other languagesCJavaScriptScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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 infoXML type, but no XML query functionalitynono
Secondary indexesnoyesyesyes infovia viewsno
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infodistributed, parallel query executionnoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languagesGoC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScriptJava
Python
R
Scala
Server-side scripts infoStored proceduresnonouser defined functionsView functions in JavaScriptno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Core
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 methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoMVCCnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesno
User concepts infoAccess controlnorights management via user accountsfine grained access rights according to SQL-standardnono

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More resources
BoltDBJaguarDBPostgres-XLPouchDBSpark SQL
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