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

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

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonKdb  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn embedded key-value store for Go.High performance Time Series DBMSBased 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 storeTime Series DBMS
Vector DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMSDocument 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
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  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/­boltkx.comwww.postgres-xl.orgpouchdb.comspark.apache.org/­sql
Technical documentationcode.kx.comwww.postgres-xl.org/­documentationpouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperKx Systems, a division of First Derivatives plcApache Software FoundationApache Software Foundation
Initial release20132000 infokdb was released 2000, kdb+ in 20032014 infosince 2012, originally named StormDB20122014
Current release3.6, May 201810 R1, October 20187.1.1, June 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infofree 32-bit versionOpen 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 languageGoqCJavaScriptScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
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.noyesyes infoXML type, but no XML query functionalitynono
Secondary indexesnoyes infotable attribute 'grouped'yesyes infovia viewsno
SQL infoSupport of SQLnoSQL-like query language (q)yes infodistributed, parallel query executionnoSQL-like DML and DDL statements
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
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#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScriptJava
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsView functions in JavaScriptno
Triggersnoyes infowith viewsyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioninghorizontal partitioningSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica 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 infosimilar paradigm used for internal processingnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
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.noyesnoyesno
User concepts infoAccess controlnorights management via user accountsfine grained access rights according to SQL-standardnono
More information provided by the system vendor
BoltDBKdbPostgres-XLPouchDBSpark SQL
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
BoltDBKdbPostgres-XLPouchDBSpark SQL
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