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DBMS > BoltDB vs. Postgres-XL vs. Spark SQL vs. Yanza

System Properties Comparison BoltDB vs. Postgres-XL vs. Spark SQL vs. Yanza

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpark SQL  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embedded key-value store for Go.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS for IoT Applications
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#224  Overall
#32  Key-value stores
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.postgres-xl.orgspark.apache.org/­sqlyanza.com
Technical documentationwww.postgres-xl.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationYanza
Initial release20132014 infosince 2012, originally named StormDB20142015
Current release10 R1, October 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoMozilla public licenseOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono 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 languageGoCScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
OS X
Windows
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.noyes infoXML type, but no XML query functionalitynono
Secondary indexesnoyesnono
SQL infoSupport of SQLnoyes infodistributed, parallel query executionSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
HTTP API
Supported programming languagesGo.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoMVCCnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnofine grained access rights according to SQL-standardnono

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More resources
BoltDBPostgres-XLSpark SQLYanza
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