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DBMS > BoltDB vs. Google Cloud Spanner vs. Kdb vs. Postgres-XL

System Properties Comparison BoltDB vs. Google Cloud Spanner vs. Kdb vs. Postgres-XL

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonKdb  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.High performance Time Series DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelKey-value storeRelational DBMSTime Series DBMS
Vector DBMS
Relational 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
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitegithub.com/­boltdb/­boltcloud.google.com/­spannerkx.comwww.postgres-xl.org
Technical documentationcloud.google.com/­spanner/­docscode.kx.comwww.postgres-xl.org/­documentation
DeveloperGoogleKx Systems, a division of First Derivatives plc
Initial release201320172000 infokdb was released 2000, kdb+ in 20032014 infosince 2012, originally named StormDB
Current release3.6, May 201810 R1, October 2018
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercial infofree 32-bit versionOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoqC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyesyes infoXML type, but no XML query functionality
Secondary indexesnoyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011SQL-like query language (q)yes infodistributed, parallel query execution
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGoGo
Java
JavaScript (Node.js)
Python
C
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
Server-side scripts infoStored proceduresnonouser defined functionsuser defined functions
Triggersnonoyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoStrict serializable isolationnoACID infoMVCC
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.nonoyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
BoltDBGoogle Cloud SpannerKdbPostgres-XL
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
BoltDBGoogle Cloud SpannerKdbPostgres-XL
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