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DBMS > BoltDB vs. Google Cloud Bigtable vs. LeanXcale vs. MonetDB vs. PostgreSQL

System Properties Comparison BoltDB vs. Google Cloud Bigtable vs. LeanXcale vs. MonetDB vs. PostgreSQL

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLeanXcale  Xexclude from comparisonMonetDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA relational database management system that stores data in columnsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelKey-value storeKey-value store
Wide column store
Key-value store
Relational DBMS
Relational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#237  Overall
#34  Key-value stores
Score3.86
Rank#90  Overall
#13  Key-value stores
#7  Wide column stores
Score0.33
Rank#287  Overall
#38  Key-value stores
#132  Relational DBMS
Score1.78
Rank#149  Overall
#69  Relational DBMS
Score634.91
Rank#4  Overall
#4  Relational DBMS
Websitegithub.com/­boltdb/­boltcloud.google.com/­bigtablewww.leanxcale.comwww.monetdb.orgwww.postgresql.org
Technical documentationcloud.google.com/­bigtable/­docswww.monetdb.org/­Documentationwww.postgresql.org/­docs
DeveloperGoogleLeanXcaleMonetDB BVPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20132015201520041989 info1989: Postgres, 1996: PostgreSQL
Current releaseDec2023 (11.49), December 202316.2, February 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialcommercialOpen Source infoMozilla Public License 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageGoCC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyes
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 infospecific XML-type available, but no XML query functionality.
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyes infothrough Apache Derbyyes infoSQL 2003 with some extensionsyes infostandard with numerous extensions
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGoC#
C++
Go
Java
JavaScript (Node.js)
Python
C
Java
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoyes, in SQL, C, Ruser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding via remote tablespartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesnone infoSource-replica replication available in experimental statusSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic single-row operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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BoltDBGoogle Cloud BigtableLeanXcaleMonetDBPostgreSQL
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