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DBMS > BoltDB vs. Google BigQuery vs. Lovefield vs. Postgres-XL vs. RocksDB

System Properties Comparison BoltDB vs. Google BigQuery vs. Lovefield vs. Postgres-XL vs. RocksDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonLovefield  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Large scale data warehouse service with append-only tablesEmbeddable relational database for web apps written in pure JavaScriptBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSKey-value store
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
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score4.00
Rank#84  Overall
#11  Key-value stores
Websitegithub.com/­boltdb/­boltcloud.google.com/­bigquerygoogle.github.io/­lovefieldwww.postgres-xl.orgrocksdb.org
Technical documentationcloud.google.com/­bigquery/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.postgres-xl.org/­documentationgithub.com/­facebook/­rocksdb/­wiki
DeveloperGoogleGoogleFacebook, Inc.
Initial release2013201020142014 infosince 2012, originally named StormDB2013
Current release2.1.12, February 201710 R1, October 20188.11.4, April 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0Open Source infoMozilla public licenseOpen 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.
Implementation languageGoJavaScriptCC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.nononoyes infoXML type, but no XML query functionalityno
Secondary indexesnonoyesyesno
SQL infoSupport of SQLnoyesSQL-like query language infovia JavaScript builder patternyes infodistributed, parallel query executionno
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Supported programming languagesGo.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptnouser defined functionsno
TriggersnonoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenonehorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoSince BigQuery is designed for querying dataACIDACID infoMVCCyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDBnoyes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standardno

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
BoltDBGoogle BigQueryLovefieldPostgres-XLRocksDB
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