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DBMS > Amazon DocumentDB vs. BoltDB vs. Lovefield vs. PostgreSQL vs. RocksDB

System Properties Comparison Amazon DocumentDB vs. BoltDB vs. Lovefield vs. PostgreSQL vs. RocksDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBoltDB  Xexclude from comparisonLovefield  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn embedded key-value store for Go.Embeddable relational database for web apps written in pure JavaScriptWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelDocument storeKey-value storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value store
Secondary database modelsDocument 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
Score1.91
Rank#132  Overall
#24  Document stores
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Websiteaws.amazon.com/­documentdbgithub.com/­boltdb/­boltgoogle.github.io/­lovefieldwww.postgresql.orgrocksdb.org
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.postgresql.org/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperGooglePostgreSQL Global Development Group infowww.postgresql.org/­developerFacebook, Inc.
Initial release2019201320141989 info1989: Postgres, 1996: PostgreSQL2013
Current release2.1.12, February 201716.3, May 20248.11.4, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoBSDOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaScriptCC++
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternyes infostandard with numerous extensionsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
GoJavaScript.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnononouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
TriggersnonoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenonepartitioning by range, list and (since PostgreSQL 11) by hashhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnonenoneSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesACIDACIDyes
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.noyes infousing MemoryDBnoyes
User concepts infoAccess controlAccess rights for users and rolesnonofine grained access rights according to SQL-standardno

More information provided by the system vendor

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More resources
Amazon DocumentDBBoltDBLovefieldPostgreSQLRocksDB
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