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DBMS > Datomic vs. LokiJS vs. PlanetScale vs. PostgreSQL

System Properties Comparison Datomic vs. LokiJS vs. PlanetScale vs. PostgreSQL

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonLokiJS  Xexclude from comparisonPlanetScale  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityIn-memory JavaScript DBMSScalable, distributed, serverless MySQL database platform built on top of VitessWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSDocument storeRelational 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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitewww.datomic.comgithub.com/­techfort/­LokiJSplanetscale.comwww.postgresql.org
Technical documentationdocs.datomic.comtechfort.github.io/­LokiJSplanetscale.com/­docswww.postgresql.org/­docs
DeveloperCognitectPlanetScalePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2012201420201989 info1989: Postgres, 1996: PostgreSQL
Current release1.0.6735, June 202316.3, May 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen SourcecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaScriptGoC
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLnonoyes infowith proprietary extensionsyes infostandard with numerous extensions
APIs and other access methodsRESTful HTTP APIJavaScript APIADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
Java
JavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoTransaction FunctionsView functions in JavaScriptyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
TriggersBy using transaction functionsyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possibleACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyesno
User concepts infoAccess controlnonoUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
DatomicLokiJSPlanetScalePostgreSQL
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