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DBMS > AlaSQL vs. HEAVY.AI vs. LokiJS vs. Oracle Berkeley DB vs. PostgreSQL

System Properties Comparison AlaSQL vs. HEAVY.AI vs. LokiJS vs. Oracle Berkeley DB vs. PostgreSQL

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLokiJS  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionJavaScript DBMS libraryA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareIn-memory JavaScript DBMSWidely used in-process key-value storeWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMSDocument 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
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitealasql.orggithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­techfort/­LokiJSwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.postgresql.org
Technical documentationgithub.com/­AlaSQL/­alasqldocs.heavy.aitechfort.github.io/­LokiJSdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.postgresql.org/­docs
DeveloperAndrey Gershun & Mathias R. WulffHEAVY.AI, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OraclePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20142016201419941989 info1989: Postgres, 1996: PostgreSQL
Current release5.10, January 202218.1.40, May 202016.3, May 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2; enterprise edition availableOpen SourceOpen Source infocommercial license availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++ and CUDAJavaScriptC, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linuxserver-less, requires a JavaScript environment (browser, Node.js)AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesnonoyes
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 infoonly with the Berkeley DB XML editionyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnonoyes infovia viewsyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesnoyes infoSQL interfaced based on SQLite is availableyes infostandard with numerous extensions
APIs and other access methodsJavaScript APIJDBC
ODBC
Thrift
Vega
JavaScript APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaScriptAll languages supporting JDBC/ODBC/Thrift
Python
JavaScript.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoView functions in JavaScriptnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesnoyesyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinnonenonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnoneSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenono infoatomic operations within a single collection possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes 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.yesyesyesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard

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More resources
AlaSQLHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LokiJSOracle Berkeley DBPostgreSQL
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