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DBMS > LokiJS vs. Microsoft Access vs. Sphinx vs. Sqrrl vs. ToroDB

System Properties Comparison LokiJS vs. Microsoft Access vs. Sphinx vs. Sqrrl vs. ToroDB

Editorial information provided by DB-Engines
NameLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSphinx  Xexclude from comparisonSqrrl  Xexclude from comparisonToroDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionIn-memory JavaScript DBMSMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Open source search engine for searching in data from different sources, e.g. relational databasesAdaptable, secure NoSQL built on Apache AccumuloA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument storeRelational DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.43
Rank#264  Overall
#42  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­accesssphinxsearch.comsqrrl.comgithub.com/­torodb/­server
Technical documentationtechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­accesssphinxsearch.com/­docs
DeveloperMicrosoftSphinx Technologies Inc.Amazon infooriginally Sqrrl Data, Inc.8Kdata
Initial release20141992200120122016
Current release1902 (16.0.11328.20222), March 20193.5.1, February 2023
License infoCommercial or Open SourceOpen Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoGPL version 2, commercial licence availablecommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++C++JavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
LinuxAll OS with a Java 7 VM
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnoyesyes infostring, integer, double, boolean, date, object_id
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.nono
Secondary indexesyes infovia viewsyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardSQL-like query language (SphinxQL)no
APIs and other access methodsJavaScript APIADO.NET
DAO
ODBC
OLE DB
Proprietary protocolAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesJavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresView functions in JavaScriptyes infosince Access 2010 using the ACE-enginenono
Triggersyesyes infosince Access 2010 using the ACE-enginenonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenoneselectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single collection possibleACID infobut no files for transaction loggingnoAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infobut no files for transaction loggingyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003noCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights for users and roles

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More resources
LokiJSMicrosoft AccessSphinxSqrrlToroDB
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