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DBMS > LeanXcale vs. LokiJS vs. Microsoft Access vs. Microsoft Azure Synapse Analytics vs. Solr

System Properties Comparison LeanXcale vs. LokiJS vs. Microsoft Access vs. Microsoft Azure Synapse Analytics vs. Solr

Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesIn-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.)Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value store
Relational DBMS
Document storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.leanxcale.comgithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­services/­synapse-analyticssolr.apache.org
Technical documentationtechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­azure/­synapse-analyticssolr.apache.org/­resources.html
DeveloperLeanXcaleMicrosoftMicrosoftApache Software Foundation
Initial release20152014199220162006
Current release1902 (16.0.11328.20222), March 20199.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infoBundled with Microsoft OfficecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++C++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLshostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesyes infosupports customizable data types and automatic typing
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
Secondary indexesyes infovia viewsyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infothrough Apache Derbynoyes infobut not compliant to any SQL standardyesSolr Parallel SQL Interface
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JavaScript APIADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC
Java
Scala
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
PHP
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresView functions in JavaScriptyes infosince Access 2010 using the ACE-engineTransact SQLJava plugins
Triggersyesyes infosince Access 2010 using the ACE-enginenoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possibleACID infobut no files for transaction loggingACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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 loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003yesyes

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More resources
LeanXcaleLokiJSMicrosoft AccessMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSolr
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