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DBMS > atoti vs. LokiJS vs. Microsoft Access vs. Netezza vs. Solr

System Properties Comparison atoti vs. LokiJS vs. Microsoft Access vs. Netezza vs. Solr

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.In-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.)Data warehouse and analytics appliance part of IBM PureSystemsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelObject oriented DBMSDocument storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteatoti.iogithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­accesswww.ibm.com/­products/­netezzasolr.apache.org
Technical documentationdocs.atoti.iotechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­accesssolr.apache.org/­resources.html
DeveloperActiveViamMicrosoftIBMApache Software Foundation
Initial release2014199220002006
Current release1902 (16.0.11328.20222), March 20199.6.0, April 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Sourcecommercial infoBundled with Microsoft OfficecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLsLinux infoincluded in applianceAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-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.noyes
Secondary indexesyes infovia viewsyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyes infobut not compliant to any SQL standardyesSolr Parallel SQL Interface
APIs and other access methodsJavaScript APIADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
Supported programming languagesJavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresPythonView functions in JavaScriptyes infosince Access 2010 using the ACE-engineyesJava 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 nodesSharding, horizontal partitioningnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Foreign keys infoReferential integritynoyesnono
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 loggingACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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 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 2003Users with fine-grained authorization conceptyes

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More resources
atotiLokiJSMicrosoft AccessNetezza infoAlso called PureData System for Analytics by IBMSolr
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