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DBMS > Apache IoTDB vs. Cachelot.io vs. LokiJS vs. Microsoft Access vs. Oracle NoSQL

System Properties Comparison Apache IoTDB vs. Cachelot.io vs. LokiJS vs. Microsoft Access vs. Oracle NoSQL

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCachelot.io  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkIn-memory caching systemIn-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.)A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelTime Series DBMSKey-value storeDocument storeRelational DBMSDocument store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score0.00
Rank#396  Overall
#64  Key-value stores
Score0.48
Rank#262  Overall
#42  Document stores
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score2.96
Rank#103  Overall
#18  Document stores
#17  Key-value stores
#52  Relational DBMS
Websiteiotdb.apache.orgcachelot.iogithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmltechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperApache Software FoundationMicrosoftOracle
Initial release20182015201419922011
Current release1.1.0, April 20231902 (16.0.11328.20222), March 201923.3, December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoSimplified BSD LicenseOpen Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScriptC++Java
Server operating systemsAll OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLsLinux
Solaris SPARC/x86
Data schemeyesschema-freeschema-freeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesnonoyesoptional
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.nononono
Secondary indexesyesnoyes infovia viewsyesyes
SQL infoSupport of SQLSQL-like query languagenonoyes infobut not compliant to any SQL standardSQL-like DML and DDL statements
APIs and other access methodsJDBC
Native API
Memcached protocolJavaScript APIADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoView functions in JavaScriptyes infosince Access 2010 using the ACE-engineno
Triggersyesnoyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnonenonenoneElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
nonenoneEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a single collection possibleACID infobut no files for transaction loggingconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyes 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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infooff heap cache
User concepts infoAccess controlyesnonono infoa simple user-level security was built in till version Access 2003Access rights for users and roles

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More resources
Apache IoTDBCachelot.ioLokiJSMicrosoft AccessOracle NoSQL
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