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DBMS > Cachelot.io vs. Microsoft Azure Data Explorer vs. Quasardb vs. YottaDB

System Properties Comparison Cachelot.io vs. Microsoft Azure Data Explorer vs. Quasardb vs. YottaDB

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonQuasardb  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionIn-memory caching systemFully managed big data interactive analytics platformDistributed, high-performance timeseries databaseA fast and solid embedded Key-value store
Primary database modelKey-value storeRelational DBMS infocolumn orientedTime Series DBMSKey-value store
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitecachelot.ioazure.microsoft.com/­services/­data-explorerquasar.aiyottadb.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdoc.quasar.ai/­masteryottadb.com/­resources/­documentation
DeveloperMicrosoftquasardbYottaDB, LLC
Initial release2015201920092001
Current releasecloud service with continuous releases3.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoSimplified BSD Licensecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C
Server operating systemsFreeBSD
Linux
OS X
hostedBSD
Linux
OS X
Windows
Docker
Linux
Data schemeschema-freeFixed schema with schema-less datatypes (dynamic)schema-freeschema-free
Typing infopredefined data types such as float or datenoyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes infointeger and binaryno
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.noyesnono
Secondary indexesnoall fields are automatically indexedyes infowith tagsno
SQL infoSupport of SQLnoKusto Query Language (KQL), SQL subsetSQL-like query languageby using the Octo plugin
APIs and other access methodsMemcached protocolMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoYes, possible languages: KQL, Python, Rno
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkwith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyes
User concepts infoAccess controlnoAzure Active Directory AuthenticationCryptographically strong user authentication and audit trailUsers and groups based on OS-security mechanisms

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More resources
Cachelot.ioMicrosoft Azure Data ExplorerQuasardbYottaDB
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