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DBMS > Graphite vs. Manticore Search vs. Microsoft Azure Data Explorer vs. SiteWhere

System Properties Comparison Graphite vs. Manticore Search vs. Microsoft Azure Data Explorer vs. SiteWhere

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Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperMulti-storage database for search, including full-text search.Fully managed big data interactive analytics platformM2M integration platform for persisting/querying time series data
Primary database modelTime Series DBMSSearch engineRelational DBMS infocolumn orientedTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websitegithub.com/­graphite-project/­graphite-webmanticoresearch.comazure.microsoft.com/­services/­data-explorergithub.com/­sitewhere/­sitewhere
Technical documentationgraphite.readthedocs.iomanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­data-explorersitewhere1.sitewhere.io/­index.html
DeveloperChris DavisManticore SoftwareMicrosoftSiteWhere
Initial release2006201720192010
Current release6.0, February 2023cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2commercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++Java
Server operating systemsLinux
Unix
FreeBSD
Linux
macOS
Windows
hostedLinux
OS X
Windows
Data schemeyesFixed schemaFixed schema with schema-less datatypes (dynamic)predefined scheme
Typing infopredefined data types such as float or dateNumeric data onlyInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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.noCan index from XMLyesno
Secondary indexesnoyes infofull-text index on all search fieldsall fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query languageKusto Query Language (KQL), SQL subsetno
APIs and other access methodsHTTP API
Sockets
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP REST
Supported programming languagesJavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresnouser defined functionsYes, possible languages: KQL, Python, R
Triggersnonoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesnono
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnonoAzure Active Directory AuthenticationUsers with fine-grained authorization concept

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More resources
GraphiteManticore SearchMicrosoft Azure Data ExplorerSiteWhere
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