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DBMS > Manticore Search vs. Microsoft Azure Data Explorer vs. Microsoft SQL Server vs. Oracle Coherence vs. WakandaDB

System Properties Comparison Manticore Search vs. Microsoft Azure Data Explorer vs. Microsoft SQL Server vs. Oracle Coherence vs. WakandaDB

Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle Coherence  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.Fully managed big data interactive analytics platformMicrosofts flagship relational DBMSOracles in-memory data grid solutionWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSearch engineRelational DBMS infocolumn orientedRelational DBMSKey-value storeObject oriented 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
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#302  Overall
#21  Search engines
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitemanticoresearch.comazure.microsoft.com/­services/­data-explorerwww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­java/­coherencewakanda.github.io
Technical documentationmanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­data-explorerlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­en/­middleware/­standalone/­coherencewakanda.github.io/­doc
DeveloperManticore SoftwareMicrosoftMicrosoftOracleWakanda SAS
Initial release20172019198920072012
Current release6.0, February 2023cloud service with continuous releasesSQL Server 2022, November 202214.1, August 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2commercialcommercial inforestricted free version is availablecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++C++JavaC++, JavaScript
Server operating systemsFreeBSD
Linux
macOS
Windows
hostedLinux
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeFixed schemaFixed schema with schema-less datatypes (dynamic)yesschema-freeyes
Typing infopredefined data types such as float or dateInt, 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-typesyesyesyes
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.Can index from XMLyesyesnono
Secondary indexesyes infofull-text index on all search fieldsall fields are automatically indexedyesno
SQL infoSupport of SQLSQL-like query languageKusto Query Language (KQL), SQL subsetyesnono
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JCache
JPA
RESTful HTTP API
RESTful HTTP API
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C++
Java
JavaScript
Server-side scripts infoStored proceduresuser defined functionsYes, possible languages: KQL, Python, RTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanoyes
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federationShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, but depending on the SQL-Server Editionyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesnoACIDconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnoAzure Active Directory Authenticationfine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authenticationyes

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Manticore SearchMicrosoft Azure Data ExplorerMicrosoft SQL ServerOracle CoherenceWakandaDB
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