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DBMS > Manticore Search vs. Microsoft Azure Data Explorer vs. Netezza vs. SiriDB vs. SpaceTime

System Properties Comparison Manticore Search vs. Microsoft Azure Data Explorer vs. Netezza vs. SiriDB vs. SpaceTime

Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSiriDB  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.Fully managed big data interactive analytics platformData warehouse and analytics appliance part of IBM PureSystemsOpen Source Time Series DBMSSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelSearch engineRelational DBMS infocolumn orientedRelational DBMSTime Series DBMSSpatial 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
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#312  Overall
#21  Search engines
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websitemanticoresearch.comazure.microsoft.com/­services/­data-explorerwww.ibm.com/­products/­netezzasiridb.comwww.mireo.com/­spacetime
Technical documentationmanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.siridb.com
DeveloperManticore SoftwareMicrosoftIBMCesbitMireo
Initial release20172019200020172020
Current release6.0, February 2023cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoGPL version 2commercialcommercialOpen Source infoMIT Licensecommercial
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.
Implementation languageC++CC++
Server operating systemsFreeBSD
Linux
macOS
Windows
hostedLinux infoincluded in applianceLinuxLinux
Data schemeFixed schemaFixed schema with schema-less datatypes (dynamic)yesyesyes
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-typesyesyes infoNumeric datayes
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 XMLyesnono
Secondary indexesyes infofull-text index on all search fieldsall fields are automatically indexedyesyesno
SQL infoSupport of SQLSQL-like query languageKusto Query Language (KQL), SQL subsetyesnoA subset of ANSI SQL is implemented
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
JDBC
ODBC
OLE DB
HTTP APIRESTful HTTP API
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Python
Server-side scripts infoStored proceduresuser defined functionsYes, possible languages: KQL, Python, Ryesnono
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynonono
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 serviceShardingShardingFixed-grid hypercubes
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.Source-replica replicationyesReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesnoACIDnono
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.yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoAzure Active Directory AuthenticationUsers with fine-grained authorization conceptsimple rights management via user accountsyes

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More resources
Manticore SearchMicrosoft Azure Data ExplorerNetezza infoAlso called PureData System for Analytics by IBMSiriDBSpaceTime
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