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DBMS > Microsoft Azure Data Explorer vs. searchxml vs. SWC-DB vs. Transwarp Hippo

System Properties Comparison Microsoft Azure Data Explorer vs. searchxml vs. SWC-DB vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonsearchxml  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformDBMS for structured and unstructured content wrapped with an application serverA high performance, scalable Wide Column DBMSCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMS infocolumn orientedNative XML DBMS
Search engine
Wide column storeVector DBMS
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
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.05
Rank#386  Overall
#14  Vector DBMS
Websiteazure.microsoft.com/­services/­data-explorerwww.searchxml.net/­category/­productsgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerwww.searchxml.net/­support/­handouts
DeveloperMicrosoftinformationpartners gmbhAlex Kashirin
Initial release2019201520202023
Current releasecloud service with continuous releases1.00.5, April 20211.0, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemshostedWindowsLinuxLinux
macOS
Data schemeFixed schema with schema-less datatypes (dynamic)schema-freeschema-free
Typing infopredefined data types such as float or dateyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesVector, Numeric and String
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.yesyesnono
Secondary indexesall fields are automatically indexedyesno
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetnoSQL-like query languageno
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Proprietary protocol
Thrift
RESTful HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++ infomost other programming languages supported via APIsC++C++
Java
Python
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Ryes infoon the application servernono
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAzure Active Directory AuthenticationDomain, group and role-based access control at the document level and for application servicesRole based access control and fine grained access rights

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More resources
Microsoft Azure Data ExplorersearchxmlSWC-DB infoSuper Wide Column DatabaseTranswarp Hippo
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