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DBMS > Bangdb vs. Microsoft Azure Data Explorer vs. OrigoDB vs. Sphinx

System Properties Comparison Bangdb vs. Microsoft Azure Data Explorer vs. OrigoDB vs. Sphinx

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphFully managed big data interactive analytics platformA fully ACID in-memory object graph databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMS infocolumn orientedDocument store
Object oriented DBMS
Search engine
Secondary database modelsSpatial DBMSDocument 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
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitebangdb.comazure.microsoft.com/­services/­data-explorerorigodb.comsphinxsearch.com
Technical documentationdocs.bangdb.comdocs.microsoft.com/­en-us/­azure/­data-explorerorigodb.com/­docssphinxsearch.com/­docs
DeveloperSachin Sinha, BangDBMicrosoftRobert Friberg et alSphinx Technologies Inc.
Initial release201220192009 infounder the name LiveDB2001
Current releaseBangDB 2.0, October 2021cloud service with continuous releases3.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C#C++
Server operating systemsLinuxhostedLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeFixed schema with schema-less datatypes (dynamic)yesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesUser defined using .NET types and collectionsno
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.noyesno infocan be achieved using .NET
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialall fields are automatically indexedyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL like support with command line toolKusto Query Language (KQL), SQL subsetnoSQL-like query language (SphinxQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Proprietary protocol
Supported programming languagesC
C#
C++
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.NetC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoYes, possible languages: KQL, Python, Ryesno
Triggersyes, Notifications (with Streaming only)yes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infoWrite ahead logyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyes
User concepts infoAccess controlyes (enterprise version only)Azure Active Directory AuthenticationRole based authorizationno

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More resources
BangdbMicrosoft Azure Data ExplorerOrigoDBSphinx
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