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DBMS > Microsoft Azure Data Explorer vs. TigerGraph vs. VelocityDB vs. Warp 10

System Properties Comparison Microsoft Azure Data Explorer vs. TigerGraph vs. VelocityDB vs. Warp 10

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Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonTigerGraph  Xexclude from comparisonVelocityDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMS infocolumn orientedGraph DBMSGraph DBMS
Object oriented DBMS
Time Series 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score1.44
Rank#152  Overall
#14  Graph DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
#21  Object oriented DBMS
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websiteazure.microsoft.com/­services/­data-explorerwww.tigergraph.comvelocitydb.comwww.warp10.io
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.tigergraph.comvelocitydb.com/­UserGuidewww.warp10.io/­content/­02_Getting_started
DeveloperMicrosoftVelocityDB IncSenX
Initial release2019201720112015
Current releasecloud service with continuous releases7.x
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#Java
Server operating systemshostedLinuxAny that supports .NETLinux
OS X
Windows
Data schemeFixed schema with schema-less datatypes (dynamic)yesyesschema-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-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.yesnonono
Secondary indexesall fields are automatically indexedyesno
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetSQL-like query language (GSQL)nono
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
.NetHTTP API
Jupyter
WebSocket
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Java
.Net
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Ryesnoyes infoWarpScript
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes 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 methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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.nonoyesyes
User concepts infoAccess controlAzure Active Directory AuthenticationRole-based access controlBased on Windows AuthenticationMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Microsoft Azure Data ExplorerTigerGraphVelocityDBWarp 10
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