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DBMS > Apache HugeGraph vs. Fauna vs. Microsoft Azure Data Explorer

System Properties Comparison Apache HugeGraph vs. Fauna vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
NameApache HugeGraph  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Fully managed big data interactive analytics platform
Primary database modelGraph DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMS infocolumn oriented
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
Score0.28
Rank#285  Overall
#23  Graph DBMS
Score1.49
Rank#142  Overall
#25  Document stores
#13  Graph DBMS
#65  Relational DBMS
#12  Time Series DBMS
Score2.98
Rank#83  Overall
#45  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
fauna.comazure.microsoft.com/­services/­data-explorer
Technical documentationhugegraph.apache.org/­docsdocs.fauna.comdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperBaiduFauna, Inc.Microsoft
Initial release201820142019
Current release0.9cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScala
Server operating systemsLinux
macOS
Unix
hostedhosted
Data schemeyesschema-freeFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesnoyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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.nonoyes
Secondary indexesyes infoalso supports composite index and range indexyesall fields are automatically indexed
SQL infoSupport of SQLnonoKusto Query Language (KQL), SQL subset
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functionsYes, possible languages: KQL, Python, R
Triggersnonoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning infoconsistent hashingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlUsers, roles and permissionsIdentity management, authentication, and access controlAzure Active Directory Authentication

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More resources
Apache HugeGraphFauna infopreviously named FaunaDBMicrosoft Azure Data Explorer
Recent citations in the news

Apache warns of critical flaws in MINA, HugeGraph, Traffic Control
26 December 2024, BleepingComputer

Critical Apache HugeGraph Vulnerability Under Attack - Patch ASAP
17 July 2024, The Hacker News

Apache HugeGraph-Server Vulnerability Lets Attackers Bypass Authentication
24 December 2024, CybersecurityNews

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