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DBMS > Fauna vs. Microsoft Azure Data Explorer vs. SQream DB vs. TerminusDB

System Properties Comparison Fauna vs. Microsoft Azure Data Explorer vs. SQream DB vs. TerminusDB

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Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSQream DB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionFauna 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 platforma GPU-based, columnar RDBMS for big data analytics workloadsScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMS infocolumn orientedRelational DBMSGraph 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
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitefauna.comazure.microsoft.com/­services/­data-explorersqream.comterminusdb.com
Technical documentationdocs.fauna.comdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.sqream.comterminusdb.github.io/­terminusdb/­#
DeveloperFauna, Inc.MicrosoftSQream TechnologiesDataChemist Ltd.
Initial release2014201920172018
Current releasecloud service with continuous releases2022.1.6, December 202211.0.0, January 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++, CUDA, Haskell, Java, ScalaProlog, Rust
Server operating systemshostedhostedLinuxLinux
Data schemeschema-freeFixed schema with schema-less datatypes (dynamic)yesyes
Typing infopredefined data types such as float or datenoyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes, ANSI Standard SQL Typesyes
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
Secondary indexesyesall fields are automatically indexedno
SQL infoSupport of SQLnoKusto Query Language (KQL), SQL subsetyesSQL-like query language (WOQL)
APIs and other access methodsRESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.Net
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Java
JavaScript (Node.js)
Python
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsYes, possible languages: KQL, Python, Ruser defined functions in Pythonyes
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingSharding infoImplicit feature of the cloud servicehorizontal and vertical partitioningGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneJournaling Streams
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 systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlIdentity management, authentication, and access controlAzure Active Directory AuthenticationRole-based access control

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More resources
Fauna infopreviously named FaunaDBMicrosoft Azure Data ExplorerSQream DBTerminusDB infoformer name was DataChemist
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