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DBMS > BigchainDB vs. FileMaker vs. Microsoft Azure Data Explorer vs. OrigoDB vs. Pinecone

System Properties Comparison BigchainDB vs. FileMaker vs. Microsoft Azure Data Explorer vs. OrigoDB vs. Pinecone

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOrigoDB  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFileMaker is a cross-platform RDBMS that includes a GUI frontend.Fully managed big data interactive analytics platformA fully ACID in-memory object graph databaseA managed, cloud-native vector database
Primary database modelDocument storeRelational DBMSRelational DBMS infocolumn orientedDocument store
Object oriented DBMS
Vector 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
Score0.79
Rank#212  Overall
#36  Document stores
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitewww.bigchaindb.comwww.claris.com/­filemakerazure.microsoft.com/­services/­data-explorerorigodb.comwww.pinecone.io
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.claris.com/­resources/­documentationdocs.microsoft.com/­en-us/­azure/­data-explorerorigodb.com/­docsdocs.pinecone.io/­docs/­overview
DeveloperClaris infoa subsidiary of AppleMicrosoftRobert Friberg et alPinecone Systems, Inc
Initial release2016198320192009 infounder the name LiveDB2019
Current release19.4.1, November 2021cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC#
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
Windows
hostedLinux
Windows
hosted
Data schemeschema-freeyesFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or datenoyesyes 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 collectionsString, Number, Boolean
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.noyes infoA http query request can return the data in XML formatyesno infocan be achieved using .NETno
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyes infovia pluginsKusto Query Language (KQL), SQL subsetnono
APIs and other access methodsCLI Client
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
HTTP API
LINQ
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
PHP.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.NetPython
Server-side scripts infoStored proceduresyesYes, possible languages: KQL, Python, Ryes
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication, warm standby infosince Version 14yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyessimple rights management via user accounts and connection to external directory servicesAzure Active Directory AuthenticationRole based authorization

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More resources
BigchainDBFileMakerMicrosoft Azure Data ExplorerOrigoDBPinecone
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