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DBMS > FileMaker vs. Heroic vs. Microsoft Azure Data Explorer vs. OpenSearch vs. OrigoDB

System Properties Comparison FileMaker vs. Heroic vs. Microsoft Azure Data Explorer vs. OpenSearch vs. OrigoDB

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOpenSearch  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully managed big data interactive analytics platformA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneA fully ACID in-memory object graph database
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infocolumn orientedSearch engineDocument store
Object oriented 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
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score16.36
Rank#37  Overall
#4  Search engines
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitewww.claris.com/­filemakergithub.com/­spotify/­heroicazure.microsoft.com/­services/­data-explorergithub.com/­opensearch-project
opensearch.org
origodb.com
Technical documentationwww.claris.com/­resources/­documentationspotify.github.io/­heroicdocs.microsoft.com/­en-us/­azure/­data-exploreropensearch.org/­docs/­latestorigodb.com/­docs
DeveloperClaris infoa subsidiary of AppleSpotifyMicrosoftAmazon Web ServicesRobert Friberg et al
Initial release19832014201920212009 infounder the name LiveDB
Current release19.4.1, November 2021cloud service with continuous releases2.5.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
  • Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
Implementation languageJavaJavaC#
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedAll OS with a Java VMLinux
Windows
Data schemeyesschema-freeFixed schema with schema-less datatypes (dynamic)schema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesUser defined using .NET types and collections
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.yes infoA http query request can return the data in XML formatnoyesno infocan be achieved using .NET
Secondary indexesyesyes infovia Elasticsearchall fields are automatically indexedyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infovia pluginsnoKusto Query Language (KQL), SQL subsetSQL-like query languageno
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Java API
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
Supported programming languagesPHP.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
.Net
Server-side scripts infoStored proceduresyesnoYes, possible languages: KQL, Python, Ryesyes
Triggersyesnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoby using the 'percolation' featureyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14yesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyesnononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAzure Active Directory AuthenticationRole based authorization
More information provided by the system vendor
FileMakerHeroicMicrosoft Azure Data ExplorerOpenSearchOrigoDB
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

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Related products and services
3rd partiesAiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
FileMakerHeroicMicrosoft Azure Data ExplorerOpenSearchOrigoDB
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