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DBMS > Microsoft Azure AI Search vs. RDF4J vs. ScyllaDB vs. SWC-DB

System Properties Comparison Microsoft Azure AI Search vs. RDF4J vs. ScyllaDB vs. SWC-DB

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NameMicrosoft Azure AI Search  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonScyllaDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Cassandra and DynamoDB compatible wide column storeA high performance, scalable Wide Column DBMS
Primary database modelSearch engineRDF storeWide column storeWide column store
Secondary database modelsVector DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score0.74
Rank#222  Overall
#9  RDF stores
Score4.08
Rank#76  Overall
#5  Wide column stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteazure.microsoft.com/­en-us/­services/­searchrdf4j.orgwww.scylladb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchrdf4j.org/­documentationdocs.scylladb.com
DeveloperMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.ScyllaDBAlex Kashirin
Initial release2015200420152020
Current releaseV1ScyllaDB Open Source 5.4.1, January 20240.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaC++C++
Server operating systemshostedLinux
OS X
Unix
Windows
LinuxLinux
Data schemeyesyes infoRDF Schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL)SQL-like query language
APIs and other access methodsRESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Proprietary protocol
Thrift
Supported programming languagesC#
Java
JavaScript
Python
Java
PHP
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C++
Server-side scripts infoStored proceduresnoyesyes, Luano
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoin-memory tablesno
User concepts infoAccess controlyes infousing Azure authenticationnoAccess rights for users can be defined per object
More information provided by the system vendor
Microsoft Azure AI SearchRDF4J infoformerly known as SesameScyllaDBSWC-DB infoSuper Wide Column Database
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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Microsoft Azure AI SearchRDF4J infoformerly known as SesameScyllaDBSWC-DB infoSuper Wide Column Database
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