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DBMS > KairosDB vs. Microsoft Azure AI Search vs. RDF4J vs. ScyllaDB

System Properties Comparison KairosDB vs. Microsoft Azure AI Search vs. RDF4J vs. ScyllaDB

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Editorial information provided by DB-Engines
NameKairosDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionDistributed Time Series DBMS based on Cassandra or H2Search-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 store
Primary database modelTime Series DBMSSearch engineRDF storeWide column store
Secondary database modelsVector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.69
Rank#230  Overall
#9  RDF stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitegithub.com/­kairosdb/­kairosdbazure.microsoft.com/­en-us/­services/­searchrdf4j.orgwww.scylladb.com
Technical documentationkairosdb.github.iolearn.microsoft.com/­en-us/­azure/­searchrdf4j.org/­documentationdocs.scylladb.com
DeveloperMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.ScyllaDB
Initial release2013201520042015
Current release1.2.2, November 2018V1ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageJavaJavaC++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyesyes infocluster global secondary indices
SQL infoSupport of SQLnononoSQL-like DML and DDL statements (CQL)
APIs and other access methodsGraphite protocol
HTTP REST
Telnet API
RESTful 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
Supported programming languagesJava
JavaScript infoNode.js
PHP
Python
C#
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
Server-side scripts infoStored proceduresnonoyesyes, Lua
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoImplicit feature of the cloud servicenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes 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 systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID 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 persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoin-memory tables
User concepts infoAccess controlsimple password-based access controlyes infousing Azure authenticationnoAccess rights for users can be defined per object
More information provided by the system vendor
KairosDBMicrosoft Azure AI SearchRDF4J infoformerly known as SesameScyllaDB
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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KairosDBMicrosoft Azure AI SearchRDF4J infoformerly known as SesameScyllaDB
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