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DBMS > Microsoft Azure AI Search vs. OushuDB vs. Quasardb vs. ScyllaDB

System Properties Comparison Microsoft Azure AI Search vs. OushuDB vs. Quasardb vs. ScyllaDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonOushuDB  Xexclude from comparisonQuasardb  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningDistributed, high-performance timeseries databaseCassandra and DynamoDB compatible wide column store
Primary database modelSearch engineRelational DBMSTime Series DBMSWide column store
Secondary database modelsVector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.75
Rank#58  Overall
#7  Search engines
Score0.05
Rank#357  Overall
#151  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Websiteazure.microsoft.com/­en-us/­services/­searchwww.oushu.com/­product/­oushuDBquasar.aiwww.scylladb.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchwww.oushu.com/­documentationdoc.quasar.ai/­masterdocs.scylladb.com
DeveloperMicrosoftOushuquasardbScyllaDB
Initial release201520092015
Current releaseV14.0.1, August 20203.14.1, January 2024ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++C++
Server operating systemshostedLinuxBSD
Linux
OS X
Windows
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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 infowith tagsyes infocluster global secondary indices
SQL infoSupport of SQLnoFull-featured ANSI SQL supportSQL-like query languageSQL-like DML and DDL statements (CQL)
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
HTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
Java
JavaScript
Python
C
C++
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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 proceduresnoyesnoyes, Lua
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyesSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationwith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 datanoACIDACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes infoin-memory tables
User concepts infoAccess controlyes infousing Azure authenticationKerberos, SSL and role based accessCryptographically strong user authentication and audit trailAccess rights for users can be defined per object
More information provided by the system vendor
Microsoft Azure AI SearchOushuDBQuasardbScyllaDB
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 SearchOushuDBQuasardbScyllaDB
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