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DBMS > Amazon CloudSearch vs. Ignite vs. Microsoft Azure AI Search vs. ScyllaDB

System Properties Comparison Amazon CloudSearch vs. Ignite vs. Microsoft Azure AI Search vs. ScyllaDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Search-as-a-service for web and mobile app developmentCassandra and DynamoDB compatible wide column store
Primary database modelSearch engineKey-value store
Relational DBMS
Search engineWide column store
Secondary database modelsVector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score4.75
Rank#68  Overall
#5  Wide column stores
Websiteaws.amazon.com/­cloudsearchignite.apache.orgazure.microsoft.com/­en-us/­services/­searchwww.scylladb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchapacheignite.readme.io/­docslearn.microsoft.com/­en-us/­azure/­searchdocs.scylladb.com
DeveloperAmazonApache Software FoundationMicrosoftScyllaDB
Initial release2012201520152015
Current releaseApache Ignite 2.6V1ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
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 languageC++, Java, .NetC++
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedLinux
Data schemeyesyesyesschema-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.yesnono
Secondary indexesyes infoall search fields are automatically indexedyesyesyes infocluster global secondary indices
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsHTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
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 proceduresnoyes (compute grid and cache interceptors can be used instead)noyes, Lua
Triggersnoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes (replicated cache)yes infoImplicit feature of the cloud serviceselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoin-memory tables
User concepts infoAccess controlauthentication via encrypted signaturesSecurity Hooks for custom implementationsyes infousing Azure authenticationAccess rights for users can be defined per object
More information provided by the system vendor
Amazon CloudSearchIgniteMicrosoft Azure AI SearchScyllaDB
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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More resources
Amazon CloudSearchIgniteMicrosoft Azure AI SearchScyllaDB
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