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DBMS > Amazon Neptune vs. Fauna vs. Manticore Search vs. Microsoft Azure AI Search vs. Yaacomo

System Properties Comparison Amazon Neptune vs. Fauna vs. Manticore Search vs. Microsoft Azure AI Search vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFast, reliable graph database built for the cloudFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Multi-storage database for search, including full-text search.Search-as-a-service for web and mobile app developmentOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
RDF store
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Search engineSearch engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score5.52
Rank#59  Overall
#6  Search engines
Websiteaws.amazon.com/­neptunefauna.commanticoresearch.comazure.microsoft.com/­en-us/­services/­searchyaacomo.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.fauna.commanual.manticoresearch.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperAmazonFauna, Inc.Manticore SoftwareMicrosoftQ2WEB GmbH
Initial release20172014201720152009
Current release6.0, February 2023V1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++
Server operating systemshostedhostedFreeBSD
Linux
macOS
Windows
hostedAndroid
Linux
Windows
Data schemeschema-freeschema-freeFixed schemayesyes
Typing infopredefined data types such as float or dateyesnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.nonoCan index from XMLnono
Secondary indexesnoyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnonoSQL-like query languagenoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replicationSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Identity management, authentication, and access controlnoyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneFauna infopreviously named FaunaDBManticore SearchMicrosoft Azure AI SearchYaacomo
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