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DBMS > Amazon CloudSearch vs. FatDB vs. NebulaGraph vs. TypeDB

System Properties Comparison Amazon CloudSearch vs. FatDB vs. NebulaGraph vs. TypeDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFatDB  Xexclude from comparisonNebulaGraph  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA .NET NoSQL DBMS that can integrate with and extend SQL Server.A distributed, linear scalable, high perfomant Graph DBMSTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelSearch engineDocument store
Key-value store
Graph DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score2.14
Rank#120  Overall
#10  Graph DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
typedb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.nebula-graph.iotypedb.com/­docs
DeveloperAmazonFatCloudVesoft Inc.Vaticle
Initial release2012201220192016
Current release2.26.3, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoGPL Version 3, commercial licenses 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.
Implementation languageC#C++Java
Server operating systemshostedWindowsLinuxLinux
OS X
Windows
Data schemeyesschema-freeStrong typed schemayes
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.nono
Secondary indexesyes infoall search fields are automatically indexedyesyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.yes
SQL infoSupport of SQLnono infoVia inetgration in SQL ServerSQL-like query languageno
APIs and other access methodsHTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#.Net
C++
Go
Java
PHP
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes infovia applicationsuser defined functionsno
Triggersnoyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factorCausal Clustering using Raft protocolMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlauthentication via encrypted signaturesno infoCan implement custom security layer via applicationsRole-based access controlyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Amazon CloudSearchFatDBNebulaGraphTypeDB infoformerly named Grakn
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Amazon CloudSearchFatDBNebulaGraphTypeDB infoformerly named Grakn
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Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

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