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DBMS > Amazon CloudSearch vs. Blazegraph vs. Drizzle vs. Google Cloud Firestore

System Properties Comparison Amazon CloudSearch vs. Blazegraph vs. Drizzle vs. Google Cloud Firestore

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBlazegraph  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.
Primary database modelSearch engineGraph DBMS
RDF store
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score7.36
Rank#53  Overall
#9  Document stores
Websiteaws.amazon.com/­cloudsearchblazegraph.comfirebase.google.com/­products/­firestore
Technical documentationdocs.aws.amazon.com/­cloudsearchwiki.blazegraph.comfirebase.google.com/­docs/­firestore
DeveloperAmazonBlazegraphDrizzle project, originally started by Brian AkerGoogle
Initial release2012200620082017
Current release2.1.5, March 20197.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availableOpen Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedLinux
OS X
Windows
FreeBSD
Linux
OS X
hosted
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyes
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.no
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoSPARQL is used as query languageyes infowith proprietary extensionsno
APIs and other access methodsHTTP APIJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Java
PHP
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnoyesnoyes, Firebase Rules & Cloud Functions
Triggersnonono infohooks for callbacks inside the server can be used.yes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesSecurity and Authentication via Web Application Container (Tomcat, Jetty)Pluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Amazon CloudSearchBlazegraphDrizzleGoogle Cloud Firestore
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