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DBMS > Amazon DynamoDB vs. Blazegraph vs. BoltDB vs. FeatureBase vs. Google Cloud Firestore

System Properties Comparison Amazon DynamoDB vs. Blazegraph vs. BoltDB vs. FeatureBase vs. Google Cloud Firestore

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonBoltDB  Xexclude from comparisonFeatureBase  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.
DescriptionHosted, scalable database 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.An embedded key-value store for Go.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.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 modelDocument store
Key-value store
Graph DBMS
RDF store
Key-value storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Websiteaws.amazon.com/­dynamodbblazegraph.comgithub.com/­boltdb/­boltwww.featurebase.comfirebase.google.com/­products/­firestore
Technical documentationdocs.aws.amazon.com/­dynamodbwiki.blazegraph.comdocs.featurebase.comfirebase.google.com/­docs/­firestore
DeveloperAmazonBlazegraphMolecula and Pilosa Open Source ContributorsGoogle
Initial release20122006201320172017
Current release2.1.5, March 20192022, May 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoextended commercial license availableOpen Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoGo
Server operating systemshostedLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
macOS
hosted
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesnoyesyes
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 indexesyesyesnonoyes
SQL infoSupport of SQLnoSPARQL is used as query languagenoSQL queriesno
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
gRPC
JDBC
Kafka Connector
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
GoJava
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnoyesnoyes, Firebase Rules & Cloud Functions
Triggersyes infoby integration with AWS Lambdanononoyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on configurationnoneImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDyesyesyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security and Authentication via Web Application Container (Tomcat, Jetty)noAccess 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 DynamoDBBlazegraphBoltDBFeatureBaseGoogle Cloud Firestore
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