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DBMS > Blazegraph vs. DuckDB vs. Firebase Realtime Database vs. Google Cloud Bigtable vs. H2GIS

System Properties Comparison Blazegraph vs. DuckDB vs. Firebase Realtime Database vs. Google Cloud Bigtable vs. H2GIS

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDuckDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonH2GIS  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.An embeddable, in-process, column-oriented SQL OLAP RDBMSCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Spatial extension of H2
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeKey-value store
Wide column store
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websiteblazegraph.comduckdb.orgfirebase.google.com/­products/­realtime-databasecloud.google.com/­bigtablewww.h2gis.org
Technical documentationwiki.blazegraph.comduckdb.org/­docsfirebase.google.com/­docs/­databasecloud.google.com/­bigtable/­docswww.h2gis.org/­docs/­home
DeveloperBlazegraphGoogle infoacquired by Google 2014GoogleCNRS
Initial release20062018201220152013
Current release2.1.5, March 20190.10, February 2024
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoMIT LicensecommercialcommercialOpen Source infoLGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsLinux
OS X
Windows
server-lesshostedhosted
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesnoyes
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.nononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageyesnonoyes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Java
JavaScript
Objective-C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresyesnolimited functionality with using 'rules'noyes infobased on H2
TriggersnonoCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesyes infobased on H2
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)noyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on H2

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More resources
BlazegraphDuckDBFirebase Realtime DatabaseGoogle Cloud BigtableH2GIS
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