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DBMS > AgensGraph vs. Blazegraph vs. Google Cloud Firestore vs. TDengine

System Properties Comparison AgensGraph vs. Blazegraph vs. Google Cloud Firestore vs. TDengine

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBlazegraph  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonTDengine  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.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.Time Series DBMS and big data platform
Primary database modelGraph DBMS
Relational DBMS
Graph DBMS
RDF store
Document storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score7.36
Rank#53  Overall
#9  Document stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitebitnine.net/­agensgraphblazegraph.comfirebase.google.com/­products/­firestoregithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationbitnine.net/­documentationwiki.blazegraph.comfirebase.google.com/­docs/­firestoredocs.tdengine.com
DeveloperBitnine Global Inc.BlazegraphGoogleTDEngine, previously Taos Data
Initial release2016200620172019
Current release2.1, December 20182.1.5, March 20193.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoextended commercial license availablecommercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
hostedLinux
Windows
Data schemedepending on used data modelschema-freeschema-freeyes
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSPARQL is used as query languagenoStandard SQL with extensions for time-series applications
APIs and other access methodsCypher Query Language
JDBC
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesyesyes, Firebase Rules & Cloud Functionsno
Triggersnonoyes, with Cloud Functionsyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes
More information provided by the system vendor
AgensGraphBlazegraphGoogle Cloud FirestoreTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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