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DBMS > AgensGraph vs. Blazegraph vs. Google Cloud Firestore vs. InfinityDB vs. Netezza

System Properties Comparison AgensGraph vs. Blazegraph vs. Google Cloud Firestore vs. InfinityDB vs. Netezza

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBlazegraph  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonInfinityDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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.A Java embedded Key-Value Store which extends the Java Map interfaceData warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
Relational DBMS
Graph DBMS
RDF store
Document storeKey-value storeRelational 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
Score0.08
Rank#365  Overall
#55  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitebitnine.net/­agensgraphblazegraph.comfirebase.google.com/­products/­firestoreboilerbay.comwww.ibm.com/­products/­netezza
Technical documentationbitnine.net/­documentationwiki.blazegraph.comfirebase.google.com/­docs/­firestoreboilerbay.com/­infinitydb/­manual
DeveloperBitnine Global Inc.BlazegraphGoogleBoiler Bay Inc.IBM
Initial release20162006201720022000
Current release2.1, December 20182.1.5, March 20194.0
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoextended commercial license availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
hostedAll OS with a Java VMLinux infoincluded in appliance
Data schemedepending on used data modelschema-freeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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 infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLyesSPARQL is used as query languagenonoyes
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
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
OLE DB
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesyesyes, Firebase Rules & Cloud Functionsnoyes
Triggersnonoyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integrityyesyes infoRelationships in Graphsnono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nono
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.noUsers with fine-grained authorization concept

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More resources
AgensGraphBlazegraphGoogle Cloud FirestoreInfinityDBNetezza infoAlso called PureData System for Analytics by IBM
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