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DBMS > Blazegraph vs. Google Cloud Firestore vs. Hawkular Metrics vs. Hazelcast vs. Warp 10

System Properties Comparison Blazegraph vs. Google Cloud Firestore vs. Hawkular Metrics vs. Hazelcast vs. Warp 10

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparisonWarp 10  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.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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely adopted in-memory data gridTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMS
RDF store
Document storeTime Series DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score7.85
Rank#51  Overall
#8  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteblazegraph.comfirebase.google.com/­products/­firestorewww.hawkular.orghazelcast.comwww.warp10.io
Technical documentationwiki.blazegraph.comfirebase.google.com/­docs/­firestorewww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docswww.warp10.io/­content/­02_Getting_started
DeveloperBlazegraphGoogleCommunity supported by Red HatHazelcastSenX
Initial release20062017201420082015
Current release2.1.5, March 20195.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJava
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyesyes
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSPARQL is used as query languagenonoSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Go
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesyes, Firebase Rules & Cloud Functionsnoyes infoEvent Listeners, Executor Servicesyes infoWarpScript
Triggersnoyes, with Cloud Functionsyes infovia Hawkular Alertingyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandraShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationselectable replication factor infobased on Cassandrayes infoReplicated Mapselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoRelationships in Graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoone or two-phase-commit; repeatable reads; read commitedno
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.noyesyes
User concepts infoAccess controlSecurity 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.noRole-based access controlMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
BlazegraphGoogle Cloud FirestoreHawkular MetricsHazelcastWarp 10
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