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DBMS > Blazegraph vs. etcd vs. Google Cloud Firestore vs. HBase vs. Oracle Coherence

System Properties Comparison Blazegraph vs. etcd vs. Google Cloud Firestore vs. HBase vs. Oracle Coherence

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHBase  Xexclude from comparisonOracle Coherence  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.A distributed reliable key-value storeCloud 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.Wide-column store based on Apache Hadoop and on concepts of BigTableOracles in-memory data grid solution
Primary database modelGraph DBMS
RDF store
Key-value storeDocument storeWide column storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.97
Rank#129  Overall
#22  Key-value stores
Websiteblazegraph.cometcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestorehbase.apache.orgwww.oracle.com/­java/­coherence
Technical documentationwiki.blazegraph.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestorehbase.apache.org/­book.htmldocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperBlazegraphGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetOracle
Initial release2006201720082007
Current release2.1.5, March 20193.4, August 20192.3.4, January 202114.1, August 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaJava
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
Windows infoexperimental
hostedLinux
Unix
Windows infousing Cygwin
All OS with a Java VM
Data schemeschema-freeschema-freeschema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesnoyesoptions to bring your own types, AVROyes
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 indexesyesnoyesnono
SQL infoSupport of SQLSPARQL is used as query languagenononono
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
gRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
JCache
JPA
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C++
Java
Server-side scripts infoStored proceduresyesnoyes, Firebase Rules & Cloud Functionsyes infoCoprocessors in Javano
Triggersnoyes, watching key changesyes, with Cloud Functionsyesyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationMulti-source replication
Source-replica replication
yes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesSingle row ACID (across millions of columns)configurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
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)noAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACauthentification to access the cache via certificates or http basic authentication

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More resources
BlazegraphetcdGoogle Cloud FirestoreHBaseOracle Coherence
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