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DBMS > Apache Phoenix vs. Blazegraph vs. FoundationDB vs. H2

System Properties Comparison Apache Phoenix vs. Blazegraph vs. FoundationDB vs. H2

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBlazegraph  Xexclude from comparisonFoundationDB  Xexclude from comparisonH2  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Ordered key-value store. Core features are complimented by layers.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.37
Rank#104  Overall
#52  Relational DBMS
Score1.09
Rank#192  Overall
#18  Graph DBMS
#8  RDF stores
Score1.66
Rank#148  Overall
#26  Document stores
#28  Key-value stores
#72  Relational DBMS
Score9.56
Rank#50  Overall
#31  Relational DBMS
Websitephoenix.apache.orgblazegraph.comwww.foundationdb.orgwww.h2database.com
Technical documentationphoenix.apache.orgwiki.blazegraph.comapple.github.io/­foundationdbwww.h2database.com/­html/­main.html
DeveloperApache Software FoundationBlazegraphFoundationDBThomas Mueller
Initial release2014200620132005
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.1.5, March 20196.2.28, November 20202.1.210, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availableOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
OS X
Windows
All OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesno infosome layers support typingyes
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.nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSPARQL is used as query languagesupported in specific SQL layer onlyyes
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Server-side scripts infoStored proceduresuser defined functionsyesin SQL-layer onlyJava Stored Procedures and User-Defined Functions
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsin SQL-layer onlyyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.yesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancySecurity and Authentication via Web Application Container (Tomcat, Jetty)nofine grained access rights according to SQL-standard

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More resources
Apache PhoenixBlazegraphFoundationDBH2
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