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DBMS > Apache Phoenix vs. Blazegraph vs. HugeGraph vs. RavenDB

System Properties Comparison Apache Phoenix vs. Blazegraph vs. HugeGraph vs. RavenDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBlazegraph  Xexclude from comparisonHugeGraph  Xexclude from comparisonRavenDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
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.A fast-speed and highly-scalable Graph DBMSOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSGraph DBMS
RDF store
Graph DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitephoenix.apache.orgblazegraph.comgithub.com/­hugegraph
hugegraph.apache.org
ravendb.net
Technical documentationphoenix.apache.orgwiki.blazegraph.comhugegraph.apache.org/­docsravendb.net/­docs
DeveloperApache Software FoundationBlazegraphBaiduHibernating Rhinos
Initial release2014200620182010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.1.5, March 20190.95.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availableOpen Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC#
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
macOS
Unix
Linux
macOS
Raspberry Pi
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesno
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 indexesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyesSPARQL is used as query languagenoSQL-like query language (RQL)
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Java API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Groovy
Java
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesasynchronous Gremlin script jobsyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnovia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, Cluster-wide transaction available
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.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)Users, roles and permissionsAuthorization levels configured per client per database

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More resources
Apache PhoenixBlazegraphHugeGraphRavenDB
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