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DBMS > Apache Phoenix vs. Blazegraph vs. Brytlyt vs. Graph Engine vs. Sqrrl

System Properties Comparison Apache Phoenix vs. Blazegraph vs. Brytlyt vs. Graph Engine vs. Sqrrl

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBlazegraph  Xexclude from comparisonBrytlyt  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSqrrl  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines 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.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSGraph DBMS
Key-value store
Document store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Websitephoenix.apache.orgblazegraph.combrytlyt.iowww.graphengine.iosqrrl.com
Technical documentationphoenix.apache.orgwiki.blazegraph.comdocs.brytlyt.iowww.graphengine.io/­docs/­manual
DeveloperApache Software FoundationBlazegraphBrytlytMicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release20142006201620102012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.1.5, March 20195.0, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availablecommercialOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, C++ and CUDA.NET and CJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
OS X
Windows
.NETLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSPARQL is used as query languageyesnono
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
F#
Visual Basic
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functions infoin PL/pgSQLyesno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
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)fine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Apache PhoenixBlazegraphBrytlytGraph Engine infoformer name: TrinitySqrrl
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