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DBMS > Apache Phoenix vs. Blazegraph vs. QuestDB vs. Yanza

System Properties Comparison Apache Phoenix vs. Blazegraph vs. QuestDB vs. Yanza

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBlazegraph  Xexclude from comparisonQuestDB  Xexclude from comparisonYanza  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Yanza seems to be discontinued. Therefore it is excluded 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.A high performance open source SQL database for time series dataTime Series DBMS for IoT Applications
Primary database modelRelational DBMSGraph DBMS
RDF store
Time Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.74
Rank#217  Overall
#19  Graph DBMS
#8  RDF stores
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websitephoenix.apache.orgblazegraph.comquestdb.ioyanza.com
Technical documentationphoenix.apache.orgwiki.blazegraph.comquestdb.io/­docs
DeveloperApache Software FoundationBlazegraphQuestDB Technology IncYanza
Initial release2014200620142015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.1.5, March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availableOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava (Zero-GC), C++, Rust
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyes infoschema-free via InfluxDB Line Protocolschema-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.nonono
Secondary indexesyesyesnono
SQL infoSupport of SQLyesSPARQL is used as query languageSQL with time-series extensionsno
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsyesnono
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replication with eventual consistencynone
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 configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesno
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 infothrough memory mapped files
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)no
More information provided by the system vendor
Apache PhoenixBlazegraphQuestDBYanza
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More resources
Apache PhoenixBlazegraphQuestDBYanza
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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix
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25 September 2018, azure.microsoft.com

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SQL Extensions for Time-Series Data in QuestDB
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3 November 2021, TechCrunch

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