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DBMS > Apache Phoenix vs. Apache Pinot vs. HugeGraph vs. Prometheus

System Properties Comparison Apache Phoenix vs. Apache Pinot vs. HugeGraph vs. Prometheus

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonApache Pinot  Xexclude from comparisonHugeGraph  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA fast-speed and highly-scalable Graph DBMSOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitephoenix.apache.orgpinot.apache.orggithub.com/­hugegraph
hugegraph.apache.org
prometheus.io
Technical documentationphoenix.apache.orgdocs.pinot.apache.orghugegraph.apache.org/­docsprometheus.io/­docs
DeveloperApache Software FoundationApache Software Foundation and contributorsBaidu
Initial release2014201520182015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.0, September 20230.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaGo
Server operating systemsLinux
Unix
Windows
All OS with a Java JDK11 or higherLinux
macOS
Unix
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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 infoImport of XML data possible
Secondary indexesyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLyesSQL-like query languagenono
APIs and other access methodsJDBCJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
Python
Groovy
Java
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningyes 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
yes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers, roles and permissionsno

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More resources
Apache PhoenixApache PinotHugeGraphPrometheus
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