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DBMS > Apache Phoenix vs. Riak TS vs. Solr vs. Titan

System Properties Comparison Apache Phoenix vs. Riak TS vs. Solr vs. Titan

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonRiak TS  Xexclude from comparisonSolr  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA widely used distributed, scalable search engine based on Apache LuceneTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSTime Series DBMSSearch engineGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitephoenix.apache.orgsolr.apache.orggithub.com/­thinkaurelius/­titan
Technical documentationphoenix.apache.orgwww.tiot.jp/­riak-docs/­riak/­ts/­latestsolr.apache.org/­resources.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software FoundationOpen Source, formerly Basho TechnologiesApache Software FoundationAurelius, owned by DataStax
Initial release2014201520062012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.0.0, September 20229.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoApache Version 2Open Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangJavaJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Unix
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesnoyes infosupports customizable data types and automatic 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.nonoyes
Secondary indexesyesrestrictedyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesyes, limitedSolr Parallel SQL Interfaceno
APIs and other access methodsJDBCHTTP API
Native Erlang Interface
Java API
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functionsErlangJava pluginsyes
Triggersnoyes infopre-commit hooks and post-commit hooksyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infolinks between datasets can be storednoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
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-tenancynoyesUser authentification and security via Rexster Graph Server

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More resources
Apache PhoenixRiak TSSolrTitan
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