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DBMS > Apache Impala vs. Apache Phoenix vs. Derby vs. Hive vs. Titan

System Properties Comparison Apache Impala vs. Apache Phoenix vs. Derby vs. Hive vs. Titan

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache Phoenix  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonHive  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.
DescriptionAnalytic DBMS for HadoopA scale-out RDBMS with evolutionary schema built on Apache HBaseFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.data warehouse software for querying and managing large distributed datasets, built on HadoopTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websiteimpala.apache.orgphoenix.apache.orgdb.apache.org/­derbyhive.apache.orggithub.com/­thinkaurelius/­titan
Technical documentationimpala.apache.org/­impala-docs.htmlphoenix.apache.orgdb.apache.org/­derby/­manuals/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationApache Software FoundationApache Software Foundation infoinitially developed by FacebookAurelius, owned by DataStax
Initial release20132014199720122012
Current release4.1.0, June 20225.0-HBase2, July 2018 and 4.15-HBase1, December 201910.17.1.0, November 20233.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache version 2Open Source infoApache Version 2Open Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaJavaJava
Server operating systemsLinuxLinux
Unix
Windows
All OS with a Java VMAll OS with a Java VMLinux
OS X
Unix
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
JDBCJDBCJDBC
ODBC
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaC++
Java
PHP
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsJava Stored Proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceHadoop integrationnoyes infoquery execution via MapReduceyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardAccess rights for users, groups and rolesUser authentification and security via Rexster Graph Server

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More resources
Apache ImpalaApache PhoenixDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBHiveTitan
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