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DBMS > Apache Kylin vs. Apache Phoenix vs. EDB Postgres vs. GeoSpock

System Properties Comparison Apache Kylin vs. Apache Phoenix vs. EDB Postgres vs. GeoSpock

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonApache Phoenix  Xexclude from comparisonEDB Postgres  Xexclude from comparisonGeoSpock  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA scale-out RDBMS with evolutionary schema built on Apache HBaseThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Spatial and temporal data processing engine for extreme data scale
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.91
Rank#130  Overall
#60  Relational DBMS
Websitekylin.apache.orgphoenix.apache.orgwww.enterprisedb.comgeospock.com
Technical documentationkylin.apache.org/­docsphoenix.apache.orgwww.enterprisedb.com/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software FoundationEnterpriseDBGeoSpock
Initial release201520142005
Current release3.1.0, July 20205.0-HBase2, July 2018 and 4.15-HBase1, December 201914, December 20212.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoBSD for PostgreSQL-componentscommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCJava, Javascript
Server operating systemsLinuxLinux
Unix
Windows
Linux
Windows
hosted
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyestemporal, categorical
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesyes infostandard with numerous extensionsANSI SQL for query only (using Presto)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoby hash, list or rangeAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.noyesnono
User concepts infoAccess controlAccess 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 can be defined per table

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More resources
Apache KylinApache PhoenixEDB PostgresGeoSpock
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