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DBMS > Apache Phoenix vs. Cachelot.io vs. EsgynDB vs. Greenplum vs. Solr

System Properties Comparison Apache Phoenix vs. Cachelot.io vs. EsgynDB vs. Greenplum vs. Solr

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCachelot.io  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseIn-memory caching systemEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score0.00
Rank#396  Overall
#64  Key-value stores
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score9.23
Rank#47  Overall
#30  Relational DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Websitephoenix.apache.orgcachelot.iowww.esgyn.cngreenplum.orgsolr.apache.org
Technical documentationphoenix.apache.orgdocs.greenplum.orgsolr.apache.org/­resources.html
DeveloperApache Software FoundationEsgynPivotal Software Inc.Apache Software Foundation
Initial release20142015201520052006
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20197.0.0, September 20239.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoSimplified BSD LicensecommercialOpen Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, JavaJava
Server operating systemsLinux
Unix
Windows
FreeBSD
Linux
OS X
LinuxLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesnoyesyesyes infosupports customizable data types and automatic typing
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.nononoyes infosince Version 4.2yes
Secondary indexesyesnoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnoyesyesSolr Parallel SQL Interface
APIs and other access methodsJDBCMemcached protocolADO.NET
JDBC
ODBC
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored ProceduresyesJava plugins
Triggersnononoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication between multi datacentersSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes

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Apache PhoenixCachelot.ioEsgynDBGreenplumSolr
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