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DBMS > Apache Phoenix vs. CrateDB vs. EsgynDB vs. FoundationDB

System Properties Comparison Apache Phoenix vs. CrateDB vs. EsgynDB vs. FoundationDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCrateDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonFoundationDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseDistributed Date Store based on LuceneEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOrdered key-value store. Core features are complimented by layers.
Primary database modelRelational DBMSRelational DBMS
Search engine
Relational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Secondary database modelsDocument store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#94  Overall
#50  Relational DBMS
Score0.97
Rank#179  Overall
#87  Relational DBMS
#12  Search engines
Score0.23
Rank#281  Overall
#130  Relational DBMS
Score1.29
Rank#152  Overall
#26  Document stores
#28  Key-value stores
#72  Relational DBMS
Websitephoenix.apache.orgcrate.iowww.esgyn.cnwww.foundationdb.org
Technical documentationphoenix.apache.orgcrate.io/­docsapple.github.io/­foundationdb
DeveloperApache Software FoundationCrateEsgynFoundationDB
Initial release2014201320152013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20196.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, JavaC++
Server operating systemsLinux
Unix
Windows
All OS with a Java 7 (and higher) VMLinuxLinux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesFlexible Schema (defined schema, partial schema, schema free)yesschema-free infosome layers support schemas
Typing infopredefined data types such as float or dateyesyesyesno infosome layers support 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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyes, but no triggers and constraintsyessupported in specific SQL layer only
APIs and other access methodsJDBCADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsJava Stored Proceduresin SQL-layer only
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorMulti-source replication between multi datacentersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate ConsistencyLinearizable consistency
Foreign keys infoReferential integritynonoyesin SQL-layer only
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyrights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
Apache PhoenixCrateDBEsgynDBFoundationDB
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

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More resources
Apache PhoenixCrateDBEsgynDBFoundationDB
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Recent citations in the news

Apache Phoenix Now HBase 2.0 Compatible
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