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DBMS > Apache Phoenix vs. FatDB vs. InfinityDB vs. LeanXcale

System Properties Comparison Apache Phoenix vs. FatDB vs. InfinityDB vs. LeanXcale

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonFatDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonLeanXcale  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA .NET NoSQL DBMS that can integrate with and extend SQL Server.A Java embedded Key-Value Store which extends the Java Map interfaceA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSDocument store
Key-value store
Key-value storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websitephoenix.apache.orgboilerbay.comwww.leanxcale.com
Technical documentationphoenix.apache.orgboilerbay.com/­infinitydb/­manual
DeveloperApache Software FoundationFatCloudBoiler Bay Inc.LeanXcale
Initial release2014201220022015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20194.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#Java
Server operating systemsLinux
Unix
Windows
WindowsAll OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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.nono
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyesno infoVia inetgration in SQL Servernoyes infothrough Apache Derby
APIs and other access methodsJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#JavaC
Java
Scala
Server-side scripts infoStored proceduresuser defined functionsyes infovia applicationsno
Triggersnoyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
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.yesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyno infoCan implement custom security layer via applicationsno

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More resources
Apache PhoenixFatDBInfinityDBLeanXcale
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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

Azure #HDInsight Apache Phoenix now supports Zeppelin
16 August 2018, azure.microsoft.com

Bridge the SQL-NoSQL gap with Apache Phoenix
4 February 2016, InfoWorld

Apache Calcite, FreeMarker, Gora, Phoenix, and Solr updated
27 March 2017, SDTimes.com

Azure HDInsight Analytics Platform Now Supports Apache Hadoop 3.0
18 April 2019, eWeek

provided by Google News



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