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DBMS > Apache Phoenix vs. dBASE vs. HEAVY.AI vs. Hypertable

System Properties Comparison Apache Phoenix vs. dBASE vs. HEAVY.AI vs. Hypertable

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisondBASE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBasedBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSRelational DBMSRelational DBMSWide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websitephoenix.apache.orgwww.dbase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationphoenix.apache.orgwww.dbase.com/­support/­knowledgebasedocs.heavy.ai
DeveloperApache Software FoundationAsthon TateHEAVY.AI, Inc.Hypertable Inc.
Initial release2014197920162009
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019dBASE 2019, 20195.10, January 20220.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDAC++
Server operating systemsLinux
Unix
Windows
DOS infodBase Classic
Windows infodBase Pro
LinuxLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesnorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsJDBCnone infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
Thrift
Vega
C++ API
Thrift
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
dBase proprietary IDEAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsno infoThe IDE can access stored procedures in other database systems.nono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replicationselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnono
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.yesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users and rolesfine grained access rights according to SQL-standardno

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More resources
Apache PhoenixdBASEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Hypertable
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