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DBMS > FeatureBase vs. Greenplum vs. Hypertable

System Properties Comparison FeatureBase vs. Greenplum vs. Hypertable

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGreenplum  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Analytic 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.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSRelational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Websitewww.featurebase.comgreenplum.org
Technical documentationdocs.featurebase.comdocs.greenplum.org
DeveloperMolecula and Pilosa Open Source ContributorsPivotal Software Inc.Hypertable Inc.
Initial release201720052009
Current release2022, May 20227.0.0, September 20230.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++
Server operating systemsLinux
macOS
LinuxLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyes infosince Version 4.2
Secondary indexesnoyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL queriesyesno
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
C++ API
Thrift
Supported programming languagesJava
Python
C
Java
Perl
Python
R
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
FeatureBaseGreenplumHypertable
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