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DBMS > Greenplum vs. HBase vs. LevelDB vs. Quasardb vs. TimescaleDB

System Properties Comparison Greenplum vs. HBase vs. LevelDB vs. Quasardb vs. TimescaleDB

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHBase  Xexclude from comparisonLevelDB  Xexclude from comparisonQuasardb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAnalytic 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.Wide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDistributed, high-performance timeseries databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSWide column storeKey-value storeTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitegreenplum.orghbase.apache.orggithub.com/­google/­leveldbquasar.aiwww.timescale.com
Technical documentationdocs.greenplum.orghbase.apache.org/­book.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddoc.quasar.ai/­masterdocs.timescale.com
DeveloperPivotal Software Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetGooglequasardbTimescale
Initial release20052008201120092017
Current release7.0.0, September 20232.3.4, January 20211.23, February 20213.14.1, January 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++C
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
Illumos
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-free, schema definition possibleschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes infointeger and binarynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.yes infosince Version 4.2nononoyes
Secondary indexesyesnonoyes infowith tagsyes
SQL infoSupport of SQLyesnonoSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
Thrift
HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javanonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoconsistent hashingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
noneSource-replica replication with selectable replication factorSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
GreenplumHBaseLevelDBQuasardbTimescaleDB
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