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DBMS > BigObject vs. Greenplum vs. Postgres-XL vs. Warp 10

System Properties Comparison BigObject vs. Greenplum vs. Postgres-XL vs. Warp 10

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGreenplum  Xexclude from comparisonPostgres-XL  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesAnalytic 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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitebigobject.iogreenplum.orgwww.postgres-xl.orgwww.warp10.io
Technical documentationdocs.bigobject.iodocs.greenplum.orgwww.postgres-xl.org/­documentationwww.warp10.io/­content/­02_Getting_started
DeveloperBigObject, Inc.Pivotal Software Inc.SenX
Initial release201520052014 infosince 2012, originally named StormDB2015
Current release7.0.0, September 202310 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoMozilla public licenseOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxLinux
macOS
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 4.2yes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infodistributed, parallel query executionno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Jupyter
WebSocket
Supported programming languagesC
Java
Perl
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresLuayesuser defined functionsyes infoWarpScript
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesnonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
BigObjectGreenplumPostgres-XLWarp 10
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