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DBMS > Greenplum vs. Sphinx vs. Splunk vs. Teradata Aster

System Properties Comparison Greenplum vs. Sphinx vs. Splunk vs. Teradata Aster

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonSphinx  Xexclude from comparisonSplunk  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
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.Open source search engine for searching in data from different sources, e.g. relational databasesAnalytics Platform for Big DataPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSSearch engineSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score93.02
Rank#13  Overall
#2  Search engines
Websitegreenplum.orgsphinxsearch.comwww.splunk.com
Technical documentationdocs.greenplum.orgsphinxsearch.com/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperPivotal Software Inc.Sphinx Technologies Inc.Splunk Inc.Teradata
Initial release2005200120032005
Current release7.0.0, September 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availablecommercial infoLimited free edition and free developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesnoyesyes
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 4.2yesyes infoin Aster File Store
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLyesSQL-like query language (SphinxQL)no infoSplunk Search Processing Language for search commandsyes
APIs and other access methodsJDBC
ODBC
Proprietary protocolHTTP RESTADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
Java
Perl
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnoyesR packages
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
GreenplumSphinxSplunkTeradata Aster
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