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DBMS > GeoSpock vs. Netezza vs. OpenMLDB vs. Sphinx

System Properties Comparison GeoSpock vs. Netezza vs. OpenMLDB vs. Sphinx

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSphinx  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleData warehouse and analytics appliance part of IBM PureSystemsAn open-source machine learning database that provides a feature platform for training and inferenceOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegeospock.comwww.ibm.com/­products/­netezzaopenmldb.aisphinxsearch.com
Technical documentationopenmldb.ai/­docs/­zh/­mainsphinxsearch.com/­docs
DeveloperGeoSpockIBM4 Paradigm Inc.Sphinx Technologies Inc.
Initial release200020202001
Current release2.0, September 20192024-2 February 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++, Java, ScalaC++
Server operating systemshostedLinux infoincluded in applianceLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesFixed schemayes
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 indexestemporal, categoricalyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesyesSQL-like query language (SphinxQL)
APIs and other access methodsJDBCJDBC
ODBC
OLE DB
JDBC
SQLAlchemy
Proprietary protocol
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C++
Go
Java
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per tableUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardno

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More resources
GeoSpockNetezza infoAlso called PureData System for Analytics by IBMOpenMLDBSphinx
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