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DBMS > GeoSpock vs. Hive vs. Pinecone vs. Sphinx

System Properties Comparison GeoSpock vs. Hive vs. Pinecone vs. Sphinx

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonPinecone  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 software for querying and managing large distributed datasets, built on HadoopA managed, cloud-native vector databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSVector DBMSSearch engine
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegeospock.comhive.apache.orgwww.pinecone.iosphinxsearch.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.pinecone.io/­docs/­overviewsphinxsearch.com/­docs
DeveloperGeoSpockApache Software Foundation infoinitially developed by FacebookPinecone Systems, IncSphinx Technologies Inc.
Initial release201220192001
Current release2.0, September 20193.1.3, April 20223.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaC++
Server operating systemshostedAll OS with a Java VMhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanno
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, categoricalyesyes infofull-text index on all search fields
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like DML and DDL statementsnoSQL-like query language (SphinxQL)
APIs and other access methodsJDBCJDBC
ODBC
Thrift
RESTful HTTP APIProprietary protocol
Supported programming languagesC++
Java
PHP
Python
PythonC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.nono
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users, groups and rolesno

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More resources
GeoSpockHivePineconeSphinx
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