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DBMS > Apache Drill vs. GeoSpock vs. Postgres-XL vs. Sphinx

System Properties Comparison Apache Drill vs. GeoSpock vs. Postgres-XL vs. Sphinx

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonGeoSpock  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSphinx  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageSpatial and temporal data processing engine for extreme data scaleBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitedrill.apache.orggeospock.comwww.postgres-xl.orgsphinxsearch.com
Technical documentationdrill.apache.org/­docswww.postgres-xl.org/­documentationsphinxsearch.com/­docs
DeveloperApache Software FoundationGeoSpockSphinx Technologies Inc.
Initial release20122014 infosince 2012, originally named StormDB2001
Current release1.20.3, January 20232.0, September 201910 R1, October 20183.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoMozilla public licenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptCC++
Server operating systemsLinux
OS X
Windows
hostedLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesnotemporal, categoricalyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantANSI SQL for query only (using Presto)yes infodistributed, parallel query executionSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Supported programming languagesC++.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes 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.Depending on the underlying data sourcenono
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users can be defined per tablefine grained access rights according to SQL-standardno

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More resources
Apache DrillGeoSpockPostgres-XLSphinx
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