DB-EngineseXtremeDB: embedded, distributed, client/server databaseEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Spark SQL vs. Sphinx

System Properties Comparison Spark SQL vs. Sphinx

Please select another system to include it in the comparison.

Our visitors often compare Spark SQL and Sphinx with Elasticsearch, Solr and MySQL.

Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.40
Rank#34  Overall
#21  Relational DBMS
Score6.54
Rank#55  Overall
#6  Search engines
Websitespark.apache.org/­sqlsphinxsearch.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docs
DeveloperApache Software FoundationSphinx Technologies Inc.
Initial release20142001
Current release3.0.0, June 20203.2.1, January 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesno
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.no
Secondary indexesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Supported programming languagesJava
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes 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.no
User concepts infoAccess controlnono

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Spark SQLSphinx
DB-Engines blog posts

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

Spark 3.0 Brings Big SQL Speed-Up, Better Python Hooks
25 June 2020, Datanami

Spark AI Summit 2020 Highlights: Innovations to Improve Spark 3.0 Performance
3 July 2020, InfoQ.com

Spark 3.0 changes gears with adaptive query execution and GPU help
23 June 2020, DevClass

Spark 3 Improves Python and SQL Support
22 June 2020, iProgrammer

Databricks Cranks Delta Lake Performance, Nabs Redash for SQL Viz
24 June 2020, Datanami

provided by Google News

The Pirate Bay was recently down for over a week due to a DDoS attack
29 October 2019, Internet

Coronavirus-themed spam surged 14,000% in two weeks says IBM
30 March 2020, TechRepublic

Egyptian Pyramids Facts
2 February 2020, Communal News

eCommerce Search & Personalization — SitePoint
6 May 2018, SitePoint

6 Top & Best Open source Search Engine Software for Enterprises
17 June 2019, H2S Media

provided by Google News

Job opportunities

Data Engineers - Hadoop
State Street, Redwood City, CA

FedNow Data Scientist
Federal Reserve Bank of Boston, Boston, MA

Python/Spark/SQL Data Egnineer
Zettalogix, Iselin, NJ

Technical Support Engineer (Remote)
Dataiku, Remote

Data Engineers - Hadoop
State Street, New York, NY

SR WEB DEVELOPER
Exactech, Inc., Gainesville, FL

jobs by Indeed




Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Present your product here