DB-EngineseXtremeDB database reliabilityEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Spark SQL vs. Sphinx vs. Splice Machine

System Properties Comparison Spark SQL vs. Sphinx vs. Splice Machine

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  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 databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.47
Rank#33  Overall
#20  Relational DBMS
Score6.34
Rank#60  Overall
#7  Search engines
Score0.79
Rank#190  Overall
#93  Relational DBMS
Websitespark.apache.org/­sqlsphinxsearch.comsplicemachine.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docsdoc.splicemachine.com
DeveloperApache Software FoundationSphinx Technologies Inc.Splice Machine
Initial release201420012014
Current release3.0.1, October 20203.2.1, January 20202.0
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++Java
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesnoyes
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 fieldsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Spark SQLSphinxSplice Machine
Specific characteristicsTHE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more
Competitive advantagesOperational Workloads: Full ACID support with high performance at scale Multi-row...
» more
Typical application scenariosNew AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more
Licensing and pricing modelsKubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more
News

How To Get Real-Time Analytics By Consolidating Databases
21 May 2020

How to Cut Costs and Digitally Transform
1 May 2020

How To Migrate A Legacy SQL Application To The Cloud With AI
10 March 2020

Building Production-Ready Machine Learning Models
4 March 2020

Considerations of Moving Applications Off the Mainframe
22 January 2020

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 SQLSphinxSplice Machine
DB-Engines blog posts

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

show all

Recent citations in the news

The 16 Best Apache Spark Books on Our Reading List
1 October 2020, Solutions Review

5 Key Attributes To Help Data Scientists Find The Right Company
6 October 2020, Analytics India Magazine

Jio, IBM, Microsoft, and other companies hiring data scientists right now
14 October 2020, Business Insider India

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

The 11 Best Hadoop Books Based on Real User Reviews
2 October 2020, Solutions Review

provided by Google News

How to Build 600+ Links in One Month
4 September 2020, Search Engine Journal

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

LegalTech: Cyril Amarchand Mangaldas launches the second cohort of Prarambh
10 October 2020, TechGraph

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

provided by Google News

Splice Machine Announces the Launch of 'ML Minutes' - a Short-Form Podcast That Highlights Advances in Machine Learning
15 October 2020, PRNewswire

Are you a big data laggard? Here's how to catch up
16 October 2020, TechRepublic

Splice Machine Announces 3.0 Version of its Intelligent, Distributed SQL Data Platform, Available in Q1 2020
15 January 2020, PRNewswire

Splice Machine Leans on Kubernetes to Manage DBs
3 August 2020, Container Journal

Splice Machine Data Platform 3.0 Supports Kubernetes Managed Service and New ML Manager
2 March 2020, InfoQ.com

provided by Google News

Job opportunities

Citi is Hiring! Virtual Career Fair - Technology Opportunities!
Citi, Tampa, FL

Sr SQL Developer
Perficient, Inc, Livonia, MI

Hadoop Hive Spark SQL with AWS Developer
RiskSpan, Washington, DC

Postdoctoral Researcher: 2021
IBM, United States

Adjunct Associate Faculty, SQL and Relational Databases (Online, Spring '21)
Columbia University, New York, NY

Senior Web Developer
Exactech, Inc., Gainesville, FL

Hadoop Developer / Admin Jr
Unisoft Technology Inc., Germantown, MD

jobs by Indeed




Share this page

Featured Products

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database Machine Learning. Try Vertica for free with no time limit.

Datastax Astra logo

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

Neo4j logo

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

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.

Present your product here