DB-EnginesExtremeDB Active Replication featuresEnglish
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
Score19.46
Rank#34  Overall
#21  Relational DBMS
Score6.91
Rank#56  Overall
#6  Search engines
Score0.71
Rank#201  Overall
#101  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 release3.1.1, March 20213.3.1 , July 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

Feature Stores Need an HTAP Database
4 March 2021

What Is a Feature Store?
26 February 2021

Why We Started a Podcast
25 February 2021

Machine Learning Isn’t Models, It’s Features
12 February 2021

Go Hands-On with Splice Machine’s Feature Store
12 February 2021

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

Get 20 Percent Off Top-Rated Edureka Data Analytics Courses This Month
2 March 2021, Solutions Review

Prophecy Spins Up Low-Code Data Pipeline Tool
24 February 2021, Datanami

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

Microsoft brings .NET dev to Apache Spark
29 October 2020, InfoWorld

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

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

eCommerce Search & Personalization
6 May 2018, SitePoint

[Product Roadmap] How Matrimony.com has become the go-to platform for Indian matchmaking
27 January 2021, YourStory

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

provided by Google News

How Optimizing MLOps can Revolutionize Enterprise AI
6 March 2021, InfoQ.com

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning
19 January 2021, PRNewswire

How Splice Machine's Data Platform for Intelligent Apps Works | eWEEK
29 September 2020, eWeek

Splice Machine Announces Splice Machine Kubernetes Ops Center
28 July 2020, Container Journal

Splice Machine Announces Livewire, the Operational AI Platform Designed for Industrial Use Cases
4 November 2020, PRNewswire

provided by Google News

Job opportunities

bigdata with vertica
IT Strategies Inc, Remote

Data Engineer (Python, Spark, SQL)
Capgemini, Atlanta, GA

Data Analyst - Technology Products Insights
Workday, Boulder, CO

Data Science Intern
Root Insurance Company, Remote

Data Science
Nauto, Palo Alto, CA

Senior Web and Mobile Architect
Associated Press, New York, NY

Sr. Software Engineer - Technical Documentation Tools
Twitter, San Francisco, CA

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

jobs by Indeed




Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

AllegroGraph logo

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

Neo4j logo

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

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

Couchbase logo

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

Present your product here