DB-EnginesExtremeDB: the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > BaseX vs. Elasticsearch vs. Spark SQL

System Properties Comparison BaseX vs. Elasticsearch vs. Spark SQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonElasticsearch  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelNative XML DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#137  Overall
#4  Native XML DBMS
Score139.07
Rank#8  Overall
#1  Search engines
Score20.15
Rank#36  Overall
#22  Relational DBMS
Websitebasex.orgwww.elastic.co/­elasticsearchspark.apache.org/­sql
Technical documentationdocs.basex.orgwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBaseX GmbHElasticApache Software Foundation
Initial release200720102014
Current release10.4, December 20228.6, January 20233.3.0 ( 2.13), June 2022
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoElastic LicenseOpen Source infoApache 2.0
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 languageJavaJavaScala
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyes
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 indexesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesyesno
Triggersyes infovia eventsyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writernono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationno
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsno

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
BaseXElasticsearchSpark SQL
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Recent citations in the news

XML Injection Attacks: What to Know About XPath, XQuery, XXE ...
18 May 2022, Hashed Out by The SSL Store™

BaseX: Free, open source XML wrangling
3 March 2015, Network World

9 Skills You Need to Become a Data Engineer
2 November 2022, KDnuggets

Retrosheet: Play-By-Play Data At Your Fingertips!
17 March 2022, Pitcher List

> U.S
28 March 2022, Department of Defense

provided by Google News

Bank of New York Mellon Corp Decreases Holdings in Elastic ...
24 March 2023, MarketBeat

Elastic Reports Third Quarter Fiscal 2023 Financial Results
2 March 2023, businesswire.com

Breach Roundup: Ferrari, Indian Health Ministry and the NBA
24 March 2023, BankInfoSecurity.com

ETL Tools Market 2023: Understanding the Impact of Consumer ...
24 March 2023, Digital Journal

Aerospike adds connector for Elasticsearch to run full-text queries
17 January 2023, InfoWorld

provided by Google News

An Overview of Spark SQL
30 November 2015, insideBIGDATA

Apache Spark SQL - Market Share, Competitor Insights in Big Data Analytics
19 March 2023, 6Sense

Spark SQL Explained with Examples
19 December 2022, sparkbyexamples.com

Tuning Apache Spark. Ensuring that Apache Spark is tuned for… | by Vishnu Nair | Mar, 2023
25 March 2023, vsnr.medium.com

Troubleshoot Spark SQL queries in Amazon EMR
25 January 2023, AWS Blog

provided by Google News

Job opportunities

Sub-Saharan Africa SME
Two Six Technologies, Arlington, VA

Elasticsearch Developer -remote
Pomeroy, Texas

ElasticSearch/AWS OpenSearch Data Engineer
XGenesis Inc, Remote

Software Engineer - Elasticsearch Specialist
Gigasearch LLC, Remote

Site Reliability/DevOps Consultant
Syrinx, Remote

Java with spark
Synapseb systems, Jersey City, NJ

Machine Learning Scientist
PayPal, Delaware

Data Scientist
Marathon Health, Remote

Machine Learning Engineer
Hive, San Francisco, CA

Machine Learning Scientist
PayPal, Chicago, IL

jobs by Indeed



Share this page

Featured Products

AllegroGraph logo

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

Redis logo

The world’s most loved real‑time data platform.
Try free

Cassandra Forward online event

Want to level up your Cassandra game?
If you missed the event or would like to re-watch a session, replays are available now. Watch now!

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here