DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Elasticsearch vs. LevelDB vs. MariaDB vs. Postgres-XL vs. searchxml

System Properties Comparison Elasticsearch vs. LevelDB vs. MariaDB vs. Postgres-XL vs. searchxml

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonLevelDB  Xexclude from comparisonMariaDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionA 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 metricEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDBMS for structured and unstructured content wrapped with an application server
Primary database modelSearch engineKey-value storeRelational DBMSRelational DBMSNative XML DBMS
Search engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score2.35
Rank#111  Overall
#19  Key-value stores
Score93.21
Rank#13  Overall
#9  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitewww.elastic.co/­elasticsearchgithub.com/­google/­leveldbmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
www.postgres-xl.orgwww.searchxml.net/­category/­products
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmariadb.com/­kb/­en/­librarywww.postgres-xl.org/­documentationwww.searchxml.net/­support/­handouts
DeveloperElasticGoogleMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
informationpartners gmbh
Initial release201020112009 infoFork of MySQL, which was first released in 19952014 infosince 2012, originally named StormDB2015
Current release8.6, January 20231.23, February 202111.3.2, February 202410 R1, October 20181.0
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoBSDOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++CC++
Server operating systemsAll OS with a Java VMIllumos
Linux
OS X
Windows
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
macOS
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes infoDynamic columns are supportedyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyesyes infoXML type, but no XML query functionalityyes
Secondary indexesyes infoAll search fields are automatically indexednoyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infowith proprietary extensionsyes infodistributed, parallel query executionno
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyesnoyes infoPL/SQL compatibility added with version 10.3user defined functionsyes infoon the application server
Triggersyes infoby using the 'percolation' featurenoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneseveral options for horizontal partitioning and Shardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
yes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornononono
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, allImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infonot for MyISAM storage engineACID infoMVCCmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infonot for in-memory storage engineyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes infowith MEMORY storage enginenono
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
ElasticsearchLevelDBMariaDBPostgres-XLsearchxml
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more

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
3rd partiesNavicat for MariaDB provides a native environment for MariaDB database management and development.
» more

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

More resources
ElasticsearchLevelDBMariaDBPostgres-XLsearchxml
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

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

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

Big gains for Relational Database Management Systems in DB-Engines Ranking
2 February 2016, Matthias Gelbmann

show all

Recent citations in the news

Netflix Uses Elasticsearch Percolate Queries to Implement Reverse Searches Efficiently
29 April 2024, InfoQ.com

Using Elasticsearch to Offload Search and Analytics from DynamoDB: Pros and Cons
10 May 2024, hackernoon.com

The Total Economic Impact™️ of Elasticsearch
8 May 2024, BankInfoSecurity.com

8 Powerful Alternatives to Elasticsearch
25 April 2024, Yahoo Finance

Splunk vs Elasticsearch | A Comparison and How to Choose
12 January 2024, SentinelOne

provided by Google News

LevelDB in Ruby — SitePoint
22 October 2014, SitePoint

Microsoft Teams stores auth tokens as cleartext in Windows, Linux, Macs
14 September 2022, BleepingComputer

Pliops unveils XDP-Rocks for RocksDB – Blocks and Files
19 October 2022, Blocks & Files

XanMod, Liquorix Kernels Offer Some Advantages On AMD Ryzen 5 Notebook
26 July 2021, Phoronix

Rust-Based Info Stealers Abuse GitHub Codespaces
19 May 2023, Trend Micro

provided by Google News

RECOMMENDED CASH OFFER for MARIADB plc by MERIDIAN BIDCO LLC which is an Affiliate of K1 INVESTMENT ...
24 April 2024, PR Newswire

Progress outbids private equity in offer for MariaDB plc
28 March 2024, The Register

Progress Software Confirms Bid to Acquire MariaDB
26 March 2024, The Wall Street Journal

Can MariaDB’s enterprise business be saved?
21 February 2024, InfoWorld

Struggling database company MariaDB could be taken private in $37M deal
19 February 2024, TechCrunch

provided by Google News



Share this page

Featured Products

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

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

Present your product here