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DBMS > BaseX vs. Databend vs. Elasticsearch vs. Memgraph vs. Spark SQL

System Properties Comparison BaseX vs. Databend vs. Elasticsearch vs. Memgraph vs. Spark SQL

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonDatabend  Xexclude from comparisonElasticsearch  Xexclude from comparisonMemgraph  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA 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 metricAn open source graph database built for real-time streaming and compatible with Neo4jSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelNative XML DBMSRelational DBMSSearch engineGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitebasex.orggithub.com/­datafuselabs/­databend
www.databend.com
www.elastic.co/­elasticsearchmemgraph.comspark.apache.org/­sql
Technical documentationdocs.basex.orgdocs.databend.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlmemgraph.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperBaseX GmbHDatabend LabsElasticMemgraph LtdApache Software Foundation
Initial release20072021201020172014
Current release10.7, August 20231.0.59, April 20238.6, January 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache Version 2.0Open Source infoElastic LicenseOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoApache 2.0
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 languageJavaRustJavaC and C++Scala
Server operating systemsLinux
OS X
Windows
hosted
Linux
macOS
All OS with a Java VMLinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyesyes
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.nononono
Secondary indexesyesnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoyesSQL-like query languagenoSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
CLI Client
JDBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
JDBC
ODBC
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnoyesno
Triggersyes infovia eventsnoyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infodynamic graph partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesMulti-source replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynononoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writeryesnoACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesno
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsUsers with fine-grained authorization concept, user rolesUsers, roles and permissionsno
More information provided by the system vendor
BaseXDatabendElasticsearchMemgraphSpark SQL
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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BaseXDatabendElasticsearchMemgraphSpark SQL
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