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DBMS > LevelDB vs. MariaDB vs. MongoDB vs. NebulaGraph vs. Netezza

System Properties Comparison LevelDB vs. MariaDB vs. MongoDB vs. NebulaGraph vs. Netezza

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMariaDB  Xexclude from comparisonMongoDB  Xexclude from comparisonNebulaGraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionEmbeddable 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.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA distributed, linear scalable, high perfomant Graph DBMSData warehouse and analytics appliance part of IBM PureSystems
Primary database modelKey-value storeRelational DBMSDocument storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#107  Overall
#19  Key-value stores
Score93.81
Rank#13  Overall
#9  Relational DBMS
Score423.96
Rank#5  Overall
#1  Document stores
Score2.12
Rank#125  Overall
#10  Graph DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Websitegithub.com/­google/­leveldbmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
www.mongodb.comgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
www.ibm.com/­products/­netezza
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmariadb.com/­kb/­en/­librarywww.mongodb.com/­docs/­manualdocs.nebula-graph.io
DeveloperGoogleMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
MongoDB, IncVesoft Inc.IBM
Initial release20112009 infoFork of MySQL, which was first released in 1995200920192000
Current release1.23, February 202111.3.2, February 20246.0.7, June 2023
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache Version 2.0 + Common Clause 1.0commercial
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageC++C and C++C++C++
Server operating systemsIllumos
Linux
OS X
Windows
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
OS X
Solaris
Windows
LinuxLinux infoincluded in appliance
Data schemeschema-freeyes infoDynamic columns are supportedschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.Strong typed schemayes
Typing infopredefined data types such as float or datenoyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes
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.noyesno
Secondary indexesnoyesyesyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.yes
SQL infoSupport of SQLnoyes infowith proprietary extensionsRead-only SQL queries via the MongoDB Atlas SQL InterfaceSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
JDBC
ODBC
OLE DB
Supported programming languagesC++
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
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
.Net
C++
Go
Java
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoyes infoPL/SQL compatibility added with version 10.3JavaScriptuser defined functionsyes
Triggersnoyesyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesnoneseveral options for horizontal partitioning and ShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Causal Clustering using Raft protocolSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engineMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes infonot for in-memory storage engineyes infooptional, enabled by defaultyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infowith MEMORY storage engineyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and rolesRole-based access controlUsers with fine-grained authorization concept
More information provided by the system vendor
LevelDBMariaDBMongoDBNebulaGraphNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Built around the flexible document data model and unified API, MongoDB is a developer...
» more
NebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Social networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Companies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
At our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
NebulaGraph is open source and free to use under Apache 2.0 license.
» more

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3rd partiesNavicat for MariaDB provides a native environment for MariaDB database management and development.
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Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
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Studio 3T: The world's favorite IDE for working with MongoDB
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More resources
LevelDBMariaDBMongoDBNebulaGraphNetezza infoAlso called PureData System for Analytics by IBM
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