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 > Amazon CloudSearch vs. MongoDB vs. NebulaGraph vs. SiriDB vs. Vertica

System Properties Comparison Amazon CloudSearch vs. MongoDB vs. NebulaGraph vs. SiriDB vs. Vertica

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonMongoDB  Xexclude from comparisonNebulaGraph  Xexclude from comparisonSiriDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudOne 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 DBMSOpen Source Time Series DBMSCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelSearch engineDocument storeGraph DBMSTime Series DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial 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
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score423.96
Rank#5  Overall
#1  Document stores
Score2.12
Rank#125  Overall
#10  Graph DBMS
Score0.11
Rank#346  Overall
#32  Time Series DBMS
Score11.40
Rank#43  Overall
#27  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.mongodb.comgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
siridb.comwww.vertica.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.mongodb.com/­docs/­manualdocs.nebula-graph.iodocs.siridb.comvertica.com/­documentation
DeveloperAmazonMongoDB, IncVesoft Inc.CesbitOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20122009201920172005
Current release6.0.7, June 202312.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen 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 1.0Open Source infoMIT Licensecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesno infoMongoDB available as DBaaS (MongoDB Atlas)nonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
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++CC++
Server operating systemshostedLinux
OS X
Solaris
Windows
LinuxLinuxLinux
Data schemeyesschema-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 schemayesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes infoNumeric datayes
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.nonono
Secondary indexesyes infoall search fields are automatically indexedyesyes 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.yesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Atlas SQL InterfaceSQL-like query languagenoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsHTTP APIGraphQL
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
HTTP APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesActionscript 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++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoJavaScriptuser defined functionsnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyes infoin MongoDB Atlas onlynoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.ShardingShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Causal Clustering using Raft protocolyesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2yesyesno
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesRole-based access controlsimple rights management via user accountsfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon CloudSearchMongoDBNebulaGraphSiriDBVertica infoOpenText™ Vertica™
Specific characteristicsMongoDB 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
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesBuilt 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
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Social networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Companies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsHundreds 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 modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
NebulaGraph is open source and free to use under Apache 2.0 license.
» more
Cost-based models and subscription-based models are both available. One license is...
» 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 MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Studio 3T: The world's favorite IDE for working with MongoDB
» more

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

More resources
Amazon CloudSearchMongoDBNebulaGraphSiriDBVertica infoOpenText™ Vertica™
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

show all

Conferences, events and webinars

Intro to MongoDB
Webinar, 11am ET, 1 May 2024

Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Amazon's CloudSearch Stiffens Competition for Search as a Service Providers
26 April 2012, InfoQ.com

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

CloudSearch Update – Price Reduction, Hebrew & Japanese Support, Partitioning, CloudTrail | Amazon Web Services
19 November 2014, AWS Blog

AWS, Microsoft and Google should retire these cloud services
2 June 2020, TechTarget

provided by Google News

This Is What Whales Are Betting On MongoDB - MongoDB (NASDAQ:MDB)
24 April 2024, Benzinga

Vodafone's New Developer Speed and Dexterity—Powered by MongoDB
23 April 2024, WIRED

Why MongoDB (MDB) Stock Is Up Today By Stock Story
23 April 2024, Investing.com

A support level that should be taken advantage of
23 April 2024, Marketscreener.com

MongoDB initiated with Buy rating at Loop Capital (MDB)
23 April 2024, Seeking Alpha

provided by Google News

NebulaGraph Enterprise v5.0: The First Distributed Graph Database to Offer Native GQL Support
18 April 2024, Yahoo Finance

NebulaGraph Enterprise v3.7.0 Empowers Enterprises to Build Knowledge Graphs with a Few Clicks
3 April 2024, PR Newswire

Celebrating 10,000 GitHub Stars for NebulaGraph
26 March 2024, PR Newswire

NebulaGraph reaps from China’s growing appetite for graph databases
16 September 2022, TechCrunch

NebulaGraph Completes Series A to Scale Its Distributed Graph Database
16 September 2022, Datanami

provided by Google News

SiriDB tijdreeks database analyseert time series data vanuit elke bron
22 January 2017, Dutch IT Channel

provided by Google News

OCI Object Storage Completes Technical Validation of Vertica in Eon Mode
16 October 2023, Oracle

Vertica by OpenText and Anritsu Sign New Deal for Next-Gen Architecture and 5G Network Capabilities
17 May 2023, PR Newswire

Stonebraker Seeks to Invert the Computing Paradigm with DBOS
12 March 2024, Datanami

OpenText expands enterprise portfolio with AI and Micro Focus integrations
25 July 2023, VentureBeat

OpenText integrates Micro Focus tech through Cloud Editions 23.3
26 July 2023, Techzine Europe

provided by Google News



Share this page

Featured Products

Neo4j logo

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

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

AllegroGraph logo

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

Milvus logo

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

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Present your product here