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 > AlaSQL vs. Microsoft Azure AI Search vs. MongoDB vs. OrigoDB vs. SingleStore

System Properties Comparison AlaSQL vs. Microsoft Azure AI Search vs. MongoDB vs. OrigoDB vs. SingleStore

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMongoDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionJavaScript DBMS librarySearch-as-a-service for web and mobile app developmentOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA fully ACID in-memory object graph databaseMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument store
Relational DBMS
Search engineDocument storeDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsVector DBMSSpatial 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
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score421.65
Rank#5  Overall
#1  Document stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitealasql.orgazure.microsoft.com/­en-us/­services/­searchwww.mongodb.comorigodb.comwww.singlestore.com
Technical documentationgithub.com/­AlaSQL/­alasqllearn.microsoft.com/­en-us/­azure/­searchwww.mongodb.com/­docs/­manualorigodb.com/­docsdocs.singlestore.com
DeveloperAndrey Gershun & Mathias R. WulffMicrosoftMongoDB, IncRobert Friberg et alSingleStore Inc.
Initial release2014201520092009 infounder the name LiveDB2013
Current releaseV16.0.7, June 20238.5, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Sourcecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesno 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 Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
  • 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.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaScriptC++C#C++, Go
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Solaris
Windows
Linux
Windows
Linux info64 bit version required
Data schemeschema-freeyesschema-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.yesyes
Typing infopredefined data types such as float or datenoyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noRead-only SQL queries via the MongoDB Atlas SQL Interfacenoyes infobut no triggers and foreign keys
APIs and other access methodsJavaScript APIRESTful HTTP APIGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
.NET Client API
HTTP API
LINQ
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesJavaScriptC#
Java
JavaScript
Python
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
.NetBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoJavaScriptyesyes
Triggersyesnoyes infoin MongoDB Atlas onlyyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.horizontal partitioning infoclient side managed; servers are not synchronizedSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency
Foreign keys infoReferential integrityyesnono infotypically not used, however similar functionality with DBRef possibledepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes infooptional, enabled by defaultyes infoWrite ahead logyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-memory storage engine introduced with MongoDB version 3.2yesyes
User concepts infoAccess controlnoyes infousing Azure authenticationAccess rights for users and rolesRole based authorizationFine grained access control via users, groups and roles
More information provided by the system vendor
AlaSQLMicrosoft Azure AI SearchMongoDBOrigoDBSingleStore infoformer name was MemSQL
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Customers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
F ree Tier and Enterprise Edition
» 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 partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» 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
AlaSQLMicrosoft Azure AI SearchMongoDBOrigoDBSingleStore infoformer name was MemSQL
DB-Engines blog posts

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

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

show all

Recent citations in the news

Create a Marvel Database with SQL and Javascript, the easy way
2 July 2019, Towards Data Science

Multi faceted data exploration in the browser using Leaflet and amCharts
3 May 2020, Towards Data Science

provided by Google News

Microsoft beefs up Azure's arsenal of generative AI development tools
21 May 2024, SiliconANGLE News

Microsoft Azure AI gains new LLMs, governance features
21 May 2024, InfoWorld

Azure AI Studio Now Generally Available, Sporting New Models Both Big and Small
21 May 2024, Visual Studio Magazine

Microsoft Azure gets 'Models as a Service,' enhanced RAG offerings for enterprise generative AI
21 May 2024, ZDNet

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, Microsoft

provided by Google News

Principal Securities Inc. Takes Position in MongoDB, Inc. (NASDAQ:MDB)
21 May 2024, Defense World

Build RAG applications with MongoDB Atlas, now available in Knowledge Bases for Amazon Bedrock | Amazon Web ...
2 May 2024, AWS Blog

A Closer Look at 27 Analyst Recommendations For MongoDB
17 May 2024, Markets Insider

MongoDB CEO Dev Ittycheria talks AI hype and the database evolution as he crosses 10-year mark
28 April 2024, TechCrunch

MongoDB CEO Ittycheria: AI Has Reached 'A Crucible Moment' In Its Development.
9 May 2024, CRN

provided by Google News

SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

SingleStore Announces Real-time Data Platform to Further Accelerate AI, Analytics and Application Development
24 January 2024, Business Wire

Building a Modern Database: Nikita Shamgunov on Postgres and Beyond
17 April 2024, Madrona Venture Group

SingleStore adds indexed vector search to Pro Max release for faster AI work – Blocks and Files
29 January 2024, Blocks & Files

Announcing watsonx.ai and SingleStore for generative AI applications
15 November 2023, ibm.com

provided by Google News



Share this page

Featured Products

Milvus logo

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

SingleStore logo

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

RaimaDB logo

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

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

Present your product here