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DBMS > Amazon DocumentDB vs. Databend vs. Firebase Realtime Database vs. Lovefield vs. Microsoft Azure Synapse Analytics

System Properties Comparison Amazon DocumentDB vs. Databend vs. Firebase Realtime Database vs. Lovefield vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatabend  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Embeddable relational database for web apps written in pure JavaScriptElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument storeRelational DBMSDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­datafuselabs/­databend
www.databend.com
firebase.google.com/­products/­realtime-databasegoogle.github.io/­lovefieldazure.microsoft.com/­services/­synapse-analytics
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.databend.comfirebase.google.com/­docs/­databasegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­azure/­synapse-analytics
DeveloperDatabend LabsGoogle infoacquired by Google 2014GoogleMicrosoft
Initial release20192021201220142016
Current release1.0.59, April 20232.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJavaScriptC++
Server operating systemshostedhosted
Linux
macOS
hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihosted
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnoyesnoSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)CLI Client
JDBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
JavaScript (Node.js)
Python
Rust
Java
JavaScript
Objective-C
JavaScriptC#
Java
PHP
Server-side scripts infoStored proceduresnonolimited functionality with using 'rules'noTransact SQL
TriggersnonoCallbacks are triggered when data changesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDB
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept, user rolesyes, based on authentication and database rulesnoyes

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More resources
Amazon DocumentDBDatabendFirebase Realtime DatabaseLovefieldMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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