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DBMS > Alibaba Cloud MaxCompute vs. Brytlyt vs. Firebase Realtime Database vs. GeoMesa vs. Lovefield

System Properties Comparison Alibaba Cloud MaxCompute vs. Brytlyt vs. Firebase Realtime Database vs. GeoMesa vs. Lovefield

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonBrytlyt  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGeoMesa  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Embeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSDocument storeSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputebrytlyt.iofirebase.google.com/­products/­realtime-databasewww.geomesa.orggoogle.github.io/­lovefield
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.brytlyt.iofirebase.google.com/­docs/­databasewww.geomesa.org/­documentation/­stable/­user/­index.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperAlibabaBrytlytGoogle infoacquired by Google 2014CCRi and othersGoogle
Initial release20162016201220142014
Current release5.0, August 20234.0.5, February 20242.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAScalaJavaScript
Server operating systemshostedLinux
OS X
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesyesschema-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.noyes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnonoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsFluentd
Flume
MaxCompute Console
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesJava.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java
JavaScript
Objective-C
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functions infoin PL/pgSQLlimited functionality with using 'rules'nono
TriggersnoyesCallbacks are triggered when data changesnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicedepending on storage layernone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
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
depending on storage layer
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layeryes infousing MemoryDB
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardyes, based on authentication and database rulesyes infodepending on the DBMS used for storageno

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More resources
Alibaba Cloud MaxComputeBrytlytFirebase Realtime DatabaseGeoMesaLovefield
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