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DBMS > Alibaba Cloud ApsaraDB for PolarDB vs. Apache IoTDB vs. Brytlyt vs. etcd vs. Google Cloud Firestore

System Properties Comparison Alibaba Cloud ApsaraDB for PolarDB vs. Apache IoTDB vs. Brytlyt vs. etcd vs. Google Cloud Firestore

Editorial information provided by DB-Engines
NameAlibaba Cloud ApsaraDB for PolarDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA distributed reliable key-value storeCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#266  Overall
#123  Relational DBMS
Score1.19
Rank#183  Overall
#15  Time Series DBMS
Score0.40
Rank#276  Overall
#126  Relational DBMS
Score7.66
Rank#55  Overall
#6  Key-value stores
Score9.97
Rank#47  Overall
#8  Document stores
Websitewww.alibabacloud.com/­product/­polardbiotdb.apache.orgbrytlyt.ioetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestore
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.brytlyt.ioetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestore
DeveloperAlibabaApache Software FoundationBrytlytGoogle
Initial release201820162017
Current release1.1.0, April 20235.0, August 20233.4, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAGo
Server operating systemshostedAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
FreeBSD
Linux
Windows infoexperimental
hosted
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yesnoyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesSQL-like query languageyesnono
APIs and other access methodsJDBC
ODBC
JDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesJava
Python
C
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresyesyesuser defined functions infoin PL/pgSQLnoyes, Firebase Rules & Cloud Functions
Triggersyesyesyesyes, watching key changesyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and SparknonoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.
More information provided by the system vendor
Alibaba Cloud ApsaraDB for PolarDBApache IoTDBBrytlytetcdGoogle Cloud Firestore
Specific characteristicsApsaraDB for PolarDB is a cloud-native relational database 100% compatible with MySQL...
» more
Competitive advantagesWebinar: Top Scientists Live: Tech Secrets to Double 11's Success Revealed. White...
» more
Typical application scenariosCreating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
» more
Licensing and pricing modelsSpecification and pricing. You can use either of the following billing methods to...
» more

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More resources
Alibaba Cloud ApsaraDB for PolarDBApache IoTDBBrytlytetcdGoogle Cloud Firestore
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