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DBMS > etcd vs. Firebase Realtime Database vs. Kinetica vs. RisingWave vs. SAP SQL Anywhere

System Properties Comparison etcd vs. Firebase Realtime Database vs. Kinetica vs. RisingWave vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonKinetica  Xexclude from comparisonRisingWave  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionA distributed reliable key-value storeCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Fully vectorized database across both GPUs and CPUsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score13.64
Rank#39  Overall
#6  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­realtime-databasewww.kinetica.comwww.risingwave.com/­databasewww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­databasedocs.kinetica.comdocs.risingwave.com/­docs/­current/­introhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperGoogle infoacquired by Google 2014KineticaRisingWave LabsSAP infoformerly Sybase
Initial release2012201220221992
Current release3.4, August 20197.1, August 20211.2, September 202317, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++Rust
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinuxDocker
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesStandard SQL-types and JSONyes
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.nonononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyesyes
APIs and other access methodsgRPC
JSON over HTTP
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
PostgreSQL wire protocol
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Java
JavaScript
Objective-C
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'user defined functionsUDFs in Python or Javayes, in C/C++, Java, .Net or Perl
Triggersyes, watching key changesCallbacks are triggered when data changesyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlnoyes, based on authentication and database rulesAccess rights for users and roles on table levelUsers and Rolesfine grained access rights according to SQL-standard

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More resources
etcdFirebase Realtime DatabaseKineticaRisingWaveSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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