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DBMS > Badger vs. Firebase Realtime Database vs. GigaSpaces vs. SwayDB vs. Teradata

System Properties Comparison Badger vs. Firebase Realtime Database vs. GigaSpaces vs. SwayDB vs. Teradata

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonSwayDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Key-value storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score13.64
Rank#39  Overall
#6  Document stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerfirebase.google.com/­products/­realtime-databasewww.gigaspaces.comswaydb.simer.auwww.teradata.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.htmldocs.teradata.com
DeveloperDGraph LabsGoogle infoacquired by Google 2014Gigaspaces TechnologiesSimer PlahaTeradata
Initial release20172012200020181984
Current release15.5, September 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Solaris
Windows
hosted
Linux
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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 infoXML can be used for describing objects metadatanoyes
Secondary indexesnoyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonoSQL-99 for query and DML statementsnoyes infoSQL 2016 + extensions
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGoJava
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
Java
Kotlin
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yesnoyes infoUDFs, stored procedures, table functions in parallel
TriggersnoCallbacks are triggered when data changesyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDAtomic execution of operationsACID
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.noyesyesyes
User concepts infoAccess controlnoyes, based on authentication and database rulesRole-based access controlnofine grained access rights according to SQL-standard

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More resources
BadgerFirebase Realtime DatabaseGigaSpacesSwayDBTeradata
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