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DBMS > Badger vs. Bangdb vs. Google Cloud Firestore vs. Redis vs. ScyllaDB

Vergleich der Systemeigenschaften Badger vs. Bangdb vs. Google Cloud Firestore vs. Redis vs. ScyllaDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameBadger  Xaus Vergleich ausschliessenBangdb  Xaus Vergleich ausschliessenGoogle Cloud Firestore  Xaus Vergleich ausschliessenRedis  Xaus Vergleich ausschliessenScyllaDB  Xaus Vergleich ausschliessen
KurzbeschreibungAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Converged and high performance database for device data, events, time series, document and graphCloud 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.Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis legt höchsten Wert auf Performanz. Bei Designentscheidungen wird typischerweise Performanz der Vorzug vor Features oder Speicherbedarf gegeben.Cassandra and DynamoDB compatible wide column store
Primäres DatenbankmodellKey-Value StoreDocument Store
Graph DBMS
Time Series DBMS
Document StoreKey-Value Store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceWide Column Store
Sekundäre DatenbankmodelleSpatial DBMSDocument Store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Suchmaschine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vektor DBMS
Key-Value Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,18
Rang#314  Overall
#45  Key-Value Stores
Punkte0,07
Rang#347  Overall
#48  Document Stores
#36  Graph DBMS
#31  Time Series DBMS
Punkte6,53
Rang#54  Overall
#9  Document Stores
Punkte148,64
Rang#6  Overall
#1  Key-Value Stores
Punkte3,88
Rang#72  Overall
#5  Wide Column Stores
Websitegithub.com/­dgraph-io/­badgerbangdb.comfirebase.google.com/­products/­firestoreredis.com
redis.io
www.scylladb.com
Technische Dokumentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bangdb.comfirebase.google.com/­docs/­firestoredocs.redis.com/­latest/­index.html
redis.io/­docs
docs.scylladb.com
EntwicklerDGraph LabsSachin Sinha, BangDBGoogleRedis project core team, inspired by Salvatore Sanfilippo infoEntwicklung von Redis Inc finanziertScyllaDB
Erscheinungsjahr20172012201720092015
Aktuelle VersionBangDB 2.0, October 20217.2.5, Mai 2024ScyllaDB Open Source 6.0.2, Juli 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD 3kommerziellOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoOpen Source (AGPL), commercial license available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
ImplementierungsspracheGoC, C++CC++
Server BetriebssystemeBSD
Linux
OS X
Solaris
Windows
LinuxgehostetBSD
Linux
OS X
Windows infoportiert und gewartet durch Microsoft Open Technologies, Inc.
Linux
Datenschemaschemafreischemafreischemafreischemafreischemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinyes: string, long, double, int, geospatial, stream, eventsjateilweise infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinneinnein
Sekundärindizesneinja infosecondary, composite, nested, reverse, geospatialjaja infowith RediSearch moduleja infocluster global secondary indices
SQL infoSupport of SQLneinSQL like support with command line toolneinwith RediSQL moduleSQL-like DML and DDL statements (CQL)
APIs und andere ZugriffskonzeptePropriätäres Protokoll
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietäres Protokoll infoRESP - REdis Serialization ProtocolProprietäres Protokoll infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Unterstützte ProgrammiersprachenGoC
C#
C++
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-seitige Scripts infoStored Proceduresneinneinyes, Firebase Rules & Cloud FunctionsLua; Redis Functions coming in Redis 7 (slides and Github)yes, Lua
Triggersneinyes, Notifications (with Streaming only)yes, with Cloud Functionspublish/subscribe channels provide some trigger functionality; RedisGearsnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeineselectable replication factor, Knob for CAP (enterprise version only)Multi-Source ReplikationMulti-Source Replikation infowith Redis Enterprise Pack
Source-Replica Replikation infoChained replication wird unterstützt
frei wählbarer Replikationsfaktor infoRepresentation of geographical distribution of servers is possible
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinUsing Cloud Dataflowthrough RedisGearsnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDjaAtomic execution of command blocks and scripts and optimistic lockingnein infoAtomicity and isolation are supported for single operations
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjayes, optimistic concurrency controljaja infoDatenzugriffe werden vom Server serialisiertja
Durability infoDauerhafte Speicherung der Datenjayes, implements WAL (Write ahead log) as welljaja infokonfigurierbare Persistenzmechanismen via snapshots oder logsja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinyes, run db with in-memory only modejaja infoin-memory tables
Berechtigungskonzept infoZugriffskontrolleneinyes (enterprise version only)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication
Access rights for users can be defined per object
Weitere Informationen bereitgestellt vom Systemhersteller
BadgerBangdbGoogle Cloud FirestoreRedisScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» mehr
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» mehr
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» mehr
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» mehr
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» mehr
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» mehr

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Weitere Ressourcen
BadgerBangdbGoogle Cloud FirestoreRedisScyllaDB
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