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DBMS > Badger vs. Fauna vs. Redis vs. Splice Machine vs. Vertica

Vergleich der Systemeigenschaften Badger vs. Fauna vs. Redis vs. Splice Machine vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameBadger  Xaus Vergleich ausschliessenFauna infopreviously named FaunaDB  Xaus Vergleich ausschliessenRedis  Xaus Vergleich ausschliessenSplice Machine  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.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.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellKey-Value StoreDocument Store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-Value Store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceRelational DBMSRelational DBMS infoColumn oriented
Sekundäre DatenbankmodelleDocument Store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Suchmaschine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vektor DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,22
Rang#320  Overall
#47  Key-Value Stores
Punkte1,55
Rang#151  Overall
#26  Document Stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Punkte155,94
Rang#6  Overall
#1  Key-Value Stores
Punkte0,54
Rang#252  Overall
#115  Relational DBMS
Punkte10,06
Rang#42  Overall
#26  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerfauna.comredis.com
redis.io
splicemachine.comwww.vertica.com
Technische Dokumentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.fauna.comdocs.redis.com/­latest/­index.html
redis.io/­docs
splicemachine.com/­how-it-worksvertica.com/­documentation
EntwicklerDGraph LabsFauna, Inc.Redis project core team, inspired by Salvatore Sanfilippo infoEntwicklung von Redis Inc finanziertSplice MachineOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20172014200920142005
Aktuelle Version7.2.5, Mai 20243.1, March 202112.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoAGPL 3.0, commercial license availablekommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
ImplementierungsspracheGoScalaCJavaC++
Server BetriebssystemeBSD
Linux
OS X
Solaris
Windows
gehostetBSD
Linux
OS X
Windows infoportiert und gewartet durch Microsoft Open Technologies, Inc.
Linux
OS X
Solaris
Windows
Linux
DatenschemaschemafreischemafreischemafreijaYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinneinteilweise infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesjayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
Sekundärindizesneinjaja infowith RediSearch modulejaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLneinneinwith RediSQL modulejaFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteRESTful HTTP APIProprietäres Protokoll infoRESP - REdis Serialization ProtocolJDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenGoC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresneinbenutzerdefinierte FunktionenLua; Redis Functions coming in Redis 7 (slides and Github)ja infoJavayes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinneinpublish/subscribe channels provide some trigger functionality; RedisGearsjayes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkeinehorizontale Partitionierung infoconsistent hashingSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenkeineMulti-Source ReplikationMulti-Source Replikation infowith Redis Enterprise Pack
Source-Replica Replikation infoChained replication wird unterstützt
Multi-Source Replikation
Source-Replica Replikation
Multi-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinthrough RedisGearsYes, via Full Spark Integrationno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineImmediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinjaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDAtomic execution of command blocks and scripts and optimistic lockingACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajaja infoDatenzugriffe werden vom Server serialisiertyes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjajaja infokonfigurierbare Persistenzmechanismen via snapshots oder logsjaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinjajanein
Berechtigungskonzept infoZugriffskontrolleneinIdentity management, authentication, and access controlAccess 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, groups and roles according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
BadgerFauna infopreviously named FaunaDBRedisSplice MachineVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Zugehörige Produkte und Dienstleistungen
DrittanbieterCData: Connect to Big Data & NoSQL through standard Drivers.
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Redisson PRO: The ultra-fast Redis Java Client.
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Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
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Navicat for Redis: the award-winning Redis management tool with an intuitive and powerful graphical interface.
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Weitere Ressourcen
BadgerFauna infopreviously named FaunaDBRedisSplice MachineVertica infoOpenText™ Vertica™
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