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DBMS > Aerospike vs. CrateDB vs. Google Cloud Firestore vs. RavenDB vs. Tarantool

Vergleich der Systemeigenschaften Aerospike vs. CrateDB vs. Google Cloud Firestore vs. RavenDB vs. Tarantool

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAerospike infoFrüher Citrusleaf genannt  Xaus Vergleich ausschliessenCrateDB  Xaus Vergleich ausschliessenGoogle Cloud Firestore  Xaus Vergleich ausschliessenRavenDB  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessen
KurzbeschreibungFlash-optimized In-memory NoSQL DatabaseVerteilter Data Store basierend auf LuceneCloud 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.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primäres DatenbankmodellDocument Store
Graph DBMS infoleveraging Apache Tinkerpop
Key-Value Store
Spatial DBMS
Vektor DBMS
Document Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Vektor DBMS
Document StoreDocument StoreDocument Store
Key-Value Store
Relational DBMS
Sekundäre DatenbankmodelleRelational DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,51
Rang#60  Overall
#10  Document Stores
#3  Graph DBMS
#6  Key-Value Stores
#2  Spatial DBMS
#2  Vektor DBMS
Punkte0,71
Rang#227  Overall
#37  Document Stores
#5  Spatial DBMS
#16  Suchmaschinen
#19  Time Series DBMS
#9  Vektor DBMS
Punkte7,36
Rang#53  Overall
#9  Document Stores
Punkte2,84
Rang#101  Overall
#18  Document Stores
Punkte1,67
Rang#143  Overall
#25  Document Stores
#25  Key-Value Stores
#65  Relational DBMS
Websiteaerospike.comcratedb.comfirebase.google.com/­products/­firestoreravendb.netwww.tarantool.io
Technische Dokumentationdocs.aerospike.comcratedb.com/­docsfirebase.google.com/­docs/­firestoreravendb.net/­docswww.tarantool.io/­en/­doc
Social network pagesLinkedInTwitterYouTubeFacebook
EntwicklerAerospikeCrateGoogleHibernating RhinosVK
Erscheinungsjahr20122013201720102008
Aktuelle Version7.1, Mai 20245.4, Juli 20222.10.0, Mai 2022
Lizenz infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availableOpen SourcekommerziellOpen Source infoAGPL Version 3, kommerzielle Lizenz verfügbarOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
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.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
ImplementierungsspracheCJavaC#C und C++
Server BetriebssystemeLinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportgehostetLinux
macOS
Raspberry Pi
Windows
BSD
Linux
macOS
DatenschemaschemafreiFlexible Schema (defined schema, partial schema, schema free)schemafreischemafreiFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaneinstring, double, decimal, uuid, integer, blob, boolean, datetime
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
Sekundärindizesjajajajaja
SQL infoSupport of SQLneinyes, but no triggers and constraints, and PostgreSQL compatibilityneinSQL-like query language (RQL)Full-featured ANSI SQL support
APIs und andere ZugriffskonzepteJDBC
Proprietäres Protokoll
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Open binary protocol
Unterstützte Programmiersprachen.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen infowith Luabenutzerdefinierte Funktionenyes, Firebase Rules & Cloud FunctionsjaLua, C and SQL stored procedures
Triggersneinneinyes, with Cloud Functionsjaja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingShardingShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer ReplikationsfaktorConfigurable replication on table/partition-levelMulti-Source ReplikationMulti-Source ReplikationAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoBietet ein API für Map/Reduce Operationenja infoAerospike Aggregation Framework is similar to Map/ReduceneinUsing Cloud Dataflowja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinyes
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic execution of operationsnein infounique row identifiers can be used for implementing an optimistic concurrency control strategyjaACID, Cluster-wide transaction availableACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajayes, write ahead logging
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinyes, full featured in-memory storage engine with persistence
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer und Rollen infonur mit Enterprise EditionRechteverwaltung mit BenutzeraccountsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Authorization levels configured per client per databaseAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Weitere Informationen bereitgestellt vom Systemhersteller
Aerospike infoFrüher Citrusleaf genanntCrateDBGoogle Cloud FirestoreRavenDBTarantool
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» mehr
The enterprise database for time series, documents, and vectors. Distributed - Native...
» mehr
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» mehr
Response time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» mehr
Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» mehr
​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» mehr
Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» mehr
Across all continents, CrateDB is used by companies of all sizes to meet the most...
» mehr
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» mehr
The CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» mehr
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» mehr
See CrateDB pricing >
» mehr
Neuigkeiten

Aerospike, AWS, Google, Glean, and other Industry Leaders Speaking at Real-time Data Summit 2024
5. Juni 2024

Aerospike a Winner in 2024 Business Sustainability Awards
22. Mai 2024

New Aerospike Release Lets Enterprises Consolidate Expensive Legacy Cache And Database Platforms
15. Mai 2024

Aerospike Recognized by Independent Research Firm Among Notable Vendors in Vector Databases Report
7. Mai 2024

Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners
4. April 2024

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Weitere Ressourcen
Aerospike infoFrüher Citrusleaf genanntCrateDBGoogle Cloud FirestoreRavenDBTarantool
DB-Engines Blog Posts

Evaluating Hbase and Aerospike Solutions for Real-time System of Record
17. März 2020,  Srini Srinivasan, Aerospike (sponsor) 

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Cloud-based DBMS's popularity grows at high rates
12. Dezember 2019, Paul Andlinger

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Data processing speed and reliability: in-memory synchronous replication
9. November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

alle anzeigen

Erwähnungen in aktuellen Nachrichten

The real-time data imperative: Examining demands in the gen AI era
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