DBMS > ArangoDB vs. Couchbase vs. GraphDB vs. Neo4j vs. ScyllaDB
Vergleich der Systemeigenschaften ArangoDB vs. Couchbase vs. GraphDB vs. Neo4j vs. ScyllaDB
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| Name | ArangoDB Xaus Vergleich ausschliessen | Couchbase  Ursprünglich Membase genannt Xaus Vergleich ausschliessen | GraphDB Ursprünglicher Name: OWLIM Xaus Vergleich ausschliessen | Neo4j Xaus Vergleich ausschliessen | ScyllaDB Xaus Vergleich ausschliessen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Native multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language. | A distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile database | Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL. | Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings | Cassandra and DynamoDB compatible wide column store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primäres Datenbankmodell | Document Store Graph DBMS Key-Value Store Suchmaschine | Document Store | Graph DBMS RDF Store | Graph DBMS | Wide Column Store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Sekundäre Datenbankmodelle | Key-Value Store originating from the former Membase product and supporting the Memcached protocol Spatial DBMS using the Geocouch extensionSuchmaschine Time Series DBMS Vektor DBMS | Key-Value Store | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Website | arangodb.com | www.couchbase.com | www.ontotext.com | neo4j.com | www.scylladb.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technische Dokumentation | docs.arangodb.com | docs.couchbase.com | graphdb.ontotext.com/documentation | neo4j.com/docs | docs.scylladb.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Social network pages |      |   | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Entwickler | ArangoDB Inc. | Couchbase, Inc. | Ontotext | Neo4j, Inc. | ScyllaDB | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Erscheinungsjahr | 2012 | 2011 | 2000 | 2007 | 2015 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Aktuelle Version | 3.11.5, November 2023 | Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 2023 | 10.4, Oktober 2023 | 5.19, April 2024 | ScyllaDB Open Source 5.4.1, Jaenner 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lizenz Commercial or Open Source | Open Source Apache Version 2; Commercial license (Enterprise) available | Open Source Business Source License (BSL 1.1); Commercial licenses also available | kommerziell Some plugins of GraphDB Workbench are open sourced | Open Source GPL Version3, kommerzielle Lizenzen verfügbar bei Bedarf | Open Source Open Source (AGPL), commercial license available | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Ausschließlich ein Cloud-Service Nur als Cloud-Service verfügbar | nein | nein | nein | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DBaaS Angebote (gesponserte Links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour. | Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers. | Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Implementierungssprache | C++ | C, C++, Go and Erlang | Java | Java, Scala | C++ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server Betriebssysteme | Linux OS X Windows | Linux OS X Windows | Alle Betriebssysteme mit einer Java VM Linux OS X Windows | Linux Kann auch Server-los als embedded Java Datenbank verwendet werden. OS X Solaris Windows | Linux | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Datenschema | schemafrei Innerhalb einer Collection wird das Schema automatisch erkannt | schemafrei | schema-free and OWL/RDFS-schema support; RDF shapes | schemafrei und schema-optional | schemafrei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typisierung vordefinierte Datentypen, z.B. float oder date | ja string, double, boolean, list, hash | ja | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| XML Unterstützung Verarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLT | nein | nein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Sekundärindizes | ja | ja | yes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes | ja Austauschbares Index Subsystem, per Default Apache Lucene | ja cluster global secondary indices | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | nein | SQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use cases | stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC | nein | SQL-like DML and DDL statements (CQL) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs und andere Zugriffskonzepte | AQL Foxx Framework Graph API (Gremlin) GraphQL query language HTTP API Java & SpringData JSON style queries VelocyPack/VelocyStream | CLI Client HTTP REST Kafka Connector Native language bindings for CRUD, Query, Search and Analytics APIs Spark Connector Spring Data | GeoSPARQL GraphQL GraphQL Federation Java API JDBC RDF4J API RDFS RIO Sail API Sesame REST HTTP Protocol SPARQL 1.1 | Bolt protocol Cypher query language Java API Neo4j-OGM Object Graph MapperRESTful HTTP API Spring Data Neo4j TinkerPop 3 | Proprietäres Protokoll compatible with CQL (Cassandra Query Language, an SQL-like language) RESTful HTTP API (DynamoDB compatible) Thrift | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Unterstützte Programmiersprachen | C# C++ Clojure Elixir Go Java JavaScript (Node.js) PHP Python R Rust | .Net C Go Java JavaScript Node.jsKotlin PHP Python Ruby Scala | .Net C# Clojure Java JavaScript (Node.js) PHP Python Ruby Scala | .Net Clojure Elixir Go Groovy Haskell Java JavaScript Perl PHP Python Ruby Scala | 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 Stored Procedures | JavaScript | Functions and timers in JavaScript and UDFs in Java, Python, SQL++ | well-defined plugin interfaces; JavaScript server-side extensibility | ja User defined Procedures and Functions | yes, Lua | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | nein | ja über das TAP Protokoll | nein | ja mittels Event Handler | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitionierungsmechanismen Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten | Sharding Ab Version 2.0 | Automatic Sharding | keine | ja, mit Neo4j Fabric | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replikationsmechanismen Methoden zum redundanten Speichern von Daten auf mehreren Knoten | Source-replica replication with configurable replication factor | Multi-Source Replikation inklusive cross data center replication Source-Replica Replikation | Multi-Source Replikation | Causal Clustering using Raft protocol available in in Enterprise Version only | frei wählbarer Replikationsfaktor Representation of geographical distribution of servers is possible | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Bietet ein API für Map/Reduce Operationen | nein Möglich über stored procedures in JavaScript | ja | nein | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Konsistenzkonzept Methoden zur Sicherstellung der Konsistenz in einem verteilten System | Eventual Consistency Einstellbar per collection oder per Write Immediate Consistency OneShard (highly available, fault-tolerant deployment mode with ACID semantics) | Eventual Consistency Immediate Consistency pro Operation auswählbar | Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request) | Causal and Eventual Consistency configurable in Causal Cluster setup Immediate Consistency in stand-alone mode | Eventual Consistency Tunable Consistency can be individually decided for each write operation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Fremdschlüssel referenzielle Integrität | ja relationships in graphs | nein | ja Constraint checking | ja Beziehungen in Graphen | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaktionskonzept Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen | ACID | ACID | ACID | ACID | nein Atomicity and isolation are supported for single operations | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Concurrency Unterstützung von gleichzeitig ausgeführten Datenmanipulationen | ja | ja | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Durability Dauerhafte Speicherung der Daten | ja | ja | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In-Memory Unterstützung Gibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu halten | ja Ephemeral buckets | ja in-memory tables | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Berechtigungskonzept Zugriffskontrolle | ja | User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control. | Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on. | Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos) | Access rights for users can be defined per object | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| ArangoDB | Couchbase Ursprünglich Membase genannt | GraphDB Ursprünglicher Name: OWLIM | Neo4j | ScyllaDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Specific characteristics | Graph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading... » mehr | Ontotext GraphDB is a semantic database engine that allows organizations to build... » mehr | Neo4j delivers graph technology that has been battle tested for performance and scale... » mehr | ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted... » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competitive advantages | Consolidation: As a native multi-model database, can be used as a full blown document... » mehr | GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment... » mehr | Neo4j is the market leader, graph database category creator, and the most widely... » mehr | Highly-performant (efficiently utilizes full resources of a node and network; millions... » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typical application scenarios | Native multi-model in ArangoDB is being used for a broad range of projects across... » mehr | Metadata enrichment and management, linked data publishing, semantic inferencing... » mehr | Real-Time Recommendations Master Data Management Identity and Access Management Network... » mehr | ScyllaDB is ideal for applications that require high throughput and low latency at... » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Key customers | Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,... » mehr | GraphDB provides a platform for building next-generation AI and Knowledge Graph... » mehr | Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers... » mehr | Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,... » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Market metrics | ArangoDB is the leading native multi-model database with over 11,000 stargazers on... » mehr | GraphDB is the most utilized semantic triplestore for mission-critical enterprise... » mehr | Neo4j boasts the world's largest graph database ecosystem with more than 140 million... » mehr | ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput... » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Licensing and pricing models | Very permissive Apache 2 License for Community Edition & commercial licenses are... » mehr | GraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition... » mehr | GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial... » mehr | ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based... » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Neuigkeiten | Understanding the Graph Center of Excellence Migrating From LPG to RDF Graph Model Case study: Policy Enforcement Automation With Semantics Okay, RAG… We Have a Problem Scaling Understanding with the Help of Feedback Loops, Knowledge Graphs and NLP | This Week in Neo4j: Podcast, GraphRAG, GraphQL, Chatbot and more Neo4j Joins the Connect with Confluent Partner Program 10 Inspiring Projects to Spark Your NODES 2024 Presentation New Security Feature in Neo4j Aura: Customer Managed Keys Safeguarding Elections: How Graph Technology Powers Groundbreaking Research on Political Ads | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| ArangoDB | Couchbase Ursprünglich Membase genannt | GraphDB Ursprünglicher Name: OWLIM | Neo4j | ScyllaDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DB-Engines Blog Posts | The Weight of Relational Databases: Time for Multi-Model? | Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month | Applying Graph Analytics to Game of Thrones MySQL, PostgreSQL and Redis are the winners of the March ranking The openCypher Project: Help Shape the SQL for Graphs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Erwähnungen in aktuellen Nachrichten | ArangoGraphML: Simplifying the Power of Graph Machine Learning GQL: A New ISO Standard for Querying Graph Databases ArangoDB Announces Release of ArangoDB 3.11 for Search, Graph and Analytics - High-Performance Computing ... How to Build Knowledge Graph Enhanced Chatbot with ChatGPT and ArangoDB ArangoDB expands scope of graph database platform bereitgestellt von Google News | Database company Couchbase files for U.S. IPO Couchbase Announces New Features to Accelerate AI-Powered Adaptive Applications for Customers Insider Sale: Matthew Cain Sells 10,053 Shares of Couchbase Inc (BASE) Baird Maintains Couchbase (BASE) Outperform Recommendation Couchbase's database gets support for vector search and retrieval-augmented generation bereitgestellt von Google News | Ontotext's GraphDB Solution Now Available on the Microsoft Azure Marketplace Ontotext Unveils GraphDB 10.4 with Enhanced AWS Integration and ChatGPT Connector Ontotext's GraphDB 10 Brings Modern Data Architectures to the Mainstream with Better Resilience and Еаsier Operations Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs and Visual Mapping of Tabular Data to RDF bereitgestellt von Google News | Neo4j Announces Collaboration with Microsoft to Advance GenAI and Data Solutions USA - English - India - English Neo4j CTO says new Graph Query Language standard will have 'massive ripple effects' Neo4j Is Planning IPO on Nasdaq, Largest Owner Greenbridge Says Neo4j Empowers Syracuse University with $250K Grant to Tackle Misinformation in 2024 Elections Leveraging Neo4j and Amazon Bedrock for an Explainable, Secure, and Connected Generative AI Solution | Amazon ... bereitgestellt von Google News | Sleeping at Scale - Delivering 10k Timers per Second per Node with Rust, Tokio, Kafka, and Scylla ScyllaDB Raises $43M to Take on MongoDB at Scale, Push Database Performance to New Levels Running ScyllaDB NoSQL on Kubernetes with Spot Instances ScyllaDB on AWS is a NoSQL Database Built for Gigabyte-to-Petabyte Scale | Amazon Web Services Scylla vs Cassandra: Performance Comparison - DataScienceCentral.com bereitgestellt von Google News | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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