DBMS > GraphDB vs. Memgraph vs. Neo4j vs. Vertica vs. Weaviate
Vergleich der Systemeigenschaften GraphDB vs. Memgraph vs. Neo4j vs. Vertica vs. Weaviate
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| Name | GraphDB  Ursprünglicher Name: OWLIM Xaus Vergleich ausschliessen | Memgraph Xaus Vergleich ausschliessen | Neo4j Xaus Vergleich ausschliessen | Vertica OpenText™ Vertica™ Xaus Vergleich ausschliessen | Weaviate Xaus Vergleich ausschliessen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | 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. | An open source graph database built for real-time streaming and compatible with Neo4j | Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings | Cloud 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. | An AI-native realtime vector database engine that integrates scalable machine learning models. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primäres Datenbankmodell | Graph DBMS RDF Store | Graph DBMS | Graph DBMS | Relational DBMS Column oriented | Vektor DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Sekundäre Datenbankmodelle | Spatial DBMS Time Series DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Website | www.ontotext.com | memgraph.com | neo4j.com | www.vertica.com | github.com/weaviate/weaviate weaviate.io | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technische Dokumentation | graphdb.ontotext.com/documentation | memgraph.com/docs | neo4j.com/docs | vertica.com/documentation | weaviate.io/developers/weaviate | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Entwickler | Ontotext | Memgraph Ltd | Neo4j, Inc. | OpenText previously Micro Focus and Hewlett Packard | Weaviate B.V. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Erscheinungsjahr | 2000 | 2017 | 2007 | 2005 | 2019 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Aktuelle Version | 10.4, Oktober 2023 | 5.20, Mai 2024 | 12.0.3, Jänner 2023 | 1.19, Mai 2023 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lizenz Commercial or Open Source | kommerziell Some plugins of GraphDB Workbench are open sourced | Open Source BSL 1.1; commercial license for enterprise edition available | Open Source GPL Version3, kommerzielle Lizenzen verfügbar bei Bedarf | kommerziell Limitierte Community Edition gratis | Open Source commercial license available with Weaviate Enterprise | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Ausschließlich ein Cloud-Service Nur als Cloud-Service verfügbar | nein | nein | nein | nein on-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DBaaS Angebote (gesponserte Links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Implementierungssprache | Java | C und C++ | Java, Scala | C++ | Go | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server Betriebssysteme | Alle Betriebssysteme mit einer Java VM Linux OS X Windows | Linux | Linux Kann auch Server-los als embedded Java Datenbank verwendet werden. OS X Solaris Windows | Linux | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Datenschema | schema-free and OWL/RDFS-schema support; RDF shapes | schemafrei und schema-optional | schemafrei und schema-optional | Yes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried. | yes, maps to GraphQL interface | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typisierung vordefinierte Datentypen, z.B. float oder date | ja | ja | ja | yes | ja string, int, float, geo point, date, cross reference, fuzzy references | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| XML Unterstützung Verarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLT | nein | nein | nein | nein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Sekundärindizes | 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 | No Indexes Required. Different internal optimization strategy, but same functionality included. | ja all data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC | nein | nein | Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions. | GraphQL is used as query language | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs und andere Zugriffskonzepte | 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 | Bolt protocol Cypher query language Java API Neo4j-OGM Object Graph MapperRESTful HTTP API Spring Data Neo4j TinkerPop 3 | ADO.NET JDBC Kafka Connector ODBC RESTful HTTP API Spark Connector vSQL character-based, interactive, front-end utility | GraphQL query language RESTful HTTP/JSON API | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Unterstützte Programmiersprachen | .Net C# Clojure Java JavaScript (Node.js) PHP Python Ruby Scala | .Net C C++ Elixir Go Haskell Java JavaScript PHP Python Ruby Scala | .Net Clojure Elixir Go Groovy Haskell Java JavaScript Perl PHP Python Ruby Scala | C# C++ Go Java JavaScript (Node.js) Perl PHP Python R | JavaScript / TypeScript Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server-seitige Scripts Stored Procedures | well-defined plugin interfaces; JavaScript server-side extensibility | ja User defined Procedures and Functions | yes, PostgreSQL PL/pgSQL, with minor differences | nein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | nein | ja mittels Event Handler | yes, called Custom Alerts | nein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitionierungsmechanismen Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten | keine | Sharding dynamic graph partitioning | ja, mit Neo4j Fabric | horizontal partitioning, hierarchical partitioning | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replikationsmechanismen Methoden zum redundanten Speichern von Daten auf mehreren Knoten | Multi-Source Replikation | Multi-source replication using RAFT | Causal Clustering using Raft protocol available in in Enterprise Version only | Multi-Source Replikation One, or more copies of data replicated across nodes, or object-store used for repository. | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Bietet ein API für Map/Reduce Operationen | nein | nein | nein | no Bi-directional Spark integration | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Konsistenzkonzept Methoden zur Sicherstellung der Konsistenz in einem verteilten System | Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request) | Immediate Consistency | Causal and Eventual Consistency configurable in Causal Cluster setup Immediate Consistency in stand-alone mode | Immediate Consistency | Eventual Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Fremdschlüssel referenzielle Integrität | ja Constraint checking | ja relationships in graphs | ja Beziehungen in Graphen | ja | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaktionskonzept Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen | ACID | ACID with snapshot isolation | ACID | ACID | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Concurrency Unterstützung von gleichzeitig ausgeführten Datenmanipulationen | ja | yes, multi-version concurrency control (MVCC) | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Durability Dauerhafte Speicherung der Daten | ja | ja with periodic snapshot and write-ahead logging (WAL) of changes | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In-Memory Unterstützung Gibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu halten | ja | nein | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Berechtigungskonzept Zugriffskontrolle | 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 | Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos) | fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash | API Keys OpenID Connect Discovery | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| GraphDB Ursprünglicher Name: OWLIM | Memgraph | Neo4j | Vertica OpenText™ Vertica™ | Weaviate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Specific characteristics | Ontotext GraphDB is a semantic database engine that allows organizations to build... » mehr | Memgraph directly connects to your streaming infrastructure so you and your team... » mehr | Neo4j delivers graph technology that has been battle tested for performance and scale... » mehr | Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,... » mehr | Weaviate is an open source vector database that is robust, scalable, cloud-native,... » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competitive advantages | GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment... » mehr | Business Source License ensures a future for the Memgraph community MAGE algorithm... » mehr | Neo4j is the market leader, graph database category creator, and the most widely... » mehr | Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages... » mehr | Flexible deployment - Free, open source or fully-managed cloud vector database service... » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typical application scenarios | Metadata enrichment and management, linked data publishing, semantic inferencing... » mehr | Graph algorithms in bioinformatics Social network analysis Cryptocurrency network... » mehr | Real-Time Recommendations Master Data Management Identity and Access Management Network... » mehr | Communication and network analytics, Embedded analytics, Fraud monitoring and Risk... » mehr | As a database supporting the development of generative AI and semantic search applications... » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Key customers | 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 | Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,... » mehr | All companies that have data. » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Market metrics | 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 | As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community... » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Licensing and pricing models | GraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition... » mehr | You can check out our pricing model and licenses on the company website . » mehr | GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial... » mehr | Cost-based models and subscription-based models are both available. One license is... » mehr | Weaviate is open-source, and free to use. Weaviate is also available as a fully managed... » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Neuigkeiten | Riding the Databricks Wave with Hybrid Knowledge Graphs Matching Skills and Candidates with Graph RAG A Triple Store RAG Retriever Integrating GraphDB with Relational Database Systems Understanding the Graph Center of Excellence | This Week in Neo4j: Llamaindex, Semantic Search, Graph Database, Entity Resolution and more Neo4j-Databricks Connector Delivers Deeper Insights, Faster GenAI Development This Week in Neo4j: Podcast, Testing, Knowledge Graph, GenAI and more Neo4j and Snowflake Bring Graph Data Science Into the AI Data Cloud RDF vs. Property Graphs: Choosing the Right Approach for Implementing a Knowledge Graph | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| GraphDB Ursprünglicher Name: OWLIM | Memgraph | Neo4j | Vertica OpenText™ Vertica™ | Weaviate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DB-Engines Blog Posts | 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 | Weaviate, an ANN Database with CRUD support Ontotext's GraphDB Solution Now Available on the Microsoft Azure Marketplace 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 It's just semantics: Bulgarian software dev Ontotext squeezes out GraphDB 9.1 Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer bereitgestellt von Google News Enhance Your Network Analysis with the Power of a Graph DB Graph database company Memgraph raises $9.34M Graph Database Market to grow at a CAGR of 19.9% from 2022 to 2027|Increased demand for low-latency queries is a ... Croatian graph database startup Memgraph raises €8M with Microsoft as key investor, plans to boost R&D Modeling and Navigating a Transportation Network with Memgraph bereitgestellt von Google News Neo4j employs knowledge graphs as part of the AI stack Neo4j Announces Collaboration with Microsoft to Advance GenAI and Data Solutions USA - English - India - English Neo4j graph analytics integrated with Snowflake’s AI cloud Using Neo4j’s graph database for AI in Azure Neo4j Is Planning IPO on Nasdaq, Largest Owner Greenbridge Says bereitgestellt von Google News Stonebraker Seeks to Invert the Computing Paradigm with DBOS OpenText expands enterprise portfolio with AI and Micro Focus integrations Querying a Vertica data source in Amazon Athena using the Athena Federated Query SDK | Amazon Web Services Postgres pioneer Michael Stonebraker promises to upend the database once more Vertica by OpenText and Anritsu Sign New Deal for Next-Gen Architecture and 5G Network Capabilities bereitgestellt von Google News Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector ... Weaviate Partners with Snowflake to Bring Secure GenAI to Snowpark Container Services Foley Represents Cortical Ventures in $50M Series B Round for Weaviate Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases Weaviate Raises $50 Million Series B Funding to Meet Soaring Demand for AI Native Vector Database Technology ... bereitgestellt von Google News | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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