DBMS > eXtremeDB vs. Neo4j vs. PostgreSQL vs. Raima Database Manager vs. SingleStore
Vergleich der Systemeigenschaften eXtremeDB vs. Neo4j vs. PostgreSQL vs. Raima Database Manager vs. SingleStore
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| Name | eXtremeDB Xaus Vergleich ausschliessen | Neo4j Xaus Vergleich ausschliessen | PostgreSQL Xaus Vergleich ausschliessen | Raima Database Manager  formerly named db_Vista Xaus Vergleich ausschliessen | SingleStore former name was MemSQL Xaus Vergleich ausschliessen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Natively in-memory DBMS with options for persistency, high-availability and clustering | Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings | Weit verbreitetes, allgemein einsetzbares Open Source RDBMS Entwickelt als objektorientiertes DBMS, im Laufe der Zeit um 'Standards' wie SQL erweitert | RDBMS with a small footprint, either embedded into an application or used as a database server | MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primäres Datenbankmodell | Relational DBMS Time Series DBMS | Graph DBMS | Relational DBMS mit objektorientierten Erweiterungen, z.B.: benutzerdefinierte Datentypen/Funktionen und Vererbung. Key/Value handling mit hstore Modul. | Relational DBMS Time Series DBMS | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Sekundäre Datenbankmodelle | Document Store Graph DBMS with Apache AgeSpatial DBMS Vektor DBMS with pgvector extension | Document Store Spatial DBMS Time Series DBMS Vektor DBMS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Website | www.mcobject.com | neo4j.com | www.postgresql.org | raima.com | www.singlestore.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technische Dokumentation | www.mcobject.com/docs/extremedb.htm | neo4j.com/docs | www.postgresql.org/docs | docs.raima.com | docs.singlestore.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Entwickler | McObject | Neo4j, Inc. | PostgreSQL Global Development Group www.postgresql.org/developer | Raima Inc. | SingleStore Inc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Erscheinungsjahr | 2001 | 2007 | 1989 1989: Postgres, 1996: PostgreSQL | 1984 | 2013 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Aktuelle Version | 8.2, 2021 | 5.20, Mai 2024 | 16.3, Mai 2024 | 15, Juni 2021 | 8.5, Jänner 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lizenz Commercial or Open Source | kommerziell | Open Source GPL Version3, kommerzielle Lizenzen verfügbar bei Bedarf | Open Source BSD | kommerziell | kommerziell free developer edition 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. | Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers. |
| SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Implementierungssprache | C und C++ | Java, Scala | C | C | C++, Go | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server Betriebssysteme | AIX HP-UX Linux macOS Solaris Windows | Linux Kann auch Server-los als embedded Java Datenbank verwendet werden. OS X Solaris Windows | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | Android HP-UX Integrity RTOS iOS Linux OS X QNX Solaris VxWorks Windows | Linux 64 bit version required | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Datenschema | ja | schemafrei und schema-optional | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typisierung vordefinierte Datentypen, z.B. float oder date | ja | 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 support of XML interfaces available | ja specific XML-type available, but no XML query functionality. | nein Exporting/Importing of XML structures possible | nein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Sekundärindizes | ja | ja Austauschbares Index Subsystem, per Default Apache Lucene | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | ja with the option: eXtremeSQL | nein | ja Standard mit zahlreichen Erweiterungen | ja | yes but no triggers and foreign keys | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs und andere Zugriffskonzepte | .NET Client API JDBC JNI ODBC Proprietäres Protokoll RESTful HTTP API | Bolt protocol Cypher query language Java API Neo4j-OGM Object Graph MapperRESTful HTTP API Spring Data Neo4j TinkerPop 3 | ADO.NET JDBC native C library ODBC streaming API for large objects | ADO.NET JDBC ODBC RESTful HTTP API | Cluster Management API as HTTP Rest and CLI HTTP API JDBC MongoDB API ODBC | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Unterstützte Programmiersprachen | .Net C C# C++ Java Lua Python Scala | .Net Clojure Elixir Go Groovy Haskell Java JavaScript Perl PHP Python Ruby Scala | .Net C C++ Delphi Java JDBCJavaScript (Node.js) Perl PHP Python Tcl | .Net C C++ Objective-C PL/SQL | Bash C C# Java JavaScript (Node.js) Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server-seitige Scripts Stored Procedures | ja | ja User defined Procedures and Functions | benutzerdefinierte Funktionen realisiert z.B. mit spezifischer Sprache PL/pgSQL, aber auch andere Sprachen möglich (Perl, Python, Tcl, etc.) | ja based on the ANSI/ISO SQL Persistent Stored Modules (PSM) specification | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | ja by defining events | ja mittels Event Handler | ja | ja | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitionierungsmechanismen Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten | horizontale Partitionierung / sharding | ja, mit Neo4j Fabric | partitioning by range, list and (since PostgreSQL 11) by hash | horizontale Partitionierung | Sharding hash partitioning | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replikationsmechanismen Methoden zum redundanten Speichern von Daten auf mehreren Knoten | Active Replication Fabric™ for IoT Multi-Source Replikation by means of eXtremeDB Cluster optionSource-Replica Replikation by means of eXtremeDB High Availability option | Causal Clustering using Raft protocol available in in Enterprise Version only | Source-Replica Replikation andere Varianten durch Verwendung von 3rd party - tools | Source-Replica Replikation | Source-Replica Replikation stores two copies of each physical data partition on two separate nodes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Bietet ein API für Map/Reduce Operationen | nein | nein | nein | nein | nein can define user-defined aggregate functions for map-reduce-style calculations | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Konsistenzkonzept Methoden zur Sicherstellung der Konsistenz in einem verteilten System | Immediate Consistency | Causal and Eventual Consistency configurable in Causal Cluster setup Immediate Consistency in stand-alone mode | Immediate Consistency | Immediate Consistency or Eventual Consistency depending on configuration | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Fremdschlüssel referenzielle Integrität | ja | ja Beziehungen in Graphen | ja | ja | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaktionskonzept Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen | ACID | ACID | ACID | ACID | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Concurrency Unterstützung von gleichzeitig ausgeführten Datenmanipulationen | ja Optimistic (MVCC) and pessimistic (locking) strategies available | ja | ja | yes, multi-version concurrency control (MVCC) | yes, multi-version concurrency control (MVCC) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Durability Dauerhafte Speicherung der Daten | ja | ja | ja | ja | ja All updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In-Memory Unterstützung Gibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu halten | ja | nein | ja | ja | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Berechtigungskonzept Zugriffskontrolle | Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos) | Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard | nein | Fine grained access control via users, groups and roles | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| eXtremeDB | Neo4j | PostgreSQL | Raima Database Manager formerly named db_Vista | SingleStore former name was MemSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Specific characteristics | eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small... » mehr | Neo4j delivers graph technology that has been battle tested for performance and scale... » mehr | Raima Database Manager (RDM) is an embedded time-series database optimized to run... » mehr | SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed... » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competitive advantages | eXtremeDB databases can be modeled relationally or as objects and can utilize SQL... » mehr | Neo4j is the market leader, graph database category creator, and the most widely... » mehr | Decreased time-to-market Industry-standard interfaces & tools for making your job... » mehr | SingleStore’s competitive advantages include: Easy and Simplified Architecture with... » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typical application scenarios | IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,... » mehr | Real-Time Recommendations Master Data Management Identity and Access Management Network... » mehr | Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series... » mehr | Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting... » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Key customers | Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,... » mehr | Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers... » mehr | Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,... » mehr | IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,... » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Market metrics | With hundreds of customers and over 30 million devices/applications using the product... » mehr | Neo4j boasts the world's largest graph database ecosystem with more than 140 million... » mehr | Over 30 000 applications developers worldwide have field-tested RDM products More... » mehr | Customers in various industries worldwide including US and International Industry... » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Licensing and pricing models | For server use cases, there is a simple per-server license irrespective of the number... » mehr | GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial... » mehr | Just as the technical aspects of Raima Database Manager are flexible, so are the... » mehr | F ree Tier and Enterprise Edition » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Neuigkeiten | This Week in Neo4j: Importing Data, NODES, GenAI, Going Meta and more openCypher Will Pave the Road to GQL for Cypher Implementers 7 Tips for Submitting Your NODES 2024 Talk How to Configure Neo4j Aura With AWS PrivateLink This Week in Neo4j: Podcast, GraphRAG, GraphQL, Chatbot and more | Raima Unveils RaimaDB 16.0: Elevating Database Performance and User Experience Raima Announces Release of Raima Database Manager (RDM) v15, a Powerful Embedded Time Series Database Raima Announces Release of Raima Database Manager (RDM) v14.2, a Powerful IoT Edge Embedded Database Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions Raima Expands Their Reseller Network in Asia | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| eXtremeDB | Neo4j | PostgreSQL | Raima Database Manager formerly named db_Vista | SingleStore former name was MemSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | PostgreSQL is the DBMS of the Year 2023 Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 | Turbocharge Your Application Development Using WebAssembly With SingleStoreDB Cloud-Based Analytics With SingleStoreDB SingleStore: The Increasing Momentum of Multi-Model Database Systems McObject Delivers eXtremeDB 8.4 Improving Performance, Security, and Developer Productivity Latest embedded DBMS supports asymmetric multiprocessing systems McObject & IBM Set New Records for Speed & Stability in STAC-M3 Benchmark for Capital Markets The Data in Hard Real-time SCADA Systems Lets Companies Do More with Less McObject’s new eXtremeDB Cluster provides distributed database solution for real-time apps bereitgestellt von Google News Neo4j Announces Collaboration with Microsoft to Advance GenAI and Data Solutions USA - English - India - English Neo Technology Announces Neo4j GraphDays Events in Seattle and Silicon Valley Neo4j CTO says new Graph Query Language standard will have 'massive ripple effects' Neo4j Is Planning IPO on Nasdaq, Largest Owner Greenbridge Says Give Your Graph Workload a Cost-Performance Boost with Neo4j and AWS Graviton | Amazon Web Services bereitgestellt von Google News How to implement a better like, views, comment counters in PostgreSQL? Automatically Generate Types for Your PostgreSQL Database First Principles: Optimizing PostgreSQL for the cloud Oracle Introduces PostgreSQL Running Native on OCI General availability: Microsoft Entra ID integration with Azure Cosmos DB for PostgreSQL | Azure updates bereitgestellt von Google News Raima re-bundles their Raima Database Manager packages to align with market trends Edge Computing Enabling the Future | Wind River Raima releases version 3 of Raima Database API for NI LabVIEW LabVIEW integrates Raima's Database API IP Core for ASICs & FPGAs meets CAN FD spec bereitgestellt von Google News Building a Modern Database: Nikita Shamgunov on Postgres and Beyond SingleStore CEO sees little future for purpose-built vector databases SingleStore Announces Real-time Data Platform to Further Accelerate AI, Analytics and Application Development SingleStore update adds new tools to fuel GenAI, analytics SingleStore adds indexed vector search to Pro Max release for faster AI work – Blocks and Files bereitgestellt von Google News | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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