DBMS > Hive vs. Microsoft Azure Data Explorer vs. NuoDB vs. Redis vs. Tarantool
Vergleich der Systemeigenschaften Hive vs. Microsoft Azure Data Explorer vs. NuoDB vs. Redis vs. Tarantool
Redaktionelle Informationen bereitgestellt von DB-Engines | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Name | Hive Xaus Vergleich ausschliessen | Microsoft Azure Data Explorer Xaus Vergleich ausschliessen | NuoDB Xaus Vergleich ausschliessen | Redis Xaus Vergleich ausschliessen | Tarantool Xaus Vergleich ausschliessen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kurzbeschreibung | Data Warehouse Software zum Abfragen und Verwalten großer verteilter Datenmengen beispielsweise in Hadoop | Fully managed big data interactive analytics platform | NuoDB ist eine skalierbare verteilte Datenbank, mit SQL und ACID Transaktionen | Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments Redis legt höchsten Wert auf Performanz. Bei Designentscheidungen wird typischerweise Performanz der Vorzug vor Features oder Speicherbedarf gegeben. | In-memory computing platform with a flexible data schema for efficiently building high-performance applications | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primäres Datenbankmodell | Relational DBMS | Relational DBMS column oriented | Relational DBMS | Key-Value Store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence | Document Store Key-Value Store Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundäre Datenbankmodelle | Document Store If a column is of type dynamic docs.microsoft.com/en-us/azure/kusto/query/scalar-data-types/dynamic then it's possible to add arbitrary JSON documents in this cell Event Store this is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps) Spatial DBMS Suchmaschine support for complex search expressions docs.microsoft.com/en-us/azure/kusto/query/parseoperator FTS, Geospatial docs.microsoft.com/en-us/azure/kusto/query/geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine Time Series DBMS see docs.microsoft.com/en-us/azure/data-explorer/time-series-analysis | Document Store with RedisJSON Graph DBMS with RedisGraph Spatial DBMS Suchmaschine with RediSearch Time Series DBMS with RedisTimeSeries Vektor DBMS | Spatial DBMS with Tarantool/GIS extension | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
|
|
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Website | hive.apache.org | azure.microsoft.com/services/data-explorer | www.3ds.com/nuodb-distributed-sql-database | redis.com redis.io | www.tarantool.io | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technische Dokumentation | cwiki.apache.org/confluence/display/Hive/Home | docs.microsoft.com/en-us/azure/data-explorer | doc.nuodb.com | docs.redis.com/latest/index.html redis.io/docs | www.tarantool.io/en/doc | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Entwickler | Apache Software Foundation Ursprünglich von Facebook entwickelt | Microsoft | Dassault Systèmes originally NuoDB, Inc. | Redis project core team, inspired by Salvatore Sanfilippo Entwicklung von Redis Inc finanziert | VK | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Erscheinungsjahr | 2012 | 2019 | 2013 | 2009 | 2008 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Aktuelle Version | 3.1.3, April 2022 | cloud service with continuous releases | 7.2.4, Jaenner 2024 | 2.10.0, Mai 2022 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lizenz Commercial or Open Source | Open Source Apache Version 2 | kommerziell | kommerziell Limitierte Edition gratis | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | Open Source BSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Ausschließlich ein Cloud-Service Nur als Cloud-Service verfügbar | nein | ja | nein | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS Angebote (gesponserte Links) Database 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementierungssprache | Java | C++ | C | C und C++ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server Betriebssysteme | Alle Betriebssysteme mit einer Java VM | gehostet | gehostet Amazon EC2, Windows Azure, SoftLayer Linux OS X Windows | BSD Linux OS X Windows portiert und gewartet durch Microsoft Open Technologies, Inc. | BSD Linux macOS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Datenschema | ja | Fixed schema with schema-less datatypes (dynamic) | ja | schemafrei | Flexible data schema: relational definition for tables with ability to store json-like documents in columns | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typisierung vordefinierte Datentypen, z.B. float oder date | ja | ja bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/en-us/azure/kusto/query/scalar-data-types | ja | teilweise Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes | string, double, decimal, uuid, integer, blob, boolean, datetime | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML Unterstützung Verarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLT | ja | nein | nein | nein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundärindizes | ja | all fields are automatically indexed | ja | ja with RediSearch module | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | SQL-like DML and DDL statements | Kusto Query Language (KQL), SQL subset | ja | with RediSQL module | Full-featured ANSI SQL support | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs und andere Zugriffskonzepte | JDBC ODBC Thrift | Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API | ADO.NET JDBC ODBC | Proprietäres Protokoll RESP - REdis Serialization Protocol | Open binary protocol | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Unterstützte Programmiersprachen | C++ Java PHP Python | .Net Go Java JavaScript (Node.js) PowerShell Python R | .Net C C++ Go Java JavaScript JavaScript (Node.js) PHP Python Ruby | 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# C++ Erlang Go Java JavaScript Lua Perl PHP Python Rust | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-seitige Scripts Stored Procedures | ja Benutzerdefinierte Funktion und Map-Reduce Integration | Yes, possible languages: KQL, Python, R | Java, SQL | Lua; Redis Functions coming in Redis 7 (slides and Github) | Lua, C and SQL stored procedures | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | nein | ja see docs.microsoft.com/en-us/azure/kusto/management/updatepolicy | ja | publish/subscribe channels provide some trigger functionality; RedisGears | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitionierungsmechanismen Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten | Sharding | Sharding Implicit feature of the cloud service | dynamische Verteilung der Daten auf die einzelnen Knoten | Sharding Automatic hash-based sharding with support for hash-tags for manual sharding | Sharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replikationsmechanismen Methoden zum redundanten Speichern von Daten auf mehreren Knoten | frei wählbarer Replikationsfaktor | ja Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant. | ja Managed transparently by NuoDB | Multi-Source Replikation with Redis Enterprise Pack Source-Replica Replikation Chained replication wird unterstützt | Asynchronous replication with multi-master option Configurable replication topology (full-mesh, chain, star) Synchronous quorum replication (with Raft) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Bietet ein API für Map/Reduce Operationen | ja Abfragen werden als MapReduce Jobs behandelt | Spark connector (open source): github.com/Azure/azure-kusto-spark | nein | through RedisGears | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Konsistenzkonzept Methoden zur Sicherstellung der Konsistenz in einem verteilten System | Eventual Consistency | Eventual Consistency Immediate Consistency | Immediate Consistency | Eventual Consistency Causal consistency can be enabled in Active-Active databases Strong consistency with Redis Raft Strong eventual consistency with Active-Active | Casual consistency across sharding partitions Eventual consistency within replicaset partition when using asyncronous replication Immediate Consistency within single instance Sequential consistency including linearizable read within replicaset partition when using Raft | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fremdschlüssel referenzielle Integrität | nein | nein | ja | nein | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaktionskonzept Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen | nein | nein | ACID tunable commit protocol | Atomic execution of command blocks and scripts and optimistic locking | ACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Unterstützung von gleichzeitig ausgeführten Datenmanipulationen | ja | ja | ja MVCC | ja Datenzugriffe werden vom Server serialisiert | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Dauerhafte Speicherung der Daten | ja | ja | ja | ja konfigurierbare Persistenzmechanismen via snapshots oder logs | yes, write ahead logging | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-Memory Unterstützung Gibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu halten | nein | ja Temporary table | ja | yes, full featured in-memory storage engine with persistence | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Berechtigungskonzept Zugriffskontrolle | Zugriffsrechte für Benutzer, Gruppen und Rollen | Azure Active Directory Authentication | Standard SQL Rollen und Rechte | Access 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 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 SystemherstellerWir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen, | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Zugehörige Produkte und Dienstleistungen | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Drittanbieter | Navicat for Redis: the award-winning Redis management tool with an intuitive and powerful graphical interface. » mehr CData: Connect to Big Data & NoSQL through standard Drivers. » mehr Redisson PRO: The ultra-fast Redis Java Client. » mehr Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs. » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Weitere Ressourcen | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Hive | Microsoft Azure Data Explorer | NuoDB | Redis | Tarantool | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines Blog Posts | Why is Hadoop not listed in the DB-Engines Ranking? | Meet some database management systems you are likely to hear more about in the future | PostgreSQL is the DBMS of the Year 2018 MySQL, PostgreSQL and Redis are the winners of the March ranking MongoDB is the DBMS of the year, defending the title from last year | Data processing speed and reliability: in-memory synchronous replication Apache Software Foundation Announces Apache® Hive 4.0 ASF Unveils the Next Evolution of Big Data Processing With the Launch of Hive 4.0 Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS | Amazon Web Services Apache Hive 4.0 Launches, Revolutionizing Data Management and Analysis 18 Top Big Data Tools and Technologies to Know About in 2024 bereitgestellt von Google News General availability: Azure Data Explorer adds new geospatial capabilities | Azure updates Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates Azure Data Explorer: Log and telemetry analytics benchmark Providing modern data transfer and storage service at Microsoft with Microsoft Azure - Inside Track Blog Introducing Microsoft Fabric: The data platform for the era of AI | Microsoft Azure Blog bereitgestellt von Google News Dassault Systèmes Announces the Acquisition of NuoDB, a Cloud-Native Distributed SQL Database Leader Deploy the NuoDB Database in Docker Containers Dassault Systèmes to acquire Cambridge database startup - Boston Business Journal Big Data Product Watch 1/31/17: No-Cost NuoDB, GPU Analytics, Cloud Object Storage, More -- ADTmag NuoDB empowers distributed database users to optimize cloud and container resources with new graphical dashboard bereitgestellt von Google News Linux Foundation marshals support for open source alternative to Redis Redis switches licenses, acquires Speedb to go beyond its core in-memory database The Coolest Database System Companies Of The 2024 Big Data 100 Redis acquires storage engine startup Speedb to enhance its open-source database Valkey is Rapidly Overtaking Redis bereitgestellt von Google News Tarantool Announces New Enterprise Version With Enhanced Scaling and Monitoring Capabilities Deploying Tarantool Cartridge applications with zero effort (Part 1) TaranHouse: New Big Data Warehouse Announced by Tarantool Deploying Tarantool Cartridge applications with zero effort (Part 2) Тarantool Cartridge: Sharding Lua Backend in Three Lines bereitgestellt von Google News |
Teilen sie diese Seite mit ihrem Netzwerk