DBMS > Google Cloud Datastore vs. Redis vs. RRDtool vs. Tarantool vs. TDSQL for MySQL
Vergleich der Systemeigenschaften Google Cloud Datastore vs. Redis vs. RRDtool vs. Tarantool vs. TDSQL for MySQL
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Name | Google Cloud Datastore Xaus Vergleich ausschliessen | Redis Xaus Vergleich ausschliessen | RRDtool Xaus Vergleich ausschliessen | Tarantool Xaus Vergleich ausschliessen | TDSQL for MySQL Xaus Vergleich ausschliessen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kurzbeschreibung | Selbst skalierendes NoSQL Datenbankservice in der Google Cloud Plattform | 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. | Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. The data is stored in a circular buffer, thus the system storage footprint remains constant over time. | In-memory computing platform with a flexible data schema for efficiently building high-performance applications | A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primäres Datenbankmodell | Document Store | Key-Value Store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence | Time Series DBMS | Document Store Key-Value Store Relational DBMS | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundäre Datenbankmodelle | 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 | Document Store Spatial DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | cloud.google.com/datastore | redis.com redis.io | oss.oetiker.ch/rrdtool | www.tarantool.io | www.tencentcloud.com/products/dcdb | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technische Dokumentation | cloud.google.com/datastore/docs | docs.redis.com/latest/index.html redis.io/docs | oss.oetiker.ch/rrdtool/doc | www.tarantool.io/en/doc | www.tencentcloud.com/document/product/1042 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Entwickler | Redis project core team, inspired by Salvatore Sanfilippo Entwicklung von Redis Inc finanziert | Tobias Oetiker | VK | Tencent | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Erscheinungsjahr | 2008 | 2009 | 1999 | 2008 | 2013 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Aktuelle Version | 7.2.5, Mai 2024 | 1.8.0, 2022 | 2.10.0, Mai 2022 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lizenz Commercial or Open Source | kommerziell | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | Open Source GPL V2 and FLOSS | Open Source BSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise | kommerziell | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Ausschließlich ein Cloud-Service Nur als Cloud-Service verfügbar | ja | nein | nein | nein | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | C | C Implementations in Java (e.g. RRD4J) and C# available | C und C++ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server Betriebssysteme | gehostet | BSD Linux OS X Windows portiert und gewartet durch Microsoft Open Technologies, Inc. | HP-UX Linux | BSD Linux macOS | gehostet | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Datenschema | schemafrei | schemafrei | ja | Flexible data schema: relational definition for tables with ability to store json-like documents in columns | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typisierung vordefinierte Datentypen, z.B. float oder date | ja, Details hier | teilweise Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes | Numeric data only | string, double, decimal, uuid, integer, blob, boolean, datetime | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML Unterstützung Verarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLT | nein | nein | nein Exporting into and restoring from XML files possible | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundärindizes | ja | ja with RediSearch module | nein | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | SQL-like query language (GQL) | with RediSQL module | nein | Full-featured ANSI SQL support | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs und andere Zugriffskonzepte | gRPC (using protocol buffers) API RESTful HTTP/JSON API | Proprietäres Protokoll RESP - REdis Serialization Protocol | In-process Library Pipes | Open binary protocol | JDBC ODBC | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Unterstützte Programmiersprachen | .Net Go Java 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 with librrd library C# with a different implementation of RRDTool Java with a different implementation of RRDTool JavaScript (Node.js) with a different implementation of RRDTool Lua Perl PHP with a wrapper library Python Ruby | C C# C++ Erlang Go Java JavaScript Lua Perl PHP Python Rust | C C# C++ Java PHP Python Ruby | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-seitige Scripts Stored Procedures | mit Google App Engine | Lua; Redis Functions coming in Redis 7 (slides and Github) | nein | Lua, C and SQL stored procedures | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | Callbacks mit Google Apps Engine | publish/subscribe channels provide some trigger functionality; RedisGears | nein | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitionierungsmechanismen Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten | Sharding | Sharding Automatic hash-based sharding with support for hash-tags for manual sharding | keine | Sharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime. | Automatic sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replikationsmechanismen Methoden zum redundanten Speichern von Daten auf mehreren Knoten | Multi-source replication using Paxos | Multi-Source Replikation with Redis Enterprise Pack Source-Replica Replikation Chained replication wird unterstützt | keine | Asynchronous replication with multi-master option Configurable replication topology (full-mesh, chain, star) Synchronous quorum replication (with Raft) | Multi-Source Replikation Source-Replica Replikation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Bietet ein API für Map/Reduce Operationen | ja mittels Google Cloud Dataflow | through RedisGears | nein | nein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Konsistenzkonzept Methoden zur Sicherstellung der Konsistenz in einem verteilten System | Immediate Consistency or Eventual Consistency depending on type of query and configuration Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent. | Eventual Consistency Causal consistency can be enabled in Active-Active databases Strong consistency with Redis Raft Strong eventual consistency with Active-Active | keine | 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 | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fremdschlüssel referenzielle Integrität | ja via ReferenceProperties or Ancestor paths | nein | nein | yes | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaktionskonzept Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen | ACID Serializable Isolation within Transactions, Read Committed outside of Transactions | Atomic execution of command blocks and scripts and optimistic locking | nein | ACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Unterstützung von gleichzeitig ausgeführten Datenmanipulationen | ja | ja Datenzugriffe werden vom Server serialisiert | ja by using the rrdcached daemon | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Dauerhafte Speicherung der Daten | ja | ja konfigurierbare Persistenzmechanismen via snapshots oder logs | ja | yes, write ahead logging | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-Memory Unterstützung Gibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu halten | nein | ja | ja | yes, full featured in-memory storage engine with persistence | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Berechtigungskonzept Zugriffskontrolle | Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM) | 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 | nein | 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 | Users with fine-grained authorization concept | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Google Cloud Datastore | Redis | RRDtool | Tarantool | TDSQL for MySQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines Blog Posts | 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 | Time Series DBMS are the database category with the fastest increase in popularity Time Series DBMS as a new trend? | Data processing speed and reliability: in-memory synchronous replication | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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