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DBMS > GridGain vs. InfluxDB vs. Tarantool vs. YugabyteDB

Vergleich der Systemeigenschaften GridGain vs. InfluxDB vs. Tarantool vs. YugabyteDB

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameGridGain  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessenYugabyteDB  Xaus Vergleich ausschliessen
KurzbeschreibungGridGain is an in-memory computing platform, built on Apache IgniteDBMS for storing time series, events and metricsIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Time Series DBMSDocument Store
Key-Value Store
Relational DBMS
Relational DBMS
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageSpatial DBMS infowith Tarantool/GIS extensionDocument Store
Wide Column Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,55
Rang#150  Overall
#26  Key-Value Stores
#70  Relational DBMS
Punkte24,39
Rang#28  Overall
#1  Time Series DBMS
Punkte1,67
Rang#143  Overall
#25  Document Stores
#25  Key-Value Stores
#65  Relational DBMS
Punkte2,63
Rang#109  Overall
#53  Relational DBMS
Websitewww.gridgain.comwww.influxdata.com/­products/­influxdb-overviewwww.tarantool.iowww.yugabyte.com
Technische Dokumentationwww.gridgain.com/­docs/­index.htmldocs.influxdata.com/­influxdbwww.tarantool.io/­en/­docdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
EntwicklerGridGain Systems, Inc.VKYugabyte Inc.
Erscheinungsjahr2007201320082017
Aktuelle VersionGridGain 8.5.12.7.6, April 20242.10.0, Mai 20222.1, September 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
ImplementierungsspracheJava, C++, .NetGoC und C++C und C++
Server BetriebssystemeLinux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
BSD
Linux
macOS
Linux
OS X
DatenschemajaschemafreiFlexible data schema: relational definition for tables with ability to store json-like documents in columnsdepending on used data model
Typisierung infovordefinierte Datentypen, z.B. float oder datejaNumeric data and Stringsstring, double, decimal, uuid, integer, blob, boolean, datetimeja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinneinnein
Sekundärindizesjaneinjaja
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageFull-featured ANSI SQL supportyes, PostgreSQL compatible
APIs und andere ZugriffskonzepteHDFS API
Hibernate
JCache
JDBC
ODBC
Propriätäres Protokoll
RESTful HTTP API
Spring Data
HTTP API
JSON over UDP
Open binary protocolJDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Unterstützte ProgrammiersprachenC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-seitige Scripts infoStored Proceduresyes (compute grid and cache interceptors can be used instead)neinLua, C and SQL stored proceduresja infosql, plpgsql, C
Triggersyes (cache interceptors and events)neinjaja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoin enterprise version onlySharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.Hash and Range Sharding, row-level geo-partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenyes (replicated cache)frei wählbarer Replikationsfaktor infoin enterprise version onlyAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoBietet ein API für Map/Reduce Operationenyes (compute grid and hadoop accelerator)neinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Strong consistency on writes and tunable consistency on reads
Fremdschlüssel inforeferenzielle Integritätneinneinyesja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajayes, write ahead loggingja infobased on RocksDB
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaja infoDepending on used storage engineyes, full featured in-memory storage engine with persistencenein
Berechtigungskonzept infoZugriffskontrolleSecurity Hooks for custom implementationsEinfache Rechteverwaltung mit BenutzeraccountsAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
ja
Weitere Informationen bereitgestellt vom Systemhersteller
GridGainInfluxDBTarantoolYugabyteDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» mehr
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» mehr
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Systems of record and engagement for cloud native applications that require resilience,...
» mehr
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
Apache 2.0 license for the database
» mehr
Neuigkeiten

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5. Juni 2024

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4. Juni 2024

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30. Mai 2024

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Weitere Ressourcen
GridGainInfluxDBTarantoolYugabyteDB
DB-Engines Blog Posts

Why Build a Time Series Data Platform?
20. Juli 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4. Juli 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

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Data processing speed and reliability: in-memory synchronous replication
9. November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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