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DBMS > TimescaleDB

TimescaleDB Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit TimescaleDB zu vergleichen.

Unsere Besucher vergleichen TimescaleDB oft mit InfluxDB, PostgreSQL und CrateDB.

Redaktionelle Informationen bereitgestellt von DB-Engines
KurzbeschreibungA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primäres DatenbankmodellTime Series DBMS
Sekundäre DatenbankmodelleRelational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Rang#124  Overall
#8  Time Series DBMS
Technische Dokumentationdocs.timescale.com
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server BetriebssystemeLinux
Typisierung infovordefinierte Datentypen, z.B. float oder dateja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTja
SQL infoSupport of SQLja infofull PostgreSQL SQL syntax
APIs und andere Zugriffskonzeptenative C library
streaming API for large objects
Unterstützte Programmiersprachen.Net
Java infoJDBC
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenyes, across time and space (hash partitioning) attributes
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMaster-Slave Replikation info
MapReduce infoBietet ein API für Map/Reduce Operationennein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja
Durability infoDauerhafte Speicherung der Datenja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltennein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
Specific characteristics

TimescaleDB is the first open-source time-series database that combines the reliability, query power, ease-of-use, and scalability required by today's software applications and data analytics infrastructure. All data can fundamentally be collected as time-series data and developers across all industries globally are recognizing this capability. TimescaleDB enables developers and data analysts to work with time-series data in more powerful and flexible ways by offering a system that:

Supports Full SQL
TimescaleDB natively supports full SQL and adds specialized functions (and query optimizations) for working with time-series data. Support for SQL, a query language your developers and business analysts already know, means that your team does not have to spend time learning a "SQL-like" syntax or custom query language. It also means JOINs with metadata are possible, allowing developers to simplify their stack and eliminate data silos.

Looks and feels like PostgreSQL
TimescaleDB scales PostgreSQL in ways previously reserved for non-relational systems and optimizes for fast ingestion on big data. In order to scale far beyond their relational counterparts, non-relational systems sacrifice query power and the flexibility that comes with the relational schema. TimescaleDB ingests millions of data points per second; scales tables to 100s of billions of rows; and returns quick responses to complex queries.

Works with entire PostgreSQL ecosystem
As a PostgreSQL extension, TimescaleDB inherits an operational interface familiar to developers, 20+ years of reliability work and allows users to leverage best-of-breed technologies by integrating with the entire PostgreSQL extension. This includes PostGIS, which adds GIS support for geo-temporal analytics. Additionally, with support for JOINs, users are able to consolidate their time-series data (stored in hypertables) with the relational metadata that gives it meaning (stored in standard tables), eliminating the data silos resulting from deployments where two different databases are used: one for time-series data and one for metadata. 

For more information, please view our documentation or join us in our active Slack Community

Competitive advantages

TimescaleDB is purpose-built to scale and handle time-series data workloads and is intentionally designed as a PostgreSQL extension.

TimescaleDB provides developers with capabilities that no other time-series database today can offer:

  • Native support for ANSI SQL, including JOINs with relational metadata that can be stored right in standard PostgreSQL tables
  • GIS support (via PostGIS, another PostgreSQL extension), which allows users to roll their own geo-temporal database
  • Consistent, with support for ACID operations and transactions 
  • Secondary indexes, including composite indexes
  • Secondary JOINs
  • Transparent in its resource utilization and performance (e.g., many options for administration and tooling, offers the ability to run EXPLAIN)

TimescaleDB is proven and enterprise ready, providing the reliability and tooling of PostgreSQL, enterprise-grade security, production-ready SLAs, and support. TimescaleDB offers the largest ecosystem of any time-series database including support for Tableau, Looker, Mode, Grafana, PowerBI, Apache Kafka, RabbitMQ, Apache Spark, Prometheus, Zabbix, JDBC/ODBC, and more.

Typical application scenarios

IoT, Industrial Machine, and Sensor Data
Various industrial IoT use cases across manufacturing, mining, oil & gas, retail, healthcare, and more.

Modern Applications, Business Operations, and Data Pipelines
Developing modern SaaS applications, powering business operations and intelligence, and machine learning pipelines.

DevOps and Infrastructure Monitoring
DevOps and infrastructure monitoring, especially where siloed metrics are a concern and metadata is important.

Financial Information
Financial information and services across segments such as market research, commodities, and cryptocurrencies.

Key customers

Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly, Nutanix, Sailthru, ShiftLeft, SoFi, TransferWise, and many more.

Market metrics

1 million+ downloads, 6,500+ Github stars

Licensing and pricing models

Apache 2 and Timescale License (TSL); information on pricing for support and enterprise version available upon request

Zugehörige Produkte und Dienstleistungen

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
Erwähnungen in aktuellen Nachrichten

Timescale announces $15M investment and new enterprise version of TimescaleDB
29. Januar 2019, TechCrunch

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22. August 2019, Packt Hub

The First Complete Life-Cycle Database Management Solution for TimescaleDB
16. April 2019, PRNewswire

Why time series databases are exploding in popularity
26. Juni 2019, TechRepublic

Timescale and Microsoft Azure Join Forces to Power IoT and Time-Series Workloads
18. März 2019, Business Wire

bereitgestellt von Google News


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