Feb 2019 Demo of Postgres & Citus for Lightning-Fast Analytics Queries

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  • čas přidán 8. 07. 2024
  • A demo to learn how you can use Citus to scale out Postgres and provide fast analytics queries. Comparing a 4-node Citus database cluster to a single Postgres node (both in the cloud), this demo will show you how Citus shards Postgres to give you lightning fast performance for analytics, at scale.
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    Video bookmarks:
    ► 2:10 Why use Postgres and Citus for real-time analytics?
    ► 6:56 Demo of fast analytics queries with Postgres and Citus
    ► 18:28 Performance comparisons of Citus vs. single Postgres node
    ► 19:03 Benefits of using Citus for demanding analytics workflows
    ► 20:20 How Heap uses a 70-node Citus database cluster
    ► 22:21 How Microsoft uses Citus for Windows telemetry data and VeniceDB
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    This demo of scaling out Postgres with the Citus extension to Postgres is useful for developers building customer-facing analytics dashboards who need to ingest data in real time while delivering sub-second responses; and for teams looking for a way to consolidate database platforms, to avoid having separate data stores for your transactional (OLTP) and analytics (OLAP) workloads. Citus is also a frequent choice for SaaS companies building multi-tenant B2B applications.
    Citus is available as open source, as a fully-managed database as a service, and as enterprise software. The Citus extension to Postgres was created by the team at Citus Data, now part of the Microsoft family.
    ✅ See how enterprises and SaaS businesses use Citus for real-time analytics today:
    www.citusdata.com/customers/
    ✅ Join the Citus database community’s public slack channel:
    slack.citusdata.com/
    ✅ Star the GitHub repo for the open source Citus database:
    github.com/citusdata/citus
    ✅ Learn more about the Citus distributed database and how Citus scales out Postgres for both multi-tenant SaaS use cases and for real-time analytics workloads:
    www.citusdata.com/product
    #Postgres #PostgreSQL #CitusData
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