GCPSteamAnalytics VS Gitkube

Compare GCPSteamAnalytics vs Gitkube and see what are their differences.

GCPSteamAnalytics

API de fuente de datos eficiente para ELT Pipeline, creada con Go. Aproveche el poder de Go con esta API de alto rendimiento para una recuperación de datos perfecta, complementando Python y otras herramientas en su proceso ELT. (by Tomas-vilte)
Golang elt Airflow ci-cd dbt gcp-api-gateway gcp-cloud-functions Terraform pyhon API
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Gitkube

Build and deploy docker images to Kubernetes using git push (by hasura)
Automation Kubernetes Git Docker continuous-deployment ci-cd K8s Golang developer-tools
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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GCPSteamAnalytics Gitkube
1 1
2 3,785
- 0.3%
9.4 0.0
5 months ago 9 months ago
Go Go
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

GCPSteamAnalytics

Posts with mentions or reviews of GCPSteamAnalytics. We have used some of these posts to build our list of alternatives and similar projects.

Gitkube

Posts with mentions or reviews of Gitkube. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-16.
  • The Journey of Adopting Cloud-Native Development
    9 projects | dev.to | 16 Jun 2022
    From a workflow perspective, developers push their code to a code repository and then manually trigger a pipeline with tools such as Gitkube or Spinnaker that deploys the code in a Kubernetes environment, usually in a remote cluster in the cloud.

What are some alternatives?

When comparing GCPSteamAnalytics and Gitkube you can also consider the following projects:

optimus - Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.

Flux - Successor: https://github.com/fluxcd/flux2

dagu - Yet another cron alternative with a Web UI, but with much more capabilities. It aims to solve greater problems.

Bazel - a fast, scalable, multi-language and extensible build system

Dataplane - Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows.

Rake - A make-like build utility for Ruby.

werf - A solution for implementing efficient and consistent software delivery to Kubernetes facilitating best practices.

pipelines - Build pipelines for automation, deployment, testing...

goflow - Simple but powerful DAG scheduler and dashboard

Copper - A configuration file validator for Kubernetes.

Glazier - A tool for automating the installation of the Microsoft Windows operating system on various device platforms.

csi-s3 - A Container Storage Interface for S3

GCPSteamAnalytics vs optimus Gitkube vs Flux GCPSteamAnalytics vs dagu Gitkube vs Bazel GCPSteamAnalytics vs Dataplane Gitkube vs Rake GCPSteamAnalytics vs werf Gitkube vs pipelines GCPSteamAnalytics vs goflow Gitkube vs Copper Gitkube vs Glazier Gitkube vs csi-s3