Software Alternatives, Accelerators & Startups

Google Cloud Datastore VS Grafana

Compare Google Cloud Datastore VS Grafana and see what are their differences

Google Cloud Datastore logo Google Cloud Datastore

Cloud Datastore is a NoSQL database for your web and mobile applications.

Grafana logo Grafana

Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
  • Google Cloud Datastore Landing page
    Landing page //
    2023-09-12
  • Grafana Landing page
    Landing page //
    2023-10-21

Grafana

$ Details
Release Date
2014 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Anthony Woods
Employees
100 - 249

Google Cloud Datastore videos

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Grafana videos

Grafana vs Kibana | Beautiful data graphs and log analysis systems

More videos:

  • Review - Business Dashboards with Grafana and MySQL
  • Review - Grafana Labs 2019 Year in Review

Category Popularity

0-100% (relative to Google Cloud Datastore and Grafana)
Databases
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Datastore and Grafana

Google Cloud Datastore Reviews

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Grafana Reviews

Top 10 Grafana Alternatives in 2024
Middleware is one such Grafana alternative that offers robust data monitoring and visualization capabilities at affordable prices. Though it’s commercial, unlike Grafana, its rich feature set ensures accommodating your present and future business needs.
Source: middleware.io
Top 11 Grafana Alternatives & Competitors [2024]
Are you looking for Grafana alternatives? Then you have come to the right place. Grafana started as a data visualization tool. It slowly evolved into a tool that can take data from multiple data sources for visualization. For observability, Grafana offers the LGTM stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). You need to configure...
Source: signoz.io
10 Best Grafana Alternatives [2023 Comparison]
For this reason, many have set out in search of Grafana alternatives. Since you’ve landed yourself here, I’m guessing that you’re one of those people. Fear not! We’ve put together a comprehensive list of the 10 best Grafana alternatives out there today.
Source: sematext.com
Top 10 Tableau Open Source Alternatives: A Comprehensive List
When it comes to visualization, Grafana is a great tool for visualizing time series data with support for various databases including Prometheus, InfluxDB, and Graphite. It is also compatible with relational databases such as MySQL and Microsoft SQL Server. While Tableau can do the same thing, Grafana’s open-source status allows the users to add additional data sources and...
Source: hevodata.com
13 tools to use for DevSecOps automation
🔓Grafana is a multi-platform open source analytics and interactive visualization web application that provides charts, graphs, and alerts for the web when connected to supported data sources. Use the Grafana node to manage your dashboards, teams, and users.
Source: n8n.io

Social recommendations and mentions

Based on our record, Grafana seems to be a lot more popular than Google Cloud Datastore. While we know about 200 links to Grafana, we've tracked only 7 mentions of Google Cloud Datastore. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud Datastore mentions (7)

  • Using Google Cloud Firestore with Django's ORM
    A long time ago, a fork of Django called “Django-nonrel” experimented with the idea of using Django’s ORM with a non-relational database; what was then called the App Engine Datastore, but is now known as Google Cloud Datastore (or technically, Google Cloud Firestore in Datastore Mode). Since then a more recent project called "django-gcloud-connectors" has been developed by Potato to allow seamless ORM integration... - Source: dev.to / about 1 month ago
  • How to deploy flask app with sqlite on google cloud ?
    In that case use Cloud Datastore (aka Firestore in Datastore Mode). It's a NoSQL db that was initially targeted just for GAE (you needed to have a GAE App even if empty to use it) but that requirement has been relaxed. Source: about 1 year ago
  • Is Cloud Run a good choice for a portfolio website?
    As u/SierraBravoLima said - If you don't really need containerization, you can go with Google App Engine (Standard). If you need to store data, GAE will work with cloud datastore which has a large enough free tier. Source: about 2 years ago
  • Help! Difference between native and datastore
    Datastore mode had its start in App Engine's early days (launched in 2008), where its Datastore was the original scalable NoSQL database provided for all App Engine apps. In 2013, Datastore was made available all developers outside of App Engine, and "re-launched" as Cloud Datastore. In 2014, Google acquired Firebase for its RTDB (real-time database). Both teams worked together for the next 4 years, and in 2017,... Source: over 2 years ago
  • I'm a dev ID 10 T please help me
    Database: datastore should be very cheap, or you could just output as csv text and copy into Google Sheets (free!). Source: over 2 years ago
View more

Grafana mentions (200)

  • Best Practices for Building Microservices with NestJS
    Implement health checks and monitoring to ensure the availability and performance of your microservices. Use tools like Prometheus, Grafana, or NestJS built-in health checks. - Source: dev.to / 16 days ago
  • Using Cloud Monitoring to Monitor IRIS-Based Applications Deployed in GKE
    In this article, we’ll look at one of the ways to monitor the InterSystems IRIS data platform (IRIS) deployed in the Google Kubernetes Engine (GKE). The GKE integrates easily with Cloud Monitoring, simplifying our task. As a bonus, the article shows how to display metrics from Cloud Monitoring in Grafana. - Source: dev.to / 29 days ago
  • Kubernetes for Beginners
    Kubernetes Documentation: https://kubernetes.io/docs/home/ Kubernetes Tutorials: https://kubernetes.io/docs/tutorials/ Kubernetes Community: https://kubernetes.io/community/ Prometheus: https://prometheus.io/ Grafana: https://grafana.com/ Elasticsearch: https://www.elastic.co/elasticsearch/ Kibana: https://www.elastic.co/kibana Helm: https://helm.sh/ Prometheus Helm Chart:... - Source: dev.to / about 1 month ago
  • Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
    Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within... - Source: dev.to / 3 months ago
  • Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
    To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing Google Cloud Datastore and Grafana, you can also consider the following products

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

Prometheus - An open-source systems monitoring and alerting toolkit.

Objective ECM - Objective ECM is a secure and reliable Enterprise Content Management software that empowers users to manage their content and build powerful business processes.

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Datomic - The fully transactional, cloud-ready, distributed database

Zabbix - Track, record, alert and visualize performance and availability of IT resources