StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Task Scheduling
  4. Remote Server Task Execution
  5. Grafana vs Neptune.io

Grafana vs Neptune.io

OverviewDecisionsComparisonAlternatives

Overview

Neptune.io
Neptune.io
Stacks5
Followers11
Votes0
Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K

Grafana vs Neptune.io: What are the differences?

Introduction

Grafana and Neptune.io are both powerful tools used in the field of data visualization and monitoring. While they serve similar purposes, there are key differences between the two.

  1. Architecture and Purpose: Grafana is an open-source platform used for data visualization, monitoring, and analytics. It allows users to create dashboards, graphs, and alerts to visualize and analyze their data sources. On the other hand, Neptune.io is a distributed data service powered by Amazon Web Services (AWS). It is designed specifically for graph database storage and querying.

  2. Data Model: Grafana supports various data sources such as time series databases, SQL databases, and more. It can handle both structured and unstructured data. In contrast, Neptune.io is specifically designed for storing graph-structured data. It supports graph database models, where data is represented in nodes and edges, enabling complex relationships between entities.

  3. Scaling and Availability: Grafana can scale horizontally and vertically to accommodate larger amounts of data and increased user demands. It can handle high traffic and is built to be highly available. Neptune.io, being an AWS service, benefits from the scalability and availability of the underlying AWS infrastructure. It automatically replicates data across multiple availability zones and can handle millions of requests per second.

  4. Querying and Analysis: Grafana provides a flexible querying language that allows users to perform various operations on their data, including filtering, aggregation, and transformation. It supports a wide range of data visualization options and offers built-in functions for data analysis. Neptune.io, being a graph database, supports graph traversal queries that can uncover complex relationships between nodes. It allows users to perform sophisticated graph analysis and pattern matching.

  5. Community and Ecosystem: Grafana has a large and active community of users and developers. It has a wide range of plugins and integrations available, allowing users to extend its functionality. On the other hand, Neptune.io is relatively newer in the graph database space and may have a smaller community and ecosystem.

  6. Cost and Pricing Model: Grafana is open-source and free to use, with the option of purchasing commercial support. It can be self-hosted or run on cloud platforms. Neptune.io, being an AWS service, follows the pricing model of AWS. Users pay based on the amount of storage and compute resources used, along with any additional AWS service charges.

In summary, Grafana is a versatile data visualization and monitoring platform, while Neptune.io is a specialized graph database service. Grafana supports various data sources and has a wide range of features for visualization and analysis. Neptune.io, on the other hand, is specifically designed for graph database storage and querying, allowing users to uncover complex relationships in their data.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Neptune.io, Grafana

StackShare
StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments
Mat
Mat

Head of Cloud at Mats Cloud

Oct 30, 2019

Needs advice

We're looking for a Monitoring and Logging tool. It has to support AWS (mostly 100% serverless, Lambdas, SNS, SQS, API GW, CloudFront, Autora, etc.), as well as Azure and GCP (for now mostly used as pure IaaS, with a lot of cognitive services, and mostly managed DB). Hopefully, something not as expensive as Datadog or New relic, as our SRE team could support the tool inhouse. At the moment, we primarily use CloudWatch for AWS and Pandora for most on-prem.

794k views794k
Comments

Detailed Comparison

Neptune.io
Neptune.io
Grafana
Grafana

Neptune.io is a SaaS platform to automate your incident response. It integrates with your monitoring and alerting tools like NewRelic, Nagios, Pagerduty, CloudWatch etc. and lets you automate the remediation easily and much more.

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Automatically remediate simple alerts; Gather diagnostics for complex alerts; Seamless integration with monitoring and alerting tools; Light-weight GO agent for runbook execution; Secure - No SSH required to your machines; Single pane of glass your incidents from 20 different sources; Nice analytics and weekly reports around your alerts; Correlation of alerts to help resolve them quickly; Get all diagnostics and action notifications right in your Slack channel; Collaborate easily with people from different time zones;
Create, edit, save & search dashboards;Change column spans and row heights;Drag and drop panels to rearrange;Use InfluxDB or Elasticsearch as dashboard storage;Import & export dashboard (json file);Import dashboard from Graphite;Templating
Statistics
GitHub Stars
-
GitHub Stars
70.7K
GitHub Forks
-
GitHub Forks
13.1K
Stacks
5
Stacks
18.4K
Followers
11
Followers
14.6K
Votes
0
Votes
415
Pros & Cons
No community feedback yet
Pros
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
  • 34
    Nicer than the Graphite web interface
Cons
  • 1
    No interactive query builder
Integrations
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
DigitalOcean
DigitalOcean
Google Compute Engine
Google Compute Engine
Amazon Route 53
Amazon Route 53
Papertrail
Papertrail
Logentries
Logentries
New Relic
New Relic
Librato
Librato
Scout
Scout
Graphite
Graphite
InfluxDB
InfluxDB

What are some alternatives to Neptune.io, Grafana?

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

StackStorm

StackStorm

StackStorm is a platform for integration and automation across services and tools. It ties together your existing infrastructure and application environment so you can more easily automate that environment -- with a particular focus on taking actions in response to events.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana