InfluxDB vs PuppyGraph comparison

Why PeerSpot?

InfluxData and PuppyGraph are both solutions in the NoSQL Databases category. InfluxData is ranked #7 with an average rating of 8.1, while PuppyGraph is ranked #23 with an average rating of 7.0. InfluxData holds a 5.1% mindshare in ND, compared to PuppyGraph’s 0.1% mindshare. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 100% of PuppyGraph users who would recommend it.

InfluxDB

Read 20 InfluxDB reviews

8,832 Views
1,943 Comparison Views

100% willing to recommend

PuppyGraph

Read 2 PuppyGraph reviews

3,314 Views
0 Comparison Views

100% willing to recommend

InfluxDB

PuppyGraph

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between InfluxDB and PuppyGraph based on real PeerSpot user reviews.

Find out in this report how the two NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed InfluxDB vs. PuppyGraph Report (Updated: November 2026).

Buyer's Guide

InfluxDB vs. PuppyGraph

November 2026

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Helped 921,523 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

InfluxDB

Ranking in NoSQL Databases

7th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Non-Relational Databases (1st), Open Source Databases (7th), Network Monitoring Software (16th), IT Infrastructure Monitoring (14th)

PuppyGraph

Ranking in NoSQL Databases

23rd

Average Rating

8.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the NoSQL Databases category, the mindshare of InfluxDB is 5.1%, down from 6.7% compared to the previous year. The mindshare of PuppyGraph is 0.1%. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
InfluxDB	5.1%
PuppyGraph	0.1%
Other	94.8%

NoSQL Databases

Featured Reviews

Mugeesh Husain

Team Lead, Software at Energybox

Time series data has been managed efficiently for IoT sensors but reporting still needs improvement

How InfluxDB can be improved is relevant since for Energy Box, we face certain issues. We have customers worldwide, including the United States, United Kingdom, and Europe, but when we expanded to China two years ago, they indicated that they do not support the cloud version there. Our application is built on the cloud, which required us to create a separate application for Azure China, which was painful for us. The second issue involves frequent version changes. For example, we started with version one, transitioned to version two, and I heard they are considering InfluxDB version three, reverting to earlier practices. InfluxDB should improve without completely changing its approach. Now we have to redo our work for InfluxDB version three. Regarding needed improvements, the documentation is sufficient, but pricing presents a challenge. InfluxDB has standard pricing, which is acceptable for large companies. However, for startups in our position, they should provide special discounts so everyone can utilize it. The pricing should adapt as companies grow, which is a reasonable expectation.

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Gurmeet K.

Senior Product Manager at a computer software company with 11-50 employees

Unified graph querying has driven deep multi-hop reasoning and transformed data governance

There are multiple features of PuppyGraph that I personally love. One of them is zero-ETL graph querying, which helps us connect with our data warehouses easily and link via dynamic JSON graph schemas. This enables us to explore relational tables, nodes, and edges in under seven minutes, which previously took three and a half hours, so it is a great reduction. I also love the massive distributed graph scalability. The distributed vectorized compute engine helps us auto-shard queries across nodes and consistently execute 10-hop traversals across multi-billion edge data sets in under two seconds. Additionally, I appreciate the unified single source of truth. It helps us commit to the underlying tables, and those commits are immediately queryable in the graph layer within zero seconds of ETL replication lag. This ensures that our AI agents never reason over stale data and always access the latest data without any lag or changes left. The governance and security of PuppyGraph are very good, and I would rate it 10 out of 10 in that aspect. PuppyGraph's governance and security features have helped our organization, as it queries lakehouse tables directly where they originate. This delivers an exceptional governance posture for our enterprise applications with the help of inherent source-level governance and ABAC, which has supported the existing row-level security while helping us implement RBAC and column masking policies. It stabilizes operations inside Snowflake in our data warehouses and has achieved 100% policy consistency with zero security drift. The accuracy and reliability of PuppyGraph's output are really great.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It helps me maintain my solution easily because it is very reliable, so we didn't face any performance issues or crashes regarding our queries; we can get the results very fast."

"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."

"Because of reduced downtime, we benefit greatly from receiving alerts in advance."

"The solution is very powerful."

"Prior to InfluxDB usage, real-time data was not visualized and monitored, and after the introduction of InfluxDB in the entire framework, the organization is benefiting a lot in terms of monitoring and understanding performance data in real-time."

"While I would rate InfluxDB a ten on a scale of one to ten, users should be thoughtful about matching the engine to their specific needs."

"Overall, InfluxDB delivered excellent performance, stability, and simplicity for telemetry-driven use cases."

"InfluxDB is a database where you can insert data. However, it would be best if you had different components for alerting, data sending, and visualization. You need to install tools to collect data from servers. It must be installed on Windows or Linux servers. During installation, ensure that the configuration file is correct to prevent issues. Once data is collected, it can be sent to InfluxDB. For visualization, you can use open-source tools like Grafana."

More InfluxDB pros

"PuppyGraph is the best answer."

"PuppyGraph has positively impacted our organization by driving transformative capital efficiency across our pipeline infrastructure, our storage footprint, and our product delivery."

Cons

"In terms of features that I would like to see or have, in the community version, some features are not available. I would like to have clustering and authentication in the community version."

"InfluxDB can be improved in several ways. The Flux query language needs to be learned, but if there were something similar to SQL or previous options, it would be much easier for users without imposing a learning curve."

"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."

"InfluxDB cannot be used for high-cardinality data. It's also difficult and time-consuming to write queries, and there are some issues with bulk API."

"If it gets a little bit more into the metric side, then it would really be great, similar to Prometheus."

"The interface of InfluxDB is so complex and should be made easier for non-technical people."

"I chose an 8 out of 10 because there is room for improvement, such as regarding backups and enhanced security through other types of authentication or encrypted data in TLS."

"However, I cannot ignore the challenges I faced while configuring the database with my message brokers, whether Rabbit or Kafka, because the documentation is not properly provided."

More InfluxDB cons

"PuppyGraph is not a long-term solution as it is a virtual graph. Eventually, after we get the model right, we needed to move to Memgraph, another graph database."

Pricing and Cost Advice

"We are using the open-source version of InfluxDB."

"The tool is an open-source product."

"InfluxDB is open-source, but there are additional costs for scaling."

Information not available

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Top Industries

By visitors reading reviews

Comms Service Provider

12%

Manufacturing Company

10%

Financial Services Firm

10%

Outsourcing Company

10%

Construction Company

26%

Insurance Company

24%

Comms Service Provider

12%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	9

No data available

Questions from the Community

What needs improvement with InfluxDB?

If the dashboarding facility can be improved in terms of the visualization parameters and the amount of support available from the community, as well as having smarter alerts to send those alerts t...

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What is your primary use case for InfluxDB?

My main use case for InfluxDB is to inject all my performance data and visualize it as a data source into Grafana. My data comes from JMeter from a plugin, which is inserting data to InfluxDB, and ...

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What advice do you have for others considering InfluxDB?

It is good to start with InfluxDB to stabilize your data, visualize your data, and have the data stored on a time-series basis. I would recommend everyone to get into InfluxDB and start using it. T...

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What needs improvement with PuppyGraph?

PuppyGraph is a virtual graph and not a real graph data model. However, at some point in time, once we freeze this as the graph and the graph data model, we would like to extend to a proper graph, ...

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What is your primary use case for PuppyGraph?

The main use case for PuppyGraph is establishing a graph data model layer on top of our existing systems. We do not want to bring in a new product which is completely graph-oriented, mainly because...

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What advice do you have for others considering PuppyGraph?

There are no concrete recommendations. The important thing is that if they have to choose PuppyGraph, they need to have the clarity that PuppyGraph is not a long-term solution. Only if they have a ...

See all answers

Comparisons

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Compared 5% of the time

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Compared 4% of the time

VictoriaMetrics vs InfluxDB

Compared 4% of the time

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Compared 21% of the time

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Compared 17% of the time

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Compared 16% of the time

Iron Fort HIPAA Compliance Platform vs PuppyGraph

Compared 10% of the time

ArangoGraph vs PuppyGraph

Compared 8% of the time

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Product Reports

Buyer's Guide

InfluxDB

October 2026

Download InfluxDB product report

Buyer's Guide

NoSQL Databases

October 2026

Download PuppyGraph product report

Overview

InfluxDB offers efficient time series data handling with fast writes, optimized storage, and seamless Grafana integration, making it ideal for high-volume applications like crypto trading and real-time monitoring. Its SQL-like query language and cloud-based options enhance user experience and system scalability.

InfluxDB stands out with its ability to handle high-volume time series data efficiently, thanks to fast data writes and efficient compression. It is highly scalable, providing clustering features for improved performance management. Integration with Grafana enhances visualization, making it easier to analyze complex data through a user-friendly SQL-like query language. Real-time monitoring, historical data access, and proactive alerts enhance system reliability. Its cloud offering simplifies maintenance and operations, making it attractive for users seeking an efficient time series database.

What are the key features of InfluxDB?

Fast Data Writes: Ensures quick data handling necessary for real-time applications.
Optimized Storage: Reduces space requirements and improves performance.
Efficient Compression: Supports high-volume data like time series, enhancing throughput.
Grafana Integration: Supports seamless visualization and analysis of data.
SQL-like Query Language: Simplifies complex data operations with user-friendly queries.

What benefits or ROI can users expect?

Enhanced Performance: Fast processing and optimized storage for better application responsiveness.
Scalability: Clustering features ensure adaptability to growing data volumes.
Improved Reliability: Proactive alerts and real-time monitoring prevent system downtimes.
Ease of Use: SQL-like language and intuitive visuals improve user accessibility.

InfluxDB is applied extensively in industries handling high-volume data needs. For sensor data storage in production environments, it offers reliable performance. Its role in server management metrics and performance monitoring is crucial for maintaining optimal operations. In crypto market data collection, it supports fast-paced trading environments. Industries use it for real-time tracking, like maritime vessel monitoring, leveraging its rapid data handling and visualization capabilities. Its applications also extend to IoT environments, API performance tracking, HVAC systems, and log aggregation, often integrating with Prometheus, Docker, and AWS to enhance system capabilities.

InfluxData

PuppyGraph is a dynamic tool designed to enhance data visualization capabilities, empowering users with robust features that make data analysis accessible and efficient. Ideal for tech-savvy audiences, it seamlessly integrates into diverse workflows, addressing both ease of use and performance requirements.

PuppyGraph provides an intuitive platform aimed at transforming complex data sets into comprehensive visual formats. It supports a wide range of data inputs, ensuring compatibility and flexibility. With its focus on enhancing interpretability, it allows users to generate real-time insights that drive informed decision-making processes across industries.

What are the key features of PuppyGraph?

Customizable Dashboards: Design personalized data displays for user-specific insights.
Real-time Data Processing: Experience up-to-the-minute data updates for timely analysis.
Integration Capabilities: Seamlessly connect with external data sources for a cohesive data strategy.
Advanced Analytics Tools: Harness sophisticated tools for in-depth data exploration.

What benefits and ROI should users consider?

Improved Efficiency: Streamlined data processes save time and resources.
Enhanced Decision-Making: Data-driven insights support strategic planning and actions.
Scalability: Adaptability to growing data demands ensures long-term utility.
Cost-Effectiveness: Optimized features result in financial savings across operations.

In industries like finance and healthcare, PuppyGraph's capabilities facilitate secure and detailed data visualization, essential for regulatory and analytical tasks. Retailers leverage its real-time data updates to fine-tune inventory strategies, whereas tech firms use advanced analytics to enter new markets and innovate without risk.

PuppyGraph

Sample Customers

ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo

Information Not Available

Buyer's Guide

InfluxDB vs. PuppyGraph

November 2026

Free Report: InfluxDB vs. PuppyGraph

Find out what your peers are saying about InfluxDB vs. PuppyGraph and other solutions. Updated: November 2026.

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