BigPanda vs InfluxDB comparison

BigPanda and InfluxData are both solutions in the IT Infrastructure Monitoring category. BigPanda is ranked #23 with an average rating of 8.3, while InfluxData is ranked #14 with an average rating of 8.3. BigPanda holds a 0.6% mindshare in IM, compared to InfluxData’s 0.6% mindshare. Additionally, 85% of BigPanda users are willing to recommend the solution, compared to 100% of InfluxData users who would recommend it.

BigPanda

Read 20 BigPanda reviews

3,607 Views
1,912 Comparison Views

85% willing to recommend

InfluxDB

Read 20 InfluxDB reviews

5,305 Views
1,432 Comparison Views

100% willing to recommend

BigPanda

InfluxDB

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Executive SummaryUpdated on Oct 9, 2024

BigPanda and InfluxDB are products that compete in the realm of IT operations and data management. BigPanda has an advantage in incident response management, while InfluxDB has the upper hand in handling high-volume time-series data.

Features:BigPanda specializes in IT operation automation, with features like incident normalization, correlation, and automation that streamline workflows. It integrates with various monitoring tools to centralize alerts and reduce noise. The platform also provides AI-based incident intelligence to understand root causes. InfluxDB offers a high-performance time-series database with robust query capabilities for real-time analytics. It supports data retention policies to manage storage efficiently and provides a comprehensive set of tools for data visualization and alerting. InfluxDB also enables seamless integration with popular data processing platforms.

Room for Improvement:BigPanda could improve by expanding its integration capabilities to support more niche tools. Enhancing the AI-driven insights for better predictive analysis would be beneficial. The user interface could be more intuitive for new users. InfluxDB may need to streamline its scaling process to simplify managing extensive data loads. More user-friendly deployment options could be considered. Enhanced support for non-time-series data types would broaden its applicability.

Ease of Deployment and Customer Service:BigPanda typically offers seamless deployment with strong support channels, ensuring quick setup and operation. InfluxDB's deployment can be complex, especially when scaling operations, but it provides detailed documentation and community support. BigPanda focuses on supporting operational efficiency, whereas InfluxDB requires tailored efforts for data management deployment.

Pricing and ROI:BigPanda's pricing may involve higher initial costs due to its extensive automation features but offers clear ROI through improved incident management efficiency. InfluxDB's cost model targets scalable solutions, often presenting lower initial costs with favorable ROI, particularly for operations dependent on time-series data analytics. The products align costs with operational gains differently, BigPanda emphasizing automation value and InfluxDB data utility.

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

Buyer's Guide

BigPanda vs. InfluxDB

April 2026

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Review summaries and opinions

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

ROI

Sentiment score

5.5

BigPanda offers efficiency benefits for managing over 10,000 events weekly, saving time and resources compared to tools like Netcool.

Sentiment score

5.6

InfluxDB enhances efficiency with real-time monitoring automation, reducing manual work and boosting system reliability and uptime.

BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.

reviewer2691138

Technical Lead

BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.

CHANTI BANOTH

Software Engineer at Trianz

Resource count has probably reduced by about ten to twenty percent due to the reduced incident count, which enables me to identify issues faster, meaning business recovery is quicker.

KiranMs

Director Of Engineering at Broadcom Inc.

For more quotes and insights, download the BigPanda report

These improvements translated into both cost savings and better service reliability, directly impacting business outcomes.

reviewer2804886

Senior Data Engineer at a university with 201-500 employees

It simplifies processes and reduces the need for additional employees.

Mugeesh Husain

Team Lead, Software at Energybox

InfluxDB reduced my time to show data without any interruption, also reducing the number of people needed to manage the project; it is very good to have InfluxDB in my project.

Btece Lodi

Student at a educational organization with 1,001-5,000 employees

For more quotes and insights, download the InfluxDB report

Customer Service

Sentiment score

6.5

BigPanda's customer service is responsive and helpful, with noted inconsistencies like slow emails and no phone support.

Sentiment score

5.8

InfluxDB's customer service is efficient with enterprise licenses, yet response times vary; knowledgeable support aids complex issues.

If BigPanda can consistently provide such competent contacts, I would rate the support ten out of ten, otherwise, it is an eight out of ten.

Atharva Jagdale

Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees

Companies like CoreLogix, which is a log platform, achieve ten out of ten due to their responsiveness.

Michael Wenn

CEO / Co-Founder at Aiops ltd

For technical support, we have only had to address password resets and alert mismatching.

reviewer2691138

Technical Lead

For more quotes and insights, download the BigPanda report

They get on a call, resolve issues, and handle everything efficiently.

Manas Kashyap

DevOps Engineer at Elevenxcapital

The InfluxDB support team was knowledgeable and helped us troubleshoot complex problems efficiently.

reviewer2804886

Senior Data Engineer at a university with 201-500 employees

Obtaining that quantity of data directly from InfluxDB is quite challenging, and that is why we ask for help from the InfluxDB team to retrieve the data to avoid timeouts and those kinds of issues.

Mugeesh Husain

Team Lead, Software at Energybox

For more quotes and insights, download the InfluxDB report

Scalability Issues

Sentiment score

7.2

BigPanda is scalable and integrates well, although experiences vary based on configuration efforts and peak time performance.

Sentiment score

7.0

InfluxDB is valued for scalability in handling large data volumes, with enterprise features supporting extensive scale despite variable costs.

It handles large volumes of alerts without limitations.

Sneha Vigneshwari

Works

We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.

CHANTI BANOTH

Software Engineer at Trianz

I rate the scalability of BigPanda at eight.

RajneeshKumar3

Manager Observability at ICE

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The main challenge with InfluxDB, which is common with all databases, was handling very high throughput systems and high throughput message flow.

Sayak Roy

Deployment Engineer at Derq

It can handle large volumes of time-series data and with high ingestion rates, making it suitable for enterprise-scale deployments.

reviewer2804886

Senior Data Engineer at a university with 201-500 employees

We’ve scaled on volume with seven years of continuous data without performance degradation.

Henning Jansen

Senior System Developer at Norled

For more quotes and insights, download the InfluxDB report

Stability Issues

Sentiment score

7.5

BigPanda is stable with minimal downtime and effective incident management, though occasional service interruptions are promptly addressed.

Sentiment score

8.0

InfluxDB is generally stable, with some crash reports; praised support, but monitoring metrics is recommended for mission-critical use.

BigPanda is now stable.

Sneha Vigneshwari

Works

I would rate the availability of BigPanda at nine because it's almost 99.99% available.

RajneeshKumar3

Manager Observability at ICE

However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.

CHANTI BANOTH

Software Engineer at Trianz

For more quotes and insights, download the BigPanda report

It serves as the backbone of our application, and its stability is crucial.

Henning Jansen

Senior System Developer at Norled

We have used it to support mission-critical systems with continuous data ingestion and real-time analytics.

reviewer2804886

Senior Data Engineer at a university with 201-500 employees

It is very stable, with no reliability or downtime in InfluxDB.

Btece Lodi

Student at a educational organization with 1,001-5,000 employees

For more quotes and insights, download the InfluxDB report

Room For Improvement

BigPanda requires enhancements in analytics, usability, integration, UI, and cost while improving accuracy, dashboards, and multi-cloud observability.

InfluxDB should enhance its query language, scalability, documentation, and integration while improving performance, security, and pricing flexibility.

A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.

Sneha Vigneshwari

Works

It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files.

CHANTI BANOTH

Software Engineer at Trianz

If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.

Atharva Jagdale

Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees

For more quotes and insights, download the BigPanda report

InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying.

Milan Predic

Chief Technology Officer at Presta Agency

Having a SQL abstraction in InfluxDB could be beneficial, making it more accessible for teams that prefer querying with SQL-style syntax.

Henning Jansen

Senior System Developer at Norled

It could include automated backup and a monitoring solution for InfluxDB or a script developed by a REST API.

reviewer2778060

Network engineer at a energy/utilities company with 10,001+ employees

For more quotes and insights, download the InfluxDB report

Setup Cost

BigPanda offers cost-effective pricing at $200,000 annually, providing flexibility and competitive advantages for high-growth companies.

InfluxDB provides cost-effective scalability for enterprises, but requires careful cost planning due to increasing subscription prices.

The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.

CHANTI BANOTH

Software Engineer at Trianz

There are indirect costs related to managing open-source products, leading to resource investment in maintaining the dashboards for these capabilities.

KiranMs

Director Of Engineering at Broadcom Inc.

For more quotes and insights, download the BigPanda report

We use the open-source version of InfluxDB, so it is free.

Henning Jansen

Senior System Developer at Norled

I find the cloud version pricing of InfluxDB reasonable, and for the on-premises solution we use in our service, we need to purchase licenses.

Mugeesh Husain

Team Lead, Software at Energybox

Pricing is based on data volume, retention, and features, which really makes it scalable but requires careful planning to avoid unexpected costs.

reviewer2804886

Senior Data Engineer at a university with 201-500 employees

For more quotes and insights, download the InfluxDB report

Valuable Features

BigPanda streamlines incident management with AI-driven alert deduplication, offering seamless integration and enhancing real-time incident resolution.

InfluxDB excels in fast writes, real-time analytics, seamless integration, scalability, and ease of use, enhancing organizational decision-making.

Its automation has significantly improved incident response times, reducing the process to within one minute.

Sneha Vigneshwari

Works

It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.

RajneeshKumar3

Manager Observability at ICE

BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.

reviewer2691138

Technical Lead

For more quotes and insights, download the BigPanda report

The most important feature for us is low latency, which is crucial in building a high-performance engine for day trading.

Milan Predic

Chief Technology Officer at Presta Agency

InfluxDB’s core functionality is crucial as it allows us to store our data and execute queries with excellent response times.

Henning Jansen

Senior System Developer at Norled

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.

reviewer2761710

Solutions Engineer at a tech vendor with 51-200 employees

For more quotes and insights, download the InfluxDB report

Categories and Ranking

BigPanda

Ranking in IT Infrastructure Monitoring

23rd

Average Rating

7.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

IT Alerting and Incident Management (10th), AIOps (9th)

InfluxDB

Ranking in IT Infrastructure Monitoring

14th

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 (13th), NoSQL Databases (6th)

Mindshare comparison

As of May 2026, in the IT Infrastructure Monitoring category, the mindshare of BigPanda is 0.6%, down from 0.9% compared to the previous year. The mindshare of InfluxDB is 0.6%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Mindshare Distribution
Product	Mindshare (%)
InfluxDB	0.6%
BigPanda	0.6%
Other	98.8%

IT Infrastructure Monitoring

Featured Reviews

Michael Wenn

CEO / Co-Founder at Aiops ltd

Automated incident workflows have reduced alert noise and now improve response efficiency

In my opinion, the best feature of BigPanda is its speed in terms of deployment. It has very strong integration with all of the major platforms and workflows that organizations need. The biggest customers are enterprises like HSBC and Barclays. Implementing something effective for them that dramatically reduces meantime to repair and the number of incidents is substantially difficult, as projects can often extend three years with very small results. BigPanda is different; it is a tool relied on by many enterprises, fitting over existing toolsets rather than trying to replace them, which makes it non-competitive to many existing alerts and monitoring tools. It enhances existing systems to provide actionable intelligence for business solutions.

Read full review

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.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Manufacturing Company

Healthcare Company

Outsourcing Company

Financial Services Firm

12%

Comms Service Provider

10%

Manufacturing Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	12

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	8

Questions from the Community

Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...

See all answers

What is your experience regarding pricing and costs for BigPanda?

The pricing of BigPanda includes considerations for pricing, licensing, and setup costs of the solution.

See all answers

What needs improvement with BigPanda?

There is room for improvement in BigPanda, and I believe they are fixing this. Agentic operations exist in these types of tools, and companies are catching up. Logic Monitor has a slightly differen...

See all answers

What needs improvement with InfluxDB?

InfluxDB can be improved by addressing issues such as performance drops, queries being more difficult to understand, and its high memory usage. InfluxDB is not suitable for relational databases lik...

See all answers

What is your primary use case for InfluxDB?

My main use case for InfluxDB is storing a time series database and analyzing data changes over time. I use InfluxDB to store my infrastructure and application metrics, logs, events, and data, and ...

See all answers

What advice do you have for others considering InfluxDB?

I would advise others looking into using InfluxDB that if they want to store a time series database for monitoring, logging, and event-based tasks, and also want long-term retention of the database...

See all answers

Comparisons

PagerDuty Operations Cloud vs BigPanda

Compared 13% of the time

Moogsoft vs BigPanda

Compared 8% of the time

Splunk ITSI (IT Service Intelligence) vs BigPanda

Compared 6% of the time

ServiceNow vs BigPanda

Compared 5% of the time

Dynatrace vs BigPanda

Compared 5% of the time

More BigPanda Competitors

SQLite vs InfluxDB

Compared 7% of the time

MongoDB Enterprise Advanced vs InfluxDB

Compared 7% of the time

PostgreSQL vs InfluxDB

Compared 7% of the time

ClickHouse vs InfluxDB

Compared 6% of the time

MySQL vs InfluxDB

Compared 6% of the time

More InfluxDB Competitors

Product Reports

Buyer's Guide

BigPanda

May 2026

Download BigPanda product report

Buyer's Guide

InfluxDB

May 2026

Download InfluxDB product report

Overview

BigPanda enhances incident management through root cause analysis, alert deduplication, and event correlation. The AI-driven platform is designed for environments with high alert volumes, providing insights for data-driven decisions and seamless integration with tools like ServiceNow and Teams.

BigPanda addresses the complexities of incident management by offering an AI-focused approach to anomaly detection. Automation improves response times, while unified analytics supports informed decision-making. Despite AI integration and usability needing enhancement, the platform simplifies observability and ticketing through integrations with New Relic and Slack. Features like enrichment mapping and unified search improve functionality, though reporting and visualization aspects require development.

What are the key features of BigPanda?

Root Cause Analysis: Efficient identification of the sources of incidents.
Alert Deduplication: Reduces alert noise by consolidating duplicates.
Event Correlation: Connects related alerts for easier incident management.
Automation: Streamlines processes for faster response times.
Seamless Integration: Connects with tools like ServiceNow and Teams.

What benefits or ROI can users find in reviews?

Increased Efficiency: Automates incident management tasks.
Operational Insights: Provides valuable analytics for strategic decisions.
Improved Collaboration: Integrates notifications with Slack and other platforms.
Reduced Alert Fatigue: Deduplication and suppression improve focus on critical issues.

BigPanda is widely implemented in industries focusing on observability and predictive analysis, providing efficient alert processing and incident management. Users utilize its capabilities to seamlessly integrate with solutions like Dynatrace, particularly in environments that handle high volumes of alerts, ensuring effective notification delivery through various platforms.

BigPanda

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

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process

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

Buyer's Guide

BigPanda vs. InfluxDB

April 2026

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