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.
| Product | Market Share (%) |
|---|---|
| BigPanda | 0.9% |
| InfluxDB | 0.6% |
| Other | 98.5% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 3 |
| Large Enterprise | 6 |
BigPanda Autonomous Operations platform is a cutting-edge solution that helps IT Ops, NOC and DevOps teams detect, investigate, and resolve IT incidents faster and more easily than ever before. Powered by Open Box Machine Learning, BigPanda correlates IT noise into insights, automates incident management, and unifies fragmented IT operations.
BigPanda’s Autonomous Operations platform increases the ease with which IT administrators are able to both manage their systems and respond to issues that arise. It combines machine learning and automation, which not only provide administrators with reliable suggestions concerning future issues that may arise, but also allows for certain tasks to be assigned to the system itself. These allow organizations to save both time and resources that can be dedicated to more critical tasks.
BigPanda’s Autonomous Operations platform possesses a simplified and unified user interface, enabling users to manage the solution from one place. The UI allows users to view and manage all of the information and controls that IT teams need to be able to easily access, providing a level of visibility that ensures users will be able to view all of their system’s most up-to-date and critical information at any time that they wish.
Benefits of BigPanda Autonomous Operations Platform
Some the benefits of using BigPanda’s Autonomous Operations platform include:
Reviews from Real Users
BigPanda’s Autonomous Operations platform stands out among its competitors for a number of reasons. Two major ones are its centralized user interface and its ability to easily integrate with other security solutions. The centralized UI gives users the ability to clearly see all their alert data in a single location without having to search for it. Its easy integration allows administrators to augment their IT security capabilities when they find it necessary to do so.
PeerSpot user Larry C., the principal engineer in charge of site operations for a tech vendor, notes this benefit when he writes, "Alert aggregation was the primary requirement. BigPanda pulls all this together into a single UI for us, allowing us to see related alerts grouped together into an incident, and enables us to easily create a JIRA ticket and Slack channel to manage an issue."
Another PeerSpot user, who is an independent entrepreneur in the IT environment at a tech services company, notes the flexibility of this platform when they write “BigPanda integrates well with other solutions, such as WatchGuard.”
InfluxDB is open-source software that helps developers and enterprises alike to collect, store, process, and visualize time series data and to build next-generation applications. InfluxDB provides monitoring and insight on IoT, application, system, container, and infrastructure quickly and easily without complexities or compromises in scale, speed, or productivity.
InfluxDB has become a popular insight system for unified metrics and events enabling the most demanding SLAs. InfluxDB is used in just about every type of industry across a wide range of use cases, including network monitoring, IoT monitoring, industrial IoT, and infrastructure and application monitoring.
InfluxDB offers its users:
InfluxDB Benefits
There are several benefits to using InfluxDB . Some of the biggest advantages the solution offers include:
Reviews from Real Users
InfluxDB stands out among its competitors for a number of reasons. Two major ones are its flexible integration options and its data aggregation feature.
Shalauddin Ahamad S., a software engineer at a tech services company, notes, “The most valuable features are aggregating the data and the integration with Grafana for monitoring.”
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