Cloudera Distribution for Hadoop and InfluxDB compete in the enterprise data management and time-series database markets, respectively. Cloudera seems to have an upper hand in enterprise capabilities, while InfluxDB offers ease of use.
Features: Cloudera offers enterprise level features, including robust data security, fast processing with Impala, and comprehensive cluster management tools like Cloudera Manager. InfluxDB provides excellent time-series data handling, seamless integration with Grafana, and powerful metric aggregation capabilities.
Room for Improvement: Cloudera faces challenges with complex setups, licensing, and real-time processing speed, also needing improvements in API integration and Spark documentation. InfluxDB requires better configuration management, high availability, and enhanced query language support, along with improved tool integration and data backup solutions.
Ease of Deployment and Customer Service: Cloudera allows complex but flexible deployment across diverse environments, with mixed support experiences highlighting community reliance. InfluxDB offers efficient on-premises and cloud deployments with generally positive support, though reliance on forums and documentation is noted.
Pricing and ROI: Cloudera Distribution is typically expensive with high licensing and support costs, resulting in suitability for large enterprises needing advanced capabilities. InfluxDB is a more cost-effective open-source option, though scaling incurs additional expenses, aligning with organizations seeking cost-efficiency.
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.
The technical support is quite good and better than IBM.
The main challenge with InfluxDB, which is common with all databases, was handling very high throughput systems and high throughput message flow.
We’ve scaled on volume with seven years of continuous data without performance degradation.
InfluxDB's scalability is fine for me; I gather a lot of metrics and have not had any issues.
We faced challenges but overcame those challenges successfully.
It serves as the backbone of our application, and its stability is crucial.
After integrating Kafka, it never broke again, as Kafka handled messages and metrics appropriately, decreasing the message throughput.
It is very stable, with no reliability or downtime in InfluxDB.
Integrating with Active Directory, managing security, and configuration are the main concerns.
If better documentation were available, allowing me to find everything, including specific port numbers and procedures, it would have been much easier, and I wouldn't have had to spend time researching how to integrate InfluxDB with my Kafka producers and consumers.
Having a SQL abstraction in InfluxDB could be beneficial, making it more accessible for teams that prefer querying with SQL-style syntax.
There is room for improvement, such as regarding backups and enhanced security through other types of authentication or encrypted data in TLS.
It can be deployed on-premises, unlike competitors' cloud-only solutions.
We use the open-source version of InfluxDB, so it is free.
My experience with pricing, setup cost, and licensing for InfluxDB was great, as I did not use any license.
It is scalable, ready for vertical scaling, and very powerful, offering numerous functionalities and configurations for generative AI.
InfluxDB’s core functionality is crucial as it allows us to store our data and execute queries with excellent response times.
The most important feature for us is low latency, which is crucial in building a high-performance engine for day trading.
InfluxDB has positively impacted my organization by solving a monitoring problem that we had, coming up with a solution since we did not have any monitoring system, allowing us to build one from scratch.
| Product | Market Share (%) |
|---|---|
| InfluxDB | 6.4% |
| Cloudera Distribution for Hadoop | 3.2% |
| Other | 90.4% |
| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 9 |
| Large Enterprise | 31 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 3 |
| Large Enterprise | 8 |
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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