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.
Product | Market Share (%) |
---|---|
InfluxDB | 4.2% |
PostgreSQL | 17.1% |
Firebird SQL | 16.5% |
Other | 62.2% |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Zabbix | 4.2 | N/A | 95% | 107 interviewsAdd to research |
Datadog | 4.3 | N/A | 97% | 188 interviewsAdd to research |
Company Size | Count |
---|---|
Small Business | 2 |
Midsize Enterprise | 3 |
Large Enterprise | 5 |
Company Size | Count |
---|---|
Small Business | 97 |
Midsize Enterprise | 57 |
Large Enterprise | 221 |
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.”
ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo
Author info | Rating | Review Summary |
---|---|---|
Senior System Developer at Norled | 5.0 | We use InfluxDB as a key component in our maritime vessel data application for its reliable time-series storage and query capabilities. Although it performs well, integrating it with Azure Kubernetes for backups is challenging, and a SQL abstraction could be beneficial. |
Chief Technology Officer at Presta Agency | 5.0 | We are developing a trading agent using InfluxDB for low-latency data collection on crypto prices to support machine learning models. While its time series data handling is ideal, the deprecation of FluxQL affects its intuitive querying compared to our previous solutions, CassandraDB and ScyllaDB. |
Site Reliability Engineer(Observability) at Sapiens | 4.0 | I find InfluxDB useful for data insertion but need additional tools for alerting and visualization. Config file issues can disrupt data collection, and the agent struggles with authentication, requiring extra scripting which affects service restarts. |
Cloud and DevOps Engineer at Betaque | 3.5 | We initially used Prometheus and Grafana but switched to InfluxDB for its intuitive user interface, allowing easy customization and data visualization. However, InfluxDB's inability to provide local data backup when using its cloud service is a drawback. |
Senior DevOps at Light And Wonder | 4.0 | No summary available |
Senior Software Developer at Sherwin-Williams de Centroamérica | 5.0 | I use InfluxDB to efficiently store and manage data from production environment sensors. It's quick to operate, easy to configure, and integrates seamlessly with Grafana for visualization, effectively handling serial data communication via an OPC UA receiver. |
Senior Specialist at Qualitest | 3.5 | I'm using InfluxDB to store documents and populate data through its funnel. Its most valuable feature is the ability to integrate with other tools. However, I find the UI needs to be more user-friendly, with improved integration documentation. |
Lead Data Engineer at Chingari | 3.5 | No summary available |