InfluxDB for InfluxDB for Telecommunications
Discover how telecommunications organizations use InfluxDB to gain real-time insights into satellites, networks, and infrastructure.
#1
Time Series Database
Source: DB Engines
1B+
Downloads of InfluxDB
Take the complexity out of time series data management
Try InfluxDBTurn high-volume, high-velocity, high-resolution time series data into actionable intelligence without sacrificing performance.
Get high-speed ingestion, real-time querying, and seamless scalability in a highly performant time series database that can handle unlimited volumes of time series data, even as data complexity and cardinality increases.
Run InfluxDB at scale in any environment in the cloud, on-premises, or at the edge. InfluxDB consists of the core database and storage engine, an API, and an ecosystem of tools and integrations to manage time-stamped data. Easily integrate with 5K+ prebuilt connections using Telegraf, our open source agent with 5B+ downloads.
Run InfluxDB 3 where you need it
Start for free, scale in seconds
Start NowFor small workloads and getting started
Deploy anywhere: on-prem, private cloud, edge, or multi-tenant cloud.
Secure, dedicated cloud infrastructure
Run a Proof of ConceptFor scaled workloads
Fully-managed, single-tenant service with unlimited scale, high availability, secure private connections, and enhanced Support.
Own your data with enterprise features
Run a Proof of ConceptFor scaled workloads
Control your infrastructure with unlimited scale, high availability, enterprise-grade security, and enhanced Support. On-prem, private cloud, and edge deployment.
Why InfluxDB
Limitless data collection
Ingest and analyze millions of time series data points per second without limits or caps.
Predict and prevent
Maximize uptime and prevent costly failures with real-time monitoring and preventative insights.
Real-time query
Data is immediately available for querying in InfluxDB, enabling real-time SQL queries and lightning-fast responses.
Why use InfluxDB for Telecommunications?
Built for developers, InfluxDB is central to many telecommunication solutions providing high-throughput ingestion, compression, and real-time querying of that same data. Network engineers, DevOps engineers, and SREs use InfluxDB to collect telemetry and system data used that improves uptime, performance, and reliability.
Use InfluxDB as a central platform for integrating and monitoring all metrics, events, logs, and tracing data.
Manage distributed networks
- Collect metrics from distributed cable modems using SNMP
- Determine the health of distributed cable modems
- Correlate all data sources to determine how service quality impacts revenue
Increase revenue
- Gain metrics from VMs and containers supporting network’s infrastructure
- Improve customer experience through better service
- Demonstrate value of service provided to clients
- Implement proactive customer service
Reduce outages
- Improve real-time alerting sent to various endpoints (i.e., email, Slack, and ServiceNow)
- Visualize outages and improve response time
- Automate workflows in operational support
- Reduce mean time to repair (MTTR)
Learn from leading telecommunications organizations how to use InfluxDB to gain visibility into applications, infrastructure, networks, and satellites. By collecting and analyzing time series data, companies are able to reduce service downtime and improve customer experience.
The top telecommunications organizations lean on InfluxDB to gain performance improvements that support SLAs and deliver on QOS commitments.
“InfluxDB has become our go-to database choice. Often if we are using a different tool, we figure out how to get data out of the tool into InfluxDB. It’s easier to use, performs better, and is cheaper.”
Jack TenchSenior Software Engineer, Vonage
Open data standards drive performance and interoperability
InfluxDB 3 is built in Rust and the FDAP stack—Flight, DataFusion, Arrow, and Parquet—leveraging Apache-backed technologies to efficiently ingest, store, and analyze time series data at any scale.
Get InfluxDBF
Flight for efficient columnar data transfer
D
DataFusion for high-performance querying
A
Arrow for optimized in-memory columnar analytics
P
Parquet for high-compression storage
InfluxDB’s columnar database supports time series data at a lower TCO
See ways to get started
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real-time metrics with simplified deployment
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