How to Build Your Own InfluxDB Cloud
Replace InfluxDB Cloud with a custom build. Collect, store, and analyze all time series data in a fully managed database
Build Difficulty: 4/5
A few focused days to build a solid replacement
Estimated Timeline
Based on 18 features at Few Days difficulty, expect about 3-5 days with AI-assisted development.
Recommended Tech Stack
Full-stack React framework with API routes and server components
PostgreSQL database, auth, and real-time subscriptions
Utility-first styling for rapid UI development
Key Features to Replicate
Top features across 8 categories. See all 18 features
Performance(4 features)
Provides 100x faster queries for high cardinality data compared to InfluxDB Open Source
Provides 45x better write throughput compared to InfluxDB Open Source
Delivers 45x faster queries for recent data compared to InfluxDB Open Source
Work with leading-edge data by keeping live and recently queried data in hot storage tier, built using Apache Arrow, an in-memory columnar format optimized for speed
Developer Tools(2 features)
Access InfluxDB Cloud via powerful client libraries for Arduino, C#, Go, Java, JavaScript, Kotlin, Node.js, PHP, Python, R, Ruby, Scala, and Swift
Programmatic access to InfluxDB Cloud through a robust set of APIs common across InfluxDB Open Source and Cloud allowing code to run locally or against the database as a service
Integration(2 features)
Connect to Google Data Studio and other BI or data warehouses with open source ODBC and JDBC plugins based on Flight SQL
Interoperable with data ecosystems using Apache Parquet, an open data interchange format allowing use of data science tools to operate directly on Parquet files for machine learning or analytical tasks
Query(2 features)
Explore and analyze data using SQL and community-driven Apache Arrow Flight SQL-compatible libraries
Easy learning curve with native SQL support for queries with an intuitive visual script editor that provides multiple ways to build and write SQL
Scalability(2 features)
InfluxDB Cloud Serverless provides automatic, elastic scaling that adjusts resources based on demand
Ingest high volume and high cardinality data without impacting performance and continuously ingest, transform, and analyze hundreds of millions of time series data points per second
Cost Optimization(1 features)
Achieves 90% reduction in storage costs compared to InfluxDB Open Source
Data Collection(1 features)
Uses Telegraf, a plugin-driven server agent with over 300 plugins written in Go, to collect time series data from databases, applications, systems, and IoT sensors with minimal memory footprint
Data Management(1 features)
Collect, analyze, and store metric, event, and tracing data to open new use cases and simplify data pipelines
Cost Calculator
Pricing data not available for InfluxDB Cloud. Check their website for current pricing.