InfluxDB is a popular open‑source time‑series database designed for high‑write loads, real‑time analytics, and long‑term storage. Below is a curated list of 20 alternative platforms that can serve similar backend and database needs, ranging from purpose‑built time‑series solutions to general‑purpose databases with strong time‑series capabilities.
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PostgreSQL extension that adds native time‑series support, hypertables, and powerful SQL queries for analytics.
Open‑source monitoring system with a multidimensional data model, powerful query language (PromQL), and built‑in alerting.
High‑performance, horizontally scalable time‑series database compatible with Prometheus remote‑write and Graphite protocols.
Distributed, scalable time‑series database built on top of HBase, supporting massive data volumes and complex queries.
Relational database optimized for time‑series workloads with SQL support, zero‑GC architecture, and high ingest rates.
Column‑oriented OLAP database offering fast analytical queries on large datasets, increasingly used for time‑series data.
Real‑time analytics data store designed for fast slice‑and‑dice queries on event streams and time‑series data.
Distributed SQL database that combines relational and NoSQL features, with built‑in time‑series functions.
Highly available, horizontally scalable NoSQL store; often paired with time‑series data models for durability.
Document‑oriented database offering flexible schema and time‑series collections (since v5.0) for IoT and telemetry.
Robust relational database; with extensions like pg_partman and native partitioning it can efficiently handle time‑series workloads.
Widely used relational DB; recent versions support generated columns and partitioning useful for time‑series data.
Search‑engine based datastore with powerful full‑text and aggregation capabilities, often used for log and metric time‑series.
Legacy monitoring system with a simple time‑series storage backend and rich visualization via Grafana.
Distributed time‑series database built by Uber, offering high ingestion rates and Prometheus compatibility.
Fully managed serverless time‑series database on AWS, optimized for IoT and operational telemetry.
Fast, fully managed analytics service for large‑scale telemetry and log data, with a powerful query language.
High‑performance columnar database used in finance for massive time‑series analytics, featuring q language.
Distributed NoSQL database specifically designed for time‑series data with high write throughput and fault tolerance.
Facebook’s open‑source time‑series storage engine built for high‑frequency metrics with low latency reads.