NGINX Amplify vs VictoriaMetrics DB
Overview
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Detailed Comparison
NGINX Amplify is a SaaS monitoring tool for NGINX. Amplify offers an easy way to implement NGINX monitoring, keep track of the infrastructure, and improve NGINX configuration by using static analyzer. | VictoriaMetrics is the company behind the open source project of the same name, which also offers an open source logs management solution. Founded in Kyiv, Ukraine, now globally led and headquartered in the US. |
NGINX monitoring made easy — start in 3 simple steps, in under 5 minutes; Metrics for NGINX, PHP-FPM, MySQL, Linux, and Docker; Extended NGINX metric collector; See NGINX connections, requests, HTTP status, response time, traffic, etc.; Build your own graphs to see metrics per virtual host, HTTP status, and URI; SLA overview page; Static analyzer for NGINX configuration; Practical advise on improving NGINX setup from the core NGINX team; Track NGINX versions and branches; Match NGINX version against the security advisories database; SSL certificate monitoring; Set up alerts for any collected metrics; Tags and aliases for hosts; Aggregate monitoring mode for Docker images | VictoriaMetrics boasts:
Highest Ingestion Rate
Fastest Query Performance
Smallest Disk Storage Size
Lowest Memory Usage
Long-term Storage for Metrics
Highly Scalable, Cloud Readiness
Simple Set-up & Operation
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Statistics | |
GitHub Stars 33 | GitHub Stars 15.3K |
GitHub Forks 11 | GitHub Forks 1.5K |
Stacks 56 | Stacks 37 |
Followers 63 | Followers 23 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
What are some alternatives to NGINX Amplify, VictoriaMetrics DB?
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
Microsoft SQL Server
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
SQLite
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Memcached
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
MariaDB
Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
Grafana
Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
RethinkDB
RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.
