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  5. DeadManCheck — Cron Job Monitoring vs VictoriaMetrics DB

DeadManCheck — Cron Job Monitoring vs VictoriaMetrics DB

OverviewComparisonAlternatives

Overview

VictoriaMetrics DB
VictoriaMetrics DB
Stacks37
Followers23
Votes0
GitHub Stars15.3K
Forks1.5K
DeadManCheck — Cron Job Monitoring
DeadManCheck — Cron Job Monitoring
Stacks0
Followers1
Votes1

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Detailed Comparison

VictoriaMetrics DB
VictoriaMetrics DB
DeadManCheck — Cron Job Monitoring
DeadManCheck — Cron Job Monitoring

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.

Know the moment your scheduled jobs fail or run too long. Open source cron job monitoring with duration anomaly detection.

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
Cron job monitoring, Long-running job detection, Output assertions, Backup monitoring, ETL job monitoring
Statistics
GitHub Stars
15.3K
GitHub Stars
-
GitHub Forks
1.5K
GitHub Forks
-
Stacks
37
Stacks
0
Followers
23
Followers
1
Votes
0
Votes
1

What are some alternatives to VictoriaMetrics DB, DeadManCheck — Cron Job Monitoring?

MongoDB

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

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

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

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

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

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

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

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

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.

Sidekiq

Sidekiq

Sidekiq uses threads to handle many jobs at the same time in the same process. It does not require Rails but will integrate tightly with Rails 3/4 to make background processing dead simple.

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