VictoriaMetrics
Prometheus
InfluxData
TimescaleDB
Levitate By Last9
KairosDB
QuestDB
Datadog
Entity Framework
Sequelize
SQLAlchemy
Hibernate
DevExpress XPO
MyBATIS
Dapper
Hibernate ORM
VictoriaMetrics is a fast and scalable open source time series database and monitoring solution. It's designed to be user-friendly, allowing users to build a monitoring platform without scalability issues and with minimal operational burden. VictoriaMetrics is ideal for solving use cases with large amounts of time series data for IT infrastructure, APM, Kubernetes, IoT sensors, automotive vehicles, industrial telemetry, financial data, and other enterprise-level workloads. VictoriaMetrics is powered by several components, making it the perfect solution for collecting metrics (both push and pull models), running queries, and generating alerts. With VictoriaMetrics, you can store millions of data points per second on a single instance or scale to a high-load monitoring system across multiple data centers. Plus, it's designed to store 10x more data using the same compute and storage resources as existing solutions, making it a highly efficient choice. 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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VictoriaMetrics might be a bit more popular than Entity Framework. We know about 19 links to it since March 2021 and only 15 links to Entity Framework. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
VictoriaMetrics is a monitoring tool and time series database. It is open-source and has a managed version. - Source: dev.to / 9 months ago
There are many Projects like Thanos, M3, Cortex, and Victoriametrics. But Thanos is the most popular among these. Thanos addresses these issues with Prometheus and is the ideal solution for scaling Prometheus in environments with extensive metrics or multiple clusters where we require a global view of historical metrics. In this blog, we will explore the components of Thanos and will try to simplify its... - Source: dev.to / 10 months ago
Https://victoriametrics.com/ would definitely recommend anyone having performance issues with Prometheus to give VictoriaMetrics a try. - Source: Hacker News / about 1 year ago
VictoriaMetrics is primarily a time-series database designed for efficiently storing and querying time-series data. It is often used as a back-end data store for time-series data generated by monitoring systems like Prometheus. VictoriaMetrics excels at handling large volumes of time-series data, offering efficient storage and query capabilities. - Source: dev.to / over 1 year ago
Not sure I follow since there are very competitive tools written in Go such as https://victoriametrics.com for an example in this space. - Source: Hacker News / over 1 year ago
For the simplicity we will use MSSQLProvider to fetch the data from the database. This class has basic functionality, if you want to create complex database queries, for example JOIN, you'd better use something like Entity Framework. - Source: dev.to / about 1 year ago
I only wanted to give a simple preview of what can be done with Entity Framework, but if this is something that interests you and you want to go further in-depth with all the possibilities, I recommend checking out the official docs where you can also find a great tutorial which will guide you through building your very own .NET Core web application. - Source: dev.to / almost 2 years ago
Entity Framework documentation hub - Entity Framework is a modern object-relation mapper that lets you build a clean, portable, and high-level data access layer with .NET (C#) across a variety of databases, including SQL Database (on-premises and Azure), SQLite, MySQL, PostgreSQL, and Azure Cosmos DB. It supports LINQ queries, change tracking, updates, and schema migrations. Source: almost 2 years ago
You can create the DAL using your existing code or start using a Object Relational Mapper like Entity Framework which will do a lot of the work for you, check this out here: https://learn.microsoft.com/en-us/ef/ also check out LINQ. Source: about 2 years ago
And, possibly (not strictly speaking necessary but very useful) Entity framework as a backend part of it. Source: about 2 years ago
Prometheus - An open-source systems monitoring and alerting toolkit.
Sequelize - Provides access to a MySQL database by mapping database entries to objects and vice-versa.
InfluxData - Scalable datastore for metrics, events, and real-time analytics.
SQLAlchemy - SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.
Hibernate - Hibernate an open source Java persistence framework project.