Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
Continuous visibility and cloud monitoring for all your servers – hosted or private, Linux or Windows. Works great with Amazon EC2, Rackspace, or any public or private cloud. | It delivers enterprise data integration and management software powering analytics for big data and cloud. Unlock data's potential. |
Any Server – Cloud, Virtual, or Physical- Whether your servers are physical, virtual, on-premise, in the cloud, or a combination of these, get the server performance insight you need from any location. Supports Ubuntu, CentOS, Windows and many more.;CopperEgg cloud monitoring integrates with Chef and supports cloud server monitoring for CentOS, Ubuntu, Windows, RedHat, FreeBSD, MacOSX, and additional Linux varieties.;Real-Time Updates- Updates every few seconds to provide you with the ability to correct an issue before a catastrophe occurs.;Pay-Per-Usage- Spin servers up and down; you only pay for actual monitored hourly usage.;Installs in Seconds- See your server’s health immediately. Installs with a simple copy-and-paste.;Drill Down on Details- Easily drill down to high-resolution details of Processes, Disk IO, CPU and Network stats to get a closer look into server performance characteristics of the system.;Custom Alerts- Receive notifications immediately when thresholds are met with customizable alerts via email, SMS, PagerDuty or Webhooks.;Multi-User Accounts- Share RevealCloud server performance monitoring with other team members, or even provide restricted read-only views to customers.;One Year Data History- Gain in-depth insight into server health, load, performance and capacity so you can benchmark activity and uncover trends, with data history of up to one year. | Business Users on Data Analyst and Metadata management;
Improved Administrator experience;
Build in Intelligence to improve performance. |
Statistics | |
Stacks 7 | Stacks 14 |
Followers 8 | Followers 2 |
Votes 3 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |

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.

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

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.

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 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.

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.

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.

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.