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  1. Stackups
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  4. Cloud Management
  5. CopperEgg vs Informatica

CopperEgg vs Informatica

OverviewComparisonAlternatives

Overview

CopperEgg
CopperEgg
Stacks7
Followers8
Votes3
Informatica
Informatica
Stacks14
Followers2
Votes0

CopperEgg vs Informatica: What are the differences?

CopperEgg: Cloud monitoring for your servers, websites, processes, and web applications. 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; Informatica: Enterprise Cloud Data Management and Data Integration. Informatica delivers enterprise data integration and management software powering analytics for big data and cloud. Unlock data's potential.

CopperEgg and Informatica can be categorized as "Cloud Management" tools.

Some of the features offered by CopperEgg are:

  • 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.

On the other hand, Informatica provides the following key features:

  • Business Users on Data Analyst and Metadata management
  • Improved Administrator experience
  • Build in Intelligence to improve performance.

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Detailed Comparison

CopperEgg
CopperEgg
Informatica
Informatica

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
  • 2
    Easy setup and instant results
  • 1
    Value for money
No community feedback yet
Integrations
Blitz
Blitz
GitHub
GitHub
HipChat
HipChat
Campfire
Campfire
PagerDuty
PagerDuty
Amazon EC2
Amazon EC2
Rackspace Cloud Servers
Rackspace Cloud Servers
SoftLayer
SoftLayer
Linode
Linode
Chargify
Chargify
Amazon CloudFront
Amazon CloudFront
Amazon Redshift
Amazon Redshift
Amazon RDS
Amazon RDS
AWS CloudTrail
AWS CloudTrail

What are some alternatives to CopperEgg, Informatica?

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.

RethinkDB

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.

ArangoDB

ArangoDB

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.

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