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  1. Stackups
  2. Application & Data
  3. Cloud Hosting
  4. Cloud Management
  5. Commando.io vs Informatica

Commando.io vs Informatica

OverviewComparisonAlternatives

Overview

Commando.io
Commando.io
Stacks7
Followers15
Votes0
Informatica
Informatica
Stacks14
Followers2
Votes0

Commando.io vs Informatica: What are the differences?

Commando.io: Manage servers easily online. A simpler way to manage servers online. Commando.io empowers users to be more efficient, improve their workflow, and eliminate anxiety over server provisioning, maintenance, and deployment; 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.

Commando.io and Informatica can be primarily classified as "Cloud Management" tools.

Some of the features offered by Commando.io are:

  • Add and tag servers. Servers can be physical hardware, or virtualized/cloud instances.
  • Organize servers. You may choose to create groups based on server role or location.
  • Create recipes. Recipes are containers of commands that are fully versioned. Recipes can be written in shell, bash, perl, python, ruby, go, or node.js.

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

Commando.io
Commando.io
Informatica
Informatica

A simpler way to manage servers online. Commando.io empowers users to be more efficient, improve their workflow, and eliminate anxiety over server provisioning, maintenance, and deployment.

It delivers enterprise data integration and management software powering analytics for big data and cloud. Unlock data's potential.

Add and tag servers. Servers can be physical hardware, or virtualized/cloud instances.;Organize servers. You may choose to create groups based on server role or location.;Create recipes. Recipes are containers of commands that are fully versioned. Recipes can be written in shell, bash, perl, python, ruby, go, or node.js.;Run recipes on groups of servers and visualize results. Know who executed what, when, where, and why.;Upload files. Files is a centralized place to store text or binary files and then automatically SCP transfer them to groups of servers via recipes.
Business Users on Data Analyst and Metadata management; Improved Administrator experience; Build in Intelligence to improve performance.
Statistics
Stacks
7
Stacks
14
Followers
15
Followers
2
Votes
0
Votes
0
Integrations
Amazon EC2
Amazon EC2
DigitalOcean
DigitalOcean
New Relic
New Relic
GitHub
GitHub
Linode
Linode
Rackspace Cloud Servers
Rackspace Cloud Servers
Amazon CloudFront
Amazon CloudFront
Amazon Redshift
Amazon Redshift
Amazon RDS
Amazon RDS
AWS CloudTrail
AWS CloudTrail

What are some alternatives to Commando.io, 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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