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

Informatica vs Morpheus

OverviewComparisonAlternatives

Overview

Morpheus
Morpheus
Stacks31
Followers66
Votes18
Informatica
Informatica
Stacks14
Followers2
Votes0

Informatica vs Morpheus: What are the differences?

What is 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.

What is Morpheus? Orchestrate, Automate, and Manage Across Any Cloud. Morpheus is a cloud application management and orchestration platform that works on any cloud or infrastructure, from AWS to bare metal. Enjoy complete cloud freedom with Morpheus.

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

Some of the features offered by Informatica are:

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

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

  • Provisioning - Intuitive UI lets you provision databases, apps, and app stack components on any server or cloud — on-premise, private, public, or hybrid — within seconds. Provisioning is performed asynchronously, allowing multiple IT systems to be provisioned simultaneously.
  • Rapid Implementation - The future is fast. That’s why a typical Morpheus installation takes just 60 minutes and requires minimal IT support. Saving you time and money, so you can focus on what truly matters to your organization.
  • Elastic Scaling & Failover - Easily manage databases and apps by adding more nodes on the web UI, CLI, or through an API call. Morpheus automatically configures the database or app cluster to accommodate these new nodes.

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Detailed Comparison

Morpheus
Morpheus
Informatica
Informatica

Morpheus is a cloud application management and orchestration platform that works on any cloud or infrastructure, from AWS to bare metal. Enjoy complete cloud freedom with Morpheus.

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

Provisioning - Intuitive UI lets you provision databases, apps, and app stack components on any server or cloud — on-premise, private, public, or hybrid — within seconds. Provisioning is performed asynchronously, allowing multiple IT systems to be provisioned simultaneously.; Rapid Implementation - The future is fast. That’s why a typical Morpheus installation takes just 60 minutes and requires minimal IT support. Saving you time and money, so you can focus on what truly matters to your organization.; Elastic Scaling & Failover - Easily manage databases and apps by adding more nodes on the web UI, CLI, or through an API call. Morpheus automatically configures the database or app cluster to accommodate these new nodes.; Logging & Monitoring - Morpheus automatically collects system, database, and application logs for all provisioned IT systems. These logs are used for faster introspection and troubleshooting. Additionally, each new provisioned system is set up automatically for uptime monitoring. Users are pro-actively alerted about performance and uptime issues.; Access & Role Management - Define different roles and access for individual users. Admins can delegate responsibility and access to different teams and individuals for specific geographic zones, server groups, individual apps, or databases.; CLI & Open API's - Open REST API's enable integration with heterogeneous systems. Advanced developers can utilize the standards-based Command Line Interface (CLI).; Backup & Recovery - Automatic backups are set up and performed on each new database or app stack component. Users have the flexibility to edit the day, time, and frequency of the backups. Admins can define the destination targets where backups are stored (either local storage or cloud), eliminating the need for writing custom cron jobs.;
Business Users on Data Analyst and Metadata management; Improved Administrator experience; Build in Intelligence to improve performance.
Statistics
Stacks
31
Stacks
14
Followers
66
Followers
2
Votes
18
Votes
0
Pros & Cons
Pros
  • 2
    Easy to deploy and use
  • 1
    Hybrid Cloud Management
  • 1
    Life cycle management
  • 1
    App provisioning
  • 1
    UI, API and CLI
No community feedback yet
Integrations
DigitalOcean
DigitalOcean
Google Compute Engine
Google Compute Engine
OpenStack
OpenStack
Amazon EC2
Amazon EC2
SoftLayer
SoftLayer
Microsoft Azure
Microsoft Azure
Amazon CloudFront
Amazon CloudFront
Amazon Redshift
Amazon Redshift
Amazon RDS
Amazon RDS
AWS CloudTrail
AWS CloudTrail

What are some alternatives to Morpheus, 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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