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  1. Stackups
  2. DevOps
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  4. Infrastructure Build Tools
  5. Informatica vs Scalr

Informatica vs Scalr

OverviewComparisonAlternatives

Overview

Scalr
Scalr
Stacks51
Followers34
Votes26
Informatica
Informatica
Stacks14
Followers2
Votes0

Informatica vs Scalr: 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 Scalr? Scalr is cloud management software for public & private infrastructure. Scalr is not an infrastructure provider or reseller. The infrastructure you deploy on is yours: you give us the keys to your infrastructure cloud so we can make the API calls to the provider on your behalf and so we can also rev up or power down servers for you. When traffic piles up, Scalr detects the increased load, commissions new servers for you from the cloud, and then spreads the load. When using Scalr ConfigTemplates, you can easily make configuration changes for services such as MySQL and Apache. Scalr does the heavy work, pushing those changes out to your servers.

Informatica and Scalr belong to "Cloud Management" category of the tech stack.

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, Scalr provides the following key features:

  • MySQL replication
  • Scalable app servers
  • Scalable database

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Detailed Comparison

Scalr
Scalr
Informatica
Informatica

Scalr is a remote state & operations backend for Terraform with access controls, policy as code, and many quality of life features.

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

Shared State File Storage & Locking; Run Triggers; Terraform CLI Integration;Version Control Integration;Identity And Access Management;Policy As Code With Open Policy Agent;Modules;Template Registry;Webhooks;Cost Estimation
Business Users on Data Analyst and Metadata management; Improved Administrator experience; Build in Intelligence to improve performance.
Statistics
Stacks
51
Stacks
14
Followers
34
Followers
2
Votes
26
Votes
0
Pros & Cons
Pros
  • 5
    Image Builder
  • 3
    Open Source
  • 3
    Auto Scaling
  • 2
    Multi-Cloud Support
  • 2
    Cost Analytics
No community feedback yet
Integrations
Azure DevOps
Azure DevOps
Terraform
Terraform
Bitbucket
Bitbucket
GitHub
GitHub
GitLab
GitLab
Amazon CloudFront
Amazon CloudFront
Amazon Redshift
Amazon Redshift
Amazon RDS
Amazon RDS
AWS CloudTrail
AWS CloudTrail

What are some alternatives to Scalr, 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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