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  1. Stackups
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  5. Amazon Redshift vs Liquibase

Amazon Redshift vs Liquibase

OverviewDecisionsComparisonAlternatives

Overview

Amazon Redshift
Amazon Redshift
Stacks1.5K
Followers1.4K
Votes108
Liquibase
Liquibase
Stacks638
Followers648
Votes70
GitHub Stars5.3K
Forks1.9K

Amazon Redshift vs Liquibase: What are the differences?

  1. Data Warehouse vs. Schema Migration Tool: Amazon Redshift is primarily used as a data warehouse service for storing and analyzing large amounts of data, while Liquibase is a tool specifically designed for managing and automating database schema changes.

  2. Functionality: Amazon Redshift focuses on providing a high-performance data warehouse solution with features such as columnar storage, data compression, and parallel query execution. On the other hand, Liquibase is focused on versioning, tracking, and applying database schema changes in a controlled and automated manner.

  3. Use Case: Amazon Redshift is ideal for organizations looking to store and analyze large volumes of data for business intelligence and data warehousing purposes. Liquibase, on the other hand, is more suited for software development teams that need to manage database schema changes in a systematic and automated way.

  4. Deployment: Amazon Redshift is a fully managed service provided by Amazon Web Services (AWS) and is deployed in the cloud. Liquibase, on the other hand, is an open-source tool that can be used with various database management systems and deployed in different environments, including on-premise and cloud.

  5. Cost: Amazon Redshift involves costs associated with the storage and computing resources used for data warehousing, while Liquibase is open-source and free to use, making it more cost-effective for managing database schema changes.

  6. Collaboration and Development: Amazon Redshift is more focused on data analytics and querying capabilities, while Liquibase provides a platform for collaborative database development and version control for database schema changes within software development teams.

In Summary, Amazon Redshift is a data warehouse service focused on high-performance analytics, while Liquibase is a database schema migration tool for managing and automating database changes in a systematic manner.

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Advice on Amazon Redshift, Liquibase

datocrats-org
datocrats-org

Jul 29, 2020

Needs adviceonAmazon EC2Amazon EC2TableauTableauPowerBIPowerBI

We need to perform ETL from several databases into a data warehouse or data lake. We want to

  • keep raw and transformed data available to users to draft their own queries efficiently
  • give users the ability to give custom permissions and SSO
  • move between open-source on-premises development and cloud-based production environments

We want to use inexpensive Amazon EC2 instances only on medium-sized data set 16GB to 32GB feeding into Tableau Server or PowerBI for reporting and data analysis purposes.

319k views319k
Comments

Detailed Comparison

Amazon Redshift
Amazon Redshift
Liquibase
Liquibase

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Optimized for Data Warehousing- It uses columnar storage, data compression, and zone maps to reduce the amount of IO needed to perform queries. Redshift has a massively parallel processing (MPP) architecture, parallelizing and distributing SQL operations to take advantage of all available resources.;Scalable- With a few clicks of the AWS Management Console or a simple API call, you can easily scale the number of nodes in your data warehouse up or down as your performance or capacity needs change.;No Up-Front Costs- You pay only for the resources you provision. You can choose On-Demand pricing with no up-front costs or long-term commitments, or obtain significantly discounted rates with Reserved Instance pricing.;Fault Tolerant- Amazon Redshift has multiple features that enhance the reliability of your data warehouse cluster. All data written to a node in your cluster is automatically replicated to other nodes within the cluster and all data is continuously backed up to Amazon S3.;SQL - Amazon Redshift is a SQL data warehouse and uses industry standard ODBC and JDBC connections and Postgres drivers.;Isolation - Amazon Redshift enables you to configure firewall rules to control network access to your data warehouse cluster.;Encryption – With just a couple of parameter settings, you can set up Amazon Redshift to use SSL to secure data in transit and hardware-acccelerated AES-256 encryption for data at rest.<br>
Supports code branching and merging;Supports multiple developers;Supports multiple database types;Supports XML, YAML, JSON and SQL formats;Supports context-dependent logic;Cluster-safe database upgrades;Generate Database change documentation;Rollbacks;Generate Database "diff's";Run through your build process, embedded in your application or on demand;Automatically generate SQL scripts for DBA code review;Does not require a live database connection;Stored logic
Statistics
GitHub Stars
-
GitHub Stars
5.3K
GitHub Forks
-
GitHub Forks
1.9K
Stacks
1.5K
Stacks
638
Followers
1.4K
Followers
648
Votes
108
Votes
70
Pros & Cons
Pros
  • 41
    Data Warehousing
  • 27
    Scalable
  • 17
    SQL
  • 14
    Backed by Amazon
  • 5
    Encryption
Pros
  • 18
    Many DBs supported
  • 18
    Great database tool
  • 12
    Easy setup
  • 8
    Database independent migration scripts
  • 5
    Database version controller
Cons
  • 5
    Documentation is disorganized
  • 5
    No vendor specifics in XML format - needs workarounds
Integrations
SQLite
SQLite
MySQL
MySQL
Oracle PL/SQL
Oracle PL/SQL
Amazon RDS for MariaDB
Amazon RDS for MariaDB
Travis CI
Travis CI
SAP HANA
SAP HANA
Oracle
Oracle
PostgreSQL
PostgreSQL
Sybase
Sybase
jFrog
jFrog
GitHub Actions
GitHub Actions
Firebird
Firebird
IBM DB2
IBM DB2

What are some alternatives to Amazon Redshift, Liquibase?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Google BigQuery

Google BigQuery

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

Qubole

Qubole

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Amazon EMR

Amazon EMR

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

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