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Amazon Redshift VS pghoard

Compare Amazon Redshift VS pghoard and see what are their differences

Amazon Redshift logo Amazon Redshift

Learn about Amazon Redshift cloud data warehouse.

pghoard logo pghoard

Tools for making PostgreSQL backups to cloud object storages
  • Amazon Redshift Landing page
    Landing page //
    2023-03-14
  • pghoard Landing page
    Landing page //
    2023-08-03

Amazon Redshift features and specs

  • Scalability
    Amazon Redshift allows you to scale your data warehouse up or down easily based on your needs with just a few clicks or by using the API, providing flexibility to handle varying workloads.
  • Performance
    Redshift uses columnar storage, parallel processing, and efficient data compression techniques to deliver high performance for complex queries and large datasets.
  • Integration
    It seamlessly integrates with various AWS services like S3, DynamoDB, and QuickSight, making it easier to build a comprehensive data ecosystem.
  • Cost-effective
    Redshift offers a pay-as-you-go pricing model with no upfront costs, and you can save more with reserved instances, making it cost-effective for many businesses.
  • Security
    It includes features like encryption, Virtual Private Cloud (VPC), and compliance certifications (such as SOC 1, SOC 2, SOC 3, and more) to ensure data security and compliance.
  • Managed Service
    Amazon Redshift is a fully managed service, so it takes care of managing, monitoring, and scaling the infrastructure, allowing you to focus on your data and insights.

Possible disadvantages of Amazon Redshift

  • Complexity
    Although Redshift is powerful, it can be complex to set up, configure, and optimize for best performance, requiring knowledge and experience in data warehousing.
  • Cost for Unused Resources
    While Redshift is cost-effective for large-scale operations, costs can add up quickly if resources are not managed properly, especially with long-running clusters that are under-utilized.
  • Maintenance Windows
    Despite being a managed service, maintenance windows and updates can occasionally lead to downtime or performance degradation, impacting availability.
  • Data Transfer Costs
    Transferring data in and out of Redshift can incur additional costs, particularly if large volumes of data are involved, which can affect overall budget planning.
  • Vendor Lock-in
    Using Amazon Redshift ties you to the AWS ecosystem, which could be a disadvantage if you are considering a multi-cloud strategy or planning to switch providers in the future.

pghoard features and specs

  • Multi-cloud object storage support
    pghoard supports backing up to multiple cloud storage providers including AWS S3, Google Cloud Storage, Azure Blob Storage, Swift, and local filesystem, giving flexibility in choosing or switching backup destinations.
  • Streaming WAL archiving and compression
    It supports continuous WAL streaming and archiving with built-in compression (using algorithms like Snappy, LZMA, or zstd) and encryption, reducing storage costs and improving backup transfer efficiency.
  • Point-in-time recovery (PITR)
    pghoard enables point-in-time recovery by combining base backups with WAL segments, allowing restoration of a PostgreSQL database to any specific moment, which is critical for disaster recovery scenarios.
  • Open source and actively maintained by Aiven
    Being maintained by Aiven, a company specializing in managed database services, pghoard benefits from real-world production use, ongoing updates, and community contributions, ensuring reliability and continued support.
  • REST API and monitoring integration
    It provides a REST API for managing and monitoring backup operations, and can integrate with monitoring systems, making it easier to automate backup workflows and track backup health in production environments.

Possible disadvantages of pghoard

  • PostgreSQL-specific tool
    pghoard is designed exclusively for PostgreSQL, so organizations using multiple database systems would need separate backup solutions for other databases, increasing operational complexity.
  • Complex initial setup and configuration
    Setting up pghoard requires careful configuration of cloud storage credentials, encryption keys, and WAL-G-like settings, which can be complex for users unfamiliar with PostgreSQL internals or cloud storage APIs.
  • Limited GUI or dashboard
    pghoard primarily operates via command-line and configuration files with a basic REST API, lacking a polished web-based dashboard for easier visualization and management compared to some commercial backup solutions.
  • Documentation gaps for edge cases
    While basic documentation exists, users have reported that some advanced use cases, troubleshooting steps, and edge-case scenarios are not thoroughly documented, requiring deeper investigation into the source code.
  • Smaller community compared to alternatives
    Compared to more widely adopted tools like pgBackRest or Barman, pghoard has a smaller user community and fewer third-party resources, tutorials, or plugins, which may limit support options for troubleshooting.

Analysis of Amazon Redshift

Overall verdict

  • Amazon Redshift is generally considered a good solution for businesses seeking a robust, scalable, and cost-effective data warehousing service within the AWS cloud environment. However, its suitability may vary depending on specific organizational needs and workloads.

Why this product is good

  • Amazon Redshift is a popular data warehousing service within the AWS ecosystem, known for its scalability, ease of integration with other AWS services, and relatively low cost. It provides fast query performance for large datasets and offers features like columnar storage, parallel query execution, and advanced compression. These attributes make it an attractive choice for organizations looking to perform complex analytics and data processing tasks.

Recommended for

  • Organizations already utilizing AWS services and seeking seamless integration.
  • Businesses requiring scalable data warehousing at a competitive price.
  • Data-driven companies looking to perform fast, complex analytics on large datasets.
  • Teams needing flexible management options that can grow with their data storage needs.

Analysis of pghoard

Overall verdict

  • pghoard is a solid, mature open-source backup and restore solution for PostgreSQL, developed by Aiven and used in production for managing cloud-based PostgreSQL backups. It's well-suited for teams needing reliable, automated backup management with cloud storage integration, though it requires some setup and PostgreSQL administration knowledge to use effectively.

Why this product is good

  • Supports multiple cloud storage backends including AWS S3, Google Cloud Storage, and Azure Blob Storage
  • Provides continuous WAL archiving and base backups for point-in-time recovery
  • Battle-tested in production by Aiven for their managed PostgreSQL service
  • Open source with an active development history and community support
  • Handles backup compression and encryption out of the box
  • Supports multiple PostgreSQL versions and can manage backups for multiple clusters
  • Written in Python, making it relatively easy to extend or customize

Recommended for

  • Organizations running self-hosted PostgreSQL databases who need robust backup solutions
  • DevOps teams looking for cloud-native backup tooling with multi-provider storage support
  • Companies requiring point-in-time recovery capabilities for compliance or disaster recovery
  • Users already familiar with Aiven's ecosystem or seeking battle-tested tools from a managed database provider
  • Teams needing to manage backups across multiple PostgreSQL instances or clusters
  • Users comfortable with Python-based tooling and command-line configuration

Amazon Redshift videos

Getting Started with Amazon Redshift - AWS Online Tech Talks

More videos:

  • Review - Amazon Redshift Materialized Views
  • Tutorial - Amazon Redshift Tutorial | Amazon Redshift Architecture | AWS Tutorial For Beginners | Simplilearn

pghoard videos

No pghoard videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Amazon Redshift and pghoard)
Databases
96 96%
4% 4
Big Data
100 100%
0% 0
MySQL Tools
0 0%
100% 100
Data Management
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Amazon Redshift and pghoard

Amazon Redshift Reviews

Database for Data Analytics
Processing typeDescriptionUse casesCommon databasesProcessing typesProcesses data in scheduled intervals (hours, days). High-latency but cost-efficient for large datasets.Financial reporting, trend analysis, historical analyticsSnowflake, Amazon Redshift, Google BigQueryContinuously ingests and processes data with minimal latency for real-time decision-making.Fraud...
Source: blog.devart.com
Database Management Systems (DBMS) Comparison: SQL Server, MySQL, PostgreSQL, MongoDB, Oracle
Amazon Redshift is a powerful, fully managed data warehousing solution designed for handling large-scale analytics and business intelligence workloads. Its seamless integration with the AWS ecosystem makes it a top choice for enterprises managing massive datasets.
Source: blog.devart.com
Data Warehouse Tools
No, SQL (Structured Query Language) is not a data warehouse itself. SQL is a programming language used for managing and querying data stored in relational database management systems (RDBMS) and data warehouses. Many data warehouse solutions, such as Peliqan, Amazon Redshift, and PostgreSQL, support SQL for querying and analyzing data within the data warehouse
Source: peliqan.io
Top 6 Cloud Data Warehouses in 2023
Coined in November 2021, Amazon Redshift was launched as a fully managed cloud data warehouse that can handle petabyte-scale data. While it was not the first cloud data warehouse, it became the first to proliferate in the market share after a large-scale adoption. Redshift uses SQL dialect based on PostgreSQL, which is well-known by many analysts globally, and its...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...

pghoard Reviews

We have no reviews of pghoard yet.
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Social recommendations and mentions

Based on our record, Amazon Redshift seems to be a lot more popular than pghoard. While we know about 30 links to Amazon Redshift, we've tracked only 2 mentions of pghoard. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon Redshift mentions (30)

  • What if ML pipelines had a lock file?
    Data Pipelines usually read from tables that change over time. Most of these tables are stored in a data warehouse like Amazon Redshift or Google BigQuery. Rows are added or removed. Backfills happen. A column gets renamed or its meaning changes. Even when teams snapshot data, those snapshots are often implicit, not recorded as part of the pipeline run itself. - Source: dev.to / 7 months ago
  • How to Pitch Your Boss to Adopt Apache Iceberg?
    If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, youโ€™ve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming โ€” one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / over 1 year ago
  • Everyone Uses Postgresโ€ฆ But Why?
    Postgres can be easily adapted to build highly tailored solutions. For instance, Amazon Redshift can be considered a highly scalable fork of Postgres. Itโ€™s a distributed database focusing on OLAP workloads that you can deploy in AWS. - Source: dev.to / almost 2 years ago
  • From ETL and ELT to Reverse ETL
    With the transition from ETL to ELT, data warehouses have ascended to the role of data custodians, centralizing customer data collected from fragmented systems. This pivotal shift has been enabled by a suite of powerful tools: Fivetran and Airbyte streamline the extraction and loading, DBT handles the transformation, and robust warehousing solutions like Snowflake and Redshift store the data. While traditionally... - Source: dev.to / almost 2 years ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    They differ from conventional analytic databases like Snowflake, Redshift, BigQuery, and Oracle in several ways. Conventional databases are batch-oriented, loading data in defined windows like hourly, daily, weekly, and so on. While loading data, conventional databases lock the tables, making the newly loaded data unavailable until the batch load is fully completed. Streaming databases continuously receive new... - Source: dev.to / over 2 years ago
View more

pghoard mentions (2)

  • Pgbackrest is no longer being maintained
    The "closest" would be using Barman with hook scripts (https://docs.pgbarman.org/release/3.18.0/user_guide/hook_scripts.html#hook-scripts-using-barman-cloud-scripts-as-hooks-in-barman) if you rely on cloud storage for storing backups. https://github.com/aiven-open/pghoard seems like a good option too, but I havenโ€™t tested it yet to have a solid opinion. - Source: Hacker News / 4 months ago
  • Future PostgreSQL: improvement to the replication protocol
    This story starts with our own PgHoard, a PITR backup tool for PostgreSQL. PgHoard offers several methods to archive the WAL (Write Ahead Log), including pg_receivewal, a small application shipping with PostgreSQL which connects to a PostgreSQL cluster using the physical replication protocol to stream WAL as they are produced, optionally keeping track of the position on the server using a replication slot. - Source: dev.to / over 4 years ago

What are some alternatives?

When comparing Amazon Redshift and pghoard, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Microsoft SQL Server - Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.

Microsoft Office Access - Access is now much more than a way to create desktop databases. Itโ€™s an easy-to-use tool for quickly creating browser-based database applications.

Brilliant Database - Create a personal or business desktop database fast and easily using this simple all-in-one database software. Free 30 day trial.

Firebird - Relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platform

Microsoft SQL Server Compact - Bring Microsoft SQL Server 2017 to the platform of your choice. Use SQL Server 2017 on Windows, Linux, and Docker containers.