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PostgreSQL VS Pentaho Data Integration

Compare PostgreSQL VS Pentaho Data Integration and see what are their differences

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PostgreSQL logo PostgreSQL

PostgreSQL is a powerful, open source object-relational database system.

Pentaho Data Integration logo Pentaho Data Integration

Hitachi Vantara brings Pentaho Data Integration, an end-to-end platform for all data integration challenges, that simplifies creation of data pipelines and provides big data processing.
  • PostgreSQL Landing page
    Landing page //
    2023-10-21
  • Pentaho Data Integration Landing page
    Landing page //
    2023-05-08

PostgreSQL features and specs

  • Open Source
    PostgreSQL is an open-source database management system, which means it is free to use, modify, and distribute. This reduces the cost of database management for individuals and organizations.
  • ACID Compliance
    PostgreSQL is fully ACID (Atomicity, Consistency, Isolation, Durability) compliant, ensuring reliable transactions and data integrity.
  • Extensible
    PostgreSQL is highly extensible, allowing users to add custom functions, data types, and operators. This enables tailored solutions to specific requirements.
  • Advanced SQL Features
    PostgreSQL supports advanced SQL features like full-text search, JSON and XML data types, and complex queries, providing powerful tools for database operations.
  • Community Support
    There is a strong and active community around PostgreSQL, offering extensive documentation, forums, and collaborative support, which aids troubleshooting and development.
  • Multiple Indexing Techniques
    PostgreSQL offers a variety of indexing techniques such as B-tree, GIN, GiST, and BRIN, allowing for optimized query performance on various data types.
  • Cross-Platform Availability
    PostgreSQL runs on all major operating systems (Windows, MacOS, Linux, Unix), giving flexibility in deployment and development environments.

Possible disadvantages of PostgreSQL

  • Complex Configuration
    Setting up and configuring PostgreSQL can be complex and time-consuming, especially for beginners, requiring a good understanding of its parameters and best practices.
  • Heavy Resource Consumption
    PostgreSQL can be resource-intensive, consuming significant CPU and memory compared to other database systems, which may affect performance on lower-end hardware.
  • Backup and Restore Process
    The backup and restore process in PostgreSQL is not as straightforward as in some other database systems, requiring more manual intervention and understanding of tools like pg_dump and pg_restore.
  • Replication Complexity
    While PostgreSQL supports replication, setting it up can be more complex than some other databases. Advanced configurations like multi-master replication can be particularly challenging.
  • Steeper Learning Curve
    Due to its advanced features and extensive capabilities, PostgreSQL can have a steeper learning curve, making it harder for new users to get started compared to simpler database systems.
  • Less Third-Party Tool Support
    PostgreSQL has less support from third-party tools compared to more widely adopted databases like MySQL, which can limit options for auxiliary functions like administration, monitoring, and development.

Pentaho Data Integration features and specs

  • User-Friendly Interface
    Pentaho Data Integration offers an intuitive drag-and-drop interface that simplifies the ETL process, making it accessible even for users without extensive technical expertise.
  • Extensive Connectivity
    Pentaho supports a wide range of data sources, including relational databases, NoSQL databases, cloud services, and big data platforms, providing flexibility for integration needs.
  • Scalability
    The platform can handle large volumes of data, making it suitable for enterprise-level data integration tasks and supporting growth in data needs over time.
  • Open-Source Community
    As an open-source tool, Pentaho benefits from a large and active community that contributes to its continuous improvement and provides a wealth of shared resources and plugins.
  • Integration with BI Tools
    Pentaho Data Integration seamlessly integrates with Pentaho's business intelligence tools, allowing for streamlined workflow from data ingestion to analytics and reporting.

Possible disadvantages of Pentaho Data Integration

  • Learning Curve
    While the interface is user-friendly, mastering the full capabilities of Pentaho can take time, especially for users new to ETL processes and data integration.
  • Performance Issues
    Some users report performance bottlenecks, especially when dealing with very large datasets or complex transformations, which may require additional optimization.
  • Limited Advanced Features
    Compared to some commercial ETL tools, Pentaho might lack certain advanced features, requiring additional customization or third-party solutions to fulfill complex requirements.
  • Documentation Quality
    The quality and depth of official documentation can sometimes be lacking, leading users to rely on community forums and external sources for troubleshooting.
  • Enterprise Edition Costs
    While the community edition of Pentaho is free, accessing the full suite of enterprise features and support requires a commercial license, which may be costly for some organizations.

Analysis of PostgreSQL

Overall verdict

  • Yes, PostgreSQL is considered a high-quality and reliable database management system, suitable for a wide range of applications, from small-scale personal projects to large enterprise systems.

Why this product is good

  • PostgreSQL is known for its strong support of SQL standards and excellent documentation, making it reliable for complex database requirements.
  • It provides advanced features such as multi-version concurrency control (MVCC), point-in-time recovery, and support for advanced indexing techniques.
  • PostgreSQL offers robust performance optimization options, powerful extensions, and a highly customizable platform.
  • It has a strong open-source community, ensuring ongoing improvements and support.
  • PostgreSQL is compatible with popular development frameworks and languages, enhancing its versatility.

Recommended for

  • Organizations seeking a scalable and stable database solution with strong compliance with SQL standards.
  • Developers who need advanced features like custom data types and indexing capabilities.
  • Projects requiring robust transactional integrity and data consistency.
  • Businesses looking for a cost-effective open-source database solution with active community support.

PostgreSQL videos

+ Add

Comparison of PostgreSQL and MongoDB

More videos:

  • Review - PostgreSQL Review
  • Review - MySQL vs PostgreSQL - Why you shouldn't use MySQL

Pentaho Data Integration videos

+ Add

pentaho Data Integration review

Category Popularity

0-100% (relative to PostgreSQL and Pentaho Data Integration)

PostgreSQL

Pentaho Data Integration

Databases
100 100%
Databases
0% 0
Backup & Sync
0 0%
Backup & Sync
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Data Integration
0 0%
Data Integration
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare PostgreSQL and Pentaho Data Integration

PostgreSQL Reviews

Data Warehouse Tools
Peliqan acts as a bridge, allowing you to e.g. effortlessly pull your PostgreSQL data into Google Sheets for easy access and analysis using its one-click connector. Additionally, Peliqan’s platform provides a user-friendly environment for data exploration, transformation with Magical SQL, and visualization capabilities, all without needing to switch between multiple tools.
Source: peliqan.io
Top 5 BigQuery Alternatives: A Challenge of Complexity
For over three decades, the open-source object-relational database system PostgreSQL has maintained its reputation as a top SQL server due to its features, performance, and reliability. (Heck, Redshift is even based on Postgres!) It's the go-to database solution for large corporations and organizations across a variety of industries from ecommerce to gaming to...
Source: blog.panoply.io
10 Best Database Management Software Of 2022 [+ Examples]
Applications Manager offers out-of-the-box health and performance monitoring for 20 popular databases including RDBMS, NoSQL, in-memory, distributed, and big data stores. It supports both commercial databases such as Oracle, Microsoft SQL, IBM DB2, and MongoDB as well as open source ones like MySQL and PostgreSQL.
Source: theqalead.com
ClickHouse vs TimescaleDB
Recently, TimescaleDB published a blog comparing ClickHouse & TimescaleDB using timescale/tsbs, a timeseries benchmarking framework. I have some experience with PostgreSQL and ClickHouse but never got the chance to play with TimescaleDB. Some of the claims about TimescaleDB made in their post are very bold, that made me even more curious. I thought it’d be a great...
Source: pradeepchhetri.xyz
9 Best MongoDB alternatives in 2019
PostgreSQL is a widely popular open source database management system. It provides support for both SQL for relational and JSON for non-relational queries.
Source: www.guru99.com

Pentaho Data Integration Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
In conclusion, there are many different ETL and data integration tools available, each with its own unique features and capabilities. Some popular options include SSIS, Talend Open Studio, Pentaho Data Integration, Hadoop, Airflow, AWS Data Pipeline, Google Dataflow, SAP BusinessObjects Data Services, and Hevo. Companies considering these tools should carefully evaluate...
Source: www.datacamp.com
15 Best ETL Tools in 2022 (A Complete Updated List)
Pentaho Data Integration enables the user to cleanse and prepare the data from various sources and allows the migration of data between applications. PDI is an open-source tool and is a part of the Pentaho business intelligent suite.
Source: www.softwaretestinghelp.com

Social recommendations and mentions

Based on our record, PostgreSQL seems to be more popular. It has been mentiond 17 times since March 2021. 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.

PostgreSQL mentions (17)

  • #5 - 'The Power of [Separation] Compels You!'
    You also might be saying, Why not include the credit and attribution data with the product data and just use one data file? Thats a great question. I could have for the purpose of this demo, but if there were a backend to this project and a relational database like PostgreSQL attached to it, I would still have both sets of data in separate tables in the database. By using a foreign key between related records in... - Source: dev.to / 14 days ago
  • Convert insert mutation to upsert
    In this quick post, we’ll walk through implementing an Upsert operation in Hasura using PostgreSQL and GraphQL. - Source: dev.to / about 1 year ago
  • Perfect Elixir: Environment Setup
    I’m on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS. - Source: dev.to / over 1 year ago
  • Rust & MySQL: connect, execute SQL statements and stored procs using crate sqlx.
    According to the documentation, crate sqlx is implemented in Rust, and it's database agnostic: it supports PostgreSQL, MySQL, SQLite, and MSSQL. - Source: dev.to / about 2 years ago
  • Really tired. Is PostgreSQL even runnable in Windows 10? pgAdmin4 stucks at Loading whatever I try.
    Solution is just downloading and installilng pgAdmin from official pgAdmin homepage version, not the one that is included in the postgresql.org package. Source: about 2 years ago
View more

Pentaho Data Integration mentions (0)

We have not tracked any mentions of Pentaho Data Integration yet. Tracking of Pentaho Data Integration recommendations started around Mar 2021.

What are some alternatives?

When comparing PostgreSQL and Pentaho Data Integration, you can also consider the following products

MySQL - The world's most popular open source database

SAP Data Services - SAP Data Services provides functionality for data integration, quality, cleansing, and more.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Striim - Striim provides an end-to-end, real-time data integration and streaming analytics platform.

SQLite - SQLite Home Page

Oracle Data Integrator - Oracle Data Integrator is a data integration platform that covers batch loads, to trickle-feed integration processes.

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