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CData JDBC Drivers VS PostgreSQL

Compare CData JDBC Drivers VS PostgreSQL and see what are their differences

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CData JDBC Drivers logo CData JDBC Drivers

Connect to data from Java/J2EE Apps. Access live data from BI, Reporting, ETL Tools, Custom Apps, and more.

PostgreSQL logo PostgreSQL

PostgreSQL is a powerful, open source object-relational database system.
  • CData JDBC Drivers Landing page
    Landing page //
    2023-07-31
  • PostgreSQL Landing page
    Landing page //
    2023-10-21

CData JDBC Drivers features and specs

  • Broad Database Support
    CData JDBC Drivers offer connectivity to a wide range of databases and data services, making it a versatile option for developers who need to integrate with multiple data sources.
  • Standardized Interface
    These drivers provide a standard JDBC interface, allowing Java applications to connect to any supported database in a uniform manner, simplifying development.
  • High Performance
    CData focuses on performance optimization, which can result in faster data access and more efficient operations compared to some generic JDBC drivers.
  • Comprehensive Documentation
    CData provides thorough documentation and examples, which can reduce the learning curve and help developers integrate the drivers more quickly.
  • Cross-Platform Compatibility
    The JDBC drivers are compatible with any platform that supports Java, enhancing their applicability across different systems and environments.

Possible disadvantages of CData JDBC Drivers

  • Cost
    CData JDBC Drivers are commercial products, which means there are licensing costs involved, potentially making them less attractive for projects with limited budgets.
  • Complexity
    The breadth of features and options could make the drivers more complex to configure and use, potentially requiring more effort to manage effectively.
  • Dependency Management
    With any third-party library, there is a reliance on CData for updates and support, which can introduce dependencies into the project that need to be managed.
  • Potential Overhead
    While designed for performance, the abstraction layer introduced by these drivers could add overhead in certain scenarios compared to native clients.

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.

CData JDBC Drivers videos

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PostgreSQL videos

Comparison of PostgreSQL and MongoDB

More videos:

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

Category Popularity

0-100% (relative to CData JDBC Drivers and PostgreSQL)
Web Service Automation
100 100%
0% 0
Databases
0 0%
100% 100
Automation
100 100%
0% 0
Relational Databases
0 0%
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 CData JDBC Drivers and PostgreSQL

CData JDBC Drivers Reviews

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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...
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

Social recommendations and mentions

Based on our record, PostgreSQL seems to be more popular. It has been mentiond 16 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.

CData JDBC Drivers mentions (0)

We have not tracked any mentions of CData JDBC Drivers yet. Tracking of CData JDBC Drivers recommendations started around Mar 2021.

PostgreSQL mentions (16)

  • 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 / 8 months 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 / about 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 / over 1 year 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: almost 2 years ago
  • Why SQL is right for Infrastructure Management
    SQL immediately stands out here because it was designed for making relational algebra, the other side of the Entity-Relationship model, accessible. There are likely more people who know SQL than any programming language (for IaC) or data format you could choose to represent your cloud infrastructure. Many non-programmers know it, as well, such as data scientists, business analysts, accountants, etc, and there is... - Source: dev.to / about 2 years ago
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What are some alternatives?

When comparing CData JDBC Drivers and PostgreSQL, you can also consider the following products

CData ODBC Drivers - Live data connectivity from any application that supports ODBC interfaces.

MySQL - The world's most popular open source database

SimbaEngine X - ODBC & JDBC Driver Development Environment

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.

Devart ODBC Drivers - Reliable and simple to use data connectors for ODBC data sources. Compatible with multiple third-party tools.

SQLite - SQLite Home Page