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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. IBM DB2 vs SQLyog

IBM DB2 vs SQLyog

OverviewComparisonAlternatives

Overview

IBM DB2
IBM DB2
Stacks245
Followers254
Votes19
SQLyog
SQLyog
Stacks22
Followers48
Votes0
GitHub Stars986
Forks165

IBM DB2 vs SQLyog: What are the differences?

# Introduction
This comparison will highlight the key differences between IBM DB2 and SQLyog.

1. **Deployment Options**: IBM DB2 offers both on-premises and cloud deployment options, providing flexibility for organizations based on their requirements, while SQLyog is primarily focused on on-premises deployment, limiting the cloud options available.
2. **Pricing Models**: IBM DB2 is known for its complex pricing structure with various editions catering to different needs, while SQLyog tends to offer more straightforward pricing models with a one-time license fee for the software.
3. **Supported Databases**: IBM DB2 has a broader range of supported databases and integrations, making it more versatile for businesses with diverse data sources, whereas SQLyog is more focused on MySQL databases, limiting its compatibility with other database systems.
4. **User Interface**: SQLyog is known for its intuitive and user-friendly interface, making it easier for novice users to manage databases, while IBM DB2 may have a steeper learning curve due to its comprehensive feature set and advanced capabilities.
5. **Community Support**: SQLyog has a strong community of users offering support and resources for troubleshooting and optimization, while IBM DB2 may rely more on official documentation and support from IBM for assistance.
6. **Scalability**: IBM DB2 is designed to handle large-scale enterprise data management with robust scalability features, making it suitable for high-demand environments, whereas SQLyog is more suited for small to medium-sized database requirements.

In Summary, the key differences between IBM DB2 and SQLyog lie in their deployment options, pricing models, supported databases, user interface, community support, and scalability.

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Detailed Comparison

IBM DB2
IBM DB2
SQLyog
SQLyog

DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.

It is the most complete MySQL management, GUI solution for DBAs & Devops with powertools like scheduled backups, SSH and HTTP tunneling.

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Sql;Easy;GUI;Performance
Statistics
GitHub Stars
-
GitHub Stars
986
GitHub Forks
-
GitHub Forks
165
Stacks
245
Stacks
22
Followers
254
Followers
48
Votes
19
Votes
0
Pros & Cons
Pros
  • 7
    Rock solid and very scalable
  • 5
    BLU Analytics is amazingly fast
  • 2
    Native XML support
  • 2
    Secure by default
  • 2
    Easy
No community feedback yet
Integrations
Node.js
Node.js
JavaScript
JavaScript
PHP
PHP
Ruby
Ruby
Java
Java
Python
Python
C#
C#
.NET
.NET
C++
C++
Perl
Perl
MySQL
MySQL
SQLite
SQLite
Boundary
Boundary
Woopra
Woopra
Clever Cloud
Clever Cloud

What are some alternatives to IBM DB2, SQLyog?

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.

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.

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.

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.

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