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

IBM DB2 vs Sybase

OverviewComparisonAlternatives

Overview

IBM DB2
IBM DB2
Stacks245
Followers254
Votes19
Sybase
Sybase
Stacks41
Followers80
Votes10

IBM DB2 vs Sybase: What are the differences?

Key Differences between IBM DB2 and Sybase

IBM DB2 and Sybase are both popular relational database management systems (RDBMS) that provide robust features and capabilities for managing large amounts of data. However, they also have several key differences in terms of their architecture, supported platforms, performance, and pricing.

  1. Architecture: IBM DB2 follows a distributed architecture that allows it to scale horizontally by adding more servers to handle increased workloads. On the other hand, Sybase follows a client-server architecture, where the application logic resides on the client-side and the database resides on the server-side. This architecture allows Sybase to centralize data management and provide better control over security and access.

  2. Supported Platforms: IBM DB2 is designed to run on multiple platforms, including Windows, Linux, Unix, and z/OS. It provides native support for these platforms, allowing developers to take advantage of platform-specific features and optimizations. Sybase, on the other hand, primarily runs on Windows and Unix-based platforms, limiting its compatibility with other operating systems.

  3. Performance: IBM DB2 is well-known for its performance and scalability. It uses advanced optimization techniques, such as multi-dimensional clustering and adaptive compression, to improve query execution and data storage efficiency. Sybase also provides good performance, but it may not scale as well as DB2 for large datasets or high concurrent workloads.

  4. Advanced Features: IBM DB2 offers a wide range of advanced features, such as automatic storage management, workload management, and continuous data availability. These features enable efficient data management, high availability, and improved resource utilization. Sybase, although it provides many basic RDBMS features, may not have the same level of advanced functionalities as DB2.

  5. Licensing and Pricing: IBM DB2 has a variety of licensing options, including per-core and per-user licenses, with different pricing tiers based on the specific edition and features required. Sybase, on the other hand, typically follows a per-server licensing model, which may be more cost-effective for small to medium-sized deployments.

  6. Industry Adoption: IBM DB2 is widely used in enterprise environments, especially in industries such as finance, healthcare, and telecommunications. It has a strong presence and support from IBM, making it a popular choice for mission-critical applications. Sybase, although it has its own customer base, may not be as widely adopted or have the same level of community support as DB2.

In Summary, IBM DB2 and Sybase differ in their architecture, supported platforms, performance, advanced features, licensing/pricing models, and industry adoption. These differences make each database system suitable for specific use cases and organizational requirements.

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Detailed Comparison

IBM DB2
IBM DB2
Sybase
Sybase

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

Modernize and accelerate your transaction-based applications on premise and in the cloud. This high-performance SQL database server uses a relational management model to meet rising demand for performance, reliability, and efficiency in every industry.

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Faster, more secure transfer of database files; Multiversion concurrency control (MVCC); Three-system monitoring procedures
Statistics
Stacks
245
Stacks
41
Followers
254
Followers
80
Votes
19
Votes
10
Pros & Cons
Pros
  • 7
    Rock solid and very scalable
  • 5
    BLU Analytics is amazingly fast
  • 2
    Easy
  • 2
    Native XML support
  • 2
    Secure by default
Pros
  • 1
    HADR does not lose data is superior to Allwayson which
  • 1
    Max number of connection is 350000
  • 1
    HADR dont loose data
  • 1
    Replication server the best
  • 1
    Very good for application with high number of connectio
Integrations
Node.js
Node.js
JavaScript
JavaScript
PHP
PHP
Ruby
Ruby
Java
Java
Python
Python
C#
C#
.NET
.NET
C++
C++
Perl
Perl
No integrations available

What are some alternatives to IBM DB2, Sybase?

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.

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.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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