Need advice about which tool to choose?Ask the StackShare community!

IBM DB2

197
196
+ 1
19
RocksDB

88
194
+ 1
10
Add tool

IBM DB2 vs RocksDB: What are the differences?

IBM DB2: A family of database server products developed by IBM. DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs; RocksDB: Embeddable persistent key-value store for fast storage, developed and maintained by Facebook Database Engineering Team. RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.

IBM DB2 and RocksDB can be primarily classified as "Databases" tools.

"Rock solid and very scalable" is the primary reason why developers consider IBM DB2 over the competitors, whereas "Very fast" was stated as the key factor in picking RocksDB.

RocksDB is an open source tool with 14.3K GitHub stars and 3.12K GitHub forks. Here's a link to RocksDB's open source repository on GitHub.

According to the StackShare community, IBM DB2 has a broader approval, being mentioned in 7 company stacks & 9 developers stacks; compared to RocksDB, which is listed in 6 company stacks and 7 developer stacks.

Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of IBM DB2
Pros of RocksDB
  • 7
    Rock solid and very scalable
  • 5
    BLU Analytics is amazingly fast
  • 2
    Native XML support
  • 2
    Secure by default
  • 2
    Easy
  • 1
    Best performance
  • 4
    Very fast
  • 3
    Made by Facebook
  • 2
    Consistent performance
  • 1
    Ability to add logic to the database layer where needed

Sign up to add or upvote prosMake informed product decisions

Sign up to add or upvote consMake informed product decisions

- No public GitHub repository available -

What is IBM DB2?

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

What is RocksDB?

RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.

Need advice about which tool to choose?Ask the StackShare community!

What companies use IBM DB2?
What companies use RocksDB?
See which teams inside your own company are using IBM DB2 or RocksDB.
Sign up for Private StackShareLearn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with IBM DB2?
What tools integrate with RocksDB?

Sign up to get full access to all the tool integrationsMake informed product decisions

Blog Posts

What are some alternatives to IBM DB2 and RocksDB?
Oracle
Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
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 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.
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.
Microsoft SQL Server
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
See all alternatives