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CrateIO vs IBM DB2

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CrateIO
19
39
+ 1
7
IBM DB2
242
243
+ 1
19
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CrateIO vs IBM DB2: What are the differences?

What is CrateIO? The Distributed Database for Docker. Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

What is 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.

CrateIO and IBM DB2 belong to "Databases" category of the tech stack.

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

CrateIO is an open source tool with 2.49K GitHub stars and 333 GitHub forks. Here's a link to CrateIO's open source repository on GitHub.

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Pros of CrateIO
Pros of IBM DB2
  • 3
    Simplicity
  • 2
    Scale
  • 2
    Open source
  • 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

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- No public GitHub repository available -

What is CrateIO?

Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

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.

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What companies use CrateIO?
What companies use IBM DB2?
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    What tools integrate with CrateIO?
    What tools integrate with IBM DB2?

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    What are some alternatives to CrateIO and IBM DB2?
    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.
    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.
    See all alternatives

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