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DuckDB

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11
+ 1
0
Exasol

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+ 1
6
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DuckDB vs Exasol: What are the differences?

DuckDB: SQLite for Analytics. It is an embedded database designed to execute analytical SQL queries fast while embedded in another process. It is designed to be easy to install and easy to use. DuckDB has no external dependencies. It has bindings for C/C++, Python and R; Exasol: An intelligent, self-tuning and resource-efficient database. It is an intelligent, self-tuning and resource-efficient database. Use the unrivalled performance of our analytics database and deploy anywhere, whether that’s on cloud, on-premises, or with a hybrid strategy – turning your organization’s insights into real value faster, easier and more cost effectively than ever before.

DuckDB and Exasol can be primarily classified as "Databases" tools.

Some of the features offered by DuckDB are:

  • Embedded database
  • Designed to execute analytical SQL queries fast
  • No external dependencies

On the other hand, Exasol provides the following key features:

  • Unlock analytics as fast as you think
  • An intelligent, self-tuning and resource-efficient database
  • Consolidate AI, ML and BI for both standard and advanced analytics, directly in the database – using any data science language

DuckDB is an open source tool with 1.35K GitHub stars and 94 GitHub forks. Here's a link to DuckDB's open source repository on GitHub.

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Pros of DuckDB
Pros of Exasol
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    • 1
      Complex queries
    • 1
      Great on old hardware (or new)
    • 1
      Cloud
    • 1
      On-prem
    • 1
      Easy
    • 1
      Fast

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    - No public GitHub repository available -

    What is DuckDB?

    It is an embedded database designed to execute analytical SQL queries fast while embedded in another process. It is designed to be easy to install and easy to use. DuckDB has no external dependencies. It has bindings for C/C++, Python and R.

    What is Exasol?

    It is an intelligent, self-tuning and resource-efficient database. Use the unrivalled performance of our analytics database and deploy anywhere, whether that’s on cloud, on-premises, or with a hybrid strategy – turning your organization’s insights into real value faster, easier and more cost effectively than ever before.

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

    What tools integrate with DuckDB?
    What tools integrate with Exasol?
    What are some alternatives to DuckDB and Exasol?
    MonetDB
    MonetDB innovates at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, a modern CPU-tuned query execution architecture, automatic and self-tuning indexes, run-time query optimization, and a modular software architecture.
    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