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Скачать или смотреть Database Wars! ⚔️ Elasticsearch, Redis & The Future of Open Source

  • Jim Schwoebel
  • 2025-01-23
  • 10
Database Wars! ⚔️ Elasticsearch, Redis & The Future of Open Source
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This blog post focuses on trends in the database industry that are relevant to the development and deployment of AI agents. AI agents rely heavily on databases to store and process vast amounts of data. Here's how the topics discussed in the blog post relate to AI agents:

Open-source databases - The blog post highlights the challenges faced by open-source database companies in the cloud era, particularly concerning licensing and competition from cloud vendors. This is relevant to AI agents because open-source databases are often used to build and train AI models. The availability and accessibility of these databases impact the development of AI agents.
Databricks vs. Snowflake - The rivalry between Databricks and Snowflake is centered around building an ecosystem for data management and AI. Both companies are investing heavily in features like vector databases, data catalogs, and large language models (LLMs), all crucial for AI agent development. The competition pushes innovation and provides AI developers with more advanced tools and platforms.
DuckDB integration - The integration of DuckDB into other database systems like Postgres signifies a trend towards making analytical capabilities more accessible. AI agents often need to analyze large datasets, and the ease of use and portability of DuckDB make it a valuable tool for AI developers working with these systems.
New database releases - The blog post mentions releases like Amazon Aurora DSQL, Google Bigtable with SQL support, and Microsoft Garnet. These releases reflect the database industry's response to the growing demands of AI applications. Features like distributed processing, scalability, and support for diverse data models are essential for building and deploying sophisticated AI agents.

The trends discussed have direct implications for AI agent developers, impacting the tools, platforms, and infrastructure available for building, training, and deploying increasingly complex and capable AI agents.

Original blog post: https://www.cs.cmu.edu/~pavlo/blog/20...

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