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SQLite VS Milvus

Compare SQLite VS Milvus and see what are their differences

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SQLite logo SQLite

SQLite Home Page

Milvus logo Milvus

Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
  • SQLite Landing page
    Landing page //
    2023-10-21
  • Milvus Landing page
    Landing page //
    2022-12-01

Milvus is a highly flexible, reliable, and blazing-fast cloud-native, open-source vector database. It powers embedding similarity search and AI applications and strives to make vector databases accessible to every organization. Milvus can store, index, and manage a billion+ embedding vectors generated by deep neural networks and other machine learning (ML) models. This level of scale is vital to handling the volumes of unstructured data generated to help organizations to analyze and act on it to provide better service, reduce fraud, avoid downtime, and make decisions faster.

Milvus is a graduated-stage project of the LF AI & Data Foundation.

SQLite features and specs

  • Zero Configuration
    SQLite does not require any server setup or configuration, allowing for easy integration and deployment in applications.
  • Lightweight
    It is extremely lightweight, with a small footprint, making it ideal for embedded systems and mobile applications.
  • Self-Contained
    SQLite is self-contained, meaning it has minimal external dependencies, which simplifies its distribution and usage.
  • File-Based Storage
    Data is stored in a single file, which makes it easy to manage and transfer databases as simple files.
  • ACID Compliance
    SQLite supports Atomicity, Consistency, Isolation, and Durability (ACID) properties, ensuring reliable transactions.
  • Cross-Platform
    SQLite is available on numerous platforms, including Windows, MacOS, Linux, iOS, and Android, providing a broad compatibility range.
  • Public Domain
    SQLite operates under the public domain, allowing for unrestricted use in commercial and non-commercial applications.

Possible disadvantages of SQLite

  • Limited Scalability
    SQLite is not designed to handle high levels of concurrency and large-scale databases, making it less suitable for large, high-traffic applications.
  • Write Performance
    Write operations can be slower compared to server-based databases, especially under heavy write loads.
  • Lack of Certain Features
    SQLite lacks some advanced features offered by other RDBMS like stored procedures, user-defined functions, and full-text search indexing.
  • Security
    As SQLite is file-based, it might lack some of the security features present in server-based databases, such as sophisticated access control.
  • Concurrency
    SQLite uses a locking mechanism to control access to the database, which can lead to contention and performance bottlenecks in highly concurrent environments.
  • Backup and Restore
    While it's straightforward to copy SQLite database files, it lacks the advanced backup and restore features found in more complex RDBMS.

Milvus features and specs

  • High Performance
    Milvus is designed to manage and process large-scale vector data extremely fast, making it suitable for handling real-time processing of massive datasets.
  • Scalability
    Milvus supports horizontal scaling, ensuring that as the data grows, the system can scale out by adding more nodes to maintain performance.
  • Flexible Deployment
    Milvus can be deployed on-premises, on cloud services, or in hybrid environments, providing flexibility for different infrastructure needs.
  • Community and Support
    As an open-source project, Milvus has a strong community and support network, including comprehensive documentation and active community forums.
  • Rich Ecosystem
    Milvus integrates well with various machine learning and data processing tools, such as TensorFlow, PyTorch, and other AI frameworks, facilitating seamless workflows.
  • Built-in Indexing
    Milvus provides built-in indexing capabilities like IVF, HNSW, and ANNOY, which enhance the speed and efficiency of similarity searches on vector data.

Analysis of SQLite

Overall verdict

  • SQLite is an excellent choice for a variety of use cases, particularly where ease of use, scalability for smaller applications, and integration simplicity are prioritized. Its robust feature set and extensive community support make it a reliable option for many developers.

Why this product is good

  • SQLite is highly regarded for its efficiency, simplicity, and portability. It is a self-contained, serverless database engine that requires no configuration, making it easy to integrate into applications. Its zero-configuration system and minimal setup offer a lightweight solution that supports complex queries with ACID compliance. SQLite is also used widely due to its high reliability and performance, and it is included by default in several programming environments.

Recommended for

  • Small to medium-sized applications
  • Embedded devices and IoT applications
  • Mobile applications
  • Testing and prototyping
  • Internal or standalone tools and applications
  • Education and learning environments

Analysis of Milvus

Overall verdict

  • Milvus is generally regarded as a good option, especially for businesses and developers working in the field of AI and data science. Its open-source nature allows for flexibility and community support, and it is backed by a solid architecture designed for scalability and efficiency.

Why this product is good

  • Milvus is considered a strong choice for handling large-scale vector data due to its high-performance capabilities and ability to manage similarity search effectively. It is particularly well-suited for applications involving AI, machine learning, and deep learning where vector operations are common.

Recommended for

    Milvus is ideal for data scientists, AI researchers, and engineers who require efficient and scalable vector search solutions. It is also recommended for companies and projects dealing with recommendation systems, image and video search, natural language processing, and more.

SQLite videos

+ Add

SQLite | What, Why , Where

More videos:

  • Review - W20 PROG1442 3.3 UWP sqLite Review
  • Tutorial - How To Create SQLite Databases From Scratch For Beginners - Full Tutorial

Milvus videos

+ Add

End to End Tutorial on Milvus Lite

More videos:

  • Demo - An Introduction To the Milvus Open Source Vector Database

Category Popularity

0-100% (relative to SQLite and Milvus)

SQLite

Milvus

Databases
86 86%
Databases
14% 14
Search Engine
0 0%
Search Engine
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100

User comments

Share your experience with using SQLite and Milvus. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Milvus should be more popular than SQLite. It has been mentiond 38 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SQLite mentions (18)

  • Can I have my Lightroom catalogue pointing at two sources...?
    Yes. A Lightroom catalog file is, after all, just a SQLite database. (Srsly, make a copy of your catalog file, rename it whatever.sqlite and use your favorite SQLite GUI to rip it open and look at the tables and fields). It's just storing the pathame to the RAW file for that file's record in the database. Source: almost 2 years ago
  • Building a database to search Excel files
    I use visidata with a playback script I recorded to open the sheet to a specific Excel tab, add a column, save the sheet as a csv file. Then I have a sqlite script that takes the csv file and puts it in a database, partitioned by monthYear. Source: about 2 years ago
  • Saw this on my friends Snapchat story, this hurts my heart
    Use the most-used database in the world: https://sqlite.org/index.html. Source: over 2 years ago
  • "Managing" a SQLite Database with J (Part 2)
    With this in mind, I wrote a few versions of this post, but I hated them all. Then I realized that jodliterate PDF documents mostly do what I want. So, instead of rewriting MirrorXref.pdf, I will make a few comments about jodliterate group documents in general. If you're interested in using SQLite with J, download the self-contained GitHub files MirrorXref.ijs and MirrorXref.pdf and have a look. - Source: dev.to / almost 3 years ago
  • "Managing" a SQLite Database with J (Part 1)
    SQLite, by many estimates, is the most widely deployed SQL database system on Earth. It's everywhere. It's in your phone, your laptop, your cameras, your car, your cloud, and your breakfast cereal. SQLite's global triumph is a gratifying testament to the virtues of technical excellence and the philosophy of "less is more.". - Source: dev.to / almost 3 years ago
View more

Milvus mentions (38)

View more

What are some alternatives?

When comparing SQLite and Milvus, you can also consider the following products

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Qdrant - Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

MySQL - The world's most popular open source database

Vespa.ai - Store, search, rank and organize big data

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

TopK.io - TopK is a cloud-native database intended for search use cases. It comes with keyword search, vector search, and metadata filtering built-in. Easy-to-use search engine loved by developers of all skill levels.

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