Apple Acquires New Database App - MacRumors
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Apple Acquires New Database App

Apple acquired Canadian graph database company Kuzu last year, it has emerged.

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The acquisition, spotted by AppleInsider, was completed in October 2025 for an undisclosed sum. The company's website was subsequently taken down and its Github repository was archived, as is commonplace for Apple acquisitions.

Kuzu was "an embedded graph database built for query speed, scalability, and easy of use." It offered Kuzu Explorer, a browser-based database that displayed datapoints as linked nodes. Apple had to inform the European Union of the acquisition owing to its significance, but there are few other details around it.

Apple already owns FileMaker, a cross-platform relational database app, via a subsidiary. It is unclear what Apple plans to use Kuzu's technology for.

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Top Rated Comments

10 months ago
Bring back Bento
Score: 17 Votes (Like | Disagree)
10 months ago

Can't wait for them to add this to iWork
Available only with a Creator Studio subscription! We think you’re going to love it
Score: 13 Votes (Like | Disagree)
10 months ago
“The European Union has indicated that they appreciate Apple informing them of a future revenue stream and look forward to fining Apple billions of dollars for their monopoly on Kuzu’s technology.” They will specifically update the DMA to set the quantitative thresholds on ‘graph databases’ to 1 home user a month and 1 business user a month for companies not based in the EU to speed the process.
Score: 12 Votes (Like | Disagree)
sracer Avatar
10 months ago

Bring back Bento
👍 Absolutely!

Flat-file databases need to make a comeback (they should never have left).
Score: 8 Votes (Like | Disagree)
10 months ago
Interesting. I see three reasons right off the bat for this acquisition.

1: Because of the nature of Graph Databases, which are based on Graph Theory and as such are inherently relationship oriented even more so than SQL based “Relational Database Management Systems (RMDBS), they are really good at teasing out relations between stored objects in both structure and particularly unstructured data.

Think how Amazon or Walmart.com keeps track of all your searches and purchases, not only for the immediate management of your personal queries and purchases on their sites but also from those interactions over time they can begin to see the relationships of your queries and purchases by time, location, date, purchase amount and amount that is purchased….etc…in order to determine how, what and why you are purchasing the things you do.

In other words they are building a psychological and predictive profile on you in order to better suit your needs AND to proactively position and push potential items to you that are related to your already existent purchase profile.

So…Apple could have bought Kuzu to embed in their already huge Apple Store, Apple Pay and Apple Services databases and frameworks to become more like Amazon and Walmart.com as Apple seeks to become yet another huge global Subscription Behemoth or in plainer English….a Rent Seeker.

2: NoSQL type Graph Databases are almost all vector oriented which speeds up queries about the relationships between different data objects stored in the system. This makes Graph Databases ideal for Machine Learning and AI use cases as they excel in teasing out hidden data points and relationships in large unstructured data pools.

So Apple’s purchase of Kuzu also helps them with this point as well as Apple transitions into the world of AI and becoming an AI driven company.

3: Because Kuzu was intended to be an embedded database technology I can see Apple using Kuzu not only for internal company use cases but embedding Kuzu into many if not all of Apple’s consumer apps. Even Safari as one of Kuzu’s use cases was to embed its search capabilities into browsers via the WASM language and framework.

Here is some boilerplate from the Kuzu GitHub site highlighting some of its features and unique attributes.

“ Kuzu is an embedded graph database built for query speed and scalability. Kuzu is optimized for handling complex analytical workloads on very large databases and provides a set of retrieval features, such as a full text search and vector indices. Our core feature set includes:


* Flexible Property Graph Data Model and Cypher query language
* Embeddable, serverless integration into applications
* Native full text search and vector index
* Columnar disk-based storage
* Columnar sparse row-based (CSR) adjacency list/join indices
* Vectorized and factorized query processor
* Novel and very fast join algorithms
* Multi-core query parallelism
* Serializable ACID transactions
* Wasm (WebAssembly) bindings for fast, secure execution in the browser “
Score: 7 Votes (Like | Disagree)
10 months ago

Bring back Bento
Sigh….Bento ❤️
Score: 3 Votes (Like | Disagree)
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