TileDB, a Pioneer in the Space of Adaptive
AI-Native Databases, Is Proud to Have Been Included as One of 24
Vector Database Vendors
CAMBRIDGE, Mass., May 7, 2024
/PRNewswire/ -- TileDB Inc., the adaptive database for complex
data and complex compute, today announced its inclusion in
Forrester's The Vector Databases Landscape, Q2 2024
report.
"TileDB is proud to have been included in Forrester's overview
of 24 vector database vendors," says Dr. Stavros Papadopoulos, Founder and CEO at TileDB.
"Our database has powerful vector search functionality, however, it
is more than just a vector database. It is a modern database
architected around arrays, which morph into any data modality
offering unprecedented performance and lowering operational
costs."
Vector databases have recently gained in popularity due to the
advent of generative AI and the proliferation of LLMs.
Organizations have many vector search solutions to choose from:
from special-purpose databases (i.e, databases built from scratch
just for vector search) to libraries and extensions of existing
databases. Forrester's report offers insight into the value
technology and data leaders can derive from a vector database and
lists how vendors differentiate by size, type of offering,
geography and use case.
TileDB is an array database, and its foundational strength is
that it can morph into practically any data modality and
application, delivering unprecedented performance and alleviating
data infrastructure bottlenecks in an organization. A vector is
simply a one dimensional array; therefore, TileDB is the most
natural database choice for delivering vector search
functionality.
Specifically, TileDB offers the following benefits:
- High Performance: Vectors are arrays, and arrays are a
native data structure in TileDB. As such, TileDB delivers 2-10x
faster performance than open source solutions, even under extreme
scenarios.
- Serverless: All deployment modes supported by TileDB are
serverless, even when you need to outgrow your local machine and
scale in the cloud. This has a direct impact on the operational
cost, which TileDB minimizes.
- Cloud-native: TileDB is uber-optimized for object
stores. As such, you can scale your vectors to cloud storage, while
enjoying superb performance. Again, this leads to significant cost
savings, due to the inexpensive cloud object storage and the speed
of all queries.
- Multimodal: TileDB is not just a vector database. TileDB
can store, manage and analyze all your data, which includes the raw
original data from which you generate your vectors, as well as any
other data for which your organization might require a powerful
database. Storing multiple data modalities in a single system
lowers your licensing costs; simplifies your infrastructure and
reduces data engineering; and eliminates data silos enabling a more
sane, holistic governance approach over all your data and code
assets.
TileDB envisions simplifying data infrastructure by unifying
diverse data into a single, modernized database system. As LLMs are
becoming more and more powerful leveraging multiple data
modalities, TileDB is the natural choice to use LLMs for insights
on your diverse data, leveraging natural language as an API.
Imagine extracting instant value from all your data, without
thinking about code syntax in different programming languages,
understanding the underlying peculiarities of the different data
sources, or worrying about security and governance.
"Aside from the use cases listed above, TileDB also supports
data discovery and exploration, data science (AI/ML), as well as
image and video recognition," continues Papadopoulos. "TileDB is an
example of a comprehensive data management solution that seamlessly
integrates vector functionality and has the power to reshape the
landscape of specialized vector databases."
Get started with TileDB
To learn more about TileDB's vector search capabilities, check
out the following resources:
- TileDB-Vector-Search (Github repo)
- TileDB 101: Vector Search
- TileDB Vector Search with LangChain
- Docs
- Bridging analytics, LLMs and data products in a single
database (webinar with Sanjeev
Mohan)
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SOURCE TileDB