Activeloop Hub VS TileDB

Compare Activeloop Hub vs TileDB and see what are their differences.

Activeloop Hub

Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake] (by activeloopai)
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Activeloop Hub TileDB
31 12
4,807 1,746
- 2.4%
9.9 9.7
over 1 year ago about 16 hours ago
Python C++
Mozilla Public License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Activeloop Hub

Posts with mentions or reviews of Activeloop Hub. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-19.
  • [D] NLP has HuggingFace, what does Computer Vision have?
    7 projects | /r/MachineLearning | 19 Apr 2022
    u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :)
  • [N] [P] Access 100+ image, video & audio datasets in seconds with one line of code & stream them while training ML models with Activeloop Hub (more at docs.activeloop.ai, description & links in the comments below)
    4 projects | /r/MachineLearning | 17 Apr 2022
    u/gopietz good question. htype="class_label" will work, but querying doesn't support multi-dimensional labels yet. Would you mind opening an issue requesting that feature?
    4 projects | /r/MachineLearning | 17 Apr 2022
    We've recently added a Huggingface integration that allows ingestion of HuggingFace datasets.
  • [P] Database for AI: Visualize, version-control & explore image, video and audio datasets
    6 projects | /r/MachineLearning | 17 Feb 2022
    Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know!
    6 projects | /r/MachineLearning | 17 Feb 2022
    Our early users love the tool and I hope you'll love it too. We have many more features other than visualization on the roadmap (the current feature list includes querying, version control UI, and integrates through our open-source package Hub (dataset format for AI) with TensorFlow, PyTorch, Sagemaker, other tools on the roadmap.
    6 projects | /r/MachineLearning | 17 Feb 2022
    Please take a look at our open-source dataset format https://github.com/activeloopai/hub and a tutorial on htypes https://docs.activeloop.ai/how-hub-works/visualization-and-htype
    6 projects | /r/MachineLearning | 17 Feb 2022
    The platform allows to: - Inspect the data with all its bounding boxes, masks, etc, and have important stats such as distribution of the labels (adding more stuff in the future to fight bias and improve data quality). - Query datasets to create new, highly specific ones - Version control datasets (while visualizing the changes). I'm confident that if you've ever worked on iteratively improving your models, dataset versioning is probably something you've done. - Stream computer vision datasets while training in PyTorch/Tensorflow via Hub, our open source package (we might add an even more straightforward way to the UI). - For larger organizations access management is important, and we do take care of that.
    6 projects | /r/MachineLearning | 17 Feb 2022
    The visualization interfaces with our open-source dataset format for AI, enabling workflows such as querying/filtering to create datasets/inspect subsamples, tracking changes to the data with data version control visualization (e.g. cross-referencing if the transformations applied had intended effects), and will have integrations with other tools (e.g. experiment tracking, labelling) very soon.
    6 projects | /r/MachineLearning | 17 Feb 2022
    Yes, we're not entirely relevant for your use case, especially if the data is not that big/complex, and benefits that you'd get from switching to Hub format are not as pronounced in case of text as they are in case of computer vision datasets (actually, we still have a couple of diehard NLP community members, but they have ridiculously big text datasets). I presume your university system doesn't use unstructured data like videos/images/audio, either, so our product wouldn't be very helpful in that regard. I do wish you tons of luck and patience though (>10ˆ6?! good Lord...)
  • The hand-picked selection of the best Python libraries released in 2021
    12 projects | /r/Python | 21 Dec 2021
    Hub.

TileDB

Posts with mentions or reviews of TileDB. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-01.
  • Ask HN: Who is hiring? (September 2023)
    14 projects | news.ycombinator.com | 1 Sep 2023
    Blog: https://tiledb.com/blog

    We offer the ability to work remotely for anyone with legal residence in the US or Greece. We have several open positions aimed at increasing TileDB’s feature set, growth, and adoption. You will have the opportunity to work on innovative technology that creates impact on challenging and exciting problems in genomics, geospatial, machine learning, distributed systems and database internals, and more.

    We are actively seeking:

    - Javascript library Engineer

    - Senior Software Engineer: Backend (Golang, CGo, k8s, Terraform, MySQL/MariaDB)

    - Senior Software Engineer: Python API (pybind11, Python, C++, CMake, scikit-build, conda)

    - Senior Software Engineer: Python Data Science Tooling (Jupyter plugins)

    - Senior Software Engineer: Build (CMake/C++, conda, wheels, and other packaging systems)

    - Senior+ Software Engineer: Database Internals (C++, database query planning/execution, distributed execution)

    Apply today at https://tiledb.workable.com!

    14 projects | news.ycombinator.com | 1 Sep 2023
    - single cell genomics: in collaboration with the Chan-Zuckerberg Initiative, we recently released TileDB-SOMA for single cell data, with APIs for both Python and R built around a common storage specification: https://tiledb.com/blog/tiledb-101-single-cell

    With TileDB, all data — tables, genomics, images, videos, location, time-series — across multiple domains is captured as multi-dimensional arrays. TileDB Cloud implements a totally serverless infrastructure and delivers access control, easier data and code sharing and distributed computing at global scale, eliminating cluster management, minimizing TCO and promoting scientific collaboration and reproducibility.

    Website: https://tiledb.com

    GitHub: https://github.com/TileDB-Inc/TileDB

  • Why TileDB as a Vector Database
    2 projects | news.ycombinator.com | 2 Aug 2023
    Stavros from TileDB here (Founder and CEO). I thought of requesting some feedback from the community on this blog. It was only natural for a multi-dimensional array database like TileDB to offer vector (i.e., 1D array) search capabilities. But the team managed to do it very well and the results surprised us. We are just getting started in this domain and a lot of new algorithms and features are coming up, but the sooner we get feedback the better.

    TileDB-Vector-Search Github repo: https://github.com/TileDB-Inc/TileDB-Vector-Search

    TileDB-Embedded (core array engine) Github repo: https://github.com/TileDB-Inc/TileDB

    TileDB 101: Vector Search (blog to get kickstarted): https://tiledb.com/blog/tiledb-101-vector-search/

  • Ask HN: Who is hiring? (August 2023)
    13 projects | news.ycombinator.com | 1 Aug 2023
    TileDB, Inc. | Full-Time | REMOTE | USA | Greece | https://tiledb.com

    TileDB is the database for complex data, allowing data scientists, researchers, and analysts to access, analyze, and share any data with any tool at global scale. We have just launched a vector search library leveraging TileDB and TileDB Cloud for powerful local search and seamless scaling to multi-modal organizational datasets and batched computation: https://tiledb.com/blog/why-tiledb-as-a-vector-database

    With TileDB, all data — tables, genomics, images, videos, location, time-series — across multiple domains is captured as multi-dimensional arrays. Our vector search library and other offerings are designed to empower these datasets with extreme interoperability via numerous APIs and tool integrations across the data science ecosystem, eliminating the hassles and inefficiencies of data conversion. TileDB Cloud implements a totally serverless infrastructure and delivers access control, easier data and code sharing and distributed computing at global scale, eliminating cluster management, minimizing TCO and promoting scientific collaboration and reproducibility.

  • Ask HN: Who is hiring? (December 2022)
    14 projects | news.ycombinator.com | 1 Dec 2022
    TileDB, Inc. | Full-Time | REMOTE | USA | Greece | https://tiledb.com

    TileDB transforms the lives of analytics professionals and data scientists with a universal database, allowing them to access, analyze, and share any data with any tool at global scale. TileDB unifies the way we think about data, delivering superior performance and foundational data management capabilities. All data — tables, genomics, images, videos, location, time-series — across multiple domains is captured as multi-dimensional arrays. TileDB offers extreme interoperability via numerous APIs and tool integrations across the data science ecosystem, eliminating the hassles and inefficiencies of data conversion. TileDB Cloud implements a totally serverless infrastructure and delivers access control, easier data and code sharing and distributed computing at global scale, eliminating cluster management, minimizing TCO and promoting scientific collaboration and reproducibility.

    TileDB, Inc. was spun out of MIT and Intel Labs in May 2017 and is backed by Two Bear Capital, Nexus Venture Partners, Uncorrelated Ventures, Intel Capital and Big Pi.

    Recent HN article: https://news.ycombinator.com/item?id=23896131

    Website: https://tiledb.com

    GitHub: https://github.com/TileDB-Inc/TileDB

    Docs: https://docs.tiledb.com

    Blog: https://tiledb.com/blog

    Our headquarters are located in Cambridge, MA and we have a subsidiary in Athens, Greece. We offer the ability to work remotely. If you are located outside of the USA and Greece we have options to accommodate this, don't hesitate to apply!

    We have several open positions aimed at increasing TileDB’s feature set, growth and adoption. You will have the opportunity to work on innovative technology that creates impact on challenging and exciting problems in Genomics, Geospatial, Time Series, and more. Immediate features on the roadmap for TileDB Cloud include, advanced distributed computations, advanced computation pushdown, improved multi-cloud deployments and more.

    We are actively seeking:

    - Senior Golang Engineer

    - Senior Python Engineer

    - Site Reliability Engineer

    - React Frontend Engineer

    Apply today at https://tiledb.workable.com !

  • Why isn’t there a decent file format for tabular data?
    13 projects | news.ycombinator.com | 3 May 2022
    Hi folks, Stavros from TileDB here. Here are my two cents on tabular data. TileDB (Embedded) is a very serious competitor to Parquet, the only other sane choice IMO when it comes to storing large volumes of tabular data (especially when combined with Arrow). Admittedly, we haven’t been advertising TileDB’s tabular capabilities, but that’s only because we were busy with much more challenging applications, such as genomics (population and single-cell), LiDAR, imaging and other very convoluted (from a data format perspective) domains.

    Similar to Parquet:

    * TileDB is columnar and comes with a lot of compressors, checksum and encryption filters.

    * TileDB is built in C++ with multi-threading and vectorization in mind

    * TileDB integrates with Arrow, using zero-copy techniques

    * TileDB has numerous optimized APIs (C, C++, C#, Python, R, Java, Go)

    * TileDB pushes compute down to storage, similar to what Arrow does

    Better than Parquet:

    * TileDB is multi-dimensional, allowing rapid multi-column conditions

    * TileDB builds versioning and time-traveling into the format (no need for Delta Lake, Iceberg, etc)

    * TileDB allows for lock-free parallel writes / parallel reads with ACID properties (no need for Delta Lake, Iceberg, etc)

    * TileDB can handle more than tables, for example n-dimensional dense arrays (e.g., for imaging, video, etc)

    Useful links:

    * Github repo (https://github.com/TileDB-Inc/TileDB)

    * TileDB Embedded overview (https://tiledb.com/products/tiledb-embedded/)

    * Docs (https://docs.tiledb.com/)

    * Webinar on why arrays as a universal data model (https://tiledb.com/blog/why-arrays-as-a-universal-data-model)

    Happy to hear everyone’s thoughts.

  • TileDB VS Activeloop hub - a user suggested alternative
    2 projects | 20 Oct 2021
  • Ask HN: Who is hiring? (January 2021)
    15 projects | news.ycombinator.com | 4 Jan 2021
    TileDB, Inc. | Full-Time | REMOTE | USA | Greece | https://tiledb.com

    TileDB, Inc. is the company behind TileDB, the first universal data engine. TileDB allows analytics professionals and data scientists to access, analyze, and share complex data sets with any tool at extreme scale. TileDB overcomes the constraints of columnar tables, flat files, and SQL-only tools, handling all data with a multi-dimensional array engine and extreme interoperability across the data science ecosystem. TileDB Cloud is a totally serverless offering of TileDB, which delivers access control and enables distributed computing at planet-scale, eliminating all cluster management and minimizing cost. TileDB, Inc. was spun out of MIT and Intel Labs in May 2017 and closed a $15M Series A in July 2020, following a previous $4M Seed Round.

    Recent HN article: https://news.ycombinator.com/item?id=23896131

    Website: https://tiledb.com

    GitHub: https://github.com/TileDB-Inc/TileDB

    Docs: https://docs.tiledb.com

    Blog: https://tiledb.com/blog

    Our headquarters are located in Cambridge, MA and we have a subsidiary in Athens, Greece. We offer the ability to work remotely, but the candidates must reside either in the US or in Greece. US candidates must be US citizens, whereas Greek candidates must be Greek or EU citizens.

    We have several open positions aimed at increasing TileDB’s feature set, growth and adoption. You will have the opportunity to work on innovative technology that creates impact on challenging and exciting problems in Genomics, Geospatial, Time Series, and more. A few features on the roadmap include enhancing our TileDB Cloud offering, optimizing our serverless framework, improving integration with JupyterLab, and expanding our marketplace functionality.

    We are primarily seeking:

    - Senior Golang Engineer

    Apply today at https://tiledb.workable.com !

What are some alternatives?

When comparing Activeloop Hub and TileDB you can also consider the following projects:

ClickHouse - ClickHouse® is a free analytics DBMS for big data

dvc - 🦉 ML Experiments and Data Management with Git

RocksDB - A library that provides an embeddable, persistent key-value store for fast storage.

MongoDB C Driver - The Official MongoDB driver for C language

LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

libmdbx - One of the fastest embeddable key-value ACID database without WAL. libmdbx surpasses the legendary LMDB in terms of reliability, features and performance.

petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

CKAN - CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.

soci - Official repository of the SOCI - The C++ Database Access Library

SQLite - Unofficial git mirror of SQLite sources (see link for build instructions)

datasets - TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

MongoDB Libbson