Data Landscape 2021

README.md

201x BI tools

SaaS

Acquired

• BIME

  • Acquired by Zendesk October 2015

• RJMetrics

  • Acquired by Magento August 2016

• Periscope

  • Acquired by Sisense May 2019

• Tableau

  • Acquired by Salesforce August 2019

• Looker

  • Acquired by Google Feb 2020

• Chartio

  • Acquired by Atlassian February 2021

Independent

• Gooddata

• Mode Analytics

• Domo

OSS Core + SaaS

• Superset Preset
  https://superset.apache.org/

• Metabase
  https://www.metabase.com/

• Redash

  • https://redash.io/
  • Acquired by Databricks June 2020

202x data tools

Notebook based BI workflow/workspace tools

SaaS

• Hex
  https://hex.tech/

• Noteable
  https://noteable.io/

• Deepnote
  https://deepnote.com/

• Nextjournal
  https://nextjournal.com/

• Count
  https://count.co/

• Observable
  https://observablehq.com/

OSS

• Polynote
  https://polynote.org/

• Querybook (Pinterest)

  • https://www.querybook.org/
  • https://medium.com/pinterest-engineering/open-sourcing-querybook-pinterests-collaborative-big-data-hub-ba2605558883

Jupyter PaaS

• AWS SageMaker

• Google Cloud Colab

• Microsoft Azure Notebooks

• Domino Data Lab

Jupyter IDEs

• JupyterLab

• nteract
  https://nteract.io/

• VSCode
  https://code.visualstudio.com/docs/python/jupyter-support

• Jetbrains DataSpell
  https://www.jetbrains.com/dataspell/

Jupyter toolkits

• Elyra AI Toolkit (IBM, Watson)
  • https://developer.ibm.com/technologies/artificial-intelligence/blogs/open-source-elyra-ai-toolkit-simplifies-data-model-development/
  • https://github.com/elyra-ai/elyra

Data context/metadata/governance tools

SaaS

• Select Star
  https://selectstar.com/

• Databand
  https://databand.ai/

• Datafold
  https://www.datafold.com/

• Neptune.ai
  https://neptune.ai/

• Monte Carlo
  https://www.montecarlodata.com/

• Castor
  https://www.castordoc.com/

• Bigeye
  https://www.bigeye.com/

OSS Core + SaaS

• dbt, dbt Cloud
  https://www.getdbt.com/

• Amundsen (Lyft), Stemma

  • https://stemma.ai/
    • https://mark-grover.medium.com/production-consumption-gap-75080253244f
  • https://www.amundsen.io/
    • https://eng.lyft.com/amundsen-lyfts-data-discovery-metadata-engine-62d27254fbb9

OSS

• Metacat (Netflix)

  • https://github.com/Netflix/metacat
  • https://netflixtechblog.com/metacat-making-big-data-discoverable-and-meaningful-at-netflix-56fb36a53520

• DataHub (LinkedIn)

  • https://engineering.linkedin.com/blog/2019/data-hub
  • https://github.com/linkedin/datahub
  • SaaS (independent?)
    • https://www.acryldata.io/

• Apache Atlas, Griffin

  • https://atlas.apache.org/#/
  • https://griffin.apache.org/

• Superglue (Intuit)

  • https://github.com/intuit/superglue
  • https://towardsdatascience.com/superglue-journey-of-lineage-data-observability-data-pipelines-23ffb2990b30

Blogware

• Databook (Uber)

  • https://eng.uber.com/metadata-insights-databook/
  • https://eng.uber.com/databook/

• Dataportal (Airbnb)

  • https://medium.com/airbnb-engineering/democratizing-data-at-airbnb-852d76c51770
  • https://medium.com/airbnb-engineering/supercharging-apache-superset-b1a2393278bd

• Lexikon (Spotify)
  https://engineering.atspotify.com/2020/02/27/how-we-improved-data-discovery-for-data-scientists-at-spotify/

Domain specific analytics tools

Product

SaaS

• Indicative
  https://www.indicative.com/

OSS

• PostHog
  https://posthog.com/