Powered by the Northstar engine developed at MIT and Brown University

Einblick is based on 6 years of research done at Massachusetts Institute of Technology (MIT) and Brown University as part of the DARPA Data Driven Discovery of Models (D3M) program and several NSF grants.

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Philipp Eichmann, Emanuel Zgraggen, Carsten Binnig, Tim Kraska: IDEBench: A Benchmark for Interactive Data Exploration. SIGMOD Conference 2020: 1555 1569
“Delays of 500ms incurred significant costs, decreasing user activity and data set coverage while reducing rates of observation, generalization and hypothesis.”
Zhicheng Liu, Jeffrey Heer
The Effects of Interactive Latency on Exploratory Visual Analysis. IEEE Trans. Vis. Comput. Graph. 20(12): 2122 2131 2014
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The smartest assistants

The first interactive data mining and Auto-ML tool

Our award-winning smart assistants help to automatically find statistically significant insights and build models in sub-seconds rather than hours. It enables everyone to do tasks only data scientists can do now.

In 80% of the cases, Einblick’s models were better than DARPA’s expert solution.
Zeyuan Shang, Emanuel Zgraggen, Benedetto Buratti, Ferdinand Kossmann, Philipp Eichmann, Yeounoh Chung, Carsten Binnig, Eli Upfal, Tim Kraska: Democratizing Data Science through Interactive Curation of ML Pipelines. SIGMOD Conference 2019: 1171-1188

Based on years of cutting-edge research

Einblick is powered by the Northstar engine, which was originally developed by MIT and Brown University over 6 years of research. The results have been published in various top-tier systems, machine-learning, and human-computer interactions conferences and journals

Zeyuan Shang, Emanuel Zgraggen, Benedetto Buratti, Philipp Eichmann, Navid Karimeddiny, Charlie Meyer, Wesley Runnels, Tim Kraska

Davos: A System for Interactive Data-Driven Decision Making
PVLDB 14(12): 2893 - 2905, 2021.

Zeyuan Shang, Emanuel Zgraggen, Benedetto Buratti, Ferdinand Kossmann, Philipp Eichmann, Yeounoh Chung, Carsten Binnig, Eli Upfal, Tim Kraska

Democratizing Data Science through Interactive Curation of ML Pipelines
SIGMOD2019

Tim Kraska

Northstar: An Interactive Data Science System
PVLDB 11(12): 2150-2164 (2018)

Yeounoh Chung, Sacha Servan-Schreiber, Emanuel Zgraggen, Tim Kraska

Towards Quantifying Uncertainty in Data Analysis & Exploration
IEEE Data Eng. Bull.41(3): 15-27 (2018)

Carsten Binnig, Benedetto Buratti, Yeounoh Chung, Cyrus Cousins, Tim Kraska, Zeyuan Shang, Eli Upfal, Robert Zeleznik, Emanuel Zgraggen

Towards Interactive Curation & Automatic Tuning of ML Pipelines
DEEM@SIGMOD 2018: 1:1-1:4

Yeounoh Chung, Michael Lind Mortensen, Carsten Binnig, Tim Kraska

Estimating the Impact of Unknown Unknowns on Aggregate Query Results.
ACM Trans. Database Syst. 43(1): 3:1-3:37 (2018)

Emanuel Zgraggen, Zheguang Zhao, Robert C. Zeleznik, Tim Kraska

Investigating the Effect of the Multiple Comparisons Problem in Visual Analysis
CHI2018: 479

Alex Galakatos, Andrew Crotty, Emanuel Zgraggen, Carsten Binnig, Tim Kraska

Revisiting Reuse for Approximate Query Processing
PVLDB 10(10): 1142-1153 (2017)

Emanuel Zgraggen, Alex Galakatos, Andrew Crotty, Jean-Daniel Fekete, Tim Kraska

How Progressive Visualizations Affect Exploratory Analysis
IEEE Trans. Vis. Comput. Graph. 23(8): 1977-1987 (2017)

Carsten Binnig, Lorenzo De Stefani, Tim Kraska, Eli Upfal, Emanuel Zgraggen, Zheguang Zhao

Toward Sustainable Insights, or Why Polygamy is Bad for You
CIDR 2017

Yue Guo, Carsten Binnig, Tim Kraska


What you see is not what you get!: Detecting Simpson's Paradoxes during Data Exploration
HILDA@SIGMOD 2017: 2:1-2:5

Tim Kraska

Approximate Query Processing for Interactive Data Science
SIGMOD Conference 2017: 525

Zheguang Zhao, Lorenzo De Stefani, Emanuel Zgraggen, Carsten Binnig, Eli Upfal, Tim Kraska

Controlling False Discoveries During Interactive Data Exploration
SIGMOD Conference 2017: 527-540

Philipp Eichmann, Emanuel Zgraggen, Zheguang Zhao, Carsten Binnig, Tim Kraska

Towards a Benchmark for Interactive Data Exploration
IEEE Data Eng. Bull. 39(4): 50-61 (2016)

Muhammad El-Hindi, Zheguang Zhao, Carsten Binnig, Tim Kraska

VisTrees: fast indexes for interactive data exploration
HILDA@SIGMOD2016: 5

Andrew Crotty, Alex Galakatos, Emanuel Zgraggen, Carsten Binnig, Tim Kraska

The case for interactive data exploration accelerators (IDEAs)
HILDA@SIGMOD 2016: 11

Andrew Crotty, Alex Galakatos, Emanuel Zgraggen, Carsten Binnig, Tim Kraska

Vizdom: Interactive Analytics through Pen and Touch
PVLDB 8(12): 2024-2027 (2015)

Evan R. Sparks, Ameet Talwalkar, Daniel Haas, Michael J. Franklin, Michael I. Jordan, Tim Kraska

Automating model search for large scale machine learning
SoCC 2015: 368-380

Emanuel Zgraggen, Robert C. Zeleznik, Steven M. Drucker

PanoramicData: Data Analysis through Pen & Touch
IEEE Trans. Vis. Comput. Graph. 20(12): 2112-2121 (2014)

Tim Kraska et al

MLbase: A Distributed Machine-learning System
CIDR 2013