Alternatives

Products that do what BigObject – Run your data analysis faster does

1HI
Heap is a new approach to analytics. Just capture everything▲339
2013 · heapanalytics.com
2
BigML▲64
Machine learning as a service - build predictive apps
2014
3AA
Ananas – a hackable data tool for beginners▲359
2019 · ananasanalytics.com
4SF
SQueaLy – Fast track analytics for business▲163
2017 · github.com
5EA
Egeria, a multidimensional spreadsheet for everybody▲113
2018 · egeria.rocks
6DS
Dtab – Spreadsheet for Data Science▲229
2015 · dtab.io
7
Periscope Data Cache▲174
150X faster data analysis
2015
8RW
Real world (Jupyter notebook embed) way to assess data scientists▲134
2019 · hackerrank.com
9EA
EasyDB – A One-Click Ephemeral Database▲158
2019 · easydb.io
10OA
Octo.ai, Open source analytics hypervisor▲67
2016 · octo.ai
11VO
Vaex - Out of Core Dataframes for Python and Fast Visualization▲126
2018 · medium.com
12OS
Open-Source Business Intelligence for BigQuery – Looker Alternative▲95
2019 · mprove.io
13
Data Robot▲92
Build Better Predictive Models — Faster
2014
14HA
Hamilton, a Microframework for Creating Dataframes▲64
2021 · github.com
15KK
KubeDB – Kubernetes-ready production-grade databases▲108
2018 · kubedb.com
16SA
Sense - A New Cloud Platform for Data Science and Big Data Analytics▲64
2014 · senseplatform.com
17GA
GridCraft, an advanced spreadsheet for data analysis and analytics▲18
2014 · gridcraft.com
18BB
Boat – Big O analysis tool▲24
2019 · boat.algorithm.city
19
Continuuity▲62
Build big data apps quickly and easily.
2014
20AV
Automate Variable Selection for Research on Big Datasets (Open-Source)▲8
2024 · github.com
21AA
Arvados, a free software storage and compute platform for big data▲6
2016 · github.com
22KA
Kill Analytics▲21
2016 · hello-kill.github.io
23ZE
ZenML, extensible open-source MLOps framework for reproducible ML▲37
2020 · github.com
24DD
drive-db: A Google spreadsheet database▲25
2015 · github.com

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