BigML vs Weka
BigML
bigml.comWeka
weka.waikato.ac.nzSide by side
| Figure | BigML | Weka |
|---|---|---|
| Price from | $833.33/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 7 | 3 |
| Spec score · Predictive Analytics Software | 9.2 (#1) | 8.2 (#10) |
| Spec score · Data Science Analytics | 9.2 (#1) | 8.2 (#9) |
| Headquarters | BigML lists Corvallis, Oregon as headquarters and Valencia, Spain as its European headquarters. | Hamilton, New Zealand |
| Licence | The hosted BigML platform is proprietary under BigML terms, while selected bindings and libraries are open source. | Weka is GPL software; Weka 3.6 uses GPLv2 while versions later than 3.7.5 use GPLv3. |
| Rating on Capterra | 4.3 out of 5 from 3 reviews | 4.4 out of 5 from 15 reviews |
| Rating on G2 | 4.7 out of 5 from 24 reviews | 4.3 out of 5 from 13 reviews |
| Rating on Software Advice | 4.3 out of 5 from 3 reviews | 4.4 out of 5 from 15 reviews |
| What it does | BigML provides cloud and deployable machine-learning workflows for classification, regression, forecasting, clustering, anomaly detection, association discovery and topic modeling. | Weka is a Java machine-learning workbench for data preparation, classification, regression, clustering, association-rule mining and visualization. |
Plans
BigML
- FREEFree
- Basic BigML training$800, paid once
- BigML Lite$1,000 a month
- Extra Support$3,000 a month
- BigML Lite$10,000 a year
- BigML Lite (annual)$10,000 a year
- Bronze Enterprise$45,000 a year
In their own words
BigML
BigML is a machine-learning platform for classification, regression, forecasting, clustering, anomaly detection, association discovery, and topic modeling. It provides interactive model visualizations, prediction explanations, and field-importance views. Models can be exported in JSON PML or PMML formats for use in programming languages and web, mobile, or IoT applications. OptiML helps select and tune models; WhizzML automates workflows, and Scriptify turns workflows into reusable scripts. Users can work through the REST API and language bindings including Python, Node.js, Ruby, Java, and Swift. Listed integrations include Node-RED, Google Sheets, Zapier, Alexa, Docker, and macOS. BigML runs on web, macOS, API, and self-hosted platforms, with private deployments available on a cloud provider, ISP, or on-premises. The free plan is $0/month and includes up to 60 tasks, a 16 MB per-task dataset limit, and two parallel tasks. Paid plans start at $1,000/month; a three-day trial is available.
Weka
Weka is open-source machine-learning software for building and evaluating models, with support for forecasting and time-series modeling. It is available free under the GNU General Public License, with Weka 3.8 as the stable release and 3.9 as the development version. The stable branch receives fixes and feature updates intended to preserve compatibility; development builds may introduce breaking changes. Weka provides a Java API, Javadoc for its API and command-line parameters, and can also be used through Jupyter notebooks. Official releases require Java 8 or later. Downloads are listed for Windows, Mac OS, and Linux, with Intel and ARM options. Both branches include a package manager for community extensions, though installing packages requires internet access. The software includes built-in help and a comprehensive manual, with additional assistance through documentation, mailing list archives, forums, and a mailing list. Distributed derivative works must use the GPL; commercial projects needing Weka code in a non-GPL program may be able to obtain a suitable license. Models serialized in version 3.7 are incompatible with 3.8, and the migrator has an exception for RandomForest.