BigML vs Datalore
BigML
bigml.com
Datalore
jetbrains.comSide by side
| Figure | BigML | Datalore |
|---|---|---|
| Price from | $833.33/mo | $29.17/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | Yes | — |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 7 | 7 |
| Spec score · Data Science Analytics | 9.2 (#1) | 9.1 (#2) |
| Collaboration | Organizations and projects provide shared workspaces with resource-level roles and permissions. | Real-time notebook collaboration, link or email sharing, access levels and shared workspaces are supported. |
| Company legal name | Crunchbase identifies the legal entity as BigML, Inc. | Crunchbase lists the maker as JetBrains s.r.o., a private active company. |
| Deployment | Private deployments can run on a preferred cloud provider, ISP, or on-premises behind a corporate firewall, as managed or self-managed deployments. | Datalore On-Premises supports Docker Compose or Kubernetes deployment on 64-bit Linux and does not support ARM, macOS, or Windows hosts. |
| Founded | 2011 | 2000 |
| Headquarters | BigML lists Corvallis, Oregon as headquarters and Valencia, Spain as its European headquarters. | Amsterdam, Netherlands |
| Licence | The hosted BigML platform is proprietary under BigML terms, while selected bindings and libraries are open source. | The On-Premises agreement says JetBrains owns Datalore intellectual property and grants a limited subscription right, indicating proprietary software. |
| Rating on Capterra | 4.3 out of 5 from 3 reviews | 4.5 out of 5 from 8 reviews |
| Rating on G2 | 4.7 out of 5 from 24 reviews | 4.8 out of 5 from 6 reviews |
| Rating on Gartner Peer Insights | 4.8 out of 5 from 6 ratings | 4.6 out of 5 from 5 reviews |
| Rating on Software Advice | 4.3 out of 5 from 3 reviews | 4.5 out of 5 from 8 reviews |
| Self-hosting | Private Deployments can run in a public cloud, private cloud or on-premises infrastructure and may be self-managed or fully managed. | On-Premises can run in a customer-controlled cloud, datacenter or hybrid environment using Docker or Kubernetes. |
| Support | BigML Lite includes standard 8x5 email and chat support with a 48-hour maximum response time; Enterprise lists customized email and chat with a 24-hour maximum response time. | The On-Premises plan includes enterprise-grade customer support and solution architect consultations. |
| System requirements | Users must supply compatible hardware, software, connectivity and internet access; the service does not specify a client operating-system requirement. | On-Premises supports 64-bit Linux hosts; ARM, macOS and Windows hosts are unsupported, with Docker Compose or Kubernetes deployment options. |
| What it does | BigML provides cloud and deployable machine-learning workflows for classification, regression, forecasting, clustering, anomaly detection, association discovery and topic modeling. | Datalore is a collaborative web data analytics platform for exploring, analyzing, visualizing and sharing data. |
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
Datalore
- Cloud FreeFree
- Cloud$35 a month
- Cloud FreeFree
- Cloud annual$29.17 a month
- Cloud$35 a month
- Cloud$350.04 a year
- On-PremisesPriced on request
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.
Datalore
Datalore is a collaborative data science platform for exploring, analyzing, visualizing and sharing data. Its Jupyter-compatible notebooks provide coding assistance for Python, Kotlin, Scala and R, with native SQL cells that can transfer query results into pandas DataFrames. Teams can edit code together in real time and share notebooks with view or edit access. Notebooks can become data stories or static and interactive reports. Datalore AI can help write Python, SQL and R code, describe findings and fix errors. Database connections include Amazon Redshift, Azure SQL Database, MariaDB, MySQL, Oracle, PostgreSQL and Snowflake; AWS S3 and Google Cloud Storage buckets can be mounted as notebook folders. The free plan includes 120 CPU S machine hours and 10 GB of cloud storage. The Cloud plan costs $35 a month, billed monthly. On-Premises deployment runs on 64-bit Linux using Docker Compose or Kubernetes, but not on ARM, macOS or Windows hosts. JetBrains states that Datalore deployments are SOC 2 Type II certified and GDPR compliant.