MOSTLY AI vs YData SDK
MOSTLY AI
mostly.ai
YData SDK
ydata.aiSide by side
| Figure | MOSTLY AI | YData SDK |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Synthetic Data Generation Software | 8.2 (#4) | 7.9 (#10) |
| Spec score · Data De-Identification Tools | 7.8 (#4) | 7.9 (#3) |
| Deployment | The platform can be deployed on Kubernetes or OpenShift, or installed via Minikube on a single VM. | YData says its platform can be deployed on customer cloud or on-premises infrastructure so data does not transfer between the customer and YData. |
| Integrations | Listed connectors include MySQL, PostgreSQL, MariaDB, Oracle, MS SQL Server, Snowflake, Databricks, BigQuery, and Azure, GCP, and AWS cloud buckets. | Documented connectors include local files, Amazon S3, Azure Blob Storage, Google Cloud Storage, BigQuery, Microsoft SQL Server, MySQL, Snowflake, and Databricks. |
| Security | The maker says the platform is SOC 2 and ISO 27001 certified and offers on-premises installation, including air-gapped environments, and private cloud deployment. | YData states that it is a SOC 2 Type 2 certified company. |
| Support | Users can contact support by emailing [email protected]. | The SDK documentation directs users to contact YData for support and other inquiries. |
Plans
In their own words
MOSTLY AI
MOSTLY AI is a data intelligence platform for accessing production data, generating synthetic, mock and simulated data, and analyzing data. Its assistant lets users request Python code in natural language and run it for analysis. The open-source Synthetic Data SDK supports local generation and uses the Apache v2 license. The platform handles numerical, categorical, date-time, text and geolocation data; it can synthesize relational tables while preserving their relationships. Other controls include Data Insights Reports, data rebalancing, missing-value imputation and generation temperature settings. Listed database connectors include MySQL, PostgreSQL, MariaDB, Oracle, Microsoft SQL Server, Snowflake, Databricks, BigQuery and Apache Hive; cloud bucket connectors include Azure, GCP and AWS. An API and Python client support integration into applications and workflows. Deployment options include Kubernetes, OpenShift and Minikube, as well as on-premises, private-cloud and air-gapped installations. The maker says the platform is SOC 2 and ISO 27001 certified. A single-node Kubernetes deployment requires at least 24 CPU cores, 48 GB RAM and 256 GB storage. The free plan is free, with no further limits stated. It is available via API, Linux, self-hosting and web.