MOSTLY AI vs Syntho
MOSTLY AI
mostly.ai
Syntho
syntho.aiSide by side
| Figure | MOSTLY AI | Syntho |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Synthetic Data Generation Software | 8.2 (#4) | 7.0 (#25) |
| Spec score · AI Synthetic Data Generators | 8.1 (#9) | 7.0 (#20) |
| Spec score · Data Masking Software | 7.8 (#11) | 6.9 (#19) |
| Deployment | The platform can be deployed on Kubernetes or OpenShift, or installed via Minikube on a single VM. | Syntho runs in a customer environment, including air-gapped environments, and supports Docker Compose and Kubernetes deployment. |
| Integrations | Listed connectors include MySQL, PostgreSQL, MariaDB, Oracle, MS SQL Server, Snowflake, Databricks, BigQuery, and Azure, GCP, and AWS cloud buckets. | Syntho lists connectors including PostgreSQL, SQL Server, Oracle, MySQL, Databricks, IBM DB2, MariaDB, Azure Data Lake, and Amazon S3. |
| Product | The Data Intelligence Platform provides access to production data, synthetic data generation, mock data generation, simulated data, and data analysis. | Syntho combines synthetic data masking, rule-based generation, and AI-generated synthetic data in one test data management platform. |
| Support | Users can contact support by emailing [email protected]. | Pricing includes support, and the FAQ describes documentation, ticketing, dedicated communication, and onboarding guidance. |
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.