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MOSTLY AI vs Synth Studio

MOSTLY AI

mostly.ai

Synth Studio

synthdata.studio

Side by side

FigureMOSTLY AISynth Studio
Price fromFreeFree
Free planYesYes
Free trial——
Open source—Yes
WebYesYes
Windows—Yes
macOS—Yes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · Synthetic Data Generation Software8.2 (#4)8.3 (#3)
Spec score · AI Synthetic Data Generators8.1 (#9)8.3 (#6)
DeploymentThe platform can be deployed on Kubernetes or OpenShift, or installed via Minikube on a single VM.Synth Studio is open source, self-hostable, and also available through its cloud offering.
SupportUsers can contact support by emailing [email protected].Support resources include interactive API documentation, a Postman collection, GitHub Issues, GitHub Discussions and a security contact email.

Plans

MOSTLY AI

  • FreeFree

MOSTLY AI pricing →

Synth Studio

  • Free to UseFree

Synth Studio pricing →

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.

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Synth Studio

Synth Studio generates synthetic tabular datasets with mathematical privacy guarantees. It accepts CSV and JSON files and detects their schemas automatically. Generation options include CTGAN, TVAE, GaussianCopula and schema-based methods. Differential privacy settings can be configured with epsilon and delta, using RDP accounting. Quality tools assess statistical similarity, machine-learning utility and privacy leakage, while automatic PII detection identifies fields such as names, emails and SSNs before generation. The product provides compliance reporting for HIPAA, GDPR, CCPA and SOC-2, alongside audit logs and model cards. Synth Studio is open source and can be self-hosted or used through its cloud offering. Local installation documentation lists Windows 10+, macOS 10.15+ and Linux. The free plan is free for up to 1 million rows per generation under an MIT License. REST API integration is available, but direct API access currently requires a session cookie or trusted proxy headers; API keys are upcoming. Documented API limits include 1,000 authenticated requests per minute and five concurrent generation jobs.

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