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MOSTLY AI vs Synthetic Data Vault

MOSTLY AI

mostly.ai

Synthetic Data Vault

sdv.dev

Side by side

FigureMOSTLY AISynthetic Data Vault
Price fromFree$250/mo
Free planYesYes
Free trial——
Open source——
WebYes—
LinuxYes—
APIYesYes
Self-hostedYesYes
Plans published13
Spec score · Synthetic Data Generation Software8.2 (#4)7.8 (#12)
Spec score · AI Synthetic Data Generators8.1 (#9)7.8 (#13)
Spec score · Test Data Generation Tools7.7 (#12)7.6 (#15)
Spec score · Test Data Management Software7.7 (#11)7.7 (#13)
Data typesThe platform supports structured numerical, categorical, and date-time data, plus text and geolocation data.SDV supports single-table, sequential, and multi-table (relational) data.
DeploymentThe platform can be deployed on Kubernetes or OpenShift, or installed via Minikube on a single VM.SDV Community is a Python SDK that can be installed and used on-prem; the page says it was developed on Python 3.9–3.14.
Founded20172020
IntegrationsListed connectors include MySQL, PostgreSQL, MariaDB, Oracle, MS SQL Server, Snowflake, Databricks, BigQuery, and Azure, GCP, and AWS cloud buckets.The AI Connectors bundle supports database schema metadata detection, AI-ready data subsampling, and synthetic data export in the original database format.
SupportUsers can contact support by emailing [email protected].The pricing page says Community and Enterprise users can get help through the DataCebo Forum, with Enterprise support prioritized during busy periods.

Plans

MOSTLY AI

  • FreeFree

MOSTLY AI pricing →

Synthetic Data Vault

  • SDV CommunityFree
  • SDV Bundles$250 a month
  • SDV Enterprise Base$500 a month

Synthetic Data Vault 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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Synthetic Data Vault

Synthetic Data Vault (SDV) is a Python library and software platform for creating synthetic data from real data. It supports single-table, sequential, and relational multi-table datasets. Users train synthesizers with different AI algorithms, generate data on demand, and evaluate quality with diagnostic and comparison tools. Constraints, preprocessing adjustments, and anonymization options provide additional control. SDV Community is an on-premises Python SDK developed on Python 3.9–3.14. Its free plan includes five data types, five basic constraints, nine models, CSV and Excel support, local file types, forum support, and limited commercial use. AI Connectors provide database metadata detection, data subsampling, and export in the original database format, with listed connectors for AlloyDB, BigQuery, MSSQL, Oracle, PostgreSQL, and Spanner. Differential Privacy uses an ε privacy-loss budget to balance privacy and quality. Paid options are SDV Bundles at $250 a month per bundle plus usage per user, and Enterprise Base at $500 a month plus usage per user.

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