SDV Enterprise

Overview

SDV Enterprise is a programmable Python SDK for generating synthetic structured data. It is best suited to teams modeling connected database tables while keeping workloads in their own environment. Its strongest case is control over data generation and deployment; its cost and usage terms deserve close attention.

Key features

The SDK creates data with properties and formats like real data, covering database tables, CSV, Excel and JSON. It supports single-table, multi-table and sequential data. Multi-table modeling is the standout: learning relationships across tables can produce more useful test data for systems whose records depend on one another than treating each table in isolation.

Users can select from hundreds of data-processing options, anonymize sensitive personal information and supply business logic to guide the model. AI Connectors detect database metadata, import training subsamples and export synthetic data in the original database format. They support AlloyDB, BigQuery, MSSQL, Oracle, PostgreSQL and Spanner.

The downloadable SDK can run in a secure environment or on premises without GPUs. DataCebo says customer data and generated models stay in the customer environment and are not hosted, stored or accessed by the company. Telemetry may include usage and diagnostic data—such as synthesizers used, sampled cells, performance, errors and crash reports—but excludes customer data and created models. Teams with strict controls should weigh that telemetry against their policies.

Pricing

SDV Community costs nothing, with no-cost billing. It includes five data types, five basic constraints, nine models, CSV and Excel support, and forum support. This is a sensible starting point for limited workflows, but its narrower model and format coverage makes it a weaker fit for broader enterprise needs.

SDV Bundles costs $250 a month, billed per bundle per user plus usage. It includes CAG, XSynthesizers, Targeted Sampling, Differential Privacy and AI Connectors. This is the lower-priced paid route for teams seeking those capabilities, but the per-user, per-bundle charge and additional usage billing mean the monthly price is not the whole cost.

SDV Enterprise Base costs $500 a month, billed per user plus usage. It includes 12+ models, 10+ data types, an AI Connectors add-on and dedicated forum support. The larger model and data-type selection suits teams that need more coverage than Community offers; AI Connectors are an add-on rather than included in the base plan. Both paid plans use pay-as-you-go billing for synthetic data created, with a spending cap users can set for monthly cost control. Support is through a public forum, with commercially reasonable efforts to answer up to 10 inquiries a month within 2 to 3 business days. There is no free trial.

Platforms

SDV Enterprise supports Linux, Windows and macOS, with specified 64-bit Python and pip requirements. Its self-hosted deployment suits teams that need the SDK to operate inside a controlled environment; it is not a GPU-dependent workload.

Who it's for

Choose SDV Enterprise when synthetic data must preserve relationships across tables, connect to supported databases, or be generated within an organization’s own environment. It is less compelling for individual users or teams that need predictable costs without usage billing, or for projects that fit the Community plan’s smaller set of models and data types.

Pros and cons

Pro: Multi-table modeling learns intertable patterns, useful for generating connected records rather than disconnected table samples.

Pro: Self-hosted operation and the stated customer-data boundary support workflows that cannot send data to a vendor-hosted service.

Pro: Database connectors cover six named systems and can export in the source database format.

Con: Paid plans add usage billing to per-user or per-bundle fees, so cost depends on both plan choice and generation volume.

Con: AI Connectors are an add-on on Enterprise Base, while Community is limited to five data types and nine models.

Con: Telemetry can transmit diagnostic and usage data, and support is bounded by a monthly inquiry target and response window.

Alternatives

For a broader directory of options, see Synthetic Data Generation Software.

Synth Studio is a free alternative with a plan capped at up to 1M rows per generation and an MIT License; consider it when that free limit fits the workload.

YData SDK offers a free monthly credit, all features and 20+ connectors, plus a pay-as-you-go plan at $1; it may suit teams prioritizing connector breadth and a free entry point.

NVIDIA ShadowPlay is a free Windows app requiring Windows 10 or 11, a GeForce 551.52 driver or later and a supported GPU.

Tonic.ai has a freemium Fabricate Plus plan at $29 a month, including $25 of monthly credits, basic data export options and Discord and email support; consider it if those terms better suit your budget.

Anyverse is a paid web-based alternative with a free trial.

MOSTLY AI has a free plan and supports API, Linux, self-hosted and web platforms; consider it if a free starting point is the priority.

SynthEngyne provides 1,000 free credits each month without a credit card; its stated rates are one credit per text, tabular or time-series row and 10 credits per image.

Synthetic AI Data offers a free plan and supports API, self-hosted and web platforms.

Verdict

SDV Enterprise is a strong fit for data teams that need programmable, self-hosted synthetic data with multi-table modeling and database connectors. Choose it for that combination and the ability to cap monthly spending; look elsewhere if usage-based charges or the telemetry policy do not suit your requirements.