BigID Data Masking vs MOSTLY AI
BigID Data Masking
bigid.com
MOSTLY AI
mostly.aiSide by side
| Figure | BigID Data Masking | MOSTLY AI |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · Data Masking Software | 7.6 (#13) | 7.8 (#11) |
| Deployment | The pricing page lists multi-tenant SaaS, single-tenant isolation, self-hosting in a cloud or data center, and fully air-gapped deployment. | The platform can be deployed on Kubernetes or OpenShift, or installed via Minikube on a single VM. |
| Founded | 2016 | 2017 |
| Integrations | BigID names Databricks and Snowflake, catalog tools Alation, Collibra, Informatica, Atlan, Purview, and Unity, security tools Wiz and Splunk, and ServiceNow CMDB, ITSM, and IRM connections. | Listed connectors include MySQL, PostgreSQL, MariaDB, Oracle, MS SQL Server, Snowflake, Databricks, BigQuery, and Azure, GCP, and AWS cloud buckets. |
| Security | The Trust Center describes encryption in transit and at rest, firewalls, access controls, secure development, continuous monitoring, and incident-response processes. | 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. |
| Support | The pricing page describes onboarding and use-case design with BigID experts, support tiers, and professional services for complex or regulated deployments. | Users can contact support by emailing [email protected]. |
Plans
BigID Data Masking
- BusinessPriced on request
- EnterprisePriced on request
- ExpressPriced on request
In their own words
BigID Data Masking
BigID Data Masking has no write-up on Specifiction yet; its figures are above.
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.