Datacyclic review
A broad database archiving platform for teams planning modern cloud-based retention.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Datacyclic is an enterprise data archiving platform for organizations retiring legacy applications, reducing active-system storage, and preserving historical information. It moves eligible data into customer-controlled archive storage while retaining metadata, schema, lineage, retention rules, legal holds, and audit history. Database teams can use it across Oracle, SQL Server, PostgreSQL, MySQL, JDBC sources, files, object stores, and SaaS exports. Deployment options include cloud, on-premises, and hybrid environments, making it suitable for organizations with varied infrastructure requirements.
The platform’s strongest area is lifecycle control. Retention policies and lifecycle management govern archived information, while legal holds can preserve data that should not be purged. Policy-driven purge supports controlled removal, and archived-data browsing and search help teams locate historical records. Selective and full dataset restore provide two recovery paths, while audit history and logging support traceability. SSO and role-based access control add administrative controls for teams managing sensitive archives.
Datacyclic also fits teams evaluating modern archive formats and customer-controlled storage. Parquet-based archive storage is paired with connections to AWS Glue, AWS S3, Azure Blob, and Google Cloud Storage, alongside database and file-based sources. Pricing is handled through contact sales, with the engagement described as depending on data volume, application scale, deployment, usage, and services, so buyers should expect a scoped commercial process rather than a published plan comparison. Founded in 2025, Datacyclic has limited maturity evidence; organizations prioritizing an established operating history may prefer an alternative. It is a strong candidate for database teams planning application retirement, retention, and restore workflows, but less suited to buyers seeking simple, self-serve archiving.
Datacyclic pros and cons
- Where it wins
- Parquet-based storage with database-to-database archiving
- Retention, legal holds, purge, search, restore, and audit history
- Cloud, on-premises, and hybrid deployment with broad connections
- Where it doesn't
- Pricing requires a contact-sales engagement
- Founded in 2025, with limited maturity evidence
- Enterprise scope may require planning across policies, storage, and access
Datacyclic fact sheet, pricing and score →
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