K2view Dynamic Data Virtualization
5.4#20 in data virtualization softwareWebAPILinuxSelf-hosted
VisitK2view Dynamic Data Virtualization vs PrestoDB
What both publish
| Fact | K2view Dynamic Data Virtualization | PrestoDB |
|---|---|---|
| Connectors | K2view says it provides adapters for relational and non-relational databases and file systems. | The documentation lists connectors for systems including Hive, Iceberg, Kafka, Cassandra, MongoDB, MySQL, PostgreSQL, BigQuery, Redshift, and SQL Server. |
| Deployment | K2view documents Fabric deployments on customer-managed Kubernetes infrastructure, including on-premises and AWS, GCP, or Azure environments. | The project provides a server tarball, command line interface, JDBC driver, and Docker container for getting started. |
| Founded | 2009 | 2012 |
| Purpose | K2view Dynamic Data Virtualization provides a semantic layer that unifies, transforms, enriches, and masks data from underlying sources for consuming applications and analysts. | Presto is a distributed SQL query engine designed to query large data sets across heterogeneous data sources. |
K2view Dynamic Data Virtualization plans
- K2view Dynamic Data VirtualizationPriced on request
PrestoDB plans
- PrestoDBFree
- Presto open-source distributionFree
Pick K2view Dynamic Data Virtualization if…
It suits organizations that need governed business data and context for critical systems, applications, analytics, or testing. Teams wanting customer-managed Kubernetes deployment and multiple data-access methods may find it relevant.
Pick PrestoDB if…
PrestoDB suits teams that need to query large datasets across different systems and can manage a self-hosted deployment. It may not fit teams looking for the full feature set of a standard database.