Leveraging Google Cloud’s flexible rent-by-the-hour licensing, the Denodo Platform for GCP is offered at a wide range of pricing options including the number of data sources. The Denodo Platform for GCP offers the same features as the award-winning Denodo Platform. Alternatively, your purchase of the Denodo Platform can be deployed on GCP as BYOL (Bring Your Own License).
The Denodo Platform provides enhanced data virtualization capabilities for GCP, with a new unified web-based user interface with single-sign-on, an AI-powered data catalog, hyper-performance with ML-enhanced smart query optimization and configuration settings, the Apache Zeppelin-based Denodo Notebook, and much more. The Denodo Platform for GCP offers the same full-featured capabilities as the award-winning Denodo Platform deployed in on-premises environments.
The Denodo Platform for GCP is available via four subscription offerings. Denodo Professional is an entry-level subscription designed to help you get started with data virtualization, Denodo Standard provides data virtualization to your entire company while Enterprise and Enterprise Plus provide logical data fabric solutions that take data virtualization to advanced levels.
Comparison Table Overview
| Features | Denodo Professional Starting at $6.27/hour |
Denodo Standard Starting at $10.63/hour |
Denodo Enterprise Starting at $15/hour |
Denodo Enterprise Plus Starting at $21.26/hour |
|---|---|---|---|---|
| Pay-as-you-go (hourly) or annual subscription | ||||
| Number of data sources | Up to 5 data sources | Unlimited | Unlimited | Unlimited |
| Number of Development* and Solution Manager** Instances | 1 | 1 | 1 | 1 |
| Performance Optimizations | + Smart Query Acceleration + MPP |
+ Smart Query Acceleration + MPP |
||
| Security - RBAC, Authentication mechanism (LDAP, AD, Kerberos, SSO), Authorization, Encryption, Masking, and More | ||||
| Data lineage | ||||
| Denodo Notebook (Apache Zeppelin-based) for Data Science | ||||
| Version Control | ||||
| Data Catalog | ||||
| Advanced Diagnostics | ||||
| AI based Data Discovery and | ||||
| Summary Recommendation | ||||
| Collaboration Semantics - Endorsements, warnings and deprecation | ||||
| Tag based policies |
**Available on request
Included in Denodo’s out-of-the-box connectivity to 150+ cloud and on-premises data sources, is optimized connectivity including the following Google cloud services:
Google BigQuery
Google CloudSQL
Google Cloud Storage
Cloud Datastore
Google Cloud Spanner
Google Bigtable
The Denodo Platform and GCP - Hybrid Logical Data Warehouse: Reference Architecture
1.- Move your relational data for interactive querying and offline analytics to Google BigQuery.
2.- Move your relational data from the large-scale databases and applications to Google Spanner whenever high I/O and global consistency is needed.
3.- Move your relational data from Web frameworks and existing applications to Google Cloud SQL.
4.- Combine all types of your data from Google Cloud with the relational data sitting on premise inside the traditional Data Warehouse using Denodo Data Virtualization, creating one centralized data hub.
5.- Run real-time queries on virtual data from other applications.
6.- Build operational reports and analytical dashboards on top of Denodo Data Virtualization platform to derive insights from the data, and use Looker or other BI tools to serve thousands of end users.
Key Use Cases
HYBRID LOGICAL DATA WAREHOUSING
By integrating on-premises data stores (e.g. traditional enterprise data warehouses, analytical appliances, databases, etc.), Google Cloud data warehouses, and SaaS applications, such as Salesforce, the Denodo Platform offers a single logical point from which to seamlessly query the combined data in real time using any BI or reporting tool, regardless of where the source data is stored, and without having to copy any data.
ACCELERATED CLOUD MIGRATIONS
While organizations move their data to Google BigQuery for a cloud-based data warehousing solution, the Denodo Platform for GCP abstracts the data location from consuming analytics tools and operational applications, minimizing the impact to business users and applications during the migration process.
DATA-AS-A-SERVICE (DAAS)
Simplify access to a variety of data sources through a unified set of APIs to help accelerate analytical processing and servicing the data through RESTful web services and data virtualization techniques. Leverage world-class, agile data services capabilities to drive business growth.
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What's Next?
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