Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
Get the Report →
Cloud Data Pipeline for Google BigQuery
Automated continuous ETL/ELT data replication from any on-premise or cloud data source to Google BigQuery. Create and maintain a replica of your data making it easily accessible from common database tooling, software drivers, and analytics.
- From: 200+ Enterprise Data Sources
- To: Google BigQuery
- On-Premise, or in the Cloud
Create Your Cloud Data Pipeline
Google BigQuery
ETL for Google BigQuery
Google BigQuery is a serverless, highly scalable, and cost-effective data warehouse designed to help organizations turn big data into informed business decisions. Providing a wide range of data services, BiqQuery supports BI, AI & machine learning, GIS geospatial analysis, and mass data analysis on billions of rows worth of live BiqQuery data in Google Sheets — without requiring SQL knowledge. Users can apply familiar tools — like pivot tables, charts, and formulas — to easily derive insights from big data. Through the BigQuery BI Engine, BigQuery enables the analysis of large and complex datasets interactively with sub-second query response time and high concurrency. BigQuery BI Engine seamlessly integrates with tools like Looker Studio to accelerate data analysis.
The typical organization leverages dozens of SaaS applications and disparate data sources in a sprawling, hybrid cloud/on-premise mix. CData Sync enables the seamless ingestion of data from all of these mission-critical data sources into Google BigQuery.
Incremental Replication
Robust SQL interface supports change-data capture across SaaS, NoSQL and Relational data.
Full Data Discovery
Intelligent rowscan, type detection, relationship exploration and support for static and dynamic data.
Unmatched Performance
Optimized performance down to the socket level; our drivers offer unmatched performance.
Enterprise-Class Security
Advanced security and authentication. Secure TLS / SSL data encryption.
CData Sync provides users with a straightforward way to synchronize data between on-premise and cloud data sources with a wide range of traditional and emerging databases. Replicate data to facilitate operational reporting, connect data to analytics for BI and decision support, archive data for disaster recovery, and much more.
- Synchronize data with a wide range of traditional and emerging databases including Google BigQuery
- Replicate Cloud data to RDBMS systems to facilitate operational reporting, BI, and analytics
- Archive data for disaster recovery
Pipeline Data from Salesforce to Google BigQuery
Supported SaaS/Cloud Sources
CData Sync includes connectivity with a wide range of popular on-premise and SaaS applications for CRM, ERP, Marketing Automation, Accounting, Collaboration, and more!
Key Features
-
Simple Point-And-Click Replication
Configuring replication is easy: Login to the application, select the tables of data to replicate, and select a replication interval. Done.
-
Heterogeneous Support & Database Independence
Supports replication across a wide range of commonly used databases, ensuring offline replication without the need to setup and maintain a new or foreign DBMS. In addition, database connectivity is extensible, providing systems integrators with the ability to synchronize with entirely new data stores.
-
Automated Iterative Data Extraction
CData Sync extracts data iteratively, causing minimal impact on operational systems by only querying and updating data that has been added or changed since the last update.
-
Full or Partial Data Replication
Users have complete control to define which data should be replicated and how that data should be replicated to a database. CData Sync offers the utmost in flexibility across full and partial replication scenarios.
-
Secure Backup & Archiving
Protect your organization from the loss of valuable data. CData Sync ensures that your critical data is stored safely in the on-premise or cloud database of choice.
-
DBA-Friendly Setup
CData Sync is completely self-contained. As a result it does not require special administration or installation on target databases.
-
Flexible Mapping, Configuring, & Scheduling
CData Sync is incredibly simple, yet highly customizable. Almost every facet of the application can be customized to integrate with the user's ideal replication configuration.
-
Unix Cron-Style Scheduling
CData Sync includes flexible scheduling capabilities. Users can easily schedule replication tasks at customizable intervals.
-
Dynamic Schema Replication
Replicates schema changes dynamically, ensuring that data sources are in sync. CData Sync monitors changes in the connected datasource and the changes are automatically detected and updated within the local replicated database.
-
Advanced Logging & Transaction Monitoring
Transaction logging is available to enable closer monitoring of changes being made to replicated data and data accessed directly through CData Sync.
-
On-Premise Or In The Cloud
CData Sync is a go-anywhere application that is designed to perform equally well hosted on-premise (Windows, Unix / Linux, Mac OS) or in the Cloud (Azure, Amazon, Google).
Learn more about how CData technologies can solve data connectivity, integration, and data movement challenges:
Data Connectors
ETL/ ELT Solutions
Cloud & API Connectivity
OEM & Custom Drivers