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Description
Alibaba Cloud Data Integration serves as a robust platform for data synchronization that allows for both real-time and offline data transfers among a wide range of data sources, networks, and geographical locations. It effectively facilitates the synchronization of over 400 different pairs of data sources, encompassing RDS databases, semi-structured and unstructured storage (like audio, video, and images), NoSQL databases, as well as big data storage solutions. Additionally, the platform supports real-time data interactions between various data sources, including popular databases such as Oracle and MySQL, along with DataHub. Users can easily configure offline tasks by defining specific triggers down to the minute, which streamlines the process of setting up periodic incremental data extraction. Furthermore, Data Integration seamlessly collaborates with DataWorks data modeling to create a cohesive operations and maintenance workflow. Utilizing the computational power of Hadoop clusters, the platform facilitates the synchronization of HDFS data with MaxCompute, ensuring efficient data management across multiple environments. By providing such extensive capabilities, it empowers businesses to enhance their data handling processes considerably.
Description
The intelligent semantic layer merges data with its business context and interconnections, consolidates metrics, and speeds up the production of data products by allowing for SQL queries that are 90% shorter. Users can easily model the data using familiar business terminology, creating a shared understanding and aligning the metrics with business objectives. By defining semantic relationships that replace traditional JOIN operations, queries become significantly more straightforward. Hierarchies and classifications are utilized to enhance data comprehension. The system automatically aligns data with the semantic model, enabling the integration of various data sources through a robust distributed SQL engine that supports large-scale querying. Data can be accessed as an interconnected semantic graph, improving performance while reducing computing expenses through an advanced caching engine and materialized views. Users gain from sophisticated query optimization techniques. Additionally, Timbr allows connectivity to a wide range of cloud services, data lakes, data warehouses, databases, and diverse file formats, ensuring a seamless experience with your data sources. When executing a query, Timbr not only optimizes it but also efficiently delegates the task to the backend for improved processing. This comprehensive approach ensures that users can work with their data more effectively and with greater agility.
API Access
Has API
API Access
Has API
Integrations
MySQL
Alibaba Cloud
Amazon Aurora
Amazon Web Services (AWS)
Apache Parquet
Apache Synapse
Apache Zeppelin
DataWorks
Google Data Studio
IBM Cognos Analytics
Integrations
MySQL
Alibaba Cloud
Amazon Aurora
Amazon Web Services (AWS)
Apache Parquet
Apache Synapse
Apache Zeppelin
DataWorks
Google Data Studio
IBM Cognos Analytics
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
www.alibabacloud.com/en/product/data-integration
Vendor Details
Company Name
Timbr.ai
Founded
2018
Country
United States
Website
timbr.ai/