![]() ![]() Live Support: The Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.This ensures efficient utilization of bandwidth on both ends. Incremental Data Load: Hevo allows the transfer of data that has been modified in real-time.Hevo Is Built To Scale: As the number of sources and the volume of your data grows, Hevo scales horizontally, handling millions of records per minute with very little latency.Minimal Learning: Hevo, with its simple and interactive UI, is extremely simple for new customers to work on and perform operations.Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled in a secure, consistent manner with zero data loss.The solutions provided are consistent and work with different BI tools as well. Its fault-tolerant and scalable architecture ensure that the data is handled in a secure, consistent manner with zero data loss and supports different forms of data. Its completely automated pipeline offers data to be delivered in real-time without any loss from source to destination. Hevo not only loads the data onto the desired Data Warehouse/destination but also enriches the data and transforms it into an analysis-ready form without having to write a single line of code. It supports 100+ data sources ( including 30+ free data sources) like Asana and is a 3-step process by just selecting the data source, providing valid credentials, and choosing the destination. Hevo Data, a No-code Data Pipeline helps to load data from any data source such as Databases, SaaS applications, Cloud Storage, SDKs, and Streaming Services and simplifies the ETL process. It doesn’t require a user to have any programming skill or technical background to operate it.įor further information on Tableau, you can check the official site here. It creates visualizations with the help of dashboards and worksheets, helping users perform real-time analysis in a very fast and secure manner. It is a tool popularly used to visualize data and can be understood even by a non-technical user. Tableau is a powerful business intelligence tool used to turn raw data into an understandable format. Parallel Processing: It uses a cloud-based parallel query processing engine that reads data from thousands of disks at the same time.įor further information on Google BigQuery, you can check the official site here. ![]() Google BigQuery ML is another feature that supports algorithms such as K means, Logistic Regression etc. Built-in AI & ML: It supports predictive analysis using its auto ML tables feature, a codeless interface that helps develop models having best in class accuracy. ![]()
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