Zoho DataPrep is an AI-powered advanced self-service data preparation software that helps organizations prepare huge volumes of data. As a no-code ETL platform, it eliminates the need for complex coding, making data preparation accessible to users of all backgrounds. Data can be imported from 50+ sources and DataPrep can automatically identify errors, discover data patterns, and transform and enrich data without coding. You can also set up automated export schedules to your preferred data destination. DataPrep also helps catalogue data and set up pipelines to sync the prepared data to Zoho Analytics and data warehouses, among many other destinations.
Best Alternative to Fivetran, Alteryx, Matillion, Datameer, Keboola, AWS Glue and Azure Data Factory.
Pricing: Starting Price: $40 per month
Pricing Details: Standard - $40 /user/month for yearly plans
Standard - $50 /user/month for monthly plans
Free Version: Free Version available.
Free Trial: Free Trial available.
Integrations: 50+
API: Yes, Zoho DataPrep offers API access
Languages- 24
LICENSING & DEPLOYMENT: Proprietary, Cloud Hosted, Web-based, Windows, Mac
SUPPORT: Email, Chat, Phone, 24x7 Support
Training: Webinar / Live Demo
No features have been listed yet.
Based on our record, Google BigQuery seems to be more popular. It has been mentiond 42 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This isn’t hypothetical. It’s already happening. Snowflake supports reading and writing Iceberg. Databricks added Iceberg interoperability via Unity Catalog. Redshift and BigQuery are working toward it. - Source: dev.to / about 2 months ago
Many of these companies first tried achieving real-time results with batch systems like Snowflake or BigQuery. But they quickly found that even five-minute batch intervals weren't fast enough for today's event-driven needs. They turn to RisingWave for its simplicity, low operational burden, and easy integration with their existing PostgreSQL-based infrastructure. - Source: dev.to / 2 months ago
If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming — one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / 2 months ago
BigQuery Documentation: Google Cloud BigQuery. - Source: dev.to / 4 months ago
Pro Tip: Use Kubernetes operators to extend its functionality for specific cloud services like AWS RDS or GCP BigQuery. - Source: dev.to / 7 months ago
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