Zoho DataPrep
Trifacta
Alteryx
Julius
Talend
Microsoft Power BI
Tableau Prep
RapidMiner
Google Cloud Dataflow
Amazon EMR
Google BigQuery
Qubole
Snowflake
Databricks
Apache Beam
Amazon Kinesis
Zoho DataPrep is an AI-powered ETL platform designed to move, prepare, and clean data for seamless data workflows โ without writing code, managing multiple tools, or hiring a data engineering team.
Most organizations juggle separate tools for data ingestion, cleaning, and delivery. DataPrep consolidates the entire data lifecycle into one platform: extract from 90+ sources, transform with 250+ no-code tools or Python Code Studio, and deliver to 30+ destinations including data warehouses and business applications.
What makes DataPrep different: Ask Zia, the AI copilot powered by Zoho LLM, builds complete pipelines from natural language. Reverse ETL pushes enriched data back to CRMs and marketing tools automatically. Databridge connects on-prem databases behind firewalls for hybrid environments. MCP server support enables AI agents to control pipelines from tools like Claude and Cursor.
The platform processes 25M+ rows per batch with incremental fetch, scheduled automation, version control, and auto-retry. ISO 27001, SOC2, HIPAA, and GDPR compliant with built-in PII detection and data masking.
Free plan available. Row-based pricing with no per-destination fees.
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
Zoho DataPrep Google Cloud DataflowBased on our record, Google Cloud Dataflow seems to be more popular. It has been mentiond 14 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.
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 3 years ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: almost 4 years ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: almost 4 years ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: almost 4 years ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 4 years ago
Trifacta - Data Transformation Platform.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Julius - Turn your Mac into a Bluetooth speaker
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
