Prepare your data and uncover insights using natural language through a simple chat-based interface. Clean, transform, analyze, and visualize, no complex formulas or technical expertise needed.

Why Astera Dataprep?
Astera Dataprep adapts to the unique data challenges of every department, from marketing to finance to operations.
Unify campaign data from multiple channels, clean attribution data, and build real-time performance dashboards — all without SQL or spreadsheet formulas.
Automate journal entry reconciliation, consolidate financial reports from multiple entities, and prepare data for regulatory compliance — accurately and audit-ready.
Unify inventory data, prepare logistics datasets, and build operational dashboards that give you real-time visibility across your supply chain.
Prepare employee data from HRIS, payroll, and engagement platforms. Build workforce dashboards and automate compliance reporting, all without writing a single line of code.
Clean CRM data, enrich leads, and prepare pipeline analytics that help your team close more deals and forecast accurately
Give your engineering team a visual interface for data preparation that reduces ETL development time and empowers non-technical users to self-serve.
Prepare data instantly using natural language commands. Our AI understands context and intent — no complex formulas or technical expertise needed.
Whether you're merging datasets or building charts, Astera's AI handles the technical work so you can focus on the insights. This is how:
No SQL. No formulas. No problem — just tell Astera what you need.
See it in action
Build step-by-step data recipes that chain operations together. Save them and re-run on new datasets with a single click.
Turn your most-used workflows into reusable recipes — here's what that looks like in practice:
Build it once. Run it on any dataset, anytime.
See it in action
Create pie charts, bar charts, scatter plots and more — all from your prepared data. Build interactive dashboards for your team.
Create charts and dashboards directly inside Astera — here's how:
From raw data to boardroom-ready dashboards — no BI tool required.
See it in action
Instantly detect and fix data quality issues. Apply 50+ transformations with visual previews before committing changes.
Astera gives you full control over data quality and structure — here's how:
Clean, transform, and trust your data — before it ever reaches your destination.
See it in action
Schedule your data pipelines to run automatically — daily, weekly, or on custom triggers. Monitor everything from a single dashboard.
Schedule your workflows once and let Astera handle the rest — here's what you get:
Your pipelines run on time, every time — with or without you.
See it in action
Real Stories. Real Impact.

“Astera has impacted our business in a very positive way. We've been using the product for a year, and still have a lot to learn, but we are always thinking of new ways that Astera can help automate processes for us.”
Robert Jobkar, Vice President of Technology
at CoWorx Staffing

“The AI-powered extraction capabilities have transformed how we handle documents. What used to take hours now takes minutes, with better accuracy.”
Sarah Chen, Director of Operations
at TechFlow Inc

“Implementing Astera was seamless. The no-code interface meant our team could start extracting data from complex documents within days, not months.”
Michael Torres, CTO
at DataFirst Solutions
Browse Our Use Cases
Explore how our solution can make a difference at your company.
Frequently Asked Questions
Everything you need to know about Dataprep and how it can transform your data extraction workflow.
Dataprep integrates with databases, data warehouses, cloud storage, and APIs by connecting to existing systems without requiring replacement. Data can be read from current sources, transformed, and written to current destinations through standard protocols and connectors.
Dataprep connects to relational databases (PostgreSQL, MySQL, SQL Server, Oracle), cloud platforms (AWS S3, Azure, Google Cloud), data warehouses (Snowflake, Redshift, BigQuery), and file formats (CSV, Excel, JSON, XML, Parquet). Custom API connections are also supported.
Yes. Cloud-native architecture scales horizontally to process millions of rows, with datasets that exceed local memory handled through distributed processing. Performance does not degrade as data volume increases.
No. The conversational interface accepts natural language instructions, with technical operations generated automatically so users describe intent rather than writing code. This does not limit capability, as complex transformations, joins, and aggregations are supported through natural language.
General AI assistants process text rather than data at scale and lack the infrastructure for production data operations. Dataprep includes change data capture, data lineage tracking, validation frameworks, scheduled execution, and direct integration with enterprise data platforms as foundational capabilities.
Yes. Workflows are saved as recipes and scheduled to run automatically, with execution triggered by time intervals, file arrival, or API calls. Change data capture supports incremental updates, eliminating manual repetition of data preparation tasks.
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Stop switching between tools. Start with a conversation. Dataprep handles preparation, transformation, analysis, and visualization in one platform.