Wenn Ihr Datensatz zu gross für Excel, aber zu klein für eine Datenbank ist
There's an awkward middle ground in data analysis. You have a dataset with 500,000 rows — or 2 million, or 5 million. It's too large for Excel or Google Sheets, but setting up a database or writing Python scripts feels like overkill for what should be a quick analysis.
Viztab fills that gap. It handles datasets with millions of rows in a familiar spreadsheet interface. You can sort, filter, apply formulas, and explore your data without writing a single line of code or waiting for anything to install.
Leistungsstarke Analysetools
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370+ formulas — from
SUMIFandCOUNTIFStoVLOOKUP,INDEX/MATCH, statistical functions, and text manipulation - Sort and filter at scale — sort by any column or apply multi-criteria filters across millions of rows with instant results
- Instant aggregation — compute sums, averages, counts, min/max across your entire dataset or filtered subsets
- Search across everything — find specific records in a 10-million-row dataset instantly with full-text search
Kein Setup, kein Code, keine Lernkurve
If you know how to use a spreadsheet, you already know how to use Viztab. There's nothing to install, no environments to configure, and no syntax to learn. Drop in your CSV or XLSX file, and your data is ready to analyze in seconds.
This makes Viztab ideal for quick exploratory analysis: examining a data export, checking for anomalies, validating a dataset before loading it into a pipeline, or answering ad hoc questions from stakeholders.
Ihre Daten bleiben privat
Unlike cloud-based analysis tools, Viztab processes everything locally in your browser. Your dataset is never uploaded to any server. This matters when you're working with customer data, financial records, healthcare information, or any data subject to compliance requirements.
So funktioniert es
Datensatz importieren
Drag in a CSV, TSV, or XLSX file. Even multi-gigabyte files load in seconds with streaming import.
Analysieren und erkunden
Sort, filter, search, and apply formulas. Scroll through millions of rows with zero lag.
Ergebnisse exportieren
Save filtered results, computed columns, or summary data as CSV or XLSX for reports or further processing.
Häufig gestellte Fragen
For many common analysis tasks, yes. If you need to explore a dataset, filter and aggregate data, compute new columns with formulas, and export results, Viztab does all of that without writing code. For advanced statistical modeling, machine learning, or programmatic pipelines, Python remains the better choice — but Viztab is perfect for the 80% of analysis work that's just looking at and manipulating tabular data.
Viztab supports CSV, TSV (tab-separated), XLSX (Excel), and other delimited text formats. It auto-detects the delimiter, encoding, and structure so you can just drop files in without configuring import settings.
Viztab has been tested with datasets exceeding 10 million rows and 2 GB in file size. It uses virtualized rendering and streaming parsing, so performance stays smooth regardless of dataset size. The practical limit depends on your device's available RAM.
You can analyze datasets up to 1,000 rows completely free with no signup required. Viztab Pro unlocks unlimited rows, making it suitable for production-scale data analysis work.
Beginnen Sie mit der Analyse Ihrer Daten
Laden Sie Ihren Datensatz und erhalten Sie Antworten in Sekunden. Kein Setup, kein Code, kein Upload.
Viztab öffnen