CSVJetty Description
CSVJetty is a customizable CSV import solution designed specifically for integration with React and Next.js applications. It empowers users to upload CSV files, align source columns with predetermined fields, and edit rows in a table while also rectifying any validation issues prior to the import process. Developers can set up fields and validation rules via either a dashboard interface or direct coding, which includes specifications for mandatory fields, type checks, and the option for custom validators. The platform also offers theme support and a development mode for enhanced flexibility. Upon import, the records can be sent to the host application using either a browser callback or a secured webhook, allowing for row data to remain within the user's browser instead of traversing CSVJetty's servers. This tool is particularly beneficial for SaaS teams looking to provide customer-facing import functionalities for various types of structured data, such as contacts, products, inventory, and leads. Users can take advantage of a free plan that permits up to 100 imports monthly, while a paid subscription begins at $9 per month, providing more robust capabilities. By leveraging CSVJetty, teams can streamline their data import processes and improve user experience.
CSVJetty Alternatives
SCIKIQ is one of the most innovative AI-native Data & Intelligence platforms for enterprises, built to make enterprise data AI-ready in weeks, not years.
Recognized by Forrester among leading AI-augmented data platforms, NASSCOM League of 10, YourStory Tech30, Inc42 and DataIQ, SCIKIQ is trusted by leading global enterprises across the USA, India, and UAE.
SCIKIQ brings Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products and AI Agents together in one unified platform. Unlike traditional data platforms that require enterprises to move or rebuild their technology stack, SCIKIQ works with what you already have. Connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, warehouses and enterprise applications through 200+ pre-built connectors, with no rip-and-replace.
What makes SCIKIQ different is Contextual Intelligence.
SCIKIQ doesn't just connect data; it helps AI understand its business meaning. Its semantic layer combines business terms, KPI definitions, metadata, lineage, ownership, rules, ontologies and relationships to create a trusted foundation for enterprise AI. Business users can talk to their data in natural language, investigate KPIs, discover root causes and generate insights without SQL. Data teams gain enterprise-grade governance, quality, lineage and control. AI teams get trusted, contextual data for building GenAI applications and intelligent AI agents.
Why enterprises choose SCIKIQ
AI-ready in 3–6 weeks | 167+ connectors | 99.9% availability | Multi-cloud | No-code | No vendor lock-in | No replatforming
Proven production deployments across Manufacturing retail, airlines, logistics, BFSI
Learn more about SCIKIQ
AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack.
Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design.
Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns.
Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows.
Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets.
Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with structured access to metadata, lineage, dependencies and design rules.
Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery and repeatable data product engineering.
Learn more about AnalyticsCreator
WeTransform
The @wetransform/core npm package is the foundation of WeTransform, an AI-driven file import layer designed to sit inside B2B SaaS products. Developers integrate it into their React, Vue, or vanilla JavaScript application in approximately four lines, exposing a modal or inline interface to end customers. An iframe alternative, complete with custom-domain hosting, exists for teams that prefer not to ship additional client-side code.
Where traditional file uploaders stop after the upload event, WeTransform continues the pipeline. Uploaded files are parsed regardless of format (CSV, Excel, PDF, XML, JSON), mapped against a target schema configured once by the SaaS team, validated against business rules and constraints, and delivered to the application backend via REST or webhook.
Several AI capabilities power this flow. AI Mapping matches incoming columns to schema fields with confidence scoring. Autoclean handles unstructured material like PDFs containing tables or Excel files with merged cells. Fill the Gaps reconstructs missing values by reading row-level context. Natural language rules let business users describe transformations in plain English or French. Power Functions invoke external services (REST endpoints) mid-transformation, enabling enrichment such as SIRET verification, address geocoding, or product identifier lookups.
Ingestion is multi-channel. Beyond browser uploads, files can arrive via REST API, webhook trigger, FTP, SFTP, URL polling, or dedicated email mailboxes.
Adopters include Cargoo, Sellermania, Autocab, ING, 23 Prod, Veloris, Senef, and Armée du Salut, spanning logistics, marketplaces, transportation, banking, e-commerce, and non-profit operations. Onboarding accelerates from weeks to minutes, engineering recovers roughly 15 percent o
Learn more about WeTransform
CSVBox
CSVBox serves as an importer tool tailored for CSV files in web applications, SaaS solutions, and APIs, allowing users to seamlessly integrate a CSV import feature into their applications within minutes. It boasts an advanced upload interface that lets users choose a spreadsheet file, align CSV headers with a set data model using intelligent column-matching suggestions, and perform data validation in real-time within the widget to guarantee smooth and accurate uploads. Supporting various file formats, including CSV, XLSX, and XLS, the tool incorporates functionalities such as smart column matching, client-side data checks, and upload progress indicators to boost user trust during the import process. Users can also enjoy a no-code setup, which permits them to establish their data model and validation criteria through an intuitive dashboard without any need for coding alterations. Furthermore, CSVBox allows for the generation of import links that facilitate file acceptance without necessitating the widget's presence, alongside the capability to assign custom attributes for further personalization. Overall, this comprehensive solution significantly simplifies the data import experience for users.
Learn more about CSVBox
Pricing
Pricing Starts At:
$9/month
Free Version:
Yes
Free Trial:
Yes
Integrations
No Integrations at this time
Company Details
Company:
CSVJetty
Year Founded:
2026
Headquarters:
United States
Website:
csvjetty.com
Media
CSVJetty hosted importer on the Upload file step, with a drag-and-drop area for CSV or TSV files and a four-step progress bar.
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Product Details
Types of Training
Training Docs
Live Training (Online)
Customer Support
Online Support
CSVJetty Features and Options
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