Automated data transformation
Flexter - Enterprise Converter for Complex XML & JSON
Say goodbye to slow, manual data conversion. Flexter automates the transformation of XML and JSON into relational formats across Snowflake, BigQuery, SQL Server, Oracle, and more. Whether you're migrating data, building pipelines, or modernising legacy systems, Flexter delivers schema-ready outputs in hours — not weeks.
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Instantly Convert your Complex XML or JSON Data
Perfect for quickly turning your XML or JSON into a simple, structured CSV/TSV format. Ideal for spreadsheet analysis.
Effortlessly convert your complex XML or JSON into a relational SQL format. Perfect for loading your data into databases.
“You did in one day what we could not achieve in three years!”
Unlock The Power of Your Data
Data is the lifeblood of business. But what good is data that can’t be utilised? Flexter works by automating the process of converting XML and JSON data into easy-to-read formats - enabling you to harness its full potential.
The Old Way (Without Flexter)
Data stored in industry-standard formats is unreadable
Unreadable data locks away valuable insights
Converting data requires a long and complex process
Conversion attempts take weeks or months of wasted time
Projects often fail, leaving you feeling frustrated and out of pocket
Lost insights impact your ability to grow
Leaving you vulnerable to the competition
The New Way (With Flexter)
Rapidly convert your data within 24 to 48 hours
Unlock valuable insights on autopilot
No coding skills - free up engineers for more impactful tasks
Save weeks or months of wasted time and frustration
Remove the guesswork and start projects instantly
Stay ahead of the competition
Utilise data to optimise and grow faster

Support for all clouds
Integrate with your existing cloud service. Including AWS, GCP and Azure
Support for all data stacks
We cover them all, including Snowflake, BigQuery, Databricks, Oracle, SQL Server, Parquet, Delta Lake
Full automation
Get end-to-end automation on every aspect of your conversion project including data lineage and data models.
Run on site or in the cloud
Complete projects with ease from anywhere without restrictions
Format Optimisation
Optimise and format your converted data to make it crystal clear
Applicable to all industries
Whether you’re in Retail, Healthcare, Finance or Hospitality - Flexter covers your industry
The simple three-step method to harness your data
Cultivate insights and drive growth with three simple steps
Step 1: Extraction
Step 2: Optimisation
Step 3: Conversion
Who’s it for?
Who’s it for?
Why Choose Flexter?
Flexter has been purposefully designed and expertly engineered to stand as the #1 premier data conversion solution on the planet. Here’s six reasons we’re the top choice for the world's leading corporations:
Proven Success
Guarantee Results
Expert Endorsements
Renowned Industry Experts
Unparalleled Speed and Efficiency
Global ‘Market-Leading’ Clients
Explore Flexter’s Full Capabilities
For a detailed overview of Flexter’s specifications, see a full technical breakdown below.
See moreCompare Free Flexter vs Enterprise Flexter
Feature | Free Flexter | Enterprise Flexter |
---|---|---|
Data | ||
Data volume i Effortlessly process any volume of XML and JSON data, from small files to terabytes, ensuring high performance and scalability for enterprise workloads. Built on Apache Spark for big-data scale. | Up to 1MB | Handles any volume of data |
Data size i Process multi-GB XML/JSON files on a single machine without memory failures. Streaming architecture reliably handles very large and complex files. | Up to 1MB | Handles very large files |
Overwrite i Overwrite existing datasets in your target store to refresh analytics with the latest data. | Not available | Available |
Append i Append new data to existing tables/files—ideal for incremental loads and maintaining history. | X | ✓ |
Access & Interfaces | ||
API i Programmatic access via a robust REST API to integrate conversion in apps and data pipelines. | X | ✓ |
Command line (CLI) i Script, automate, and schedule conversions—perfect for batch jobs and CI/CD. | X | ✓ |
Web UI i Intuitive, web-based UI to manage XML/JSON conversion end-to-end—no coding required. | X | ✓ |
Supported Input Formats | ||
XML i Parse and convert complex, nested, or large XML files into structured, queryable formats. | ✓ | ✓ |
JSON i Flatten and normalize hierarchical JSON for analytics and warehousing. | X | ✓ |
TSV, CSV, PSV (delimited) i Handle common delimited files alongside semi-structured data for unified ingestion. | X | ✓ |
RDBMS sources i Extract from relational databases and blend with XML/JSON streams. | X | ✓ |
Supported Output Databases | ||
Snowflake i Convert and load XML/JSON directly into Snowflake with auto-optimized schemas for fast queries. | ✓ | ✓ |
Oracle i Load complex XML/JSON into Oracle, transformed into a relational format for enterprise apps. | X | ✓ |
MySQL i Convert XML/JSON to MySQL tables so semi-structured data is ready for web apps and analytics. | X | ✓ |
PostgreSQL i Transform XML/JSON into PostgreSQL for powerful relational analysis. | X | ✓ |
Teradata i Integrate complex XML/JSON with Teradata for large-scale analytics and BI. | X | ✓ |
Amazon Redshift i Quickly convert massive XML/JSON volumes for high-speed Redshift cloud analytics. | X | ✓ |
Microsoft SQL Server i Modernize workflows by converting legacy XML/JSON for SQL Server use. | X | ✓ |
Azure SQL Data Warehouse (Synapse) i Seamlessly load XML/JSON into Azure Synapse Analytics for cloud-scale analytics. | X | ✓ |
Yellowbrick i Feed Yellowbrick with query-optimized XML/JSON conversions for fast analytics. | X | ✓ |
Google BigQuery i Convert XML/JSON at scale for direct BigQuery analysis. | X | ✓ |
Databricks (Delta) i Transform XML/JSON into Delta Lake tables for unified analytics and AI in Databricks. | X | ✓ |
AWS Athena i Convert XML/JSON to Parquet on S3 for instant Athena querying. | X | ✓ |
Supported Output Query Engines | ||
Apache Hive i Convert XML/JSON into structured data for Hadoop queries with Hive. | X | ✓ |
Apache Impala i Optimize XML/JSON for high-performance, real-time Impala queries. | X | ✓ |
Supported Output File Formats | ||
CSV i Convert complex XML/JSON into universal CSV or TSV for spreadsheets and reporting. | ✓ | ✓ |
TSV i Convert complex XML/JSON into universal CSV or TSV for spreadsheets and reporting. | ✓ | ✓ |
Microsoft Excel (XLSX) i Create well-structured Excel files from XML/JSON for business analysis. | ✓ | ✓ |
ORC i Generate compact ORC files to cut storage costs and speed Hadoop queries. | X | ✓ |
Delta Lake Table i Build ACID-compliant data lakes by converting XML/JSON to Delta tables. | X | ✓ |
Iceberg Table | X | ✓ |
Apache Parquet i Produce efficient columnar Parquet files from XML/JSON for big-data analytics. | X | ✓ |
Apache Avro i Convert XML/JSON into schema-based Avro for serialization and Kafka/Spark pipelines. | X | ✓ |
Automation Capabilities | ||
Automated generation of target schema i Instantly generate an optimized relational schema from source data. | ✓ | ✓ |
Automated creation of data mappings i Automatically map XML/JSON to the target schema with full accuracy. | ✓ | ✓ |
Automated detection of parent–child relationships i Detect and preserve parent-child relationships with primary/foreign keys. | ✓ | ✓ |
Automated data conversion i Automate ingestion, parsing, transformation, and loading end-to-end. | ✓ | ✓ |
Automated generation of documentation i Auto-create ER models and documentation for governance and onboarding. | ✓ | ✓ |
Schema Optimization Algorithms | ||
“Elevate” algorithm i Simplify complex structures for a more intuitive, query-friendly schema. | ✓ | ✓ |
“Reuse” (XSD-based) i Optimise XSD-based schemas for a normalized, efficient data model. | ✓ | ✓ |
Automated naming conventions i Enforce automated, consistent naming for tables and columns. | ✓ | ✓ |
Schema Generation Sources | ||
From JSON sample i Generate a precise schema directly from JSON samples. | X | ✓ |
From XML sample i Generate a precise schema directly from XML samples. | ✓ | ✓ |
From XSD i Create accurate target schemas from existing XSDs. | X | ✓ |
XSD + XML sample i Combine XSD with sample XML for the most refined structure. | ✓ | ✓ |
From database schema i Build schemas from a database structure or simple text file. | X | ✓ |
From text files | X | ✓ |
Supported Data Sources | ||
FTP / SFTP i Securely ingest XML/JSON from FTP or SFTP servers. | X | ✓ |
Object storage (S3, ADLS, GCS, Azure Blob) i Pull data from S3, Azure Data Lake, or Google Cloud Storage. | X | ✓ |
HTTP(S) i Fetch and convert online data from web sources or APIs. | X | ✓ |
HDFS i Process files stored in HDFS for Hadoop workflows. | X | ✓ |
Network drives i Access files on shared drives or local systems. | X | ✓ |
Local files and folders i Upload XML/JSON through the browser for instant conversion. | X | ✓ |
Direct upload (Web UI) | ✓ | X |
Change Intelligence & Management | ||
Centralized metadata catalog i Centralize schemas and mappings for governance and discovery. | X | ✓ |
Schema version diff i Instantly compare schema versions to track changes. | X | ✓ |
Automated schema evolution handling i Detect and adapt to source-schema changes to avoid breakages. | X | ✓ |
Data lineage tracking i Track data flow from source to target for compliance. | X | ✓ |
Automated ER diagrams i Auto-generate ER diagrams for clear documentation. | X | ✓ |
Deployment Platforms | ||
Virtual machine / server i Run Flexter on your own VMs or physical servers. | X | ✓ |
Kubernetes i Deploy as a scalable containerized app on any Kubernetes cluster. | X | ✓ |
Snowpark Container Services i Execute directly inside Snowflake with Snowpark Container Services. | X | ✓ |
Databricks i Run Flexter natively within Databricks for lakehouse integration. | X | ✓ |
Apache Spark environments i Use any Spark environment for massive-scale data conversion. | X | ✓ |
Deployment Locations | ||
Google Cloud Platform (GCP) i Process data from GCS and load into BigQuery on GCP. | X | ✓ |
Amazon Web Services (AWS) i Convert S3 data and load into Redshift, Athena, or other AWS services. | X | ✓ |
Microsoft Azure i Process ADLS/Blob data and load into Azure Synapse or other Azure databases. | X | ✓ |
On-premise data centers i Deploy in your own data center for maximum control and security. | X | ✓ |
Support | ||
✓ | ✓ | |
Phone | X | ✓ |
✓ Available X Not available
From our Blog
FAQs
What is Flexter in simple terms?
Flexter is a no-code tool that automatically converts complex XML and JSON files into clean, structured tables for databases and analytics—no manual coding required.
What problem does Flexter solve?
It eliminates the slow, costly, and error-prone task of manually parsing nested XML/JSON data using code or traditional ETL tools.
How is Flexter different from standard ETL tools?
Unlike general-purpose ETL tools with basic semi-structured support, Flexter is purpose-built for XML and JSON. It automates schema detection, mapping, and parallel processing at scale.
Is Flexter No-Code or Low-Code?
Flexter is fully No-Code for data conversion. Some light scripting may be used for integration, but the core processing requires no coding.
Can Flexter handle large data volumes?
Yes, Flexter is designed to process millions or even billions of files in parallel using horizontal scalability and distributed workloads.
Can it handle very large files?
Yes, Flexter is optimised for huge individual files (multi-GB XML/JSON) using memory-efficient parsing techniques.
Does Flexter support industry standards like HL7, FHIR, ISO 20022?
Yes, Flexter supports any XML/XSD format and is fully compliant with the XSD specification.
Do I need an XSD schema?
No. Flexter works with or without an XSD. If available, it uses the XSD; otherwise, it infers the structure automatically.
Who uses Flexter?
Data teams in finance, healthcare, telecoms, and government—anyone needing to convert complex XML/JSON into usable data for reporting, analytics, or integration.
If you have more Flexter related questions or want to know how it works, check out our detailed Flexter FAQ and Guide here.