Supported Data Formats and types

Validated data connectors, converters, and normalization for Fidelity of process and data:
quicker, more successful deployments

For more than fifteen years IntraStage has been working with hundreds of different data formats. Learn more about how we have accessed and transformed using many different technologies into our standard data format.

File Types

.CSV

XML

PDF

.DOC(X)

.XLS(X)

atml

ATML

STDF

DAT

MDF

TDMS

TDM

Databases

SQL Server

SQL Express

Oracle

SQLite

SQL Express

DB2

MS Access

Foxpro

PLC and IIoT

Data Commander
MES Gateway

Siemens ERP

Rohde & Schwarz

Rockwell Automation

ATE Standards

Teradyne ITC
Teradyne FCT
Genrad ICT

Keysight/
Agilent

NI LabVIEW
TDM
TDMS

IntraStage
XML
CSV
Assembly CSV
Web Services
Web API
REST Service
Failure Analysis API

Sigmaquest Database

Arendar Database
XML
CSV

National Instruments

NI TestStand
XML
ATML
CSV
ATML
HTML

SQL Server

MS Access

MySQL

Interpro

Triquint

Enterprise Data

Microsoft Flow

Informatica

SAP

Peoplesoft

Agile

TeamCenter

Oracle

Salesforce

Baan

iBaset

Technologies

File

Database

Amazon Web Services

Web Services
Web API
REST Service

TCP/IP

Need to Integrate A Different Format?

Let us know. We can help your team identify measurements, characteristics, and the digital thread that connects your custom formats into the Factory of the Future.

Turning Data Into Action

Learn how Medtronic integrated BlackBelt to gain a full picture of their KPIs

SPC insight

Full system monitoring product quality and process efficiency
Read the Case Study

Minimizing Repair and Touch Time

Learn how Leonardo investigated yield and performance issues at multiple sites

Secure Onsite deployments

Single source of truth for as-built performance
Read the Case Study

Quickly Root-Causing Issues

Immediate insight into performance and quality issues down to component-level performance

Instant Defect Analysis

Improving throughput yield and reducing costs of goods sold
Read the case study

Need to Get Data From Somewhere Else?

Push to, Pull from, and Leverage Your Existing Data Silos to Enrich Your Insights