Access to Multiple Data Sources

InetSoft's BI platform, StyleBI, enables users to seamlessly extract data from multiple sources, and create dashboards and automated reports that reveal advantageous insights. The robust data mashup engine can join many data sources on common dimensions so that an aggregation of sources can be analyzed and manipulated within a single view. Once IT has connected and defined data sources, everyday users can create sophisticated reports and impressive visual analytic dashboards.

InetSoft's data extraction tools are capable of simultaneously accessing and integrating information from operational databases, data warehouses, and enterprise applications.

Most Common Data Sources A to Z


Listed below are the more commonly used data sources that have JDBC/ODBC connectors plus the non-ODBC sources for which InetSoft has native connectors already built.

#1 Ranking: Read how InetSoft was rated #1 for user adoption in G2's user survey-based index.
42Matters Actian Vectorwise ActiveCampaign
Adobe Analytics AirTable Airtable Dashboard
Amazon Aurora Amazon Redshift Apache Cassandra
Apache Spark App Annie appFigures
Asana AskNicely Baan Infor
Bitly box Buffer
Campaign Monitor Chargebee Chargify
ChartMogul Cloudera Copper
CSV Data.Gov data.gov
Data.world Derby EMC Greenplum
Facebook FileMaker Firebird
Flat files FreshBooks Freshdesk
Freshworks CRM Freshservice Fusebill
Google AdSense Google AdWords Google Analytics
Google Analytics Google Calendar Google Search Console
Google Sheets GoSquared Hadoop/HIVE
Harvest Help Scout HP Vertica
Hubspot Hyperion ESSbase IBM DB2
IBM Netezza Informix Infusionsoft
Ingres Insightly Intervals
Intuit QuickBooks Java beans (POJO) JDBC
Jira Keen Kissmetrics
Lighthouse LiveAgent Mailchimp
MapR Microsoft Access Microsoft Excel
Microsoft SharePoint Microsoft SQL Server Microsoft SQL Server Analysis Services
monday.com MongoDB MySQL
New Relic Nicereply OData
ODBC Optimizely Oracle
Oracle Hyperion Oracle JD Edwards Oracle OBIEE
Oracle PeopleSoft ParAccel ParStream
Pervasive Pipedrive PipelineDeals
PostgreSQL Progress Prometheus
QuickBooks Online QuickBooks Payments Recurly
REST Salesforce Salesforce Reports
salesforce.com SAP ERP SAP HANA
SAP NetWeaver SAP NetWeaver Business Warehouse SAP SQL Anywhere
Sendible SEOmonitor ServiceNow
Siebel CRM Smartsheet Snowflake
SOAP SparkPost SQLite
Stripe Survey Monkey SurveyGizmo
Sybase ASE Teradata Toggl
Twilio Twilio SendGrid Web Services
Wistia WordPress XML
YouTube Zapier Zendesk
Zendesk Sell Zoho CRM

Many supported, less common data sources are not listed. Custom data connectors can also be built by you or InetSoft.

Company Stories of Selecting and Switching to InetSoft StyleBI

Case Study: Migrating from TIBCO Spotfire to InetSoft StyleBI

A regional logistics firm switched because it needed lower total cost of ownership and faster dashboard delivery. The team also wanted stronger embedding APIs for white-labeled tenant experiences without heavy middleware. StyleBI cut dashboard build time in half by enabling reusable templates and simpler theming controls. The company reduced platform and cloud costs significantly while lowering support tickets tied to embedded analytics. Customer adoption of embedded dashboards increased because performance and onboarding improved after the migration.

Case Study: Switching from ThoughtSpot to InetSoft's StyleBI

A SaaS company moved to StyleBI to reduce rising licensing and infrastructure costs while supporting multi-tenant analytics. They needed lightweight embedding with direct product integration rather than fragile iframe-heavy mashups. StyleBI helped them shorten dashboard development cycles through templates and reusable components. The operations team benefited from lower maintenance overhead and faster upgrades. The business also gained better renewal support because customer-facing analytics became easier to deliver and brand.

How a Jute Twine Manufacturer Switched from Tableau to the Open Source StyleBI for Business Intelligence

The manufacturer sought a platform that could handle embedded analytics and role-based operational views more naturally than its prior setup. It needed direct connectivity to multidimensional and relational data without creating many intermediate extracts. StyleBI provided interactive drill-down analysis from KPI level to batch-level production details. The open source positioning improved cost efficiency for broader departmental rollout. Teams gained a more practical balance of flexibility, usability, and data depth for day-to-day manufacturing decisions.

#1 Ranking: Read how InetSoft was rated #1 for user adoption in G2's user survey-based index.

Lithopone Manufacturer Switches from Logi Analytics to InetSoft

The company switched to gain better scalability and performance across production and supply chain analytics. It also needed easier integration between legacy ERP systems and real-time plant data sources. InetSoft enabled more tailored dashboards for plant, quality, and executive stakeholders. Embedded access in the internal portal improved usage for non-technical users who needed immediate insight. After the transition, the manufacturer reported faster reporting cycles and stronger operational visibility.

Nopal Cactus Processing Company Migrates From Qlik To StyleBI For Dashboards And Analytics

The processor moved because it needed web-first embedded dashboards that operators and managers could use without SQL dependence. Rising licensing pressure and dashboard complexity also made the previous approach less sustainable. StyleBI let the team blend ERP, quality, sensor, and production data with less ETL overhead. Real-time KPI visibility improved reactions to moisture, yield, and contamination deviations on the floor. The organization reported stronger adoption, better traceability, and more consistent production quality outcomes.

Neodymium Magnet Reclamation Company Migrates From MicroStrategy To StyleBI

The firm selected StyleBI to better align analytics with high-frequency plant operations and reduce total ownership costs. It required embeddable dashboards inside existing operational systems so users could act without context switching. InetSoft offered a lighter deployment footprint and a licensing model that fit mixed technical and operational audiences. Programmatic control and server-side mashups improved the speed of dashboard iteration and issue response. The business realized stronger plant-floor adoption and measurable improvements in process efficiency and margin sensitivity.

Loom Reed Manufacturer Migrates from Syncfusion to InetSoft: Strategic Rationale and Practical Roadmap

The manufacturer switched because component-level visualization was no longer enough for broader analytics and reporting demands. It needed self-service access for non-technical teams and scalable distribution of operational reports. InetSoft provided a unified BI stack for data mashups, dashboard authoring, and controlled embedding into existing portals. The phased migration approach reduced risk while validating KPI consistency and performance under live load. Benefits included better traceability, lower development overhead, and stronger customer-facing transparency.

View the gallery of examples of dashboards and visualizations.

Nickel Foam Electrode Fabrication Company Migrates From Oracle BI To StyleBI

The company switched to support faster operational insight into plating, porosity, yield, and quality conditions. Oracle BI delivered reporting depth, but the team wanted a more agile and embeddable platform for production workflows. StyleBI enabled real-time mashups across sensors, ERP records, and lab outputs with improved responsiveness. Engineers and operators could iterate dashboards faster and detect process drift earlier. The move delivered better cross-team visibility, reduced overhead, and more proactive quality control.

Garnet Mining Company Switches from Redash to InetSoft for AWS-Based Visual Reporting

The mining organization needed to move beyond SQL-heavy dashboards that limited access for non-technical users. It also needed richer interactivity and better performance across Redshift, RDS, and S3-backed analytics workloads. InetSoft was chosen for AWS-friendly integration, data mashup flexibility, and more usable visual exploration. Teams gained faster decisions through auto-refreshing dashboards and interactive filtering across sites and equipment. Adoption expanded materially while IT spent less time on manual report maintenance.

How a Jet Engine Component Refurbisher Switched from NetSuite to StyleBI for Supply Chain Dashboards and Reports

The refurbisher switched because static ERP dashboards were not enough for complex, compliance-heavy supply chain operations. It needed multi-source integration across ERP, manufacturing, logistics, and quality systems in one analytical view. StyleBI delivered role-based interactive dashboards with drill-through analysis and proactive alerting. This improved the ability to identify bottlenecks, forecast delays, and maintain traceability for regulated components. The company gained faster reporting, stronger compliance readiness, and clearer ROI from supply chain optimization.

How a Haptic Interface Manufacturer Switched from Vena Solutions to StyleBI for Financial BI Dashboard Software

The manufacturer changed platforms because spreadsheet-centered workflows were too rigid for cross-functional financial intelligence. It needed richer visualization, broader integration with operational systems, and better scalability as data volumes grew. StyleBI enabled self-service dashboards for finance, engineering, and operations while reducing manual consolidation work. Automated refresh and drill-down capabilities improved planning speed and financial transparency. The result was a more data-driven culture with lower licensing pressure and stronger decision support across departments.

How a Graphene Coatings Specialist Switched from Bold Reporting to InetSoft for Its Enterprise Reporting Tool

The specialist migrated to overcome single-source and static-report limitations that constrained production and R&D insight. It required a platform that could mash up instrument, ERP, CRM, and quality data for deeper analysis. InetSoft provided interactive, scalable reporting that supported drill-down and faster cross-team collaboration. IT overhead dropped because centralized self-service dashboards replaced repeated custom template maintenance. The company achieved quicker reporting cycles, better operational alignment, and improved customer transparency.

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