Best On-Premise Data Integration Software - Page 11

Podio SSIS Components by Devart

Devart SSIS Data Flow Components for Podio allow you to integrate Podio data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized Podio Source, Podio Destination, and Podio Lookup components and provide their own Podio Connection Manager with lots of Podio-specific connectivity features. - Export data from Podio to various sources - Import XML, CSV, and other files to Podio - Automate Podio integration via SSIS Data Flow tasks - Migrate from/to Podio using SSIS - Synchronize Podio with SQL Server or other data sources - Integrate various data sources with Podio via SSIS

Popsink

Popsink serves as a foundational platform for seamless data movement. Its cutting-edge connectors enables automated, real-time, and continuous data replication across databases, systems, applications, and more. With live connections built in minutes and easily extensible, Popsink automatically scales to evolving data needs and integrates with new services with ease. Businesses rely on Popsink for data platform ingestion, cloud migration projects, CRM enrichment, real-time analytics, and a wide range of other use cases.

Average Rating: 4.0/5.0

Total Reviews: 1

PostgreSQL SSIS Components by Devart

Devart SSIS Data Flow Components for PostgreSQL allow you to integrate PostgreSQL data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized PostgreSQL Source, PostgreSQL Destination, and PostgreSQL Lookup components and provide their own PostgreSQL Connection Manager with lots of PostgreSQL-specific connectivity features. - Export data from PostgreSQL to various sources - Import XML, CSV, and other files to PostgreSQL - Automate PostgreSQL integration via SSIS Data Flow tasks - Migrate from/to PostgreSQL using SSIS - Synchronize PostgreSQL with SQL Server or other data sources - Integrate various data sources with PostgreSQL via SSIS

Precisely Ironstream

Integrating critical IBM z and IBM i machine data into today’s IT analytics and operations management platforms to provide a 360° view of your IT environment and enable faster, more accurate decisions.

Precisely Ironstream for ServiceNow

When IT services go down, so does your business. But, ensuring high service availability is harder than ever. IT must contend with a rapidly expanding, complex infrastructure, and the necessary insights may be trapped in disconnected tools. While ServiceNow helps overcome those challenges by connecting enterprise IT with a single, unified platform, it doesn’t support the mission-critical mainframe and IBM i systems that run your business. Ironstream for ServiceNow is the only Now® Certified solution to seamlessly integrate IBM mainframe and IBM i systems into the ServiceNow platform. No mainframe or IBM i expertise is needed. Discovery support delivers a truly complete, accurate and up-to-date Configuration Management Database (CMDB). Event Management integration extends the power of AIOps to dramatically reduce service outages.

Precisely Ironstream for Splunk

You rely on Splunk’s IT analytics dashboards to manage IT operations, security, regulatory compliance, and more. But Splunk doesn’t integrate with mainframe and IBM i systems, leaving a glaring blind spot. Ironstream makes it simple to securely collect, transform and forward log data from these traditional IBM systems to Splunk, where it’s merged with machine data from across your infrastructure. Ironstream delivers real-time, total visibility, without the need for redundant, siloed tools, or specialized IBM mainframe or IBM i expertise. Comprehensive, powerful insights are at hand as users can easily search, analyze and visualize the data from all your enterprise systems in one location.

ProInt

Progressive’s enterprise integration platform, ProInt enables secure, reliable and auditable integration between systems. This single-tenant middleware solution offers preconfigured standard connectors to a range of systems including Octave Attune EAM (formerly HxGN EAM), IBM Maximo, Infor SunSystems (on premise and cloud), Yooz & OANDA. ProInt is highly flexible and can be quickly configured to orchestrate connections between disparate systems. It enables organisations to connect systems with confidence, and scale with ease. Engineered specifically for organisations running complex financial, asset management, and operational ecosystems, it ensures data flows reliably, securely, and in real time, whether integrating legacy applications or modern cloud platforms, giving you the control and insight needed to drive better business outcomes. Learn more here: https://progressive-tsl.com/proint-enterprise-integration-platform/

Python Connector for Zoho CRM

Q-BOX

Q-BOX Data Transfer Appliance Keeps Your Sensitive Data Safe No Matter Where You Send It.

Qlik Sense & Qlik View Connector for Jira

QuickBooks SSIS Components by Devart

Devart SSIS Data Flow Components for QuickBooks allow you to integrate QuickBooks data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized QuickBooks Source, QuickBooks Destination, and QuickBooks Lookup components and provide their own QuickBooks Connection Manager with lots of QuickBooks-specific connectivity features. - Export data from QuickBooks to various sources - Import XML, CSV, and other files to QuickBooks - Automate QuickBooks integration via SSIS Data Flow tasks - Migrate from/to QuickBooks using SSIS - Synchronize QuickBooks with SQL Server or other data sources - Integrate various data sources with QuickBooks via SSIS

QXchange

QXchange is a flexible, easy to use, data integration software. It can quickly and easily transfer data between many standard data formats and applications, including MS Access, Excel, Comma delimited flat file, MS SQL Server, MySQL, QuickBooks, Salesforce.com and others.

Rayven

What is Rayven? Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top. It is the platform for organisations that need to act on operational data in real-time, deploy AI that actually works in production + build software that fits the way their business operates - without replacing existing systems or waiting 18 months for results. The Problem Rayven Solves Most organisations already have the systems and data they need. The challenge is fragmentation. ERP systems, SCADA platforms, IoT devices, databases, cloud tools, and files all generate valuable data - but it sits in silos, impossible to act on in real-time. The result: manual reporting, disconnected workflows, and AI projects that fail before reaching production. Industry research shows 95% of AI projects never ship - most because the underlying data layer is not clean, connected, or ready. Rayven builds that foundation first, then activates it. The Rayven Platform Rayven operates across five unified layers, delivered as a single managed environment: - Integration: More than 600 pre-built connectors pull data from IT, OT, IoT, files, APIs, databases, and data streams - bidirectionally, in real-time. Connects industrial protocols (OPC UA, Modbus, MQTT, BACnet) alongside cloud platforms, business systems, and proprietary tools. - Data: All connected data lands in a single managed platform - structured, governed + AI-ready. Real-time processing, ETL pipelines, data lakes, and AI model training handled in one place. - Execution: Automation rules, predictive models + agentic AI run directly on live operational data. Rules-based logic, machine learning, and goal-seeking autonomous agents all operate in one execution environment. - Presentation: Custom apps, dashboards, portals, conversational interfaces, and mobile applications deployed from the same platform - built for specific workflows, not generic reporting. - Security, Governance + Hosting: Role-based access control, data lineage, audit trails, AES-256 encryption, data residency controls, and enterprise-grade infrastructure - included as standard. AI Capabilities Rayven includes ten native AI capabilities built directly into the platform: 1. Custom AI agents (goal-seeking, action-taking) 2. Predictive analytics and machine learning 3. Conversational analytics 4. Real-time and continuous model training 5. AI-led workflow automation 6. Multimodal processing (documents, video, images, audio) 7. Anomaly and risk detection 8. Forecasting and optimisation 9. Vision and edge AI inference 10. Generative operational summaries MCP server support enables direct connectivity for AI models including Claude, GPT, and others. What Gets Built Rayven customers build and deploy: - Custom operational apps and field applications. - AI agents that monitor conditions, detect anomalies + take corrective action autonomously. - Predictive maintenance and performance models running on live plant data. - Real-time dashboards and executive reporting tools. - Workflow automations spanning IT and OT systems. - Customer and partner portals. - Data pipelines and integration layers. - White-label software products delivered under partner brands. Key Differentiators vs. Point solutions (Zapier, MuleSoft, Power BI, DataRobot): point solutions do one thing well but force teams to stitch together five separate tools to cover integration, data, AI, presentation, and governance. Rayven replaces the stack. vs. Traditional enterprise platforms (SAP, Oracle, Palantir): enterprise platforms take 12-18 months and seven figures to implement. Rayven deploys in two to 12 weeks at fixed scope and fixed price. vs. Low-code app builders (Mendix, OutSystems): app builders handle the presentation layer but do not solve the underlying data and integration problem. Rayven covers the full stack. Technology Compatibility Rayven is fully technology-agnostic and works alongside existing systems: - Cloud platforms: Microsoft Azure, Google Cloud + AWS - Business systems: SAP, Salesforce, Oracle, and Microsoft 365 - OT platforms: Siemens, Rockwell, Schneider Electric, and Ignition - Industrial protocols: OPC UA, Modbus, MQTT, BACnet, and EtherNet/IP - IoT devices: any device with a data output - Custom and proprietary systems via API, webhook, or direct connector Nothing needs to be replaced. Every existing investment is preserved. Who Uses Rayven Rayven serves businesses from growth-stage to large enterprise across 24+ industries globally - manufacturing, mining, construction, infrastructure, logistics, utilities, financial services, healthcare, agriculture, government, and more. Customers across Australia, Europe, North America, South America, and Africa. Named customers include Anglo American, Fulton Hogan, Glencore, Vodafone, NSW Ports, CSIRO, Collective Intelligence, Ramjack, and AngloGold Ashanti. Delivery Options - DIY: Full platform access. Internal teams build and deploy independently. - Done-For-You: Australia-based delivery team. Fixed scope, fixed price, two to 12 weeks from brief to go-live. - Hybrid: Guided delivery first, with the customer's team taking increasing ownership over time. By the Numbers - More than 600 pre-built connectors. - Ten native AI capabilities. - More than 240 deployments live globally. - Rated 5/5 across more than 140 independent reviews. - Deploys 66% faster than traditional development. - Two to 12 weeks to first working solution. - Rayven exists to close the gap: 95% of AI projects never reach production (industry average).

Average Rating: 4.9/5.0

Total Reviews: 29

Rudol

Unlock the real power of your Data In today's data-driven landscape, the quality of your data is paramount. Poor data quality can lead to wrong business decisions, poor quality software or biased AI trainings, due to inaccurate, incomplete, or unreliable information. Enter Rudol, your data quality partner, designed to elevate your data quality game to new heights. Rudol is a comprehensive data quality platform that empowers organizations to maximize the value of their data. It's tailor-made for enterprises that recognize the importance of data quality, from improving decision-making to regulatory compliance, machine learning training or simply reducing problems in published software. And it does it for your whole organization, because it requires no technical background or coding skills whatsoever, its completely self service with 24/7 support, and all user accounts are Free, because the subscription cost is determined by the volume of your Data, enabling your whole structure to be part of the process. The foundation of data quality is understanding the landscape of your Assets. Rudol's Data Catalog allows organizations to bring order to their stack, by adding data sources from the most popular technologies, whether it's structured SQL databases, spreadsheets, dashboards, or even streaming sources. Then teams can perform Governance processes and define Owners, classify under Domains or Tags, put sensitive labels and help teams discover unknown sources for their projects. For those who don't want to have another browser tab opened, Rudol provides Slack, Microsoft Teams and Google Chrome plugins with vast functionalities, so you can find and share resources while chatting with another team member, or in your browser as a sidebar, while using your favorite analytics platform. Enabling Data Quality is a tedious process, Business Stakeholders have to chime in trying to translate their vision into technical requirements, and Software Engineers have to interpret those requirements, for coding boring, repetitive and time consuming scripts. This process is done with friction, and is very difficult to maintain over time, so Rudol bypasses this process by giving Business Stakeholders easy to build Validations that require no coding background and are extremely easy to configure. Choose from more than 15 Business Rules Validations or let Rudol parse your Data to pre configure some of them, the process takes less than 3 minutes and you can massively configure Validations to all your Assets in an instant. Releasing your Data Team from this repetitive tasks is crucial for optimizing their work and getting more value out of the practice, that's why Rudol also offers AI Validations to detect Anomalies where no business rules are defined. Use one of our 3 models to detect inconsistencies where not even Business Stakeholders can notice, and proactively notify your interested roles to identify hidden problems or false positives, because the models learn and improve with your feedback. Rudol also offers Lineage level traceability for Root Cause and Impact Analysis, allowing you to trace data from source to destination across data pipelines. Understand the upstream and downstream implications of any data issue, promoting accountability and transparency, or copy Validations accross your pipeline flow for higher quality coverage. With Rudol, Data Quality becomes accesible and easy to execute. It's designed for all levels of technical expertise, allowing everyone in your organization to participate in maintaining data quality. Rudol enhances decision-making, reduces infrastructure costs, and empowers organizations to make the most out of their data. Don't let poor data quality hinder your success. Choose Rudol and enable the real power of your Data.

Average Rating: 5.0/5.0

Total Reviews: 1

Salesforce MC SSIS Components by Devart

Devart SSIS Data Flow Components for Salesforce MC allow you to integrate Salesforce MC data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized Salesforce MC Source, Salesforce MC Destination, and Salesforce MC Lookup components and provide their own Salesforce MC Connection Manager with lots of Salesforce MC-specific connectivity features. - Export data from Salesforce MC to various sources - Import XML, CSV, and other files to Salesforce MC - Automate Salesforce MC integration via SSIS Data Flow tasks - Migrate from/to Salesforce MC using SSIS - Synchronize Salesforce MC with SQL Server or other data sources - Integrate various data sources with Salesforce MC via SSIS