Best On-Premise Data Integration Software - Page 9

Glue42 Enterprise

Glue42 empowers enterprises to customize and deploy the next generation of fluid user experience using existing applications and infrastructure. Protected by strong multi-tier security, the latest version of our platform now supports Glue42 and open APIs to enable rapid development of business solutions.

Google Ads SSIS Components by Devart

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

Google Analytics SSIS Components by Devart

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

Google BigTable Connector for Informatica IDMC

You can use Google Bigtable Connector to read, insert, and delete data from Google Bigtable. It can also be used to read the columns. It can be used to insert data to a Bigtable and it can also be used to delete rows from a table by using rowkey. Visit our website - https://www.infometry.net/product/google-bigtable-connector/ Informatica Marketplace - https://marketplace.informatica.com/listings/cloud/connectors/-infometry-googlebigtable-connector.html

HubSpot SSIS Components by Devart

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

HULFT Integrate

i2Active

i2Active is used for dual-active data replication between homogeneous databases. Through a flexible architecture (one-to-one, one-to-many, or many-to-one), it allows data users to obtain the required accurate data in real time for data analysis, testing, disaster recovery, simulation and other scenarios. This software can achieve fast data capture in milliseconds, timely, safe and reliable data transmission, and can be adapted to production systems of various scales.

Insightly CRM SSIS Components by Devart

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

Integration Gateway

KingswaySoft Integration Gateway is a real-time data integration solution that manages event-driven workflows for business-to-business (B2B) applications. It operates as a secure, self-hosted platform designed to process external event notifications within your internal infrastructure. The Gateway functions by receiving webhook triggers from popular cloud services and applications (including Shopify, HubSpot, and Dataverse) and instantly translates them into actionable messages or local workflow executions. The system is deployed within your secure environment, allowing you to maintain full control over security, compliance, and execution while reliably publishing data to enterprise messaging queues (e.g., Kafka, Azure Service Bus), file systems, or SSIS packages for immediate downstream processing. It ensures that critical data synchronization occurs instantaneously as the source event happens, eliminating traditional batch processing delays.

Invantive Data Access Point

Invantive Data Access Point is both online and on-premises software that allows exchanging data across various communication protocols.

iugum Data Software

iugum Data Software helps Improve your data management software to cleanse, match and merge your lists, datasets or databases.

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Jira SSIS Components by Devart

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

KGNN - Knowledge Graph Neural Network

Equitus KGNN is an automated data unification platform in the knowledge graph and AI data infrastructure category. It is designed for enterprise organizations seeking to ingest, structure, and contextualize large volumes of structured and unstructured data without relying on traditional ETL processes. KGNN automates the transformation of disparate enterprise data into semantically enriched, AI-ready knowledge to support use cases such as analytics, business intelligence (BI), and generative AI (GenAI) deployment. Equitus KGNN uses a combination of natural language processing (NLP), machine learning (ML), and semantic technologies to dynamically build a self-constructing RDF knowledge graph. This semantic core enables organizations to extract entities, relationships, and contextual meaning from raw data—including documents, logs, and databases—and transform it into structured, vectorized formats optimized for advanced analytics and AI model consumption. Equitus KGNN is suited for: Enterprises operating across fragmented data systems. Organizations needing contextualized data for AI, BI, or compliance use cases. Teams looking to unify legacy and modern systems without redesigning infrastructure. Key Capabilities: Automated Data Ingestion: Handles structured and unstructured sources without manual pipelines. Semantic Auto-Mapping: Dynamically generates a schema-less RDF knowledge graph. Federated Integration: Enables bi-directional data exchange across legacy and modern platforms. Real-Time Vectorization: Prepares data for AI models, RAG/CAG pipelines, and vector search. Governance and Provenance: Maintains full data lineage, security, and compliance controls. Benefits: Reduce reliance on manual data engineering by 80%. Minimize latency with near real-time data processing. Improve AI accuracy and explainability through contextual enrichment. Ensure compatibility with secure, on-premise, or air-gapped environments. Minimum System Requirements: IBM Power10/11 40 Cores 512GB RAM 4TB SSD (usable) RedHat OpenShift 4.18 X86/GPU 24 Cores 256GB RAM Nvidia GPU with 24GB+ 4TB SSD (usable) RedHat OpenShift 4.18 Equitus KGNN is built for scalability, edge-readiness, and enterprise-grade deployment, enabling seamless data unification across the full lifecycle of AI and analytics initiatives.

LOF Enterprise

LOF Enterprise creates a modern interface to multiple legacy applications using screen scraping and provides a terminal emulator for application screens which have not been modeled.

Mailchimp SSIS Components by Devart

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