Data Integration Software
- Single, unified data integration solution works with any technology in the cloud or on premises
- Reusable templates reduces TCO by reuse of existing integrations
- Diverse portfolio of dedicated connectors supporting legacy and modern sources
- Efficient architecture ELT decentralized transformation architecture
Why Data Integration?
Consolidate your data from disparate sources regardless of technology, in the cloud or locally.
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Unlock Insights
Seamlessly consolidate data from disparate sources, enabling comprehensive analysis and actionable insights that drive informed decision-making.
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Enhance Efficiency
Streamline operations by eliminating data silos and manual processes, boosting productivity and reducing errors across your organization.
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Ensure Data Quality
Establish a single source of truth with standardized data, ensuring accuracy, consistency, and compliance with regulatory requirements.
Looking to connect your Data Management solution with data sources?
Check-out our portfolio of 70+ connectors here.
Modernize Infrastructure, Reduce Costs
Our data integration software’s simplified, model-driven approach and flexibility enable you to adapt to any integration requirements for a fraction of your existing development and maintenance costs.
Powerful Automations
Visually design data flows that convert business rules into deployable code that integrates, transforms and publishes data.
Agnostic Architecture
Extensible and open architecture that supports on-premise, cloud, hybrid and multi-cloud deployment environments.
Unified Data Integration Solution
Fast, powerful and secure data integration tools for real-time streaming or batch processing all in one tool.
Native Integrations
Easily integrate your data with our growing portfolio of dedicated connectors supporting legacy and modern sources.
Accelerated Migrations
Out-of-the-box migration utilities automate the conversion of existing legacy technology jobs into Data Integration.
Evolutive Data Integration for Ever Changing Needs
Our data integration solution’s unique design approach and unified architecture empower teams to simplify integration development, deliver data efficiently at a low cost, and rapidly adapt to ever-changing business or technical requirements.
How do businesses not only streamline data structure but also optimize costs when purchasing a data integration solution? Read our DI best practices book.
Universal Mapping
Data Integration’s low-code integration design:
- Allows you to focus on the business rules, while automatically generating code and technical processes.
- Enables your technical and business teams to collaborate, develop, and deploy integrations quickly that satisfy any requirement.
- Reduces integration development time by 80%.
Metadata Driven
Industrialized templates:
- Promote reuse of existing integrations, but easily adapt to new or updated data flows.
- Streamline the data integration development process while improving overall quality, productivity, and flexibility.
- Reduce integration maintenance costs by 300%.
Robust Architecture
Decentralized transformation architecture:
- Handles immense volumes of data, regardless of technology, without compromising performance.
- Is immediately operational; non-intrusive deployment minimizes use of intermediate resources with seamless scalability.
- Reduce infrastructure and TCO by 80%.
Get Data Integration on-Prem
Download and Try our Data Integration Software for Free Using Your Data
Download Data Integration on your laptop or local server. Check our tutorials and installation guide to get started.
Install Semarchy’s Data Integration module on your laptop, local server or cloud services. Learn more about our data platform deployment options.
Data Integration Core Capabilities
Data Integration’s high-performance data integration tools allow you to deliver data at amazing speeds, no performance loss and at fraction of the cost.
Data Flow Design
Collaboratively design using universal mapping with metadata reverse-engineering, lineage, and impact analysis for simple or complex transformations.
Version Control
Built on Eclipse RCP architecture with no referential in databases, allowing model designers to be fully autonomous and easily use your favorite version control system (GIT, CVS, or SVN).
Integration Patterns
Cross-technology data replication and synchronization with change data capture (CDC) support for bulk/batch, message-oriented, streaming, APIs, and microservice integrations.
Extensible Connectivity
Fully extensible framework with custom technology descriptors to support any technology without restricting capabilities, and to automatically generate optimized processes.
Native Adapters
Dedicated connectors with technology descriptors and process templates to support over 70+ legacy or modern enterprise systems, data formats, files, databases, XML, web services, and APIs.
Flexible Deployment
Integrate Data Integration into your existing CI/CD/DevOps lifecycle with CLI and API for scripted deployment and hybrid/multi-cloud support using our multi-platform runtime engine.
Monitoring & Administration
Web-based admin dashboard to plan, configure, and manage deployments with production analytics to monitor live executions or replay past ones using diagrams.
Security & Protection
Single sign on (SSO) for production to secure data transfer, native secrets manager, and data protection with built-in anonymization, pseudonymization, and audit of sensible data.
Migration Utility
Easily automate the conversion of existing legacy technology integration jobs (ODI, InfoSpere, SSIS, etc.) into Data Integration compatible framework to accelerate migrations between any system.
Data Integration In Your Environment
Simple, Lightweight Architecture
Data Integration’s high-performance and light architecture consists of only three simple components: Designers, Runtimes, and Production Analytics.
Designers: Used to configure the logic, integration, and/or data transformation processes while anonymizing its content without requiring installation of “agents” to function. Data Integration stores metadata in XML so there are no relational referential integrity issues in databases – giving every designer full autonomy.
Runtime: Data Integration’s decentralized strategy uses a single lightweight Java component (Runtime Environment) with no referential architecture allowing it to be installed independently on any environment without external components. Execution logs can be stored locally, in another relational database, distributed or centralized.
Production Analytics: Used as the “control tower” for operations to manage data integrations, aggregate execution logs, package configuration, deploy scheduling, and monitor all your runtimes in a single, simple web-based administration dashboard.
Hybrid Architecture Support
Data Integration is completely flexible to your specific runtime needs with failover management, load balancing support, and compatibility with Docker and Kubernetes.
Designers: Eclipse-based RCP architecture stores metadata in XML format with robust version controls (GIT, CVS, SVN, TFS…) and advanced access control by password, role, or user-based permissions.
Runtime: Support for multiple runtime modes that you can add or remove based on your needs. Data Integration offers native load balancing with automatic failover management and redirect to your clusters. You can also implement top-level load balancers to distribute executions on a cluster of runtimes and compatibility with Docker and Kubernetes architectures.
Production Analytics: Web-based application to mange all your production processes. Define as many environments as needed (development, test, production) with their own runtimes and configurations. Dedicated features allow you to follow and publish deliveries with historicization and rollback capabilities.
FAQs
Semarchy’s data integration software supports a range of patterns, including both batch integration using ETL/Data Integration products and real-time integration patterns. For more information on supported data integration patterns, please get in touch.
Our integration partners include Salesforce, SAP, Oracle, MS Dynamics and NetSuite, while we also offer data blending with external data providers such as Melissa Data, Dun & Bradstreet, Google, GB Group, and Bing.
Absolutely! A better data integration solution leads to better data quality, data governance, and overall master data management. According to Gartner, every year, poor data quality costs organizations an average of $12.9 million. Poor quality data also increases the complexity of data ecosystems and leads to poor decision making.
Our global support policy is one of the best in the business! Reviewers (end users) gave us a 98+ out of 100 approval rating in the Vendor Friendly Policies vs. Client Friendly Policies section in the SoftwareReviews’ 2022 report. We ranked 3rd in this category out of 15 MDM vendors! See here how they rated us.
Request a Demo
Semarchy experts can walk you through the details of Data Integration in the context of your business requirement and industry. We will be happy to tailor a comprehensive custom demonstration highlighting the features that will make your future project successful.
