200X Acceleration at
1/10th of the cost
Zero
maintenance
No credit card
required
Zero coding
infrastructure
Multi-level
security
Simplify Intersystems Cache integration in
4 simple steps
Create connections
between Intersystems Cache and targets.
Prepare pipeline
between Intersystems Cache and targets by selecting tables in bulk.
Create a workflow
and schedule it to kickstart the migration.
Share your data
with third-party platforms over API Hub
Why choose Lyftrondata for Intersystems Cache Integration?
Simplicity
Build your Intersystems Cache pipeline and experience unparalleled data performance with zero training.
Robust Security
Load your Intersystems Cache data to targets with end-to-end encryption and security.
Accelerated ROI
Rely on the cost-effective environment to ensure your drive maximum ROI.
Customer's Metrics
Track the engagement of your customers across different channels like email, website, chat, and more.
Improved Productivity
Measure the performance of your team and highlight areas of improvement.
360-degree Customer View
Join different data touch points and deliver personalized customer experience.
Hassle-free Intersystems Cache integration to the platforms of your choice
Migrate your Intersystems Cache data to the leading cloud data warehouses, BI tools, databases or Machine Learning platforms without writing any code.
Your Cloud Data Warehouses
Your BI Tools
Your Database
Your Machine Learning Tools
Hear how Lyftrondata helped accelerate the data journey of our customers
FAQs
What is Intersystems Cache?
InterSystems Caché is a high-performance, multi-model database management system developed by InterSystems. It is designed to support a wide variety of data models and paradigms, including object-oriented, relational, and document-based approaches. Caché is particularly well-suited for applications that require high-speed transaction processing, complex data handling, and scalability, making it popular in industries like healthcare, finance, and logistics.
What are the features of Intersystems Cache?
High Performance and Scalability:
In-Memory Processing: Caché can cache data in memory, enabling rapid data access and minimizing latency, which is essential for real-time applications.
Efficient Data Indexing: It uses efficient indexing and data storage mechanisms, making it ideal for applications with high throughput and low-latency requirements.
Horizontal and Vertical Scalability: Caché is designed to scale both horizontally and vertically, supporting applications that need to grow in terms of users, transactions, or data volume.
InterSystems IRIS Compatibility:
InterSystems IRIS: InterSystems introduced IRIS as a next-generation data platform that includes Caché technology. While many organizations still use Caché, IRIS provides enhanced analytics, AI integration, and more advanced cloud capabilities.
Interoperability: Caché applications can easily transition to IRIS for organizations seeking cloud or AI-driven capabilities.
Security:
Role-Based Access Control (RBAC): Caché provides granular security controls, allowing for role-based access management and ensuring that only authorized users can access or modify data.
Encryption: It offers support for encryption of data at rest and in transit to enhance security in sensitive environments such as healthcare and finance.
What are the shortcomings of Intersystems Cache?
Limited Open Source Ecosystem:
Small Community: Unlike popular open-source databases such as MySQL, PostgreSQL, or MongoDB, Caché has a smaller developer community. This results in fewer community-driven tools, plugins, and resources (e.g., forums, tutorials, and open-source extensions) for troubleshooting or enhancing functionality.
Lack of Open-Source Flexibility: Organizations used to working with open-source databases may find Caché limiting due to the absence of open-source tools and broader third-party integrations that open-source alternatives typically provide.
Integration Challenges:
Compatibility with Modern Tools: While Caché supports integration with various systems, it may not always integrate as smoothly with newer data analytics, business intelligence, or cloud-native tools compared to more popular databases that are widely supported by third-party services.
Limited Out-of-the-Box Cloud Features: Caché is not as natively integrated with cloud ecosystems (AWS, Google Cloud, Azure) as some newer, cloud-native databases. While it can be used in cloud environments, there might be additional complexity or custom development required to fully optimize its performance and scalability in the cloud.
High Licensing and Support Costs:
Cost of Ownership: As a proprietary product, Caché can have higher licensing and maintenance costs compared to open-source databases. Organizations need to consider the total cost of ownership, especially if they require enterprise-level features or support.
Enterprise Support Dependency: High reliance on InterSystems for critical support and updates can increase costs over time, particularly for organizations that need premium support or advanced features.
Make smarter decisions and grow your sales with Lyftrondata Intersystems Cache integration
