Replacing TIBCO DataSynapse GridServer with GridGain

TIBCO DataSynapse GridServer and Apache Ignite are both distributed computing solutions that provide high-performance capabilities.

The TIBCO DataSynapse GridServer deployment consists of Managers and multiple Engine hosts to scale any application at any time. TIBCO designed this highly scalable software infrastructure for enterprise organizations. It enables users to submit multiple requests parallel to one another, virtually operate application services, and create multiple service instances that handle requests parallely on various grid nodes.

Apache Ignite is an open-source, distributed database for high-performance applications with in-memory speed. Optimized for in-memory speed and high-performance computing, it forms the foundation of the GridGain in-memory computing platform. Apache Ignite supports digital transformation initiatives that are focused on improving end-user or customer experience, streamlining operational efficiency, and meeting regulatory requirements.

Let’s explore what makes Apache Ignite and GridGain a natural replacement for DataSynapse GridServer.

Adapting, Not Overhauling, Software

When your software is designed to leverage DataSynapse’s distributed computing capabilities, you can adapt it when you switch to Apache Ignite. And, you can do it without a complete overhaul.

Apache Ignite can be used as a distributed database. You can query it with SQL and update it atomically using atomicity, consistency, isolation, and durability (ACID) transactions. You can also write and execute custom computations in Java, C#, and C++.

The distributed in-memory database scales horizontally across memory and disk tiers. In addition to ACID transactions, Apache Ignite supports ANSI-99 SQL, key-value, compute, machine learning, and other data-processing APIs.

You can use Apache Ignite as a distributed database that accelerates and scales your existing databases and data stores. Organizations frequently use Apache Ignite and its enterprise version, GridGain, to increase real-time application performance and scalability, support high-performance computing, and cache data scattered across databases.

When it’s time to scale and improve your application’s performance, the switch from DataSynapse to Apache Ignite is a painless experience. There’s nothing to lose and plenty to gain.

Matching Capabilities

Apache Ignite can fully replace DataSynapse by matching compute capabilities. Apache Ignite offers the same DataSynapse core capabilities, like the ability to distribute and run Java, C, C++, or .NET code across a cluster.

Apache Ignite’s compute APIs help distribute computations across cluster nodes in a balanced and fault-tolerant manner. You can submit individual tasks for execution — like a runnable task or callable task — and implement the MapReduce pattern with automatic task splitting. It sends the map computation to data nodes then sends back and combines the reduced results.

Most of your favorite streaming, gaming, banking, travel, and shopping applications likely already use Apache Ignite. Join these compute-intensive applications as you maintain your compute capabilities and gain support for more advanced applications such as machine learning, SQL, and real-time streaming APIs.

Managing and Monitoring Compute Workloads

Another advantage you get when you switch to Apache Ignite is having the ability to integrate with GridGain Control Center that enables you to monitor, manage, and troubleshoot your Apache Ignite distributed database from one handy location. Trace your performance, debug bottlenecks, optimize cluster use, backup and recover, and upgrade clusters in production with no downtime using this helpful dashboard.

For example, consider deploying compute logic to your GridGain nodes. Executing distributed computing activities frequently requires a high number of dependents. Using deployment units, you can easily supply all compute tasks with their dependencies to your cluster. Each deployment unit includes a list of dependents, which are sent to the cluster and stored in metastorage. When you deploy a version, all nodes in the cluster download the list of dependencies from the given repository or URL.

GridGain Deployment Units

Conclusion

Apache Ignite can fully replace TIBCO DataSynapse GridServer by matching its compute capabilities. Plus, Apache Ignite and GridGain users get more, such as distributed databases that support machine learning, SQL, and real-time streaming APIs. These features help developers create more advanced compute-intensive application types than they can with GridServer.

Want to learn more? Review real-world use cases of companies using Apache Ignite to overcome and resolve their high-performance computing challenges.