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, consistent distributed database. 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 a natural replacement for DataSynapse GridServer.
Adapting, Not Overhauling, Software
When your software is designed to leverage GridServer’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 GridServer 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 Distributed Computing API helps 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.
Integrating into a Control Center
Another advantage you get when you switch to Apache Ignite is having the ability to integrate with GridGain. This allows you to take advantage of features like the GridGain Control Center.
The Control Center 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.
You can use the GridGain Control Center to coordinate all your GridGain Nebula activities as the GridGain team takes care of patching, provisioning, and other back-end tasks.
For example, consider deploying dependencies to your GridGain nodes. Executing distributed computing activities frequently requires a high number of dependents.
Using deployment units and GridGain Nebula, you can easily supply all dependencies to your cluster. Each deployment unit includes a list of dependents, which Nebula sends to the cluster and saves in metastorage. When you deploy a version, all nodes in the cluster download the list of dependencies from the given repository or URL.
GridGain and Apache Ignite users can employ Nebula’s managed software-as-a-service (SaaS). With the support of a 24-7 operations staff, Nebula accelerates cluster installation in public clouds, standardizes cluster settings and security, and ensures service-level agreement (SLA) uptimes.
To assure isolation and resource availability, Nebula establishes clusters within a specialized infrastructure. Customers only pay for what they use through pay-as-you-go pricing, and they can cancel the service at any time.
Both Apache Ignite and GridGain offer in-memory computing, clustering, servers and clients, multi-tiered storage, in-memory data grid, and much more.
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.
Try the fully-managed GridGain Nebula service today to experience how it can replace your GridServer architecture with enhanced Apache Ignite capabilities to scale your applications.
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