InRule vs. SmartStream Transaction Lifecycle Management

With InRule, we are expecting to be able to move business logic out of the developer domain and back into the business domain. Business logic is currently captured in UI (data validation) and middleware layers. These are areas in any application where leveraging InRule's capabilities allow for changes in business logic to be made with little or no IT involvement.

TLM will be well suited for an organization's recon requirements. If the organization is able to afford the software, it will be worth investing the amount. The support for heterogeneous file formats is one of the key features. It can accept swift and flat files. The config screens for ingesting the data are very user-friendly. Overall the time taken for setting up a new recon is very less. TLM can be improved if they bring in some AI/ML algorithms for improved match rates.

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info

• It is easy to tweak business rule parameters.
• Create new logic with low barriers.

Incentivized

Invited by the Vendor

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Matching Rules are easy to implement
• Dashboards are user friendly and customizable
• Supports multiple file formats for easy data ingestion

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info

• Needs more debugging capabilities.

• Data Archival
• AI and Machine Learning for better match rate
• Better reporting capabilities

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info

InRule's Support Portal provides a "one stop shop" for submitting support questions, accessing training information, managing licenses, and getting updates on InRule's roadmap.

InRule offers a more organized software design, a well-structured framework in design, and is easier for new users to start contributing given documentation. Drools is spreadsheet-based and lacking the capability to do really advanced pseudo-programming.

Incentivized

Invited by the Vendor

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Excel was used as a traditional recon tool using macros for matching. There is no room to scale up the recons using excel. The recons are cumbersome and take a lot of time to complete. There are more chances of manual errors. No UI to create a good user experience. Overall all negatives compared to TLM

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info

• It is always reliable and efficient.
• Has won customers over.

• Recons completed within SLA's
• Improved match rates
• User friendly dashboards

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info