
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Plauti builds native data-quality applications that run entirely within your CRM environment. No data is sent to external servers or third-party processing services, and there’s no parallel infrastructure to maintain. Your data stays where it belongs: under your control, behind your security perimeter, governed by your own access model.
For Salesforce, Plauti addresses the full lifecycle of data quality:
> Prevention at entry: Real-time duplicate detection alerts users as they type, blocking bad data before it’s created.
> Detection from external sources: Identify duplicates coming from integrations, imports, and APIs, so data quality doesn’t degrade over time.
> Batch remediation at scale: Run powerful batch jobs to find, review, and merge existing duplicates, with full audit trails for compliance and governance.
> Contact data verification: Validate email addresses and phone numbers before they’re saved to reduce bounces and failed outreach.
All processing runs natively on Salesforce infrastructure. Plauti respects your existing profiles, roles, and permission sets, so there’s no separate login, no data synchronization layer, and no new security surface to harden.
For Microsoft Dynamics 365, Plauti provides similar control over duplicates with real-time alerts, API-driven detection, batch processing, and cross-entity matching. It’s designed for CRM admins and data stewards who need direct, immediate control over data quality without waiting on developers, external consultants, or long IT ticket queues.
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Dedupely
Dedupely is a robust CRM deduplication solution designed to assist businesses in preserving clean and precise customer data by detecting and consolidating duplicate entries across contacts, companies, deals, and custom objects in platforms such as HubSpot, Salesforce, and Pipedrive. Utilizing real-time scanning and customizable merging protocols, it ensures that you retain the most pertinent information. The platform performs continuous scans of your CRM, automates the deduplication process, and allows for both bulk and individual merging of duplicates. With advanced matching criteria and filtering options, users can fine-tune their searches based on exact, similar, or fuzzy data parameters. Dedupely offers seamless integration with your CRM, facilitating support for unlimited users and integrations while operating discreetly in the background to identify duplicates as they arise, all while granting you complete authority over the merging process. Users can establish intricate merging rules, examine extensive duplicate groups simultaneously, and maintain detailed audit logs of all modifications for enhanced transparency. Furthermore, Dedupely’s user-friendly interface makes it accessible for teams of any size, ensuring effective data management across the organization.
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ArchiverFS
ArchiverFS offers a file archiving solution designed for servers and network storage systems, enabling any device to function as secondary storage. This solution has a minimal impact on the host system and provides comprehensive support for cloud integration, distributed file systems (DFS), replication, de-duplication, and data compression. With ArchiverFS, users can utilize any NAS, SAN, or cloud service to store older unstructured files, as long as it can be shared over the network using a UNC path and formatted with NTFS. Notably, the system operates without relying on a database for storing files, their pointers, or metadata—utilizing NTFS exclusively throughout the process. Furthermore, ArchiverFS facilitates the bulk transfer of outdated files from primary storage to secondary storage, while ensuring that all file attributes, permissions, and directory structures are preserved. Additionally, users can leave behind various links in place of the relocated files, including fully functional symbolic links that replicate the appearance and behavior of the original files seamlessly. This innovative approach not only streamlines storage management but also enhances the efficiency and organization of file systems.
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