Gravity Data Verified Customer Reviews (2026)

Multi-Entity Cloud Accounting Software for Growing Businesses Gravity Software is an intuitive, cloud-based accounting solution built for small to mid-market companies that have outgrown entry-level systems like QuickBooks or legacy software like Sage 50. Built on the Microsoft Power Platform (Dynamics 365), Gravity combines robust financial management tools with enterprise-level scalability — without the high cost or complexity of traditional ERP systems. 🎈 Manage multiple entities and locations in one system 🎈 Visualize performance with Power BI dashboards 🎈 Automate accounts payable and approval workflows 🎈 Eliminate silos with unified financial, sales & service data 🎈 Improve cash flow and decision-making with real-time insights Trusted by businesses in real estate, family offices, healthcare, professional services, hospitality, and nonprofits, Gravity is designed to simplify complex accounting and help your organization grow smarter. 👉 Learn more or schedule a demo at gogravity.com

AnalyticsCreator helps Microsoft data teams turn governed design into deployable data solutions without introducing a proprietary runtime layer. Teams use AnalyticsCreator to define warehouse structures, transformation logic, historisation rules, relationships and dependencies in a central model. From that model, the application can generate native implementation assets for technologies such as SQL Server, SSIS, Azure Data Factory, Microsoft Fabric and Power BI. The approach is designed for organisations that want to standardise how data warehouses and data products are engineered while keeping full control of the resulting code and project artefacts. Generated outputs can be integrated into existing Git, Azure DevOps and CI/CD workflows for versioning, review and controlled deployment across environments. AnalyticsCreator supports dimensional, 3NF and hybrid modelling as well as common engineering patterns including delta loading, Slowly Changing Dimensions, snapshots and historisation. Documentation, lineage and dependency information are maintained alongside the project design, making it easier to assess the impact of proposed changes and keep implementation aligned with the underlying model. The AnalyticsCreator Governed Control Model provides the foundation for this process by keeping business meaning, technical structures and implementation logic connected. Design Intelligence builds on that context by making governed project metadata, lineage, dependencies and design rules available to authorised AI tools and agents. Typical use cases include modernising SQL Server and SSIS estates, building Microsoft Fabric solutions, standardising Power BI delivery and creating repeatable data warehouse and data product engineering processes.

Cribl Stream enables the creation of an observability pipeline that facilitates the parsing and reformatting of data in real-time before incurring costs for analysis. This tool ensures that you receive the necessary data in your desired format and at the appropriate destination. It allows for the translation and structuring of data according to any required tooling schema, efficiently routing it to the suitable tools for various tasks or all necessary tools. Different teams can opt for distinct analytics platforms without needing to install additional forwarders or agents. A staggering 50% of log and metric data can go unutilized, encompassing issues like duplicate entries, null fields, and fields that lack analytical significance. With Cribl Stream, you can eliminate superfluous data streams, focusing solely on the information you need for analysis. Furthermore, it serves as an optimal solution for integrating diverse data formats into the trusted tools utilized for IT and Security purposes. The universal receiver feature of Cribl Stream allows for data collection from any machine source and facilitates scheduled batch collections from REST APIs, including Kinesis Firehose, Raw HTTP, and Microsoft Office 365 APIs, streamlining the data management process. Ultimately, this functionality empowers organizations to enhance their data analytics capabilities significantly.