esProc Description
esProc, a professional structured computing tool is available. It is built-in with SPL language that is more natural and simpler than python. Complex data processing will make it more difficult to use simple SPL syntax and follow clear steps. You can see the result of each action and control the calculation process according to that outcome. It is particularly useful for solving order-related calculations, such as the problems in desktop data analysis: same/last period ratio, ratio compared with last period, relative interval retrieving, ranking within groups, TopN within groups. esProc is able to directly process data files such CSV, Excel and JSON.
esProc Alternatives
High-Performance Data Engineering. Total Sovereignty.
TIMi delivers the power of a complete cloud data stack—on-premises, fully sovereign, and ridiculously fast.
We reject artificial vendor lock-in and hidden costs. Instead, we offer absolute peace of mind through engineering excellence, giving your team the freedom to experiment, innovate, and solve complex AI, analytics, and automation challenges in record time.
Why Top Enterprises Choose TIMi?
Enterprise Integration & *No-Code* ETL/Data preparation: Automate complex workflows and seamlessly link your entire stack: SAP, Salesforce, SharePoint, S3, Azure Storage, PowerBI, Tableau, etc.
Unmatched Infrastructure Efficiency: Our competitors such as Databricks, Dataiku, and MS Fabric all rely on Spark—and that makes them inherently inefficient since a single €2k TIMi server outperforms a 267-node Spark cluster. TIMi process billions of rows in seconds and manage petabyte-scale data lakes at a fraction of the cost.
Proven AI Leadership: Harness pioneering machine learning from the creators of the first Auto-ML engine (est. 2007).
Whether deployed on-premises or via our EU-Hosted Sovereign Cloud, TIMi empowers leaders in Banking, Telecoms, Manufacturing, Retail, Defense and Government.
Learn more
BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
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Domo
Domo has become a part of Progress Software, integrating its AI and data platform into Progress' suite of offerings. This cloud-native AI data readiness platform not only enhances but also expands Progress' existing data solutions, fostering significant synergies that facilitate the development of innovative, secure, and scalable AI data readiness solutions on a global scale. These combined strengths will assist clients in transforming fragmented enterprise data and insights into governed, AI-ready intelligence, thus elevating the security, governance, and cost-effectiveness of AI-driven projects.
Positioned as the agentic platform for the intelligent enterprise, Domo empowers organizations to connect, govern, activate, and disseminate both data and AI effectively. Collaborating with cloud data platforms such as Snowflake, BigQuery, and Databricks, Domo enables the conversion of governed data into various AI agents, applications, workflows, dashboards, and analytics. Additionally, its robust data foundation, activation, and distribution layers empower teams to create and implement intelligence precisely where their work occurs, all while ensuring governance, security, and access controls are firmly in place across both data and AI initiatives. This comprehensive approach not only streamlines operations but also enhances the overall effectiveness of data-driven decision-making within organizations.
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Qrvey
About Qrvey
Qrvey pioneered multi-tenant self-service analytics for SaaS companies and now leads the evolution toward AI-driven, autonomous analytics. With over 20 years of experience, we provide industry-leading guidance and support, ensuring our clients achieve their analytics goals. Our deep understanding of multi-tenant SaaS architecture and comprehensive services make us the partner of choice for SaaS leaders.
About Qrvey Platform
Qrvey is the embedded analytics platform designed specifically for SaaS companies. Qrvey offers insight, agility and growth.
Insight for your customers
· True self-service with unlimited customization
· AI-driven insights
· No-code workflow automation
Agility for your product team
· End-to-end embedded analytics platform
· Native multi-tenant security
· Flexible multi-cloud deployments
Growth for your business
· Flat-rate pricing for scale
· Unmatched monetization opportunities
· Embedded services
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Pricing
Free Trial:
Yes
Integrations
No Integrations at this time
Company Details
Company:
Raqsoft
Year Founded:
2000
Headquarters:
China
Website:
www.raqsoft.com
Media
Install and use immediately, with WYSIWYG-style interface that enables easy debugging and convenient intermediate result reference.
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Product Details
Platforms
Windows
Mac
Linux
Types of Training
Training Docs
Customer Support
Business Hours
Online Support
esProc Features and Options
Data Analysis Software
Data Discovery
High Volume Processing
Text Analytics
ETL Software
Data Analysis
Data Filtering
Match & Merge
Non-Relational Transformations
Embedded Analytics Software
Ad hoc Query
Application Development
Streaming Analytics
Reporting Software
Data Source Connectors
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