SDC Hadoop Data Storage and Computing Software is a fundamental big data tool based on distributed technology. It provides users with massive data storage, computing, and analysis capabilities.
1、Supports unified storage of structured, semi-structured, and unstructured data. 2、Supports policy-based storage configuration for dynamic classification storage of small,medium, and large files. 3、Supports custom configuration of storage archiving policies for rapid archiving management and intelligent retrieval of data assets.
1、Supports various data sources, including relational databases, distributed databases, NoSQL databases, file systems, message queues, etc. 2、Supports graphical task design and orchestration for data mart topic models and data fusion. 3、Based on the multi-source heterogeneous fusion computing engine, supports intelligent perception of materialized views. 4、Supports various types of data operations and processing functions, such as relational operators, arithmetic operators, string processing, etc. 5、Supports standalone and distributed deployment modes.
1、Provides a unified SQL parsing layer for access and operations, supporting P/LSQL, TSQL syntax; compatible with SQL2003, SQL99, SQL92 standards; supports Oracle, SQL Server dialects and stored procedures. 2、Supports wizard-based construction of enterprise data warehouses, providing graphical design for data warehouse layering. 3、To facilitate rapid data warehouse construction, supports online SQL IDE for SQL script debugging and data preview. 4、Supports distributed transaction mechanisms and batch CRUD (Create, Read, Update,Delete) operations to ensure data operation ACID compliance.
1、Supports visual orchestration of real-time computing tasks, providing various data stream processing operators. 2、Supports micro-batch event processing and event-driven processing modes for stream computing. Also supports CEP (Complex Event Processing). 3、Supports configuration, monitoring, and management of stream-based machine learning,user-defined functions (UDFs), and real-time computing tasks.
1、Supports online preview and data download for structured and unstructured data; search performance for billions of records achieves millisecond-level response. 2、Supports multi-tiered storage (memory, SSD, SATA/SAS disks) and SSD hardware acceleration for hot, warm, and cold data. 3、Supports standard SQL for multi-dimensional combined exact queries, fuzzy queries,keyword, phrase, and wildcard rapid matching. 4、For building enterprise knowledge bases, supports rapid data archiving and full-text retrieval based on the unified data storage service.
Combining data distribution characteristics, it achieves balanced data loads across computing nodes by statistically analyzing execution information during computation and dynamically adjusting data shards. This results in computational capabilities several times higher than the open-source version in distributed computing scenarios, effectively enhancing data processing power. In multi-task parallel environments, it provides faster distributed computing speeds. For ultra-large cluster scales, it ensures more stable cluster operation.
The scenario-based SDC SQL engine avoids the data scenario limitations caused by the tight coupling of SQL engines, computing engines, and storage engines. By decoupling the SQL engine from the computing engine, it broadly supports numerous data computing scenarios,including interactive query analysis, OLAP, OLTP, data retrieval, real-time computing, and graph analysis. Concurrently, the SDC SQL engine supports standard SQL 99, Oracle, SQL Server dialects, and stored procedures, providing users with a unified SQL parsing layer for data access and operations. To adapt to computational tuning for different data tasks, the SDC SQL engine supports tuning configurations based on sessions or individual SQL statements, offering a more flexible configuration model for user task execution.
Multi-source heterogeneous data fusion computing, as a next-generation fusion computing engine, redefines the traditional data processing model for offline data fusion computing. Based on an intelligent SQL engine, it extends SQL syntax. Leveraging the distributed fusion computing engine, it supports online fusion calculations across different data source types and data types.Furthermore, to meet the data modeling needs of data warehouses and data marts, it supports intelligent perception and scheduling of materialized views based on the distributed fusion computing engine, providing a graphical drag-and-drop tool for rapid, batch construction of data models.
To reduce the complexity and deployment costs associated with planning layered, multi-domain large-scale clusters, it provides intelligent planning and one-click cluster installation/deployment based on service groups, roles, services, and node loads. Simultaneously, to meet the needs of unified operation, maintenance, and security control, it offers visual O&M management, unified log management, a web-based command-line shell tool, Kerberos authentication, KMS data encryption, and an RBAC user permission management model. It supports fine-grained data access control to ensure the system and data are protected from malicious attacks and security threats.
Provides one-stop big data products, technical services, and solution support capabilities for various data analysis and computing scenarios.
Helps government and industry users efficiently store, archive, and manage various types of data, providing a unified data storage service.
Begin Your Data Intelligence Journey Today
7X24 hour service
Expert one-on-oneContinuous Business Assurance
Zero response delayStandardization implementation
Fully intelligent real-time monitoringPowerful delivery capability
Realize customer value
Contact us to get a free product trial immediately.
Contact Number:
028-85191983/85193353Service Hotline:
4000-660-998Chengdu Sefon Software Co.,Ltd. © 2020 SEFONSOFT ALLRIGHTS RESERVED
Copyright ©Chengdu Sefon Software Co.,Ltd.
蜀ICP备14024109号
WeChat：Sefonsoft
