Data Lake Management Platform
Establishes its complete data middle-platform architecture, from data conversion, storage, virtualization to presentation
Solves the problems of customer data quality, non-real-time data, and inconsistent data from various perspectives.
Data Lake Management Platform
Establishes its complete data middle-platform architecture, from data conversion, storage, virtualization to presentation
Solves the problems of customer data quality, non-real-time data, and inconsistent data from various perspectives.
Data Lake Management Platform
Greenplum
- Real-time processing and flexible expansion
- Smart hybrid load
- Integrated data analyses
The world’s leading open source big data platform to create an ideal framework for data scientists, data architects, andbusiness decision makers to explore the fields of AI and machine learning.
MongoDB
- The most popular NoSQL database
- High flexibility, high availability, and scalability
- Provides high performance and data persistence
MongoDB’s document data model makes it easy for developers to learn and use, while providing functions that meet complex needs of various scales at the same time. As data fields are not mandatory for semi-structured data, MongoDB is suitable for developers to conduct agile development and create software systems at a faster speed, thereby allowing different characteristics of data formats.
neo4j
- Visualizing digital behavior trajectories can help understand the reasons behind correlations and improve relevant decision-making.
- Simplified and powerful query syntax also makes JOINs easier to perform.
- Excellent query performance: Performance differences can be up to 1000 times for complex relationship searches.
- Native graph algorithms: Support various graph algorithms for feature engineering, adding new variables based on graph theory.
Neo4j is currently the most popular Graph DBMS and a leading enterprise-level graph data analysis platform. With graph visualization and exploration tool Bloom, Cypher query language, and numerous integration tools and database connections, it helps developers and data scientists easily build graph-based solutions.
Elastic Stack (ELK)
- User-friendly log management and analysis solution with free open sources
- Elasticsearch X Logstash X Kibana
- High flexibility, fast query, and data visualization
Elasticsearch
Supports various languages and high-performance and unstructured JSON files, and is the best choice for various log analyses and searching.
Logstash
Open source data extraction tools can collect data from various sources, convert data, and transmit data to the desired destination.
Kibana
Data visualization exploration tools can be used for log and time series analysis and can be applied to program monitoring and smart operations.
Greenplum
- Real-time processing and flexible expansion
- Smart hybrid load
- Integrated data analyses
The world’s leading open source big data platform to create an ideal framework for data scientists, data architects, and
MongoDB
- The most popular NoSQL database
- High flexibility, high availability, and scalability
- Provides high performance and data persistence
MongoDB’s document data model makes it easy for developers to learn and use, while providing functions that meet complex needs of various scales at the same time. As data fields are not mandatory for semi-structured data, MongoDB is suitable for developers to conduct agile development and create software systems at a faster speed, thereby allowing different characteristics of data formats.
neo4j
- Visualizing digital behavior trajectories can help understand the reasons behind correlations and improve relevant decision-making.
- Simplified and powerful query syntax also makes JOINs easier to perform.
- Excellent query performance: Performance differences can be up to 1000 times for complex relationship searches.
- Native graph algorithms: Support various graph algorithms for feature engineering, adding new variables based on graph theory.
Neo4j is currently the most popular Graph DBMS and a leading enterprise-level graph data analysis platform. With graph visualization and exploration tool Bloom, Cypher query language, and numerous integration tools and database connections, it helps developers and data scientists easily build graph-based solutions.
ELK
- User-friendly log management and analysis solution with free open sources
- Elasticsearch X Logstash X Kibana
- High flexibility, fast query, and data visualization
Elasticsearch
Supports various languages and high-performance and unstructured JSON files, and is the best choice for various log analyses and searching.
Logstash
Open source data extraction tools can collect data from various sources, convert data, and transmit data to the desired destination.
Kibana
Data visualization exploration tools can be used for log and time series analysis and can be applied to program monitoring and smart operations.
Consulting Support
For technical questions, please contact us via the request form.
Headquarters 3F., No. 161, Sec. 5, Nanjing E. Rd., Songshan Dist., Taipei City 105409 , Taiwan (R.O.C.)
Contact Us :
service@webcomm.com.tw
News
About Us
Contact Us
service@webcomm.com.tw
偉康科技股份有限公司 版權所有 © 2023 WebComm Technology Co., Ltd. All Rights Reserved.隱私權政策