Best Data Management Software in China - Page 37

Experience a fully managed and hosted PostgreSQL solution that delivers exceptional performance along with all the necessary extensions readily available. You can establish your fully managed PostgreSQL instance in under ten minutes, using our web console or through various programming methods such as API, CLI, Terraform provider, or Kubernetes operator. Our standby nodes automatically serve as read replicas, and you have the flexibility to generate additional read replicas across different public clouds and geographic regions, enabling the creation of multi-cloud architectures. With Point-In-Time Recovery, you can restore your data to any moment within your chosen retention timeframe. This fully managed SQL relational database is deployable in the cloud environment of your preference, offering a reputation for reliability, a comprehensive feature set, and outstanding performance. It is suitable for a wide range of applications, including location-based services, critical business solutions, or serving as a general transactional database to meet diverse needs. As a result, it serves as an excellent choice for organizations looking to enhance their data management capabilities effectively.

SwiftCache is an all-in-one CDN platform that helps businesses enhance their website’s speed and performance. Offering features like automatic infrastructure deployment, proactive monitoring, and detailed reporting, SwiftCache ensures optimal performance across regions and devices. It also includes easy-to-manage SSL certificates, transparent billing, and flexible scalability to meet diverse business needs. With real-time insights into resource usage and application health, SwiftCache allows businesses to make informed adjustments and prevent downtime, all while keeping infrastructure costs under control.

Narrative BI serves as a comprehensive marketing analytics and reporting solution designed for teams focused on growth, marketing, sales, and product development across various organizations, including agencies. This platform effortlessly produces insights from multiple marketing channels, transforming them into detailed reports or narratives. By enabling users to pinpoint their most effective channels, it ensures they remain informed about any atypical data trends. Additionally, these insights can be conveniently distributed through email or Slack according to the user's preferred schedule. Currently, Narrative BI integrates with Google Analytics, Facebook Ads, and Google Ads to access essential marketing and advertising data while continuously evolving its capabilities to meet user needs.

Harnessing cutting-edge open-source AutoML technology, we facilitate the creation of high-quality models effortlessly. This system incorporates Deep Learning and pre-trained models to enhance intelligence wherever relevant. By employing Causal AI alongside AutoML, it ensures fairness, supports causal inference, and provides counterfactual predictions. Each trained model can be deployed instantly for interactive online use or through an API, making it accessible to all users. Additionally, it offers comprehensive insights into feature importances and model explanations through Shapley values. Our AI engine operates entirely on an open-source framework, allowing for complete transparency and universal applicability of our algorithms. It effectively groups customers or products into similar cohorts based on an extensive array of features. Furthermore, it predicts future outcomes by identifying temporal patterns in historical data and is capable of training predictive models using labeled data to make predictions on unlabeled datasets, thereby enhancing its overall utility and performance.

BigLake serves as a storage engine that merges the functionalities of data warehouses and lakes, allowing BigQuery and open-source frameworks like Spark to efficiently access data while enforcing detailed access controls. It enhances query performance across various multi-cloud storage systems and supports open formats, including Apache Iceberg. Users can maintain a single version of data, ensuring consistent features across both data warehouses and lakes. With its capacity for fine-grained access management and comprehensive governance over distributed data, BigLake seamlessly integrates with open-source analytics tools and embraces open data formats. This solution empowers users to conduct analytics on distributed data, regardless of its storage location or method, while selecting the most suitable analytics tools, whether they be open-source or cloud-native, all based on a singular data copy. Additionally, it offers fine-grained access control for open-source engines such as Apache Spark, Presto, and Trino, along with formats like Parquet. As a result, users can execute high-performing queries on data lakes driven by BigQuery. Furthermore, BigLake collaborates with Dataplex, facilitating scalable management and logical organization of data assets. This integration not only enhances operational efficiency but also simplifies the complexities of data governance in large-scale environments.

Overall Equipment Effectiveness (OEE) serves as a crucial metric for evaluating the efficiency of machinery and equipment in industrial settings. By incorporating OEE measurement into your manufacturing workflow, you can significantly boost machine performance, minimize downtime, and enhance production quality. This metric is invaluable for tracking improvements in manufacturing productivity over time. Effective management and monitoring of equipment are essential for success. OEEasy is a web-based application designed to automatically compute the OEE of your production lines based on indicators of quality, performance, and availability. With a simple and rapid setup process, this application is compatible with all manufacturing machines and is available at an affordable price. OEEasy operates on the 4i Platform and allows for expansion beyond production capabilities by integrating with additional apps like ELT and CEnergy. Furthermore, OEEasy converts your data into insightful charts and reports, enabling you to visualize your productivity trends and performance metrics effectively. By employing this tool, manufacturers can make informed decisions that drive operational excellence.

Lifesight is a unified marketing measurement platform that helps marketers move away from inaccurate attribution that leads to misallocated budgets & wasted ad spend. Lifesight leverages modern measurement techniques like marketing mix modeling, incrementality testing & causal attribution to help them make better decisions that result in sustainable & profitable growth. Our core features: Data centralization & operationalization: Eliminate data silos, data quality issues and inconsistencies so you get the right insights every time. Marketing effectiveness measurement: Measure the true causal impact of online and offline marketing on all sales so you can make the right decisions. Planning, forecasting & optimization: Achieve your marketing goals with predictability & confidence with AI-powered insights. Marketing intelligence & analytics: Navigate your way to profitable growth by blending marketing & finance to deliver continuous improvements. Lifesight offers full-funnel measurement for every industry: Ecommerce, Retail, Agencies, gaming, entertainment, B2B SaaS and Travel & lifestyle. Learn more at lifesight.io

A cloud-native distributed HTAP database designed for seamless scaling and immediate analytics as a fully managed service, featuring a serverless tier that allows for the rapid deployment of the HTAP database within seconds. Scale transparently and elastically to hundreds of nodes for essential workloads without needing to modify your business logic. Leverage your existing SQL knowledge while preserving your relational structure and global ACID transactions, effortlessly managing hybrid workloads. The system comes with a powerful built-in analytics engine that enables operational data analysis without the requirement for ETL processes. Expand to hundreds of nodes while ensuring ACID compliance, all without the hassle of sharding or downtime interruptions. Data accuracy is upheld even with simultaneous updates to the same data source, making it reliable for high-demand environments. TiDB’s MySQL compatibility enhances productivity and accelerates your applications' time-to-market, while also facilitating the easy migration of data from current MySQL environments without necessitating code rewrites. This innovative solution streamlines your database management, allowing teams to focus on development rather than infrastructure concerns.

Manage text data effortlessly with a no-code interface that comprehends natural language, leaving spreadsheets behind. Unlike traditional spreadsheets that lack an understanding of language nuances, SimpleX leverages your comprehension and its own advanced capabilities. Say goodbye to convoluted queries and technical jargon; here, artificial intelligence operates seamlessly behind an easy-to-navigate interface. Experience a tenfold increase in the speed of analyzing free text responses. Quickly import, tag, classify, and sort numerous quotes in mere seconds, as our AI takes care of the intricate work. Generate instant treemaps or word clouds that can be directly integrated into your presentations, alongside organized exports filled with valuable insights. With the ability to natively comprehend and process 50 languages, even in mixed formats, it can handle up to 10,000 text responses, including quotes, feedback, and reviews. Thanks to AI-driven analytical tools, it extracts insights at ten times the usual speed, accomplishing real-time tasks that once seemed exclusive to human effort. This sophisticated AI solution is not only powerful but also user-friendly, transforming how you interact with text data.

DataSearch is a SaaS price tracking software that allows you to quickly and efficiently compare prices and product lists from suppliers and competitors. Businesses can subscribe to the monthly newsletter to stay informed about price wars and other activity in various markets, including retail, wholesale distributors, gas prices, and so on. DataSearch prepares fresh data in a comparative/structured format with visualizations on its dashboard for clients to view and download. DataSearch features include: • Analysis and structuring of competitor's product prices and data • Tracking of international and local competitors • Frequent data updates • Side-by side automatic and manual product matching • Recommended product prices • Additional tabs to highlight new changes • Dashboard with visualizations and informative reports • A history of competitors' data starting the day you are onboarded • There are many export formats and methods available (Manual download, APIs, CSVs, JSON, JSON). XML) • Integration available upon request

Easily distribute data of any format and size from various sources to other organizations while maintaining full control over what you share, who receives it, and the associated terms of use. The Data Share platform offers complete transparency regarding your data-sharing connections through a user-friendly interface, allowing you to share information with just a few clicks or create a custom application via the REST API. This serverless, code-free data-sharing solution eliminates the need for infrastructure setup or management, providing an intuitive interface to oversee all your data-sharing interactions. With automated processes in place, you can achieve greater productivity and predictability in your operations. The service ensures data security by leveraging Azure's robust security measures, enabling the sharing of both structured and unstructured data from a variety of Azure data stores effortlessly. Furthermore, there’s no need for SAS keys, and sharing is entirely code-free, allowing you to dictate data access and define terms of use that comply with your enterprise policies seamlessly. With this tool, organizations can foster collaboration while safeguarding their data integrity and compliance.

Einblick offers a swift and highly collaborative platform for data exploration, prediction generation, and application deployment. Our innovative canvases transform the data science process by simplifying the exploration, cleaning, and manipulation of data through a user-friendly interface. Unlike other platforms, we enable real-time collaboration among your entire team, emphasizing that collective decision-making is essential. Stop spending time on manual model adjustments; our AutoML feature is designed to facilitate the creation of transparent predictions and pinpoint crucial influencing factors effortlessly. Einblick also streamlines common analytics tasks into user-friendly operators, allowing you to minimize repetitive work and reach conclusions more quickly. Whether your data resides in Snowflake, S3 buckets, or CSV files, you can connect your data source and start drawing insights in no time. For instance, by analyzing a list of churned and active customers, you can integrate all relevant information about them, revealing the primary reasons for churn and assessing the risk level for each customer effectively. Moreover, our platform empowers teams to make data-driven decisions with confidence, ensuring that insights are accessible and actionable for everyone involved.

A streaming database is specifically designed to efficiently ingest, store, process, and analyze large volumes of data streams. This advanced data infrastructure integrates messaging, stream processing, and storage to enable real-time value extraction from your data. It continuously handles vast amounts of data generated by diverse sources, including sensors from IoT devices. Data streams are securely stored in a dedicated distributed streaming data storage cluster that can manage millions of streams. By subscribing to topics in HStreamDB, users can access and consume data streams in real-time at speeds comparable to Kafka. The system also allows for permanent storage of data streams, enabling users to replay and analyze them whenever needed. With a familiar SQL syntax, you can process these data streams based on event-time, similar to querying data in a traditional relational database. This functionality enables users to filter, transform, aggregate, and even join multiple streams seamlessly, enhancing the overall data analysis experience. Ultimately, the integration of these features ensures that organizations can leverage their data effectively and make timely decisions.

Harness the synergy of automation paired with a personal touch to achieve comprehensive oversight of your data and gain insight into your operations. With Coupler.io, you can seamlessly access, comprehend, and act upon your data through a robust suite of tools and specialized services. Our offerings range from tailored integrations and insightful dashboards to streamlined workflows that enhance and automate everyday tasks, ensuring our data experts tailor solutions specifically for your business's growth. Coupler.io is meticulously crafted to meet all your data-related requirements, offering everything from dependable data automation solutions to exceptional data analytics services. With nearly 15 years of expertise in SaaS, workflow automation, and data analytics, Coupler.io stands as a trusted ally for your organization's success and progress. In an increasingly data-driven world, having the right partner can make all the difference in achieving your business objectives.

Apache TinkerPop™ serves as a framework for graph computing, catering to both online transaction processing (OLTP) with graph databases and online analytical processing (OLAP) through graph analytic systems. The traversal language utilized within Apache TinkerPop is known as Gremlin, which is a functional, data-flow language designed to allow users to effectively articulate intricate traversals or queries related to their application's property graph. Each traversal in Gremlin consists of a series of steps that can be nested. In graph theory, a graph is defined as a collection of vertices and edges. Both these components can possess multiple key/value pairs referred to as properties. Vertices represent distinct entities, which may include individuals, locations, or events, while edges signify the connections among these vertices. For example, one individual might have connections to another, have participated in a certain event, or have been at a specific location recently. This framework is particularly useful when a user's domain encompasses a diverse array of objects that can be interconnected in various ways. Moreover, the versatility of Gremlin enhances the ability to navigate complex relationships within the graph structure seamlessly.

Effortlessly handle intricate models with ArcadeDB while ensuring no compromises are made. Say goodbye to the concept of Polyglot Persistence; there's no need to juggle multiple databases. With ArcadeDB's Multi-Model database, you can seamlessly store graphs, documents, key values, and time series data in one unified solution. As each model is inherently compatible with the database engine, you can avoid the delays caused by translation processes. Powered by advanced Alien Technology, ArcadeDB's engine can process millions of records every second. Notably, the speed of data traversal remains constant regardless of the database's size, whether it houses a handful of records or billions. ArcadeDB is versatile enough to function as an embedded database on a single server and can easily scale across multiple servers using Kubernetes. Its compact design allows it to operate on any platform while maintaining a minimal footprint. Your data's security is paramount; our robust, fully transactional engine guarantees durability for mission-critical production databases. Additionally, ArcadeDB employs a Raft Consensus Algorithm to ensure consistency and reliability across multiple servers, making it a top choice for data management. In an era where efficiency and reliability are crucial, ArcadeDB stands out as a comprehensive solution for diverse data storage needs.

The structural framework for integrating various systems is essential for organizations aiming for digital transformation. By implementing automated, adaptable, and results-driven processes, businesses can enhance scalability and ensure high-quality operations. A robust content management system, paired with efficient processes, enables the generation and upkeep of vast quantities of structured, current, and trustworthy data. Utilizing a 360-degree CRM approach facilitates improved management of customer and partner relationships, leading to increased sales and higher retention rates. Real-time data analytics, presented through visual charts or detailed extractions, simplifies management oversight, uncovers valuable insights, and aids in informed decision-making. It is crucial to align all departments, including procurement, marketing, IT, logistics, and legal, with integrated processes that support a cohesive strategy. Streamlining administrative operations, from purchasing to reimbursements, can significantly enhance team performance and productivity. Additionally, automating human resources functions allows for comprehensive management of employee processes, covering everything from onboarding to termination, thereby fostering a more efficient organizational environment. Ultimately, prioritizing these integrated systems can pave the way for sustained growth and operational excellence.

Galaxy Modeler is a user-friendly and modern schema-design desktop application for GraphQL data modeling. Create GraphQL diagrams, visualize existing schema structures and generate documentation or schema definition scripts. Supported platforms include GraphQL. Key features - Schema design for GraphQL - Import and visualization of existing schemas - Import of structures from online sources - Generating interactive documentation - Generating schema creation scripts - Reports with various styles - Display modes - Support for sub-diagrams

Luna Modeler is an easy-to-use data modeling tool for your favorite databases. Design and visualize database structures, generate SQL scripts, and create interactive documentation. Perfect for both pros and beginners, Luna Modeler makes data modeling simple! Supported platforms: - Oracle Database - SQL Server - PostgreSQL - MySQL - MariaDB - SQLite Key features: - Database modeling and design - Reverse engineering from Oracle, SQL Server, PostgreSQL, MySQL, MariaDB - Import from SQLite files - Support for SSH/SSL/TLS connections - Generation of interactive HTML reports - Generation of SQL scripts - Project update - Various themes and styles for reports - Multiple display modes - Support for sub-diagrams - Generation of alter scripts for selected database platforms

A web-based tool for database modeling that facilitates the creation of entity relationship diagrams, relational schemas, star schemas, and SQL DDL statements is ERDPlus. This intuitive platform enables users to generate Entity Relationship Diagrams (ERDs) swiftly and effortlessly. It is compatible with various modern relational database management systems such as Oracle, MySQL, Microsoft SQL Server, PostgreSQL, Teradata, IBM DB2, Microsoft Access, and many others. The tool's notation allows for the representation of regular and weak entities, accommodating different attribute types, including unique, multi-valued, derived, composite, and optional attributes, as well as all cardinality constraints for relationships, which include mandatory and optional associations. Furthermore, ERDPlus streamlines the creation of foreign keys and referential integrity lines through user-friendly click-and-connect actions, making it easier to develop relational schemas. Additionally, the notation enhances clarity by differentiating fact tables from dimension tables, employing a thicker frame around fact tables, which aids users in visualizing their database structures effectively. Overall, ERDPlus stands out as a valuable asset for database designers seeking efficiency and precision.

dbdiagram.io is an easy-to-use and free platform that allows users to create database diagrams, or ERDs, by simply entering DSL code. Utilizing the widely recognized DBML format, users can effortlessly generate an ER diagram that appears in real time, keeping their hands on the keyboard without interruption. You can produce stunning PDFs of your ER diagrams for internal distribution, proving that creating ERDs doesn't have to be a complicated task. Furthermore, sharing your diagrams with colleagues and clients is just a click away, and if you work with popular web frameworks such as Rails or Django, you can conveniently upload your schemarb or models.py files to streamline the process even further. This makes dbdiagram.io an invaluable tool for anyone looking to simplify their database design experience.

DrawSQL allows users to design, visualize, and collaborate on entity relationship diagrams for databases seamlessly. It provides a straightforward way to see your database schema and understand how all components interact. Maintaining an up-to-date document of your application schema is beneficial for architecting new features and aiding in the onboarding process for new team members. You can invite your colleagues to join in the collaboration on your database diagrams, ensuring that everyone is on the same page. With drawSQL serving as a centralized source of truth, there's no longer a need to manually synchronize diagram files across various developers and offline tools. Create impressive and professional diagrams that truly make an impact. Unlike other database clients, drawSQL's intuitive editor is user-friendly, visually appealing, and emphasizes the visualization of database schemas without cluttering the interface with unnecessary database management features. You can generate a diagram for your application's database in under 15 minutes. Team up to design, model, and document the database schema of your application effectively. Additionally, drawSQL offers features like diagram versioning and access controls for enhanced security and collaboration. This makes it an excellent choice for teams looking to streamline their workflow.

DataFisher, a third-party data extraction tool, extracts data from multiple sources and creates one source of large data pools for actionable market insights. It also supports effective decision-making and decision-making. Deep Dive into Data for Actionable Insights. Evolving data infrastructures need an accurate aggregator to extract the required data for actionable insights. Integrate with multiple ERPs from partner ecosystems such as Tally, SAPB One, etc. with real-time analytics to improve data-based business decisions.

Quickly write SQL queries, generate and format them, while also benefiting from autocomplete features. Visualize data effortlessly and create stunning charts with just two clicks, allowing you to combine various charts into a single dashboard. Control access and share your work seamlessly, inviting your team to engage with links to both charts and queries. With your queries and dashboards readily accessible, utilize cmd + k to swiftly locate any item in your workspace. Edit tables like you would in a spreadsheet, making it easy to modify any cell, delete rows, and view JSON data. If you’re utilizing a PostgreSQL database in your project, it’s essential to know how to add or modify data, which is best accomplished through an SQL client. In this guide, we’ll detail the steps to connect to your Postgres database using an SQL client. Additionally, set up the smallest available EC2 instance and remember to note the Virtual Private Cloud (VPC) network associated with it. Arctype stands out as a fast and visually appealing database GUI tailored for developers and teams, featuring SQL autocomplete, spreadsheet-style editing, one-click visualizations, and tools for effective collaboration, making your database interactions more efficient and enjoyable. Furthermore, the intuitive interface of Arctype enhances productivity by streamlining the process of managing and analyzing data.

Postbird serves as a versatile PostgreSQL GUI client that is compatible across various platforms and is developed using JavaScript with the Electron framework. It offers support for essential features such as views, materialized views, foreign tables, constraints, and schemas, and has the capability to connect seamlessly to Heroku's Postgres. Users can efficiently manage extensions, procedures, and user accounts, as well as filter tables, modify values, and handle the importing and exporting of tables or entire databases. The application enhances the query editing experience with the ability to save recent queries, utilize syntax highlighting, access keyboard shortcuts, conduct searches, use snippets, maintain query history, and view large result sets effectively. Additionally, it provides options for formatted explanations of queries and allows users to save their results in CSV format, making it a comprehensive tool for database management tasks. Ultimately, Postbird empowers users with a rich set of functionalities designed to streamline their PostgreSQL interactions.