Explore the best alternatives to CData Driver Technologies for users who need new software features or want to try different solutions. Other important factors to consider when researching alternatives to CData Driver Technologies include reliability and ease of use. The best overall CData Driver Technologies alternative is Microsoft SQL Server. Other similar apps like CData Driver Technologies are MySQL, Google Cloud BigQuery, Amazon Relational Database Service (RDS), and Oracle Database. CData Driver Technologies alternatives can be found in Relational Databases but may also be in Data Warehouse Solutions or Database as a Service (DBaaS) Providers.
SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.
Syncari, a leader in data unification and automation, is modernizing enterprise master data management with its innovative Autonomous Data Management platform. Syncari is revolutionizing how enterprises handle data by ensuring comprehensive accuracy, centralized governance, and democratized access. This approach facilitates near real-time decision-making and AI integration, enhancing observability and operations across multiple domains. By accelerating the speed to business impact, Syncari enhances decision-making capabilities and empowers organizations to fully leverage their data for substantial value extraction. Capabilities: Unify, sync, automate, activate, model, catalog, transform, standardize, verify, remediate, project, log, observe, report, consume.
Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.
Amazon Relational Database Service (RDS) is a web service that makes it easy to set up, operate, and scale a relational DB in the cloud: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.
Helps customers lower IT costs and deliver a higher quality of service by enabling consolidation onto database clouds.
PostgreSQL is a powerful, open source object-relational database system.
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.
The only intelligent automation platform that enables both business users and IT to build, operate and rollout app and data integration, process and workflow automation, in a single platform - without compromising security and governance.
Syncari, a leader in data unification and automation, is modernizing enterprise master data management with its innovative Autonomous Data Management platform. Syncari is revolutionizing how enterprises handle data by ensuring comprehensive accuracy, centralized governance, and democratized access. This approach facilitates near real-time decision-making and AI integration, enhancing observability and operations across multiple domains. By accelerating the speed to business impact, Syncari enhances decision-making capabilities and empowers organizations to fully leverage their data for substantial value extraction. Capabilities: Unify, sync, automate, activate, model, catalog, transform, standardize, verify, remediate, project, log, observe, report, consume.