DataOps DataFlow vs. SQL Server vs. IBM StreamSets Comparison Chart

RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree.

Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.

With our comprehensive suite of scalable cloud services, you can build your cloud server, your way. Kamatera’s infrastructure specializes in VPS hosting, with a choice of 24 data centers worldwide, including 8 data centers across the US as well as locations in Europe, Asia, and the Middle East. Our enterprise-grade cloud servers can meet your needs at every stage. We use cutting-edge hardware, such as Ice Lake Processors and NVMe SSD, to deliver consistent speed and 99.95% uptime. With a robust service like ours, you can expect plenty of great features, such as fantastic hardware, flexible and scalable cloud setup, fully managed hosting, windows server hosting, data security and safety, consultation, server migration, and disaster recovery. Our technical staff is always on duty, with 24/7 live support to assist you across all time zones. And our flexible, predictable pricing plans means you’ll only pay for what you use with our hourly or monthly billing options.

The modern, flexible, easy-to-use LIMS. QBench enables our customers to get a LIMS up and running faster. Automate your entire lab with our developer-friendly API, Inventory Management, Customer Portal, Billing, and Quality Management System modules. QBench is a cloud-based Laboratory Information Management System (LIMS) that enables labs to streamline their entire testing workflow, from sample receiving to automated results reporting. QBench allows you to keep track of all your samples and where they are located in the workflow using a single system. QBench eliminates the need for spreadsheets, shared folders in the network, and paper-based tracking systems. View hundreds of PDF reports/COAs before publishing or emailing. Generate barcodes and create labels that you can customize for your samples. See counts and latencies for different data types in QBench. This includes metrics like turnaround time, sample counts per test, sample delay, and more!

dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow. Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence.

cside is the leading client-side intelligence platform. Protecting organizations from advanced client-side threats such as script injection, data skimming, and browser-based attacks, risks often overlooked by traditional security measures. Leveraging client-side intelligence to provide evidence to fight chargeback fraud cases. It also addresses the growing challenge of web supply chain risk, ensuring real-time visibility and control over third-party scripts running in user environments. cside provides proactive, proxy-based protection that helps organizations meet compliance requirements like PCI DSS 4.0.1, safeguard sensitive data, and uphold user privacy, all without compromising performance.

DataHub Cloud is an event-driven AI & Data Context Platform that uses active metadata for real-time visibility across your entire data ecosystem. Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built connectors. Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support.

Fully managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems. New customers get $300 in free credits to spend on Cloud SQL. You won’t be charged until you upgrade. Reduce maintenance costs with fully managed MySQL, PostgreSQL and SQL Server databases. Ensure business continuity with reliable and secure services backed by 24/7 SRE team. Data encryption at rest and in transit. Private connectivity with Virtual Private Cloud and user-controlled network access with firewall protection. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA. Scale your instances effortlessly with a single API call whether you start with simple testing or you need a highly available database in production. Simplify database operations with AI-powered assistance in Gemini, now in preview on Cloud SQL. It streamlines development, performance optimization, fleet management, governance, and migration.

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process.

Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems.