Best Real-Time Data Streaming Tools in India - Page 3

Baidu Stream Computing (BSC) offers an efficient platform for processing streaming data in real-time, characterized by minimal latency, robust throughput, and high precision. It seamlessly integrates with Spark SQL, allowing users to execute complex business logic via straightforward SQL queries, making it user-friendly. Additionally, BSC supports comprehensive life cycle management for streaming computing tasks, ensuring effective oversight. The platform is deeply integrated with various Baidu AI Cloud storage solutions, serving as both upstream and downstream components in stream processing, including Baidu Kafka, RDS, BOS, IOT Hub, Baidu ElasticSearch, TSDB, SCS, among others. Furthermore, BSC provides extensive job monitoring capabilities, enabling users to track performance metrics and establish alert rules to safeguard their operations, thereby enhancing overall efficiency and reliability in data handling.

Explore Azure Stream Analytics, a user-friendly service for real-time analytics tailored for essential workloads. With just a few clicks, you can create a comprehensive serverless streaming pipeline. Transition from concept to production in mere minutes using SQL, which can be seamlessly enhanced with custom code and integrated machine learning features for more complex needs. Confidently execute your heaviest workloads, backed by a robust financial SLA that ensures reliability and performance. This powerful tool is ideal for organizations seeking to harness the power of real-time data processing.

Cloudera DataFlow for the Public Cloud (CDF-PC) is a versatile, cloud-based data distribution solution that utilizes Apache NiFi, enabling developers to seamlessly connect to diverse data sources with varying structures, process that data, and deliver it to a wide array of destinations. This platform features a flow-oriented low-code development approach that closely matches the preferences of developers when creating, developing, and testing their data distribution pipelines. CDF-PC boasts an extensive library of over 400 connectors and processors that cater to a broad spectrum of hybrid cloud services, including data lakes, lakehouses, cloud warehouses, and on-premises sources, ensuring efficient and flexible data distribution. Furthermore, the data flows created can be version-controlled within a catalog, allowing operators to easily manage deployments across different runtimes, thereby enhancing operational efficiency and simplifying the deployment process. Ultimately, CDF-PC empowers organizations to harness their data effectively, promoting innovation and agility in data management.

Hitachi is a Japan company and produces a software product named Hitachi Streaming Data Platform. Hitachi Streaming Data Platform is a type of Real-Time data streaming software, and provides features like data enrichment, data wrangling / data prep, multiple data source support, process automation, real-time analysis / reporting, and visualization dashboards. Hitachi Streaming Data Platform includes training through documentation. Hitachi Streaming Data Platform includes phone support support. Some alternatives to Hitachi Streaming Data Platform are Materialize, Apache Flink, and SQLstream.