Amazon Web Services (AWS) has unveiled a new service called Kinesis that is designed to help firms manage and process dynamic datasets.
The firm said that the capabilities of Kinesis would allow firms to create custom applications for real-time data streams such as social media feeds, financial transactions and website click streams.
Terry Hanold, vice president of New Business Initiatives at AWS, said such a service was necessary as other big data tools in the market are not set up for the specific needs of dynamic datasets.
“Database and MapReduce technologies are good at handling large volumes of data. But they are fundamentally batch-based, and struggle with enabling real-time decisions on a never-ending – and never fully complete – stream of data,” he said.
“Kinesis aims to fill this gap, removing many of the cost, effort and expertise barriers customers encounter with streaming data solutions, while providing the performance, durability and scale required for the largest, most advanced implementations.”
AWS added that Kinesis would also allow firms to specify the data they wanted for their applications before it is then stored in a dedicated storage service, so wider back-up and batch datasets tools would still work as required.
The tool was the first of two major announcements by AWS as it also announced its Amazon Relational Database Service (Amazon RDS) now supports open source database engine PostgreSQL
PostgreSQL is the fourth database to be supported AWS after MySQL, Oracle and Microsoft SQL Server and it will offer 30,000 input/output operations per second (IOPS) per database instance
Raju Gulabani, vice president of Database Services at AWS, said adding support for PostgreSQL was vital as the service grows in popularity.
“As mobile, web, social and geospatial applications proliferate, we have seen a steady demand for PostgreSQL as a managed service. We're pleased to bring the agility, manageability and cost benefits of the Amazon RDS platform to PostgreSQL," he said.
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