Attunity, a provider of data integration and big data management software solutions, has rolled out a major new release of its data integration platform designed to address the rapidly-evolving needs of modern analytics and data management initiatives. The new version was unveiled and demonstrated at Strata Data Conference in New York.
The new release includes Attunity Replicate 6.0 along with new versions of Attunity Compose for Hive and Attunity Enterprise Manager (AEM), offering expanded capabilities that enable large-scale and accelerated data pipeline automation across cloud, data lakes, and streaming enterprise architectures.
According to Attunity, as enterprises transform their data management and integration infrastructure to support modern analytics, their needs are quickly evolving. They require real-time availability of data across clouds, data lakes and streaming data systems, with the flexibility to change architectures and support a variety of emerging platforms. To do so, they need to deliver data efficiently while reducing the manual effort traditionally required for data ingestion and readiness for analytics.
With the rapid adoption of new cloud and data lake technologies driven, the data integration landscape has changed dramatically over the last few years, explained Itamar Ankorion, chief marketing officer at Attunity. The new release of the expanded platform builds on the modern architecture and approach Attunity introduced with Attunity Replicate, providing a broad set of capabilities to accommodate the strategic needs of enterprises looking for the flexibility and scale required to deal with this major market shift.
The new Attunity v6 data integration platform seeks to address these requirements with the addition of expanded cloud data integration for migration and analytics including Amazon S3, Amazon Kinesis, Microsoft Azure Event Hubs, and Snowflake cloud data warehouse; performance optimizations for Hadoop data ingestion, on-premises and in the cloud; and accelerated delivery of data pipelines to enable analytics-ready Hadoop data lakes with automated generation of metadata, schemas and transformations for Hive-based operational and historical data stores
Attunity v6 also provides universal database stream generation, delivering a stream of changes from all major enterprise databases into leading streaming platforms, including Apache Kafka, Confluent, Amazon Kinesis, Microsoft Azure Event Hub, and MapR Streams; and streaming metadata integration to enable schema evolution with JSON and AVRO formatted messages.
It also provides secure management of large scale data pipelines with global role-based access control and auditing, and operational metadata creation and management with new central repository shared across the Attunity platform and with third-party tools for easy access and cross-collaboration.
With this release, a microservices API also provides expanded REST and .NET APIs designed for invoking and managing Attunity platform services, while AEM Analytics now provide ad hoc and trend analysis on system resource utilization as well as performance monitoring of Attunity data flows to optimize large-scale data lake environments.
For more information, go to www.attunity.com/V6.