Automating and accelerating data pipelines for data lakes and the cloud

Attunity is changing data integration with the latest release of the Attunity platform to deliver data, ready for analytics, to diverse platforms on-premises and in the Cloud. These new products were announced on September 26th and are expected to be Generally Available on October 31st. Below are some highlights of what’s coming.


Attunity’s flagship offering for universal data replication now provides comprehensive support for new streaming data services and expanded cloud targets


Automatically generates analytics-ready data structures with new support for creating an updating Apache Hive in Hadoop data lakes


Intelligent management and control of hybrid cloud and on-premise deployments at any scale with new support for analytics and microservices

Unlike the traditional batch-oriented and inflexible ETL approaches of the last decade, Attunity provides the modern, real-time architecture you need to harness the agility and efficiencies of new data lakes and cloud offerings.


Universal Stream Generation
Databases can now publish events to all major streaming services, including Kafka, Confluent, Amazon Kinesis, Microsoft Azure Event Hub, MapR Streams.

Optimized Data Streaming
Flexible message formats including JSON and AVRO along with the separation of data and metadata into separate topics allows for smaller data messages and easier integration of metadata into various schema registries.


AWS S3 and Kinesis
Data can now land in S3 either in bulk load, change data capture, or published to Amazon Kinesis

Snowflake Data Loading
The entire catalog of Attunity supported data sources can now feed a Snowflake data warehouse in bulk load or via change data capture

Preferred data movement solution for Amazon Web Services and Microsoft Azure
Deep partnerships and broad product integration with industry leaders

Data Lakes

Automate the Creation of Analytics-Ready Data Lakes
Data lands in optimized time based partitions and Attunity automatically creates the schema and structures in the Hive Catalog for Operational Data Stores (ODS) and Historical Data Stores (HDS) – with no manual coding. Supported distributions include Hortonworks, AWS Elastic MapReduce, and Cloudera.

Ensure Data Consistency
Attunity automatically reconciles continuous data inserts, updates and deletions, while providing ACID compliance, without manual coding or disruption. Attunity also recognizes and responds to source data structure changes (DDL) and automatically applies changes to your data lake.

Enterprise Management & Control

Enterprise-wide Control and Management
Scalability to thousands of tasks; resiliency and recovery to maintain data integration processes across multiple data centers and hybrid cloud environments

Performance and Data Flow Analytics
Comprehensive historical and real-time reporting for improved capacity planning and performance monitoring of all data flows

Operational Metadata Creation and Discovery
Central repository shared across the Attunity platform and with third party tools for enterprise-wide reporting

Microservices API
New REST and .NET APIs designed for invoking and managing
Attunity services using a standard web-based UI


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