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Attunity Ltd  (ATTU)
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    Sector  Technology    Industry Software & Programming
   Industry Software & Programming
   Sector  Technology
 


Attunity Ltd Segments

 
 

Business Segments IV. Quarter
Revenues
(in millions $)
(Dec 31 2018)
%
(of total Revenues)
IV. Quarter
Income
(in millions $)
(Dec 31 2018)
%
(Profit Margin)
Total
86.25 100 % 5.96 6.91 %

• View Income Statement • View Competition by Segment • View Annual Report

Growth rates by Segment IV. Quarter
Y/Y Revenue
%
(Dec 31 2018)
Q/Q Revenue
%
IV. Quarter
Y/Y Income
%
(Dec 31 2018)
Q/Q Income
%
Total
232.08 % 126.69 % -7.63 % 1192.19 %

• View Growth rates • View Competitors Segment Growth • View Market Share

To get more information on Attunity Ltd's Total segment. Select each division with the arrow.

  Attunity Ltd's

Business Segments Description



We are a leading provider of data integration and Big Data management software solutions that enable availability, delivery and management of data across heterogeneous enterprise platforms, organizations, and the cloud.

We offer software solutions for the Big Data, data warehousing, database, SAP and cloud markets. These solutions include data replication and ingestion (Attunity Replicate, change data capture (CDC) and Attunity Gold Client Solutions), test data management (Attunity Gold Client Solutions), data connectivity (Attunity Connect), enterprise file replication (Attunity RepliWeb), data warehouse automation (Attunity Compose), data usage analytics (Attunity Visibility) and cloud data delivery (Attunity CloudBeam).

Our software solutions benefit our customers’ businesses by enabling real-time access and availability of data and files where and when needed, across the maze of heterogeneous systems making up today’s information technology (IT) environment. Our software is commonly used for projects such as data warehousing, Hadoop, BI and Big Data analytics, reporting, migration and modernization, data consolidation and distribution and cloud initiatives.

Our products form a comprehensive suite of software infrastructure that is designed to reduce the complexity of moving and managing data to, from, and between today’s information systems and enable the use of enterprise information where and when needed. Our software includes products for real-time data integration (including data and file replication); data warehouse automation, data usage analytics and test data management. In addition, we offer a software as a service, or SaaS, based platform with a portfolio of services to enable cloud data loading and replication.

We believe that the world of IT data infrastructure is undergoing a significant change, one that attempts to enable very large information assets to be stored, analyzed and made accessible in a timely manner, reaching more users through more applications and devices. This new paradigm in information access requires support for agile data integration, efficient and real-time capture of data as it changes, and the ability to manage very large quantities of datasets, to which we refer as Big Data. Consequently, our main focus and strategy is to strengthen our position as a leading provider of Big Data management software solutions, including real-time data integration, replication and distribution, data warehouse automation, data usage analytics, and test data management. According to Forrester Research, Inc., the global Big Data integrated solutions market generated approximately $1 billion of revenue in 2016 and is projected to grow at a compound annual growth rate of approximately 18% between 2015 and 2019.

In 2009, we expanded our product offering to target the data replication market, an important segment of the data integration market that enables the real-time availability and consistency of data across heterogeneous databases. Specifically, at the time, we focused on what we called operational data replication software solutions, which are designed to make information available to support operational business intelligence. We have since expanded on our technology to support a variety of mission-critical data initiatives, such as cloud data migration.

Based on, among other things, market studies and inputs from our customers, partners and prospects, we believe that the need for heterogeneous data integration and replication will continue to increase with the wider adoption of Big Data, cloud computing and Hadoop. In this respect, we focus, through our internal research and development activities as well as acquisitions, on high-speed bulk data transfer and CDC capabilities to support all of these environments.

We believe that our suite of software solutions and services responds to the market need we identified by providing the following key benefits:

our solutions allow organizations to deliver data efficiently, in real-time, and at scale to support a variety of modern analytic solutions, including Big Data analytics, artificial intelligence (AI), machine learning and the Industrial Internet of Things (IoT);


our solutions simplify the growing, complex maze of different database and data warehouse systems, platforms, versions and hardware, on-premises and in the cloud, reducing the costs of interconnectivity and opening up the opportunity for new and more valuable cross-system applications;

our solutions empower organizations to migrate a broad range of data sources, across diverse and hybrid environments, including enterprise data centers and the cloud, and throughout commercially-relevant business applications and computing environments;

our solutions enable real-time availability as well as faster preparation and modeling of data required to support business intelligence and analytics, a requirement that is now an enabler for improved efficiencies and competitive advantage; and

our solutions enable customers to understand how they use and process data across data warehouses and Hadoop, which allows them to optimize the cost and performance of their evolving Big Data environments.

Attunity Compose

Attunity Compose is a data warehouse automation software that we believe accelerates and simplifies the process of making data ready for analytics by designing, generating and populating enterprise data warehouses and data marts. By supporting the entire lifecycle of data warehousing through agile automation, Attunity Compose helps to eliminate the traditionally complex, manual tasks of preparing data for BI and Big Data analytics and their inherent dependency on substantial ETL development resources. The key features of Attunity Compose are:

Model-driven solution for managing the process of building a data warehouse;

Automated generation of data warehouse and data marts structures;

Automated generation of ETL processing, optimized for each supported data warehouse;

Automated maintenance and change management; and

Support for various data warehouses including Teradata, Oracle/Exadata, IBM Netezza, SQL Server, as well as cloud data warehouses such as Amazon Redshift.

In June 2017, we released Attunity Compose for Hive, which is designed to automate the data pipeline to create analytics-ready data inside Hadoop data lakes. By automating data ingestion, schema creation in Apache Hive, and delivering continuous updates, organizations can realize faster value from their data lakes.

Attunity CloudBeam

Attunity CloudBeam is our fully-managed data transfer SaaS-based platform that is designed to move data to, from, and between on-premises and cloud environments quickly, reliably and affordably. We believe that Attunity CloudBeam helps users to realize the value of cloud computing by alleviating the challenges of uploading and managing the transmission of Big Data, also known as the “Big Data bottleneck,” as well as address other infrastructure maintenance challenges. Supporting AWS cloud storage services, Attunity CloudBeam facilitates solutions such as loading data for analytics in the cloud, disaster recovery, content distribution, and cloud migrations. The key features of Attunity CloudBeam are:


Automation – provides robust scheduling of data transfer processes, including continuous synchronization. The command line interface also enables application level automation;

Acceleration – high-performance movement of very large files and large numbers of files to, from, and between on-premises and cloud environments;

Manageability – enables user to manage cloud data movement without the overhead of building and maintaining cloud infrastructure;

Reliability – provides comprehensive audited and recoverable file transfers;

Security – encrypts all transfers to ensure data is not tampered with or viewed inappropriately; and

Affordability – subscription-based services enable customers to pay based on usage.

   

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