Double-Take Share

Easy, Real-Time Data Sharing

What's New in Double-Take Share 5.2?Increase business agility through real-time data sharing
Double-Take Share makes it easy to capture, transform, enhance and replicate data across multiple databases, operating systems and physical, virtual or cloud platforms. With automated, real-time data sharing you can improve business efficiency and decision making by keeping your databases in sync and enabling access to information when, where and how it is needed for queries, reports, business intelligence, data warehousing and more. Modernising legacy systems and consolidating your database infrastructure is also made easy with Double-Take Share’s powerful, flexible transformation and replication capabilities. An easy, graphical interface means that you can start to reduce administration time, replace manual processes, and automate data sharing right away.
Smarter data sharing is smarter business.

  • Eliminates complexity and complications of sharing data across multiple databases, incompatible applications and disparate platforms.
  • Allows organisations to achieve greater productivity, higher profitability and immediate ROI
  • Enables you to get business value from growing volumes of big data
  • Reliable change data capture ensures data integrity
  • Transforms and enhances data during replication between different databases
  • Supports all leading database and operating system platforms
  • Built-in conflict resolution and collision monitoring
  • Enables transaction auditing for compliance
  • Flexible data sharing topologies
  • LAN/WAN friendly
  • Easy to use graphical interface
  • Simple, table-based configuration
  • Over 60 pre-built, click-and-go data transforma
  • Maps data between different tables, rows and columns
  • Filters data at table or row level
  • No programming required
  • Eliminates manual, risky ETL processes

Integrates applications and keeps data in sync

In order to stay competitive, businesses need to accelerate information sharing and keep operations in sync between multiple running applications. Double-Take Share captures, transforms and replicates data between databases, allowing users to see each other’s data in real time.

Replicating data between applications running at geographically dispersed sites also allows data to be placed close to its users. This avoids the performance impact of accessing data from production servers across the network, and reduces transmission costs and times for frequently accessed data.

On-demand centralised reporting and Business Intelligence

Decision makers need real time information in order to provide strategic business guidance. When you make decisions based on up-to-the-minute information, your business is able to be more responsive and competitive. Double-Take Share gives you a competitive advantage by allowing you to run reports on-demand using real time data. It can even capture and transform data from divergent sources and replicate it to a reporting or BI server, allowing you to perform queries, reporting and BI from a centralised repository.

Click here to see how Double-Take Share enables on-demand centralised reporting and Business Intelligence

Enabling Business Intelligence Reporting with Windows Azure

Double-Take Share’s cross-platform data sharing allows organisations with legacy applications and data to replicate and transform the content to alternate platforms, such as Windows Azure. How does Double-Take Share enable BI reporting from Windows Azure? As end users enter data into their on-premise application, Double-Take Share captures, transforms and replicates the changes to the target database in real-time. In the example below, the changed data is merged into a single, consolidated MS SQL Reporting database located in the Windows Azure cloud where Windows Azure-based Business Intelligence applications and reporting tools can access the consolidated data. With Double-Take Share decisions can be made based on current data just as quickly as it becomes available from any source.

Feeding real-time data to mission critical applications

Double-Take Share can also be used to feed data to mission critical applications – such as eCommerce, web portals or other distributed applications. For example, data could be fed from a centralised ERP database to a distributed eBusiness system, of similar or dissimilar database, OS or hardware type.

Offloading production data for queries, maintenance, backup and more

Production servers need protection to ensure that they are always available and responsive to end user applications. One way to protect production servers is to offload production data to a secondary server (of similar or dissimilar OS or hardware type) so that work can be performed on the data without impact to the production system. One common scenario for offloading data is to send it to a data warehouse or data mart. Replicated data can also populate backup, test and audit environments.

Modernising legacy databases

Double-Take Share’s cross-platform data sharing allows organisations with legacy applications and data to replicate and transform their data to more modern platforms. Data can be replicated to a new platform for the purpose of reporting with the latest tools, shared transparently with new applications, or permanently migrated to new databases and platforms.

Custom database migrations

Double-Take Share provides movement and transformation across database platforms that make your migrations simple. It also minimises downtime and impact on productivity by replicating and transforming data while users remain online and active. Double-Take Share’s hardware independence supports migrations from legacy systems to physical or virtual servers. For example, legacy DB2 data could be migrated to a SQL Server database for BI access. Migrations can also be performed to reduce the number of databases or database platforms that an IT organisation must support.

Double-Take Share captures, transforms, enhances and replicates data across multiple databases, operating systems and physical, virtual or cloud platforms. Its flexible architecture allows for one-way, two-way, consolidated, distributed, bi-directional and cascaded data sharing configurations.

Double-Take Share supports the following databases:

  • Microsoft SQL Server
  • IBM DB2 for LUW
  • IBM DB2 for i
  • IBM Informix
  • Oracle
  • Sybase
  • Teradata (target only)

Double-Take Share supports the following operating systems:

  • Microsoft Windows, including Windows Azure
  • IBM i
  • HP-UX
  • Solaris
  • Linux SUSE Enterprise
  • Linux Red Hat Enterprise
Double-Take Share

Double-Take Share recognises data changes as they happen at a source database, and replicates those changes to a target database (or multiple target databases) in real-time. Double-Take Share transforms the data as needed between the source and target databases. For example, when moving data between IBM Power and open systems databases, the required EBCDIC to ASCII conversation is performed while the data is in flight. If you need the data in different formats in the source and target databases, such as converting dates between mm-dd-yy and yyyy/mm/dd format, you can use one of the more than 60 pre-built, click-and-go data transformations that come with Double-Take Share, or you can define your own data transformations to meet your organisation’s unique needs. The target database can have a different data schema, use different data types, employ a different database management system and run on different hardware than the source database.

Double-Take Share supports a variety of data sharing topologies including one-to-one, one-to-many, many-to-one and cascading replication. All of these topologies support both unidirectional and bidirectional data sharing. In the case of true bidirectional replication, Double-Take Share detects and resolves any conflicts that arise when the same set of data in the two databases is changed simultaneously.

Double-Take Share is easy to configure and uses a centralised, intuitive GUI management console for monitoring and controlling day-to-day data sharing processes. A sophisticated user interface allows you to just point and click to map data sources to data targets.