New features of DataSpider Servista V4 series

Introducing DataSpider Servista V4, evolving into an IoT collaboration platform

With the advent of the IoT era, the data handled by companies is becoming more diverse and voluminous. In order to collect and process the necessary data quickly, there is an ever-increasing need for "data integration tool" that can link with various systems and collect a wide range of data.

DataSpider Servista V4 will offer a variety of enhanced functions for the IoT era, including IoT integration, large-volume data processing, cloud integration, and enhanced functionality to support EUC, allowing on-site users to utilize IT themselves, providing the functionality required for a data integration platform of the next era.

Enhanced features of "DataSpider Servista V4"

Enhanced IoT connectivity functions

Enhanced functionality as data integration tool for the IoT era, including enhanced integration with Amazon DynamoDB and Amazon Kinesis

IoT development involves connecting various "things" in the world to the Internet. DataSpider Servista allows you to easily and quickly connect the "devices," "cloud," and "applications" that make up IoT.

Version 4.0 enhances integration with Amazon Web Services' NoSQL database DynamoDB and stream data processing service Kinesis, making it possible to make better use of AWS IoT. Additionally, we will continue to expand functionality required for IoT integration, such as strengthening integration with Microsoft Azure.

High-speed processing of large amounts of data

Improved data integration processing performance

DataSpider Servista functions as a data integration hub that can connect, consolidate, and extract vast amounts of data in different formats used in various systems both inside and outside a company.

With DataSpider Servista, the created integration processes are converted into Java, allowing for both highly productive development using a GUI and performance comparable to that of Java development. DataSpider Servista V4 also features the development of a dedicated engine, the "Multi-Stream Converter (MSC)," specialized for converting large amounts of data, which is 10 to 15 times faster than conventional merge processes.

Enhanced cloud connectivity

Enhanced functionality as data integration tool for the IoT era, including enhanced integration with Amazon DynamoDB and Amazon Kinesis

Integration with other systems is essential to fully utilize cloud services. DataSpider Servista 's cloud integration is useful for utilizing various data and applications from various locations in the cloud.

DataSpider Servista 's cloud integration function enables integration with on-premises systems, migration from on-premises to the cloud, and even "hybrid cloud" initiatives that combine multiple public clouds.

Supporting on-site users in utilizing data

Empower end users by making more effective use of familiar IT tools such as Excel.

The functionality to support end-user computing (EUC) has been further strengthened to enable on-site users to more effectively utilize familiar IT, enabling on-site users to utilize all data, both inside and outside the company, themselves.

"DataSpider Servista V4" further strengthens the integration function with Excel, which is familiar to many field users, as well as with kintone and Tableau. DataSpider Servista allows you to achieve full-scale integration between these services and various systems and data without writing any program code.

Enhancements from "DataSpider Servista 4.1"

The new version aims to improve development productivity in all phases of design, development, and testing, and has enhanced its capabilities as a data integration platform that can quickly achieve large-scale data integration.

The main enhancements include the ability to grasp the scale and amount of changes to existing deliverables, functions that make it easier to estimate scale from prototypes, functions that increase development productivity such as support for developing and debugging large-scale scripts and automatic generation of development documents, and testing functions that provide comprehensive support for developing high-quality scripts.

Development Support Framework

Provides dedicated functions to improve productivity in all development phases: design, development, and testing.

• Design Phase
  • Project/Script Statistics
    Added a function to output the number of icons in a script and mapper information. This allows you to understand the scale and complexity of a project script. This makes it easy to manage the number of icons in a script and use it as an indicator for estimating development time.
• Development Phase
  • Version Comparison Report
    Added a new HTML report output function that allows you to compare two versions of a script and see the differences. The report clearly shows the changes. This can be used as input for determining test scope or as evidence that testing is unnecessary.
  • Global User-Defined Logic
    A new feature has been added that allows you to combine frequently used mapper logic into one logic and reuse it across multiple projects. Mapper logic can be centrally managed on "DataSpider Server" and reused across projects. This can improve development productivity, especially in large-scale script development.
  • Log output function for Mapper processing data
    Added a function to output information about data processed within Mapper to a log. This makes it possible to create conversion and processing processes while checking the movement of actual data. This makes development more efficient.
• Testing Phase
  • We provide a "Testing Framework" that includes various functions to support the creation and execution of automated tests, as well as guidelines for using these functions effectively. We have implemented many automated testing support functions, such as the "Test Project" function, which allows you to create automated tests as "DataSpider Servista" scripts, the assertion function, and the function to execute tests in bulk and output test result reports. By using these functions in accordance with the guidelines, you can reap benefits in many areas, including speed, quality, and cost.

Other enhancements

• We support Microsoft Windows Server 2016, upgrade the adapter's connection destination, upgrade the Java execution engine included with the product, and also respond to numerous other bug fixes and enhancement requests.