Cloud Integration Platform

Gen3 data pipelines for 200+ cloud & on-prem applications.

Application Connect

Simplified ETL and ELT

Big Data Ingestion

Social Media Connect

File Based Connect

IoT Connect

Gen3 Cloud Data Integration Platform

Are you planning or in the middle of Complex Data Integration projects? You are in the right place! dataZap has set the Gold Standard for Cloud Data Integrations.
dataZap helps you integrate and transform data from any source, no coding required. Integrate your source and target systems easily, securely connect to your cloud, on-premises, or proprietary systems with over 9000 pre-built Adaptors (API Gateways), and write back data to your source systems.
  • End-to-end, cloud-based data integration platform
  • Real-time availability of data across applications
  • High volume integrations upto 1 million records an hour
  • Keep data clean by validating & cleansing during integration
  • Analytics engine available for visualization & prediction
  • Catalog your data across applications for better access & usage
  • Supports 200+ endpoints including Oracle, SAP, Microsoft, Salesforce & others
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Featured Clients

dataZap accelerated our integrations from ERP, Sales CRM and Service Contract systems into Supply chain planning and demand planning systems. 100+ complex integrations configured in 12 weeks, we have been using the integrations with close to zero defects for over 10 years.

Supply Chain Planning Leader, World Leader in Optical Products.

We create an Enterprise Data Management solution as part of the global digital transformation journey using dataZap. dataZap helped us with the acceleration and out of the box solution we needed for building the EDM for over Forty Applications including Oracle EBS, Oracle Cloud, SAP ECC, SAP R/3, MS Dynamics, Oracle CRM On Demand, Multiple Mainframe Applications and other Applications.

Chief Data officer, Data Center Equipment Manufacturer.

We integrated Procore Project Management Cloud Application with Oracle E-Business suite using dataZap for our complex needs. We saved over 80% of our time and efforts in this project with the use of ChainSys predefined adapters for Procore to EBS mappings. I strongly recommend ChainSys for Procore to any financials/ERP system integrations.

Sr Enterprise Architect, ENR 100 Engineering and Construction firm in Minneapolis.

ChainSys Integration and Ingestion Platform Architecture

Valid Use Cases

  • Cloud Application to On-Premise Application Integrations or vice versa. Cloud to Cloud as well.
  • Enterprise Data Management Projects. Big Data Ingestion and Ready to use EDM Data Models.
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Benefits

  • Generation3 No Code Cloud Integration Platform.
  • Over 9000 ready to use Smart data adapters for data extraction, data loading and mapping between applications. Supports over 200+ enterprise applications.
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Differentiators

  • Flexible support with free product enhancements as needed for the project.
  • Rapid Development Framework. We completed over 100 integrations at Canon in less than 12 weeks.
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Case Studies

dataZap Data Integration

Demonstration

Cloud Integration Platform

Process Flows

Process Flow is a workflow engine that helps to orchestrate complex integrations. It is a sequence of tasks that processes a set of data. It also can have a series of human Activities. When a Process Flow executes, it runs all of its Activities and Constructs as per the defined order. A set of Activities and Constructs build the Process Flow.

Data Flows

Dataflow defines the flow of data from source to target systems. Data Object / Data Extract is used to extract data from source systems, and Loader is used to load the extracted data into target systems. Dataflow connects / maps Data Object / Extract with Loader. It defines which column’s value from the source system to be passed to which column in the target system.

Extraction Workflow

A Data Object extracts the data from various source systems through its Connections. A Data Extract enables you to join multiple Data Objects, add filters, and select the required columns from each Data Object. While executing, it extracts data from its Data Objects based on a defined filter.

Loading Workflow

Loader loads data into any target systems (Ex: Relational Database, Cloud Applications, FTP, REST or SOAP services, Big Data, etc.). It can be mapped in a Dataflow to receive data from a Data Object / Data Extract from any source system and then load it into a target system. It supports operations like insert, update, merge / upsert in the target system based on the operation defined in the loader or the API defined in it.

Scheduler

The scheduler is used to schedule a job to run it at a particular date and time, either once or repeatedly. It is helpful for batch integrations. The scheduler runs the job without any manual intervention. It helps to monitor the scheduled job executions and skip the next schedule based on the priority.

Integration Monitor

Integration Monitor provides the overall Execution summary of all Dataflows executed in the last 24 hours. It shows a summary of the last 24 hours. However, filters can be added to select other options like “Last 7 days” or a date range. The graphical as well as detailed table views are shown for all the Dataflows and its corresponding Data Objects and Loaders that get executed.
Instead of seeing the execution one by one, a collective representation can be seen here. This helps us to analyze the executions and the corresponding data.

Version Control

Versioning (check-in) is the process of assigning a unique version number to a unique state of an object and storing the object in a version control system. When you version an object, the versioning process converts the current state of the object into a file, and stores the file in a version control system. The version control system records the historical changes of the file so that you can retrieve a specific version later.
Chainsys Platform supports the following types of version control systems:
1. SVN (Apache Subversion)
2. Relational Database (only Oracle or PostgreSQL). It is not an actual version control system like SVN.
3. Git
4. Git Lab
But it can be used if you do not have SVN.

Connections

Connection is an object that is configured on the platform to connect a database, cloud applications, on-premise application, FTP, etc. It is used to connect a source system to extract data and a target system to load data into it. Basically, a connection is created to an endpoint.

Process Flows

Process Flow is a workflow engine that helps to orchestrate complex integrations. It is a sequence of tasks that processes a set of data. It also can have a series of human Activities. When a Process Flow executes, it runs all of its Activities and Constructs as per the defined order. A set of Activities and Constructs build the Process Flow.

Data Flows

Dataflow defines the flow of data from source to target systems. Data Object / Data Extract is used to extract data from source systems, and Loader is used to load the extracted data into target systems. Dataflow connects / maps Data Object / Extract with Loader. It defines which column’s value from the source system to be passed to which column in the target system.

Extraction Workflow

A Data Object extracts the data from various source systems through its Connections. A Data Extract enables you to join multiple Data Objects, add filters, and select the required columns from each Data Object. While executing, it extracts data from its Data Objects based on a defined filter.

Loading Workflow

Loader loads data into any target systems (Ex: Relational Database, Cloud Applications, FTP, REST or SOAP services, Big Data, etc.). It can be mapped in a Dataflow to receive data from a Data Object / Data Extract from any source system and then load it into a target system. It supports operations like insert, update, merge / upsert in the target system based on the operation defined in the loader or the API defined in it.

Scheduler

The scheduler is used to schedule a job to run it at a particular date and time, either once or repeatedly. It is helpful for batch integrations. The scheduler runs the job without any manual intervention. It helps to monitor the scheduled job executions and skip the next schedule based on the priority.

Integration Monitor

Integration Monitor provides the overall Execution summary of all Dataflows executed in the last 24 hours. It shows a summary of the last 24 hours. However, filters can be added to select other options like “Last 7 days” or a date range. The graphical as well as detailed table views are shown for all the Dataflows and its corresponding Data Objects and Loaders that get executed.
Instead of seeing the execution one by one, a collective representation can be seen here. This helps us to analyze the executions and the corresponding data.

Version Control

Vesioning (check-in) is the process of assigning a unique version number to a unique state of an object and storing the object in a version control system. When you version an object, the versioning process converts the current state of the object into a file, and stores the file in a version control system. The version control system records the historical changes of the file so that you can retrieve a specific version later.
Chainsys Platform supports the following types of version control systems:
1. SVN (Apache Subversion)
2. Relational Database (only Oracle or PostgreSQL). It is not an actual version control system like SVN.
3. GIT
4. GIT Lab
But it can be used if you do not have SVN.

Connections

Connection is an object that is configured on the platform to connect a database, cloud applications, on-premise application, FTP, etc. It is used to connect a source system to extract data and a target system to load data into it. Basically, a connection is created to an endpoint.

50 Reasons dataZap can Work for You!

ChainSys approaches integrations with simplicity and robustness in both process & platform. It is no wonder we have managed to deliver complex interfaces for over 150 implementations, covering close to 200 discrete endpoints. The secret lies not only in the robustness of our prebuilt templates, but also in the maturity of our implementation process.

While we can think of hundreds of reasons why dataZap can be the perfect fit for your integration, we wanted to give you the top 50.

Accelerators

Helps to do it faster
  • Ready to use Extraction adaptors
  • Ready to use Load adaptors
  • Ready to use Physical and Logical Mappings
  • Ready to use Transformations Data Approvals
  • 50+ End Points
  • 9000+ Smart Data Adaptors

Proven Solution

Battle tested and approved solution
  • 50+ Endpoints Supported
  • SAP Certified
  • Oracle Certified
  • SFDC Approved
  • IBM Ready
  • MSFT Ready
  • Procore Certified
  • Big Data Certified
  • MES Proficy Ready
  • AWS Redshift, S3, Aurora ready
  • IoT Connect with Sensors
  • IoT OSI Soft PI Ready
  • Certification Connection Methods
  • 22+ Years of Product Innovation and Investments
  • Joint Development Partnerships

Enterprise Ready

Can scale to Support Fortune 500 Companies
  • Flexible connection methods support
  • Robust Error Handler
  • Distributed Computing
  • Quarterly Product Releases
  • Quarterly Business Reviews
  • Joint Development Partnerships
  • Legacy Applications Ready
  • Robust Logger

Innovation

Technology Leadership
  • No Coding
  • Industry Focused Solution
  • Application Focused Solution
  • Simplified Workflows
  • CLOUD First
  • Mobile First
  • No Programming / Low Code
  • Integration Monitor
  • Big Data Ready
  • Automatic Testing Engine / BOTS
  • Built-in Catalog for Integration Objects

Smart Features

Why didn't I think of that / doing it better ?
  • Release & Configuration Management with GitLab and SVN
  • TAPI and VAPI (Transformation and Validations as service)
  • Active and Passive Transformation
  • CLOUD First
  • Built-in Reconciliations
  • Automatic Testing Engine / BOTS
  • Bulk Upload and Update
  • Matrix Approval ready – Human workflow available

Usability

Business user and Administrators (Architects and System Admins) usability
  • Integration Monitor
  • Self Service Application
  • Standard Screen Layouts for data monitoring and reprocess
  • Open Training
  • Notifications
  • Quarterly Product Releases
  • Business User Friendly
  • Customer centric Design
  • Built in Project Management Capabilities

Security

Data, users and application security
  • Data Security (At rest and motion)
  • Single Sign on (AD, On-prem and Cloud)
  • Access Control Management (Users & Groups)
  • Self-Contained User Management
  • Roles Based Access Control (Privileges)
  • Data Encryption Capability
  • Data Masking Capability
  • Operational Security (Record Level)
  • Auditing and Logging

Smart Team

We are ready to help you!
  • Flexible Pricing models
  • Data Integration as a Service
  • Data Factory
  • 200+ Integration Specialists
  • 24 X 7 Global Product Support
  • Quarterly Business Reviews
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White Paper

Data in a Minute

Where data management concepts are explained in under a minute