In my previous blogs on Big Data, we have talked a lot about Big Data from what it is, what is the architecture of Big Data, to what tools are out there to help us manage, operate, store and make real use of the Enormous Data that we have today. We even discussed some facts, and dos and don’ts of Big Data. Recently, we discussed about some V’s of big data which represents the characteristics of Big Data and also the possible challenges for the Big Data.
So, just a revision of what all tools we have covered is as below:
- Data Extraction tools both open source and commercial.
- Cloud Data Storage Tools for storing the big data of your business.
- Data Cleaning tools for offline use for correcting the follies in the big data.
- Data Mining to grave out the useful information hidden in this terabytes of data
- Data Visualization tools to give the data insights a graphical look.
Moving to the next functionality layer of the Big Data Architecture, which is a connection between all the other functionalities i.e. Data Integration. Data integration is the process of combining data from many different sources, typically for analysis, business intelligence, reporting, or loading into an application.
The data integration tools could be divided into 3 groups as below like –
- In-built in Larger Suite of Products
- Independent Platforms
- Open Source Tools
Independent Data Integration Tools
1. Adeptia Suite
It is the most versatile and comprehensive integration software platform on the market. It is an enterprise-class data integration software that is centrally administered and managed to ensure smooth performance and uptime. This software has solutions for both the cloud and on-premise integration.
2. Apatar
It helps you to establish a connectivity between many applications and data sources (Oracle, MS SQL, MySQL, Sybase, DB2, SalesForce.Com, SugarCRM, and more). It can operate in two ways as a platform independent and via a Visual Job Designer without coding anything. There is also a version that supports Salesforce and Quick Books.
3. Centerprise Data Integrator
This Data Integration tool provides a powerful, scalable, high-performance, and affordable integration platform designed for ease and is robust enough to deal with complex data integration challenges. It has the capability to map complex data and so it makes it a good platform for overcoming the challenges of complex hierarchical structures such as XML, electronic data interchanges, web services, and more.
4. Clover ETL
Clover ETL is a pure data integration suite making rapid development. This product family comes in the free software list for core functionality and three paid versions that incrementally include more connectors, scheduling and automation, and parallel processing and big data support. It enables in automating data pipeline support. It has multi-threaded execution model, for bulk operations.
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5. Elixir Data ETL
Elixir Data Integration tool provides on-demand, self-serviced data manipulation for both business users and for enterprise people for data processing needs. It provides an open source feature to easily integrate and customize data across different sources and is well known for its extensiveness, build to meet the operational data analytics need.
6. Informatica
Informatica is a leading provider of data integration software. This data integration tool access and integrate data from any business system, in any format and deliver that data throughout the enterprise at scale and at any speed. It eliminates the risk of manual ingestion, through its high performance oriented data migration techniques, which includes automation, data reuse and agile support.
Informatica Cloud connects to a wide variety of on-premise and cloud-based applications – including enterprise applications, databases, flat files, and file feeds and even social networking sites.
7. Talend’s data Integration Products
Talend Data Integration Product helps you to maximize the value of data to your business. Talend data platform is based on an open and scalable architecture. It has open-source set of tools to access, transform and integrate data from any business system in real time or batch to meet both operational and analytical data integration needs. To integrate the functionality it can connect to native databases, packaged applications (ERP, CRM, etc.), SaaS and Cloud Applications, mainframes, files, Web Services, data warehouses, data marts, OLAP Applications and many more.
8. Syncsort
DMExpress Syncsort’s flagship data integration product, is the fastest version with high-performance compression technology and high-performance join algorithms. It has all components required for accelerating the data integration process. It supports metadata interchange, allowing you to easily import jobs from other platforms, such as Informatica and IBM DataStage, to accelerate deployment.
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There are two other variants of this provider
- DMX-h – It provides support for HaoopSort and Hadoop ETL
- Syncsort MFX – It eliminates data latency by reducing CPU time, elapsed time, and disk I/O activity while utilizing minimal resources on commodity hardware. It is the only mainframe sort solution that offloads CPU cycles to zIIP engines.
The above list is of the Best independent Data Integration tools. In the next blog I would be listing the other two categories of the Data Integration Tools. One group that has tools which also helps in many other big data functionalities. And the other group consists of tools which falls in the category of Open Source.