Best Data Integration Tools42Data integration involves combining data residing in different sources and providing users with a unified view of these data.iFusion Analytics1 Integration Platform (HIP)4 RED5 Ironstream6 for Splunk9 Cloud Data Integration10 Data Exchange11 Data Flow Components14 Compose15 Analytics17 Cloverleaf Integration Suite18 Big Data Platform19 Data Management Platform20 Gotham21 Data Factory22

Data Integration Tools

Best Data Integration Tools

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Data Integration Tools Overview

What are Data Integration Tools?

The need for data integration emerges from complex data center environments where multiple different systems are creating large volumes of data. This data must be understood in aggregate, rather than in isolation. Data integration is nothing more than a technique and technology for providing a unified and consistent view of enterprise-wide data.

Data Integration Tools Features & Capabilities

  • Ability to process data from a wide variety of sources such as mainframes, enterprise applications, spreadsheets, proprietary databases, etc.

  • Ability to process unstructured data from social media, email, web pages, etc.

  • Syntactic and semantic checks to make sure data conforms to business rules and policies

  • Deduplication and removal of incorrectly or improperly formatted data

  • Support for metadata

Types of Data Integration

There are several different approaches to achieving this goal which are quite different to each other and essentially solve slightly different problems: The main technologies for data integration are Extract, Transform Load (ETL), Enterprise Application Integration (EAI), and Enterprise Information Integration (EII), or data virtualization as it is more often called today.

Products listed in this category belong to the ETL data integration approach. Unlike the other listed approaches, ETL is designed for data migration and integration of large volumes of data to provide a basis for decision-making.

What is ETL?

ETL is a process whereby large volumes of required data are extracted from various databases and converted into a common format. The data is then cleaned, and loaded into the specialized reporting database called a data warehouse. It is then available for standard reporting purposes.

The data used in ETL can come from any source including flat files, Excel data, application data like CRM or ERP data, or mainframe application data. Perhaps the most difficult part of the process is the “Transform” component. Here, not only must the data be cleansed and any duplicates removed, but the software also has to resolve data consistency issues. It applies rules to consistently convert data to the appropriate form for the data warehouse or repository.

Once the data has been loaded into a data warehouse it is available for querying by business intelligence front-end processes that can pull consolidated data into reports and dashboards.

Shortcomings of Data Warehouses

One shortcoming of the data warehouse approach is that the data is not always current. Data warehouses pull data from databases periodically in batches, not in real time. If the data in the source database has changed, this might not be reflected in the data in the warehouse. Various strategies can be employed to achieve “real-time ETL”, although some of them place a significant load on the database. This can have performance repercussions.

The simplest thing to do is simply increase the frequency of batch updates to near real-time processing. But there are other solutions including continuously feeding the database using real-time data transport technologies, the use of staging tables, or a real-time data cache.

Pricing Information

Enterprise-level data integration tools can be very expensive with some products costing upwards of $10,000 per user per year. On top of that, you may need to pay for professional services to get up and running. SMB solutions are significantly cheaper than this.

Data Integration Products

Listings (76-97 of 97)

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Innominds company iFusion Analytics offers their data integration as a service offering for managing heterogenous and / or unstructured data sources.

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The vendor says they understand the challenges faced by agencies, marketing groups, sales teams, and business of all sizes.With so many CRM platforms to choose from, and many new options coming out every day, the likelihood of you needing to migrate your data from one CRM to another is very high....

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Striim is an enterprise-grade platform that offers continuous real-time data ingestion, high-speed in-flight stream processing, and sub-second delivery of data to cloud and on-premises endpoints.

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WhereScape headquartered in Portland with international offices offers WhereScape RED, a data infrastructure and integration automation tool.

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Syncsort offers Ironstream, designed to integrate mainframe data (e.g. IBM i and IBM mainframe) into SIEM or ITOA applications to provide additional information about the performance of core systems.

We don't have enough ratings and reviews to provide an overall score. is a hyper-scalable and secure integration platform for SaaS companies with connectors to 300+ various cloud applications. According to the vendor, enables users to create integrations with the low-code visual builder, embed them into the UI of your platform and centrally man...

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BNW Consulting, a SAP consultancy agency, provides PowerConnect for Splunk as a data integration tool for SAP enterprises, and is designed to send important information about what’s going on inside SAP systems, in near real time to Splunk allowing enterprises to meet security compliance requireme...

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AWS Data Exchange is an integration for data service, from which subscribers can easily browse the AWS Data Exchange catalog to find relevant and up-to-date commercial data products covering a wide range of industries, including financial services, healthcare, life sciences, geospatial, consumer,...

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MetaRouter is presented by the vendor as a customer data integration solution for security-minded organizations who want to use analytics tools they need, on their own terms. With MetaRouter the user owns the entire data infrastructure, with it deployed on a private cloud, and maintains control o...

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ZappySys SSIS PowerPack is a collection of drag and drop connectors/tasks for SSIS.

Devart’s SSIS Data Flow Components allow users to integrate database and cloud data via SQL Server Integration Services (SSIS). The components provide easy to set up cost-effective data integration using SSIS ETL engine. They offer high performance data loading, convenient component edito...

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Qlik Compose comes in two offerings: Qlik Compose for Data Warehouses and Qlik Compose for Data Lakes. Qlik Compose for Data Warehouse automates and streamlines the design, creation, loading, management, and update of data warehouses including Amazon Redshift, Azure Synapse, Google BigQuery, Snow...

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ImportOmatic is a data integration solution. According to the vendor, this solution redefines efficient with baked-in intelligence to clean data. This solution also includes smart profiles for tailored processing and new connectors that make import and export a one-step process. ImportOmatic Co...

Clear Analytics is a business intelligence solution that enables non technical end users to perform analytics by leveraging existing knowledge of Excel coupled with a built in query builder. Some key features include: Dynamic Data Refresh, Data Share and In-Excel Collaboration.

The Syncfusion Big Data Platform is a Hadoop distribution designed for Windows. Its users can develop on Windows using familiar tools, and deploy on Windows. The vendor says they have taken the advantages of the Hadoop environment – from easy querying across structured and unstructured data to c...

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Microsoft's Azure Data Factory is a service built for all data integration needs and skill levels. It is designed to allow the user to easily construct ETL and ELT processes code-free within the intuitive visual environment, or write one's own code. Visually integrate data sources using more than...