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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.
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
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.
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.
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.
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.
(1-25 of 113) Sorted by Most Reviews
TIBCO Cloud™ Integration is an enterprise iPaaS platform. It offers a drag-and-drop and API- led design approach for user-friendliness.
Matillion is data transformation for cloud data warehouses. According to the vendor, only Matillion is purpose-built for Amazon Redshift, Snowflake, and Google BigQuery enabling businesses to achieve new levels of simplicity, speed, scale, and savings. Users can develop custom…
Oracle GoldenGate is database management software for data integration, and availability support for heterogeneous databases.
According to the vendor, SolarWinds Task Factory saves time managing tedious ELT/ETL tasks with high-performing SQL Server Integration Services (SSIS) components that can be used within the Visual Studio environment to connect to nearly any data source. Task Factory’s components…
Dell Boomi is a cloud-based, on-premise, or hybrid integration platform. It offers a low-code/no-code interface with the capacity for API and EDI connections for integrating with external organizations and systems, as well as compliance with data protection regulations.
Oracle Data Integrator is an ELT data integrator designed with interoperability other Oracle programs. The program focuses on a high-performance capacity to support Big Data use within Oracle.
Centerprise Data Integrator is an integration platform that includes tools for data integration, data transformation, data quality, and data profiling.
Dataloader.io delivers a cloud based solution to import and export information from Salesforce.
Informatica PowerCenter is a metadata driven data integration technology designed to form the foundation for data integration initiatives, including analytics and data warehousing, application migration, or consolidation and data governance.
SAP Data Intelligence is presented by the vendor as a single solution to innovate with data. It provides data-driven innovation in the cloud, on premise, and through BYOL deployments. It is described by the vendor as the new evolution of the company's data orchestration and management…
Cisco Data Virtualization, formerly Composite (acquired July 2013) is, as the name might suggest, a data or datacenter virtualization platform.
Qlik Replicate enables organizations to accelerate data real-time replication, ingestion and streaming via change data capture, across a wide range of heterogeneous databases, data warehouses and data lake platforms.
The Talend Integration Suite, from Talend, is a set of tools for data integration.
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…
IBM InfoSphere is an enterprise grade master data management solution used by over 700 customers. It competes with Oracle's Siebel UCM product and Informatica.
COZYROC SSIS+ is a suite of 240+ advanced components for developing ETL solutions with Microsoft SQL Server Integration Services. The vendor states that COZYROC is an easy-to-use, code-free library of tasks, components and reusable scripts that can significantly cut development time…
IBM InfoSphere DataStage is an ETL platform for integrating data across enterprise systems, available on-premise or on cloud.
SAP's Sybase Replication Server is database development and management software.
Phocas helps users discover data and provides results in real time. It is designed for non-technical users and delivers a simple yet powerful analytical capability that quickly turns data into a chart, graph or map. It brings up data on local, regional or global sales, inventory,…
SAP NetWeaver Process Integration is an application integration solution.
The top rated data integration tools are as follows:
