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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…
Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.
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…
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.
Centerprise Data Integrator is an integration platform that includes tools for data integration, data transformation, data quality, and data profiling.
Pentaho is a suite of open source business intelligence and analytics products, now offered and supported by Hitachi Data Systems since the June 2015 acquisition.
TIBCO Data Virtualization is an enterprise data virtualization solution that orchestrates access to multiple and varied data sources and delivers the datasets and IT-curated data services foundation for nearly any solution.
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…
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.
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.
Dataloader.io delivers a cloud based solution to import and export information from Salesforce.
SnapLogic is a cloud integration platform with a self-service capacity supported by over 450 prebuilt modifiable connectors. SnapLogic also offers real-time and batch integration processes for interfacing with external data sources, a drag-and-drop interface, and use of the vendors’…
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.
Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides data connectivity and desktop data integration, and with the Workbook interface for business users, it provides simple-to-use visual query…
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.
Analytics that make it easy for businesses to aggregate big data, leveraging the power and scale of Hadoop.
The Talend Integration Suite, from Talend, is a set of tools for data integration.
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.
Fivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern…
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.
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…
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.
The top rated data integration tools are as follows: