Data Integration Tools
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(1-25 of 195)
Skyvia is a cloud platform for no-coding data integration (both ELT and ETL), automating workflows, cloud to cloud backup, data management with SQL, CSV import/export, creating OData services, etc. The vendor says it supports all major cloud apps and databases, and requires no software…
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…
Astera Data Pipeline Builder is a no-code solution for designing and automating data pipelines. It allows users to read and write data across various file formats, databases, and applications. Users can execute ETL and ELT pipelines manually, schedule automated reruns, or integrate…
TIBCO Integration is used to connect diverse business solutions, data sources, and devices into a single, seamless system.
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 companies using cloud-based software and storage, traditional ETL tools badly underperformed, and the complicated configurations they required often led to project failures. To streamline and accelerate analytics projects, Fivetran developed zero-configuration, zero-maintenance pipel…
dbt is an SQL development environment, developed by Fishtown Analytics, now known as dbt Labs. The vendor states that with dbt, analysts take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. dbt Core is…
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.
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…
Microsoft Fabric: A Comprehensive Data Management Solution
Microsoft Fabric presents a unified, robust platform desig…
Devart Python Connector is a connectivity solution for access…
A CSV importer tool. With it, developers can add a CSV import widget to an app, to give the app's users a hassle-free spreadsheet upload experience.
Windsor.ai is a marketing attribution software, developed specifically for marketing professionals and enterprises. It is utilized to optimize return on investment using Artificial Intelligence. It lets users incorporate all of their marketing data and run advanced marketing attribution…
Adverity is a fully-integrated data platform for automating the connectivity, transformation, governance & utilization of data at scale.
IBM InfoSphere Information Server is a data integration platform used to understand, cleanse, monitor and transform data. The offerings provide massively parallel processing (MPP) capabilities.
DBAmp is a Salesforce integration solution for any SQL DBA. With DBAmp, users can access Salesforce data in real-time using standard SQL. For many organizations, SQL Server plays a critical role in BI and operational reporting. Using DBAmp, users can extend the same SQL Server…
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.
Dataddo is a fully-managed, no-code data integration platform that connects cloud-based applications and dashboarding tools, data warehouses, and data lakes. It offers 3 main products:
- Data to Dashboards, which lets users send data from online sources straight to dashboarding apps like Tableau, Power BI, and Google…
Diyotta is an enterprise-class data integration platform that connects enterprises to all their data. It provides a single integrated platform designed to make it easy to integrate enormous volumes of data from any source to any target, whether on-premises, in the cloud, or a hybrid e…
Containerized orchestration middleware for full-stack management of small-to-large-scale UltraESB-driven integration solution deployments!
- Leverage the awesome scalability of Kubernetes and other orchestration platforms to host sophisticated integrations
- Cut down tr…
Oracle Data Integration Platform Cloud (DIPC) is a unified platform for real-time data replication, data transformation, data quality, and data governance. DIPC helps migrate and extract value from data by bringing together capabilities of a complete Data Integration, Data Quality…
Devart Excel Add-ins allow you to use Excel capabilities to import, process, and analyze data from cloud applications and relational databases. The Excel Add-ins also allow users to make data changes and then save those changes back to the data source they were originally imported…
Learn More About Data Integration Tools
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.
ETL Tools Comparison
When comparing ETL tools and data integration products, consider the following criteria:
Deployment: Many cloud-based and SaaS products are available. Cloud-based deployment can be simpler and leaner, especially for teams with limited IT infra structure. However, you’ll sacrifice some level of control and customization. An on-premise solution gives you more control, but at the price of more infrastructure and support staff. If you handle sensitive data, you’ll also need to make sure that your cloud provider has appropriate compliance and encryption.
Open-Source vs Proprietary: Open-source data integration tools are reliable, time-tested alternatives to proprietary software. They’re often cheaper, too. However, open-source tools aren’t great for new users or engineers that need a polished, UX-focused workflow. They’re best for experienced users that are prepared to fully engage with the software’s customization and integration capabilities.
Existing Ecosystem: ETL and data integration tools are designed to be flexible, but it’s almost universally simpler to pick a tool that’s designed with your existing tech stack in mind. Start by evaluating these products, and expand your search only if they don’t meet core needs.
Use Case: If you’re just starting out, don’t pick a comprehensive platform. Start small, and grow later. If you know you’re planning to scale up, look for ETL tools that fit easily into larger pipelines.
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.
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Frequently Asked Questions
What businesses benefit most from data integration tools?
What are the best Data Integration Tools?
The top rated data integration tools are as follows: