Top information integration tools of 2022


Vector drawing showing data integration with databases and computers. Image: bakhtiarzein/Adobe Stock Today’s companies routinely communicate with information that lives in numerous separate data sources. Stopping working to unify this information causes ineffective operations and increases the chances of presenting errors to information, which eventually defects overall decision-making. Data combination unifies data to enhance total performance and raises the quality of actionable insights. In this guide, TechRepublic deals a list of leading data combination tools to consider for your business’s data integration technique.

Dive to:

What is data combination?

Information combination refers to the procedure of integrating data from disparate sources into a combined view that supports the gathering of actionable company intelligence. Integration starts with the information intake process and involves steps such as information cleaning, ETL mapping and transformation.

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Top data combination tools


Talend logo.< img src=""alt="Talend logo design."width="270"height="203"/ > Image: Talend assists companies deliver healthy data to properly notify their decision-making. The business provides a unified platform to support data needs without limitations in scale or intricacy. With Talend, organizations can execute work seamlessly throughout cloud providers or with on-premises information. Talend’s data combination services make it possible for users to connect all their data sources into a tidy, comprehensive and compliant source of reality.

Secret differentiators

  • 1,000+ adapters and parts: Talend provides more than 1,000 ports and elements for users to connect uncountable data sources and data environments, whether in the cloud or on-premises.
  • Flexibility and intuitiveness: With a drag-and-drop user interface, Talend speeds up the deployment of data pipelines in comparison to hand-coding. Users can likewise use the drag-and-drop user interface to establish and deploy multiple-use information pipelines.
  • Embedded information quality: Talend embeds information quality into every action of the information combination process to proactively stop bad data. It empowers users to discover and fix data concerns while information remains in transit through different systems.
  • Management of larger data sets: Talend supports the scaling of substantial information sets to innovative data analytics or Trigger platforms.

Con: Talend might experience efficiency and memory management issues.


Hevo logo.< img src=""alt="Hevo logo design."width =" 270 "height="161"/ > Image: Hevo is an end-to-end information pipeline platform that allows users to easily leverage information. Hevo can pull information from numerous sources into storage facilities, perform changes and use functional intelligence to business tools. It is purpose-built for the ETL, ELT and Reverse ETL needs these days and assists data teams to improve and automate data flows. Typical advantages of working with Hevo consist of hours of time conserved each week, accelerated reporting, and optimized analytics and decision-making.

Key differentiators

  • No-code user interface: Users can make the most of an instinctive no-code UI to incorporate data from huge sources in near real-time.
  • Fault-tolerant architecture: Through a fault-tolerant architecture, Hevo scales with low latency, carries out end-to-end encryption and adhere to every major accreditation that is required.
  • Automated pipelines: Hevo empowers users to establish pipelines for more than 150 information sources in minutes. Automated maintenance likewise occurs when there are modifications in source data or APIs.

Con: The tool could benefit from more comprehensive documentation for novice users to smooth the learning curve.

Informatica Cloud Data Integration

Informatica logo. Image: Informatica Cloud Data Combination supplies a fast and dependable way to incorporate and provide data and analytics to services. It is an intelligent information platform that constantly assesses the efficiency of processing engines and work variations, all while making it possible for users to determine the proper data integration pattern for their use cases. With Informatica Cloud Data Combination, users can link numerous applications and information sources on-premises and incorporate information sources at scale in the cloud.

Secret differentiators

  • Rich set of adapters for all major data sources: Informatica Cloud Data Integration offers out-of-the-box connection to hundreds of systems, applications, data shops and BI tools.
  • Advanced information change performance: With transformation types such as cleansing, masking, aggregation, filtering and parsing, users can process information changes in real-time or batch.
  • Codeless combination: Oracle Cloud Data Combination expedites advancement by connecting huge endpoints throughout on-premises and cloud environments with pre-built transformations through a visual mapping designer.

Con: Users can not keep metadata in your area with Informatica Cloud Data Integration.

Oracle Data Integrator

Oracle logo.< img src=""alt="Oracle logo."width="270"height="203"/ > Image: Oracle Data Integrator is a thorough data integration platform that covers data combination requirements like high-volume, high-performance batch loads; SOA-enabled information services; and event-driven, trickle-feed combination processes. Oracle likewise provides sophisticated information integration capabilities to users that look for to carry out seamless and responsive Big Data Management platforms through Oracle Data Integrator for Big Data.

Key differentiators

  • Out-of-the-box combinations: The Oracle Data Integrator Business Edition offers out-of-the-box combination with databases, ERPs, CRMs, Hadoop, LDAP and more.
  • Heterogeneous support: The Enterprise Edition offers heterogeneous support for third-party platforms, data sources and warehousing devices. It is totally optimized for blended innovations such as sources, applications, targets and more.
  • Knowledge module structure for extensibility: The Enterprise Edition has modular, versatile and extensible processes as an outcome of having understanding modules at the core of the Oracle Data Integrator.
  • Rich ETL: Oracle Data Integrator supplies abundant ETL for Oracle databases, with complicated dimension and cube loading assistance.

Con: Oracle’s solution includes a complicated advancement experience in contrast to rivals.


Dataddo logo.< img src=""alt="Dataddo logo."width="270"height ="203"/ > Image: Dataddo is a no-code platform for data combination, change and automation that seeks to offer users with total control and access to their information. The platform works with many online information services, consisting of existing information architectures users currently have. Dataddo syncs dashboarding applications, data lakes, information storage facilities and cloud-based services. It likewise pictures, centralizes, disperses and triggers information by automating its transfer from source to destination.

Secret differentiators

  • Information to control panels: Dataddo allows users to securely send out information to Google Sheets and dashboarding applications like Power BI from any business application. Its Solutions Team proactively monitors information pipelines and looks after API changes.
  • Data anywhere: Users can firmly send information from organization applications, APIs or databases to data storage facilities, dashboarding applications and service applications through Dataddo’s Data Anywhere item.
  • Headless data integration: The merged Dataddo API supplies a platform for users to develop their information products on and get flexibility from consistent API changes, scalability concerns and pipeline maintenance.

Con: The platform can be quite confusing to new users. logo. Image: is a low-code information warehouse combination platform that supports notified decision-making for data-driven growth. Its platform provides organizations abilities to incorporate, procedure and prepare data for analytics on the cloud.’s platform is scalable to ensure that companies can maximize big information chances without a substantial financial investment in software, hardware and personnel. The platform gives business the chance to delight in immediate connection to several information sources and an abundant set of out-of-the-box data transformations.

Secret differentiators

  • ETL and reverse ETL: makes it possible for groups to focus more on insights and much less on data preparation through low-code ETL and Reverse ETL for enhancing data processing.
  • ELT and CDC: Users and systems can access information in real time through making use of ELT and CDC to reproduce information to their data storage facilities.
  • API generation: provides groups instantaneous API generation to offer API access to data sources for consumption in their systems and applications.

Con: The tool might gain from more advanced functions and modification.

IRI Voracity

IRI Voracity logo. Image: IRI Voracity IRI Voracity is an end-to-end data lifecycle management platform that leverages innovation to tackle speed, complexity and cost concerns in the data combination market. It is an integration platform as a service (IPaaS) data integration tool that is ideal for quick and inexpensive ETL operations. IRI Voracity also provides information quality, masking, federation and MDM combinations.

Secret differentiators

  • Several source connections: IRI Voracity’s several source connections make it possible for users to manipulate and mash-up both structured and disorganized information sources.
  • Data mapping: The tool gives users the ability to format endian, record, field, file and tables, along with add surrogate secrets. IRI Voracity supports ETL, replication and federation.
  • Hadoop transforms: IRI Voracity provides alternatives for Glow, MapReduce 2, Glow Stream, Storm or Tez processing to yield endless scalability.

Con: The IRI product names might be puzzling to users.


Zigiwave logo. Image: Zigiwave is a company that aims to interfere with the combinations industry, especially where connections in between applications are characterized by lines of code and a great deal of time invested. Zigiwave’s item, ZigiOps, is a highly versatile no-code combination platform that creates powerful combinations in a handful of minutes. ZigiOps empowers non-technical users to carry out integration jobs in a few clicks without having to include scripts.

Key differentiators

  • No code integrations: As a no-code integration platform, ZigiOps links systems in minutes, supplying a low entry and usage barrier for non-technical users.
  • Versatility and scalability: ZigiOps offers users the ability to synchronize all entities and fields. They can establish, customize, scale and launch all integrations from a single user interface.
  • Integration templates: With ZigiOps, users are offered with completely personalized integration templates. These predefined design templates make sure that users take less than 5 minutes to establish combinations.
  • Healing and data security functions: ZigiOps secures users’ integration setup in case of system downtime. It is likewise incapable of saving sensitive details given that it does not have a database.

Con: Because the company is based in Europe, the assistance time coverage may prove to be a difficulty for users beyond Europe.

What is information combination utilized for?

Leveraging big information

The intricacy and volume of big data imply that the information that is available for companies to utilize keeps increasing. This growing volume of huge data strengthens the need for modern-day data combination efforts that increase big data presence and usability.

Developing data lakes and data storage facilities

Data combination helps to produce information storage facilities. Information warehouses combine various data sources into a database. These warehouses empower users with querying, report collection, analysis generation and data retrieval capabilities. In general, they help companies generate organization intelligence, with the aid of data combination operations.

Making company intelligence simpler

Service intelligence take advantage of data integration, as the procedure supplies a unified view of information from numerous sources. This simplifies analyzing and understanding data sets to produce actionable organization insights. Information combination makes it possible for information experts to compile information without the hazard of being engulfed by huge volumes.

Secret features of information combination tools

  • Connectors: Information combination tools must have as numerous pre-built ports as possible to alleviate combination jobs for teams and ultimately save more of their time.
  • Mobility: Data combination tools should enable organizations to construct combinations and perform them in any environment. This is especially important as the appeal of hybrid cloud models continues to increase.
  • Cloud compatibility: Whether in a single-, multi-cloud, or hybrid environment, data integration tools must run natively.
  • Open-source: Open-source tools help companies avoid supplier lock-in while offering more flexibility.

Benefits of utilizing data combination tools

Greater partnership and unification of systems

Information combination requires collective effort to improve the information that the company requires. Data combination combines and delivers data across all industries.

Less mistakes

Manually handling high-volume information greatly adds to missing, incomplete and inaccurate information. A data combination service synchronizes information with automated updates. It also enables companies to run reports in genuine time, which helps to prevent errors and find errors quickly.

Increased performance

Correct information combination assists business decrease the time it requires to prepare and examine information. The best data integration tools likewise use features that help development groups conserve time on more manual jobs like hand-coding.


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