Data Integration Software

03.08.22 11:21 AM By Aishwarya

Top Trending 2022

Demand for hybrid and multicloud data integration, augmented data management, and data fabric architectures is driving a resurgence in the data integration tool industry. This evaluation of 18 suppliers will assist data and analytics leaders in selecting the ideal provider for their data integration requirements.

Strategic Planning Hypotheses
With the incorporation of machine learning and automated service-level management, manual data management chores will be reduced by 45 percent by 2022.
> AI-enabled data management and integration automation will cut the demand for IT personnel by 20% by 2023.

Definition/Description of the Market
Data integration is defined as the discipline consisting of architectural patterns, tools, and processes that enable organisations to access, harmonise, transform, process, and transport data across numerous endpoints and any infrastructure.

The market for data integration tools comprises companies that provide a standalone software product (or products) to facilitate the building and execution of data access and data delivery infrastructure for a variety of data integration situations.

These consist of, but are not limited to:
Data Engineering: Constructing, managing, and deploying data pipelines in support of diverse analytics and data science requirements (such as logical data warehouse, analytics/business intelligence [BI], and machine learning, among other analytical use cases) by adhering to predefined architectural patterns, tools, and methodologies. This use case additionally needs manufacturers of data integration tools to include the following functionalities inside their data integration technologies:

Support for optimised delivery of analytics: The ability to provide access to numerous heterogeneous data and application sources and then connect or collect data from these sources into a target store that is optimised to deliver integrated data for analytics use cases. This includes the ability to support data warehouse installations and manage push-down optimizations into these data warehouses to support the transformations required to generate data models best suited to an organization's increasing analytic needs.

Data lake enablement: Data integration technologies facilitate the incorporation of data in its "native" format into data storage that meet an organization's data lake requirements (including cloud object stores or file stores). However, moving data to the data lake is not sufficient. Organizations need their data integration solutions to facilitate data transformation and operationalization (which includes data preparation, schema assignment, managing and supporting mappings, and delivering the data to supported and consuming applications).

Self-service data preparation: The capacity to deliver user experiences that allow end users to develop and manage integrations independent of the professional services of the tool vendors. These experiences must accommodate a variety of integration personas, including integration specialists and ad hoc/citizen integrators.

Cloud Migration: This use case necessitates data integration solutions to facilitate the migration and modernisation of data and analytics workloads to public cloud infrastructure, typically requiring an architecture that spans on-premises and one or more cloud ecosystems. This use case additionally requires providers to implement the following functionalities within their data integration tools:

Data migration and consolidation: Data integration technologies meet the data transportation and transformation requirements of data migration and consolidation, including the replacement of old applications and the migration to new computing environments.

Options for cloud data delivery: The capacity to supply data integration capabilities as cloud services for hybrid, multicloud, and intercloud integration use cases. Supporting operational/transactional data integration use cases include master data management and inter-enterprise data acquisition and sharing (including the ability to create data hubs for integration when needed). This includes the capability of data integration technologies to integrate, consolidate, and synchronise data associated with essential business operations and to support data governance activities. Common data integration tool needs include:

Sourcing and distribution of master data to facilitate master data management (MDM): This entails facilitating the connectivity and integration of data representing essential business entities such as customers, products, and workers. Tools for data integration can be used to develop data access and synchronisation processes to assist MDM initiatives. Organizations are increasingly compelled to offer data to and receive data from external trading partners via enterprise data sharing (customers, suppliers, business partners and others).

Data Integration Software

Top Trending Vendors

Adeptia
Adeptia, headquartered in Chicago, Illinois, offers Adeptia Connect as their data integration solution. Its operations are mostly concentrated in North America and Europe, the Middle East, and Africa. It has over 1,600 customers from numerous industries, with the bulk belonging to the insurance, financial, and manufacturing sectors.

CloverDX
It has its main office in Prague, Czech Republic. The following data integration tool is provided: Platform for CloverDX Data Management. There are more than 400 clients for this product line. Its operations are concentrated on North America and Europe, with an expanding presence in Asia/Pacific (APAC). The majority of its clients are in the financial services, consulting and software services, and government sectors.

Denodo
Its headquarters are in Palo Alto, California. The following data integration tool is provided: Denodo Platform. Geographically diverse, its operations serve over 900 customers mostly in the financial services, manufacturing, and technology industries.

Fivetran
It has its main office in Oakland, California. The following data integration tool is provided: Fivetran. There are more than 2,400 clients for this product line. Its operations are concentrated in North America and Europe, with a rising presence in Asia-Pacific and Latin America. Software services, information technology, and finance are the top three industries supported by this organisation.

HVR
HVR sells its HVR data integration software in San Francisco primarily to assist log-based change data collecting (CDC). More than 450 businesses are clients of the vendor for this product set. The majority of its activities are located in North America and EMEA, and the majority of its clientele are in the manufacturing, technology, and finance industries.

IBM
IBM Cloud Pak for Data (which contains DataStage Enterprise Cartridge), IBM Cloud Pak for Integration, IBM Data Replication, and IBM Data Virtualization Manager are all geared towards a variety of data integration use cases. More than 11,000 businesses are clients of the vendor for this product suite. Global in scope, its clients are often enterprise B2B and B2C enterprises.

Informatica
The headquarters of Informatica is in Redwood City, California. As part of its Intelligent Data Management Cloud, it provides the following data integration tools: Informatica Intelligent Cloud Services (IICS) (which includes the following data integration-related services: Cloud Data Integration, Cloud Data Integration Elastic, Cloud Mass Ingestion, Cloud Integration Hub, and Cloud B2B), Data Engineering Integration, Enterprise Data Preparation, Enterprise Data Catalog, Data Engineering Streaming, PowerCenter, and PowerExchange. These product categories have over 10,000 customers for Informatica. Geographically diverse, its operations serve primarily clients in the financial services, healthcare, and public sectors.

Matillion
It has offices in both Manchester, United Kingdom, and Denver, Colorado. It offers Matillion ETL and Matillion Data Loader as data integration technologies. More than 1,050 people purchase these product lines. Geographically broad activities across North America, EMEA, and APAC. Customers largely hail from the business services, software, and manufacturing industries.

Microsoft
SQL Server Integration Services (SSIS) tool is designed for on-premises data integration operations, whilst Azure Data Factory (ADF) is designed for Azure-based data integration jobs. Microsoft does not publish the number of clients who have paid for its data integration products. Its operations are dispersed globally, and its clientele span from small to major businesses.

Oracle
Oracle offers the Oracle GoldenGate (OGG) platform, Oracle Data Integrator, Oracle Big Data SQL (BDSQL), and data integration services within Oracle Integration Cloud (i.e. iPaaS) and Oracle Cloud Infrastructure (OCI) Data Integration from its headquarters in Redwood Shores, California. Oracle's clientele for these products exceeds 15,000 businesses. Geographically diverse, its operations serve clients primarily in the financial services, manufacturing, and public sectors.

Precisely
Precisely, headquartered in Burlington, Massachusetts, provides Connect, Ironstream, and Spectrum. More than 2,300 businesses are the vendor's customers for this product set. The majority of its activities are located in North America and EMEA, and the majority of its clients are in the financial services, insurance, and healthcare industries.

Qlik
With its Qlik Replicate, Qlik Compose, Qlik Enterprise Manager, and Qlik Catalog solutions, Qlik, based in King of Prussia, Pennsylvania, addresses a variety of data replication and metadata management jobs. The recent acquisition of Blendr.io has added integration capability for cloud data and API sources. This product line has a global customer base of over 3,000 businesses. The majority of Qlik's operations are located in North America and EMEA, and the majority of its clients operate in the healthcare, financial services, retail, and manufacturing industries.

Safe Programs
It offers a data integration platform called Feature Manipulation Engine (FME), which includes FME Desktop and FME Server. Its headquarters are in Surrey, British Columbia. This product set has a customer base of about 6,800 businesses (excluding OEMs), primarily in EMEA and North America. The majority of its clients are in the government, utilities, energy (oil and gas), and architecture, engineering, and construction (AEC) industries.

SAP
Its headquarters is in Walldorf, Germany. It provides the SAP Data Intelligence, SAP Data Services, SAP Landscape Transformation (SLT) Replication Server, and SAP Integration Suite data integration tools, as well as SAP HANA platform integration capabilities. Its operations are geographically broad, and it supports the consumer products, oil and gas, and retail industries, among others.

SAS
SAS offers the following data integration products: SAS Data Management, SAS Data Integration Studio, SAS Federation Server, SAS/ACCESS in SAS Viya, SAS Data Loader for Hadoop, SAS Event Stream Processing on SAS Viya, and SAS Data Preparation on SAS Viya. SAS is headquartered in Cary, North Carolina. Approximately 16,000 organisations are the vendor's clientele for these products. Its operations are globally diverse, and the majority of its customers are in the banking, government, and services industries.

SnapLogic
SnapLogic, with headquarters in San Mateo, California, provides the SnapLogic Intelligent Integration Platform for data integration. It operates primarily across North America and Europe, the Middle East, and Africa, with an estimated customer base of 1,100 enterprises from varied industries, including technology, retail, manufacturing, healthcare, finance, and transportation.

Talend
The headquarters of Talend is in Redwood City, California. The Talend Data Fabric and the Talend Data Catalog are its data integration technologies. This product line has nearly 6,000 licenced clients for Talend. Its operations are geographically diverse, and its clientele come from several industries, including media and services, financial services, and manufacturing.

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