The data integration market consists of data integration tools and services, used to combine data from disparate sources and deliver the result in the form of integrated data. This integrated data is used to get actionable insights. The best use case of data integration is to make an efficient enterprise data warehouse. The data stored in data warehouses can be accessed for analysis to get a holistic view of enterprise-wide data. Hence, data integration plays an important role, when it comes to managing heterogeneous data sources. Enterprise Application Integration (EAI); Enterprise Information Integration (EII); and Extract, Transform, and Load (ETL) are the major technologies of data integration tools.

COMPETITIVE LEADERSHIP MAPPING TERMINOLOGY

The vendors are placed into 4 categories based on their performance in each criterion: “vanguards,” “innovators,” “emerging,” and “dynamic.” The top 25 vendors in the data integration market have been evaluated, including Actian Corporation, Acxiom, Attunity, Bedrock Data, Boomi, Inc., Cisco Systems, Inc., CloverETL, Denodo Technologies, elastic.io GmbH, HVR Software, IBM Corporation, Informatica, Information Builders, Jitterbit, Microsoft Corporation, Oracle Corporation, Pentaho Corporation, Pitney Bowes Inc., Primary Data, SAP SE, SAS Institute Inc., Scribe Software Corporation, Stone Bond Technologies, L.P., Syncsort, and Talend.

VISIONARY LEADERS

Vendors who fall into this category receive high scores for most of the evaluation criteria. They have strong and established product portfolios and a very strong market presence. They provide mature and reputable data integration tools. They also have strong business strategies.

INNOVATORS

Innovators in this microquadrant are vendors that have demonstrated substantial product innovations as compared to their competitors. They have very focused product portfolios. However, they do not have a very strong growth strategy for their overall businesses.

DYNAMIC Differentiators

They are established vendors with very strong business strategies. However, they are low in their product portfolios. They focus on a specific type of technology related to the product.

EMERGING COMPANIES

They are vendors with niche product offerings, who are starting to gain their position in the market. They do not have very strong business strategies as compared to other established vendors. They might be new entrants in the market and require some more time before gaining significant market traction.

TOP VENDORS
In Data Integration Software

  1. INFORMATICA CORPORATION
    0 Reviews
    3.9
  2. MICROSOFT CORPORATION
    0 Reviews
    3.6
  3. IBM CORPORATION
    0 Reviews
    3.5

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Data Integration Software Quadrant

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KEY BUYING CRITERIA

Product Maturity
Strategic Maturity
Use Case Maturity
Most IMPORTANT
0.0
0.0
0.0
Breadth and Depth of Product Offerings
4.15
4.05
3.85
Product Features and Functionality
3.95
4.15
4.20
Delivery
4.80
4.00
3.70
Support
4.95
4.60
3.85
LEAST IMPORTANT LESS IMPORTANT

TOP VENDORS

  • In the data integration market, Informatica provides Informatica PowerCenter, an end-to-end enterprise data integration platform. It enables users to integrate raw, fragment data from disparate sources in realtime, and transform it into valuable business information. The platform provides a wide range of tools and functionalities to meet the diverse requirements of users from different verticals.

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    3.9
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  • In the data integration market, Microsoft provides Microsoft Azure Data Factory, a cloud-based data integration service. It orchestrates and automates the process of moving and transforming data. Users can use this data integration service to ingest data from various data sources, transform the data, and load the output to data storage units. The product itself does not store any data, as such. It lets users create datadriven flows to orchestrate the movement of data between supported data stores and processing of data using compute services in other regions or an on-premises environment.

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    3.6
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  • In the data integration market, IBM is strongly positioned with its data integration platform, InfoSphere Information Server, which includes a number of data integration products/modules that users can deploy together or individually, including InfoSphere Information Server for Data Integration and InfoSphere DataStage. IBM’s InfoSphere Information Server for Data Integration enables users with various options to deliver data, such as ETL, virtual/federated data delivery model, or through incremental/data replication method.

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    3.5
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  • Oracle provides Oracle Data Integrator and Oracle GoldenGate. Oracle Data Integrator is a data integration platform, which provides integration with databases, Hadoop, ERPs, CRMs, B2B systems, flat files, XML, JSON, LDAP, JDBC, and ODBC. It provides powerful data transformation for heterogeneous databases, big data, and ETL for Oracle databases, including Oracle Exadata.

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  • Talend provides a single software platform, Talend Data Fabric, which combines the company’s data integration solutions, namely, Talend Data Integration, Talend Big Data Integration, and Talend Open Studio for Data Integration and Cloud Integration, with a common development and management environment. The company’s commercial products are available on the user-based subscription pricing model.

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    3.2
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  • Information Builders offers Omni-Gen and iWay integration suite as a solution in the burgeoning data integration market. The iWay big data integration suite encompasses iWay DataMigrator, iWay Service Manager, and iWay Universal Adapter Framework, which is capable of handling both structured as well as unstructured data. The data integration software offers an interface for Hadoop and Spark data ingestion, transformation, Change Data Capture (CDC), and enrichment and cleaning of big data sources.

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    3.2
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  • Actian Corporation offers DataConnect, DataCloud, and Business Xchange as its product offerings in the data integration market. Actian Database offers the hybrid integration solution, which makes data integration easy on the cloud, on-premises, and in hybrid environments. The features and capabilities of the software include the Integrated Development Environment (IDE), which is instrumental in capturing, storing, and querying any type of data, such as Structured Query Language (SQL) or No Structured Query Language (NoSQL) using relational objects or embedded databases.

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    3.2
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  • SAP offers SAP Data Services, a premium product offering to the data integration market. It is a data management software, which offers comprehensive functionalities, such as data integration, cleansing, and maintaining adequate quality of the data. This data integration high-performance software offers ample flexibility to business users, to gain the advantage of the data captured from on-premises, as well as, cloud sources.

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    EXPERTS
    3.2
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  • SAS offers SAS data management and SAS data integration server, as a part of data integration product offerings in the marketspace. The SAS software is designed to cleanse and integrate data from any disparate sources, such as data stored in the legacy systems of enterprises and data stored in Hadoop. The company offers easy access to Hadoop via technologies, such as Pivotal HAWQ or Impala.

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    3.0
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    3.0
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  • Denodo is a data virtualization platform, which delivers all data virtualization capabilities on a single platform. It enables users to connect with disparate data sources, define data transformations and combinations according to their business requirements, and deliver data services in real-time to their enterprise platforms. It facilitates data processing capabilities to different categories of users, such as business users with self-service data discovery and search, enterprise architects, and developers.

    BUYER
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    EXPERTS
    2.9
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    2.9
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    2.8
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  • Attunity provides a number of data integration and related products, namely, Attunity Replicate, Attunity CloudBeam, Attunity Connect, Attunity Gold Client, Attunity Managed FileTransfer, and Attunity RepliWeb. Attunity Replicate is the data replication solution, which provides high-performance data replication and loading, through a user interface. It automates the end-to-end replication process and can be integrated with Apache Kafka APIs to deliver data to HBase, Cassandra, Couchbase, MongoDB, and other big data platforms, in addition to database, data warehouse, and Hadoop and cloud storage.

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    2.7
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  • Syncsort offers DMX-h as its product offering in the data integration market. The software is designed to collect, prepare, blend, transform, and distribute the data in the minimum time possible. The ETL software allows data to be collected from numerous data sources, which include files, such as JSON, XML, Hadoop HDFS, and databases, such as Greenplus SQL server, Netezza, Oracle, Sybase, and Teradata.

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    2.6
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    2.5
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  • Cisco offers Cisco Data Virtualization platform as well as Cisco Information Server (CIS) as its prime offerings to the data integration market. The platform allows organizations to integrate the cloud as well as on-premises data, to gain comprehensive insights from the consolidated data. Cisco’s Cloud Data Virtualization offers easy integration with SaaS applications, such as salesforce.com and IaaS cloud-hosted applications, such as Oracle, eBusiness, and SAP.

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    2.5
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    2.5
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  • Pitney Bowes offers data management and integration portfolio, which comes with numerous modules, such as Spectrum Data Federation, Sagent Data Flow, Spectrum Business Steward Module, Spectrum Data Discovery Module, and Spectrum Enterprise Data Integration Module. The chief technical capabilities of the data management and integration portfolio include data visualization, data governance workflows, and policy management.

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    2.4
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    2.0
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    1.8
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  • HVR is deployed and consumed as a single solution (All-in-one Box), which comprises multiple features, covering the end-to-end deployment and data monitoring. HVR supports a wide array of heterogeneous sources and targets, which facilitate the replication of data at scale, whether on-premises or over the cloud.

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    1.8
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Questions & Answers

1. Data Integration Market is a vast market and is connected to many others. How do I track down its dependencies and effects on other markets?

2. How do I find out the best emerging usecases in Data Integration Market that can be advantageous for my industry?

3. Different parameters are considered while analysing the companies in Data Integration Market. What is the criteria to find out the ones that are most important?

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