Data Integration - Further Information

In this report, we discuss the data integration market and seek to highlight vendors that we consider best-of-breed.

Astera provides an easy-to-use data integration solution that is supported by a collection of (generative) AI capabilities.

The Actian Data Platform offers effective integration as a service, within a much broader data ecosystem solution, alongside robust data quality functionality.

Striim offers a unified, enterprise-level combination of continuous data integration, real time CDC, stream processing and streaming analytics.

Fivetran is a fully managed, cloud-native solution for automated data movement, most notably data integration.

Dataddo is a fully-managed, no-code data integration platform that offers business users easy access to data integration while still accommodating developers.

SnapLogic has data integration capabilities that support data fabric and data mesh.

The K2view Data Product Platform is a unified data management platform that offers numerous capabilities, including test data management.

Teradata ClearScape Analytics refers to the analytic capabilities that are available within Teradata Vantage and that underpin all Vantage deployment options.

Fivetran is a fully managed, cloud-native solution for automated data movement that leverages ELT technology alongside micro-batch-based CDC synchronisation.

This paper highlights the benefits of bringing together Software AG’s recently acquired StreamSets and previously existing CONNX data integration technologies.

Voracity’s key strength is its ability to not just deliver broad data integration and transformation functionality, but to deliver it within a unified, centralised, integrated platform.

This document discusses the five most important qualities that a data integration solution should strive for in 2023.

This report examines and evaluates the InterSystems IRIS Data Platform.

How can Gathr’s data integration and engineering solution help you to migrate into the cloud, especially in the context of the telecommunications industry?

In this paper, we discuss and compare a selection of prominent data integration solutions, namely those provided by Fivetran, Gathr, Informatica and Matillion.

This paper describes and evaluates Fivetran’s solution for data integration.

This paper describes and evaluates Gathr’s solution for data integration.

This paper describes and evaluates Informatica’s solution for data integration.

This paper describes and evaluates Matillion’s solution for data integration.

Gathr is a self-service-oriented data pipeline platform, and more specifically, an all-in-one platform for creating, managing, and deploying data pipelines.

Informatica offers stream processing as part of Intelligent Data Management Cloud (IDMC), a broad, cloud-ready, and well-integrated data management platform.

Striim offers enterprise-level, continuous, and real-time data integration, CDC, and stream processing, including streaming integration and analytics.

GenRocket is a platform for enterprise-level test data automation that offers high-end synthetic data generation.

Software AG CONNX provides mainframe and legacy-oriented data integration, connectivity, data virtualisation and replication capabilities.

The basic concept behind the Talend Data Fabric is to allow you to collect, govern, transform, and share your data.

The Qlik Data Integration Platform is essentially a melding of the capabilities provided through the acquisitions of Podium Data and Attunity.

Oracle’s data management capabilities span the establishment of (cloud-based) data warehouses and data lakes.

The Intelligent Data Platform encompasses data integration, quality, governance, MDM, cataloguing, privacy, application integration, and more.

IBM Cloud Pak for Data places particular emphasis on deploying, developing and managing AI and machine learning models.

The Lumada DataOps Suite from Hitachi Vantara supports everything from ingestion through to analysis and dashboards.

Cloudera Data Platform offers data integration, data governance, data cataloguing and transformation capability but not data quality per se.

Ataccama ONE encompasses data integration, data cataloguing, data profiling and data quality, and both reference and master data management.

MarkLogic Data Hub is a fully cloud-native platform for data storage, integration, operationalisation and governance.

This Market Update examines and compares pure-play data integration, as opposed to solutions that are more platform-oriented.

CloverDX describes its flagship product as an enterprise data management platform. In practice, its capabilities hew closer to data integration.

Matillion ETL is a cloud-native data integration tool. However, it is misnamed: it should really be Matillion ELT.

Fivetran is a fully managed cloud-native data integration solution that offers ELT technology with ongoing synchronisation.

Astera Centerprise is a data integration solution for environments with complex requirements, which can be extended with Astera ReportMiner and EDIConnect.

Actian DataConnect is a (data) integration offering the intent of which is to allow anyone to connect anything, anywhere, at any time.

SnapLogic's Intelligent Integration Platform supports both application integration and API integration as well as data integration.

Powered by CoSort (or Hadoop), and built on Eclipse, IRI Voracity is a multi-purpose data management platform.

The 4th Edition of our research into the uses and costs of data integration tools.

In this paper, we have identified the potential significance of a wide range of data-based technologies that impact on the move to a data-driven environment.

This paper discusses why data lakes need to be managed and the sorts of capabilities that are required to manage them.

Data Integration should be at the heart of data architecture modernisation initiatives such as next generation analytics, application modernisation etc.

I am going to be having a live discussion about getting value from data integration tools: come and listen!

There is a surprising lack of primary research to support any kind of claim with regards to the cost of, or cost-effectiveness of, data integration solutions.

This paper examines the issues facing data integration tools today and in the near future.

In this paper we will consider what is required to enable cloud-managed integration from a technical perspective.

Talk to any vendor in the data integration market and they will tell you that their biggest competitor is hand coding. Why? The simple answer is...

IBM’s data integration products provide three methods for delivering data: ETL (extract, transform and load), which provides bulk (batch) data loading functionality; data federation, which supports virtual data delivery; and data replication, which allows incremental updates. The use of ETL…

The full report is now available. We identify how to save an average of $170,000 per project.

This paper is is about data exchange and the ability to share information.

Talend is established as the leading open source provider for data integration and the introduction of a unified data management solution represents a major step forward for the company.

Our results show dramatic, and surprising, differences between vendors and products in both overall TCO and in cost per project and cost per source and target s

Unified and integrated products have generic advantages over best-of-breed approaches and unified platforms intrinsically have advantages over suites that are merely integrated.

Almost all projects involve data integration these days, because nearly every IT project involves multiple applications and databases.

expressor is a data integration tool that also provides significant capabilities to support data stewardship. However, it differs significantly from other products in the market.

Historically, data migration projects have been prone to time and cost overruns and, in some cases, outright failures. However, that doesn

Talend Open Studio is worth serious consideration in more or less all circumstances.

We have recently completed some primary research into the data integration market and this article highlights some of the results.

This paper examines how data integration platforms are being used: what types of integration tasks they are being used for, on what scale, and whether this differs by product or vendor.

In this paper we consider the requirements of GRC, paying particular attention to risk, and discuss the dangers and costs involved in not having information when you need it.

Data migration is a very large subset of the data integration market. According to our research the market for data migration was significantly in excess of $5bn last year.

dn:Director from Datanomic is a single product with a single repository that encompasses all of the sorts of facilities that are needed for data quality purposes.