The Forrester New Wave™: Enterprise Container Platform Software Suites, Q4 2018

The Forrester New Wave differs from traditional Forrester Wave™. The New Wave only evaluates emerging technologies, and this time its extreme containerization.

Enterprise container platforms provide a container-based development environment with container execution, orchestration, integration, security, and management capabilities designed to provision and control container clusters across multiple on-premises and cloud infrastructure platforms.

The report evaluated eight vendors across following categories:

ü  Runtime and orchestration

ü  Image management

ü  Operations management

ü  Security features

ü  User experience

ü  Integrations and APIs

ü  Vision

ü  Market approach

Forrester's research uncovered a market in which Docker, Red Hat, and Rancher Labs are Leaders; Pivotal, Mesosphere, and IBM are Strong Performers; and SUSE and Platform9 are Contenders in "The Forrester New Wave™: Enterprise Container Platform Software Suites, Q4 2018"

The Forrester Wave™: Omnichannel Order Management Systems, Q3 2018

Digital Strategy Pros Are Looking For Order Control And Business Optimization. Order Orchestration, Store Fulfillment, And Advanced Analytics Are Key Differentiators. As omni-channel customer journeys become more complex, improved order orchestration, store fulfillment, and advanced analytics will dictate which providers will lead the pack.

 

Forrester defines omnichannel commerce as: “The coordination of traditional channels (marketing, selling, and fulfillment) and supporting systems to create a seamless and consistent customer experience.”

Enterprise-level inventory visibility, Distributed order management (DOM), Customer service & Store fulfillment are the key.

 

Manhattan Associates And IBM Lead The Pack in "The Forrester Wave™: Omnichannel Order Management Systems, Q3 2018" ; Oracle NetSuite, Oracle, Aptos, and Magento are Strong Performers; Digital River, Radial, and Jagged Peak are Contenders; and Kibo is a Challenger.

“The Forrester Wave™: Multimodal Predictive Analytics And Machine Learning Solutions, Q3 2018.”

“Machine learning is an elemental core competency that every enterprise must have. The reasons are many. Machine learning gives enterprises the power to predict. It is a fundamental building block to AI.”

 

Forrester defines enterprise PAML (Predictive Analytics And Machine Learning) as: Software that provides enterprise data scientist teams and stakeholders with

1) Tools to analyze data;

2) Workbench tools to build predictive models using statistical and machine learning algorithms;

3) A platform to train, deploy, and manage analytical results and models; and

4) Collaboration tools for extended enterprise teams, including businesspeople, data engineers, application developers, DevOps, and AI engineers.

 

SAS, IBM and RapidMiner Lead The Pack in “The Forrester Wave™: Multimodal Predictive Analytics And Machine Learning Solutions, Q3 2018.”. Check out for KNIME, SAP, Datawatch, TIBCO Software, and Dataiku..

Magic Quadrant for Metadata Management Solutions - 2018

“By 2020, most data and analytics use cases will require connecting to distributed data sources, leading enterprises to double their investments in metadata management.”

 

Market Definition/Description: Metadata management is about an organization’s management of its data and information assets. Metadata describes the various facets of an information asset that can improve its usability throughout its life cycle. Enterprise metadata management (EMM) encompasses the roles, responsibilities, processes, organization and technology necessary to ensure that the metadata across the enterprise adds value to that enterprise’s data.

 

Informatica, Collibra, Alation, Smartlogic, Datum, IBM, Oracle, Alex Solution and ASG Technologies are the leaders in “Magic Quadrant for Metadata Management Solutions - 2018”

Gartner Magic Quadrant for Data Integration Tools 2018

Gartner estimates that the data integration tools market generated more than $2.9 billion in software revenue (constant currency) at the end of 2017, and the market is expected to approach $4.5 billion in 2022.

 

(Data Integration Tools) Market Definition/Description: The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types. This integration takes place in the enterprise and beyond the enterprise — across partners and third-party data sources and use cases — to meet the data consumption requirements of all applications and business processes. Enterprise, the demand for traditional data integration capabilities alongside the demand for innovative solutions requires robust, consistent delivery of highly developed solutions. Similarly, data integration tools interoperate and integrate with master data tools, data governance tools and data quality tools.

 

Informatica, IBM, SAP, SAS, Talend, Oracle are the leaders in "Gartner Magic Quadrant for Data Integration Tools 2018". Check out for Denodo, Attunity.

The Forrester Wave™: Machine Learning Data Catalogs, Q2 2018

MLDCs (Machine Learning Data Catalogs) Are The Stepping Stone For The Intelligent Business

Data Pros Are Looking For Data Understanding That Everyone Can Access: The MLDC market is growing because firms want to scale data to the masses through selfservice. However, back-end data management technology can’t support tribal knowledge, provide a good user experience (UX) for data consumers, and scale across a highly federated data ecosystem. MLDCs solve this and scale elastically by leveraging their machine learning (ML) capabilities. Machine Learning, Collaboration, And Activation Are Key Differentiators

 

IBM, Reltio, Unifi Software, Alation, And Collibra Lead The Pack in "The Forrester Wave™: Machine Learning Data Catalogs, Q2 2018". Check out Informatica, Waterline, Horton..etc

The Forrester Wave™: AI-Based Text Analytics Platforms Report Q2 2018

Complex Concept Extraction Is A Key Differentiator
As basic, mostly keyword-extraction-based technology becomes outdated and less effective, improved complex concept extractions (emotion, effort, intention, risk, and fraud-level tagging) will dictate which providers lead the pack. Vendors that can provide these advanced features position themselves to successfully deliver enterprisegrade text analytics solutions to their customers.


The AI-based text analytics platforms market is growing because more companies see turnkey solutions as a way to address their top text analytics challenges. This market growth is in large part due to AD&D pros increasingly preferring to buy rather than build text analytics solutions.


Forrester’s research uncovered a market in which Clarabridge, IBM, SAS, and Micro Focus lead the pack. OpenText, Attivio, Expert System, and EPAM Systems offer competitive options.