Magic Quadrant for Operational Database Management Systems 2019

“By 2023, 75% of all databases will be on a cloud platform — a development that will drastically change the DBMS vendor landscape.”

Gartner Defines - The operational database management system (OPDBMS) market has been defined by relational and nonrelational DBMS products suitable for the traditional transactions used to support business process applications, both purchased (such as ERP and CRM applications) and custom-made. Also includes DBMS products that support interactions and event processing (data in motion).

Microsoft (Azure SQL, SQLDW, Cosmos...), Oracle, AWS (DynamoDB, ElastiCache, Neptune, Timestream, RDS, Redshift & EMR),  Google (Cloud Spanner RDBMS, Cloud Bigtable, Cloud Firestore...),  SAP (SAP SQL, HANA...) and InterSystems are the leaders in "Magic Quadrant for Operational Database Management Systems 2019".

Check out for Cassandra/Datastax, Marklogic, IBM and PostGre/EnterpriseDB.

The Forrester Wave™: Enterprise BI Platforms (Vendor-Managed), Q3 2019

Augmented BI And Extensibility Are Key Differentiators For All Enterprise BI Platforms

augmented BI, which includes machine learning and conversational UIs, such as natural language query (NLQ) and natural language generation (NLG); platform extensibility and customization capabilities; overall technical architecture; features necessary to work with big data; built-in data preparation; deployment options, including cloud, on-premises, and mobile; and multiple other features.

Microsoft, TIBCO Software, Salesforce, Oracle, Tableau, And Sisense Lead The Pack in "The Forrester Wave™: Enterprise BI Platforms (Vendor-Managed), Q3 2019"

Gartner Magic Quadrant for Industrial IoT Platforms 2019

By 2023, 30% of industrial enterprises will have full, on-premises deployments of IIoT platforms, up from 15% in 2019.

Gartner defines the industrial Internet of Things (IIoT) platform market as a set of integrated software capabilities to improve asset management decision making and operational visibility and control for plants, infrastructure and equipment within asset-intensive industries and environments.

Check out "Gartner Magic Quadrant for Industrial IoT Platforms"

The Forrester New Wave™: Automation-Focused Machine Learning Solutions, Q2 2019

Whether you want to empower non-data scientists to build predictive models or boost your existing data scientists’ productivity, automation-focused machine learning (AutoML) solutions are quickly becoming a must-have for every organization looking to scale ML use. These tools automate the end-to-end life cycle of developing and deploying predictive models — from data prep through feature engineering, model training, validation, and ModelOps.Forrester believes most organizations can benefit from a standalone AutoML solution, and we expect this market to grow substantially as products get better and awareness increases of how these tools fit in the broader data science, ML, and AI landscape.

DataRobot, H2O.ai, And dotData Lead The Pack in "The Forrester New Wave™: Automation-Focused Machine Learning Solutions, Q2 2019"

Gartner Magic Quadrant for Managed Security Services, Worldwide 2019

Managed security services is a market that is diversifying to meet the demands of a wide range of buyers. Security and risk management leaders should identify providers best aligned to their requirements, security maturity, and organization’s vertical, size, and geographic footprint.

Market Definition/Description
Gartner defines managed security services (MSSs) as:

• The remote 24/7 monitoring of security events and security-related data sources
• The administration and management of IT security technologies
• The delivery of security operation capabilities via shared services from remote security operations centers (SOCs), not through on-site personnel nor remote services delivered on a one-to-one basis to a single customer

Secureworks, Trustwave, Verizon, Symantec & IBM are the leaders in "Gartner Magic Quadrant for Managed Security Services, Worldwide 2019"

The Forrester New Wave™: Standalone Chatbots for IT Operations, Q2 2019

Chatbot Readiness And Predefined Integrations Are Key Differentiators

Forrester found that out-of-the-box (OOB) workflows, language, intent models, and integrations dedicated to IT operations use cases are key differentiators for Leaders in this space. Advanced capabilities such as uncertainty scoring, proactive improvement guidance, and active pathing proved consistent among the strongest performers in language development, which is crucial for successful IT operations use cases.

Forrester’s research uncovered a market in which IPsoft, Serviceaide, and Avaamo are Leaders; EdgeVerve and Kore.ai are Strong Performers; Botpress and Inbenta Technologies are Contenders; and SnatchBot is a Challenger in "The Forrester New Wave™: Standalone Chatbots for IT Operations, Q2 2019"

Gartner Magic Quadrant for Data Quality Tools - 2019

Data quality is vital to achieving the most important and urgent digital business priorities. In Gartner’s 2018 CEO survey, 64% of respondents said they have management initiatives or transformation programs to make their business more digital (see “2018 CEO Survey: CIOs Should Guide Business Leaders Toward Deep-Discipline Digital Business”). The same survey found that CEOs expect digital revenue to grow by 10.3% between 2017 and 2020.

The term “data quality” relates to the processes and technologies for identifying, understanding and correcting flaws in data that support effective information governance across operational business processes and decision making. The packaged tools available include a range of critical functions, such as profiling, parsing, standardization, cleansing, matching, enrichment and monitoring.

Informatica, SAP, IBM, SAS, Talend, Oracle, Syncsort are the leaders in "Gartner Magic Quadrant for Data Quality Tools - 2019".

The Forrester Wave™: Big Data NoSQL, Q1 2019

NoSQL covers a range of nonrelational databases, such as key-value, document, and graph databases, that are optimized for a new generation of business apps, including social media, customer 360, advanced insights, real-time, and operational apps. NoSQL vendors are delivering innovative features, such as AI and machine learning automation, integration with Apache Spark and streaming technology, support for SQL and simplified APIs, and extensive administrative tools.

Forrester defines big data NoSQL as:
A nonrelational database management system that provides storage, processing, and accessing of any type of data and which supports a horizontal, scale-out architecture based on a schemaless and flexible data model.

MongoDB, Microsoft (Azure Cosmos DB), Couchbase, AWS(DynamoDB), Google (Cloud Firestore), And Redis Labs Lead The Pack in "The Forrester Wave™: Big Data NoSQL, Q1 2019"

The Forrester Wave™: Master Data Management, Q1 2019

The first generation of MDM served to consolidate customer, product, or financial information across multiple systems of record, such as when M&A activity resulted in multiple enterprise resource planning  (ERP) systems. Data quality and compliance were the main features of first-generation MDM.

The internet of things has led to systems of automation and systems of design, which introduce new MDM usage scenarios to support co-design and the exchange of information on customers, products, and assets within ecosystems. This is ushering in a third generation of MDM for which flexibility, data virtualization, and data syndication are key, with more stakeholders involved in governing data.

Informatica, Reltio, And EnterWorks Lead The Pack in "The Forrester Wave™: Master Data Management, Q1 2019". Check out for Stibo, SAP, IBM ..etc

https://www.enterworks.com/resources/2019-forrester-wave-mdm/

2019 “Magic Quadrant for Digital Experience Platforms”

By 2021, 90% of global organizations will rely on system integrators (SIs), agencies and channel partners to design, build and implement their digital experience strategies.

A digital experience platform (DXP) is an integrated set of core technologies that support the composition, management, delivery and optimization of contextualized digital experiences. DXPs entail a high degree of emphasis on interoperability and cross-channel continuity across the entire customer journey.

Many DXPs also incorporate artificial intelligence (AI) and machine learning (ML) into their products. Multichannel support remains critical across all channels, both mainstream (web, mobile web) and emerging (IoT, VR/AR, wearables, conversational interfaces, etc.).

IBM (Digital Experience Manager), Sitecore, Adobe (Experience Cloud), Salesforce (Community Cloud and Lightning Platform) and Lifeary are the leaders in "2019 Magic Quadrant for Digital Experience Platforms” .

The Forrester Wave™ Cloud Hadoop/Spark Platforms Q1 2019

Modern enterprises are insights driven. They have to serve customers, scale, adapt, and compete — all with great efficiency. The veracity, timeliness, and scope of their insights will determine enterprise winners and losers. The perennial challenge faced by business insights pros is to turn the data-to-insights wheel faster. That “wheel” includes data acquisition, data security, data transformation, data governance, data exploration, analytics, and machine learning that is massively scalable, performant, and fault tolerant.

Hadoop is more than 10 years old. It has gone from a batch-oriented storage, processing, and highly programmatic data platform to become a cloud-enabled, highly interconnected analytical platform.

Forrester defines enterprise Cloud Hadoop/Spark (HARK) platforms as:

Distributed computing software and services that are rooted in open source Apache Hadoop and Apache Spark to ingest, store, process, manage, and analyze data to generate insights that drive business outcomes.

AWS (EMR, RDS..), Hortonworks, Cloudera and Microsoft (Azure HDInsight) are the leaders in “The Forrester Wave™ Cloud Hadoop/Spark Platforms Q1 2019”, Google (DataProc, Cloud Platform services such as BigQuery and BigTable) is almost there.

Gartner magic quadrant for analytics and business intelligence platforms 2019

"By 2020, augmented analytics will be a dominant driver of new purchases of analytics and business intelligence, data science and machine learning platforms, and embedded analytics.Also 50% of analytical queries either will be generated via search, natural language processing or voice, or will be automatically generated."

Modern analytics and business intelligence (BI) platforms are characterized by easy-to-use tools that support the full analytic workflow — from data preparation and ingestion to visual exploration and insight generation. Most modern analytics and BI platforms also have their own self-contained in-memory columnar engine to ensure fast performance and support rapid prototyping, but many can optionally use existing modeled data sources.

Microsoft, Tableau, Qlik and ThoughtSpot are the leaders in "Gartner magic quadrant for analytics and business intelligence platforms 2019". Check out for SAP, IBM, SAS, MSTR, Oracle etc.

Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms

“Expert data scientists prefer to code data science models in Python or R, or to build and run data models in notebooks. Other users are most comfortable building models by using a point-and-click UI to create visual pipelines. Hype about AI is at its peak, but AI must be distinguished from data science and ML. Of course, data science is a core discipline for the development of AI, and ML is a core enabler of AI, but this is not the whole story. ML is about creating and training models; AI is about using those models to infer conclusions under certain conditions.”

Gartner define a data science platform as:

A cohesive software application that offers a mixture of basic building blocks essential for creating all kinds of data science solution, and for incorporating those solutions into business processes, surrounding infrastructure and products.

Knime, RapidMiner, Tibco Software (acquired… Statistica and Alpine Data) and SAS are the leaders in "Magic Quadrant for Data Science and Machine Learning Platforms 2019", check out Alteryx and DataIku.. Open Source based Anaconda, Conda libraries..

Gartner’s 2019 Magic Quadrant for Data Management Solutions for Analytics

Disruption slows as cloud and non-relational technology take their place beside traditional approaches, the leaders extend their lead, and distributed data approaches solidify their place as a best practice for DMSA (Data Management Solutions for Analytics).

Gartner defines a data management solution for analytics (DMSA) as a complete software system that supports and manages data in one or many file management systems, most commonly a database or multiple databases. These management systems include specific optimization strategies designed for supporting analytical processing — including, but not limited to, relational processing, non-relational processing (such as graph processing), and machine learning or programming languages such as Python or R. Data is not necessarily stored in a relational structure, and can use multiple data models — relational, XML, JavaScript Object Notation (JSON), key-value, graph, geospatial and others.

Oracle, Microsoft-Azure, Amazon-AWS, SAP, Teradata, Snowflake, Google-GCP and IBM (blue suite) are the leaders in “Magic Quadrant for Data Management Solutions for Analytics”. Check out for the Niche Player category..

The Forrester Wave™: Enterprise Insight Platforms, Q1 2019

Enterprise insight platforms help CIOs address the continual business demand to go faster in the face of technology complexity.
Forrester defines an enterprise insight platform as: An integrated set of data management, analytics, and development tools that provide a general, enterprise-class platform for building systems of insight.

Forrester's research uncovered a market in which IBM, Microsoft, and SAS are Leaders; Google, SAP, TIBCO Software, and GoodData are Strong Performers; Reltio is a Contender; and EdgeVerve is a Challenger in "The Forrester Wave™: Enterprise Insight Platforms, Q1 2019"

The Forrester Wave™ Strategic iPaaS And Hybrid Integration Platforms, Q1 2019

Forrester’s research uncovered a market in which TIBCO Software, Workato, Dell Boomi, Software AG, MuleSoft, and SnapLogic are Leaders; Liaison Technologies, Jitterbit, Talend, IBM, Adeptia, Pantheon, and Axway are Strong Performers; Red Hat is a Contender; and Microsoft is a Challenger. "The Forrester Wave™ Strategic iPaaS And Hybrid Integration Platforms, Q1 2019"