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.