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The Leaders
“The Leaders quadrant includes five traditional large vendors that have had to adapt to this rapidly changing market,” Gartner notes. “This year the push for cloud has affected the relative ratings among the Leaders and has also led to the inclusion of market disruptor AWS. The data warehouse is usually the largest data management system in most organizations and the market for them is therefore large in terms of revenue, trained professionals and the variety of data management solutions (ranging from simple to complex). However, while data warehousing continues to be a major use case it has declined in importance, forcing the leading vendors to address new trends — such as data lakes and context-independent data warehouses — focusing on data science uses cases.”
Amazon Web Services
“AWS offers Amazon Redshift, a data warehouse service in the cloud; Amazon Simple Storage Service (S3) and Amazon Elastic MapReduce (EMR); and most recently, Amazon Athena, a server-less, metered query engine for data residing in Amazon S3,” Gartner says. “AWS is the dominant cloud vendor in this market by a significant margin, with only Microsoft Azure even close in terms of market share and presence. AWS offers several different services that can be used for different DMSA use cases. This approach allows customers to select only those capabilities needed for a defined use case, and the cloud nature of all the services helps to reduce the complexity of supporting multiple products.”
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“IBM's current offerings include the traditional solutions of stand-alone DBMS, DB2 LUW, DB2 for z/OS appliances (IBM PureData System for Analytics, IBM PureData System for Operational Analytics, and IBM DB2 Analytics Accelerator); Hadoop, through IBM BigInsights; and managed data warehouse services,” Gartner explains. “The dbPaaS IBM dashDB offering adds a private cloud capability. IBM DataFirst Method and IBM Watson Data Platform support further evolving hybrid cloud and on-premises deployment and management. Customer references report performance, a good balance of platform capability and open-source combined, and technical account management as strengths for IBM in 2016.”
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“Microsoft offers SQL Server as a software-only solution, with certified configuration and a data warehouse appliance (Analytics Platform System, an MPP data warehouse appliance),” Gartner says. “It also offers Azure SQL Data Warehouse, Azure HDInsight (Hadoop distribution based on Hortonworks) and Azure Data Lake as cloud services. Microsoft demonstrates strong market understanding with regards to the cloud. With Azure SQL Data Warehouse it addresses the growing interest in cloud data warehousing, but also hybrid on-premises and cloud use cases, and begins to demonstrate hybrid capabilities with stretch tables. With Azure Data Lake supporting Apache Spark and U-SQL, it forms the basis of the LDW implementation in the cloud and supports data of multiple formats and various types of processing.”
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“Oracle provides the Oracle Database 12c, the Oracle Exadata Database Machine, the Oracle Big Data Appliance, the Oracle Big Data Management System, Oracle Big Data SQL and Oracle Big Data Connectors,” Gartner explains. “Oracle Cloud provides Oracle Database as a Service, Oracle Exadata Cloud Service, and Oracle Big Data Cloud Service. Oracle has been a leader in DBMS technologies for decades, and its capabilities make it one of the two most prominent vendors in the DMSA market. With its Big Data SQL, Oracle extends its reach to a number of Hadoop distributions; providing not only virtual access, but also advanced features such as predicate push down to the target platforms.”
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“SAP offers both SAP IQ and SAP Hana. SAP IQ, is a column-store DBMS available as a stand-alone DBMS,” Gartner says. “SAP Hana is an in-memory column-store DBMS that supports operational and analytical use cases; it is also offered as an appliance (from more than a dozen hardware vendors), a cloud solution (public and private and SAP Cloud Platform, of which SAP Hana is one component) and a reference architecture (SAP Hana tailored data center integration [TDI]). SAP has been enriching SAP Hana with new enhancement releases about every six months, now including stronger HA/DR capabilities, multitenant in the DBMS, streaming data, built-in analytics, integration with and extension of Spark with the SAP Hana Vora in-memory engine, and a strong data tiering capability based on SAP IQ.”
“Teradata's offerings include a DBMS solution, data warehouse appliances and a cloud data warehouse solution (all MPP) — both on its own managed cloud and on public cloud provider infrastructure such as AWS and Azure,” Gartner says. “Teradata also offers Aster Analytics and Hadoop support via all three major distributions, as well as analytic consulting services. Teradata's ability to integrate with multiple data sources (including Hadoop and streaming data via Teradata Listener), to provide a unified query interface (via QueryGrid and Presto), and to deploy in multiple environments and form factors (including appliances, software and the cloud) demonstrate its market leadership in product capabilities and a strong vision for the future.”

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The Challengers
“This year, Challengers have been focusing on execution over vision,” Gartner says. “Customer satisfaction, value for money and the ability to address unique demands have all affected the execution ratings of these vendors. For the 2017 Challengers, the key to success will be to continue to invest in great execution and to differentiate based on what has made success possible thus far or has enabled their progress in Completeness of Vision. Progressing on both fronts at the same time can prove challenging for smaller vendors; less so for the large ones.”
“Cloudera offers Cloudera Enterprise — an Apache Hadoop distribution that combines components of Apache Hadoop and Spark, but also delivers its own components such as Cloudera Navigator for data governance, Cloudera Manager and Cloudera Director for cluster administration on-premises and in the cloud, Impala for SQL access and Kudu for analytics on transactional data,” Gartner says. “Cloudera's platform is available both on-premises and across multiple cloud environments (such as AWS, Microsoft Azure or Google Cloud Platform), including with cloud-native support for object stores. Among all Hadoop distributions, Cloudera is the most successful in this market based upon Gartner's published revenue numbers, partner traction and Gartner end user clients' reported interest — demonstrating an ongoing year-over-year trend.“
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“Google offers BigQuery on its Google Cloud Platform as a managed, in-memory query execution engine — along with its adjacent products in order to provide a cloud-based data management solution for analytics,” Gartner says. “Google BigQuery is a cloud-based solution for data management for analytics and this has broad market appeal. It also has a signficant following in the cloud for multiple markets and therefore benefits from strong recognition of the Google brand. Importantly, Google has overtaken many of the "veteran" providers in this market during its first year of inclusion in the Magic Quadrant.”
Hewlett Packard Enterprise
“HPE offers Vertica Enterprise Edition, a columnar relational DBMS that is delivered as a software only solution, certified configuration (HPE Converged System Reference Architectures), and cloud (HPE Vertica Machine Images for the Cloud) for AWS and Microsoft Azure with a bring-your-own-license model,” Gartner explains. “HPE has been refocusing its technology portfolio around Vertica as the delivery platform for analytical use cases. This has resulted in a product vision that articulates the major trends in the market and applies them to Vertica. For example: its cloud vision, integrating with Spark, or in-database execution of algorithms.”
“MemSQL offers a distributed SQL scale-out DBMS with an in-memory row store along with a memory and disk-based column store that supports transaction and analytic use cases,” Gartner says. “MemSQL extends the DBMS platform to include real-time analytics with streaming data via Apache Spark or Apache Kafka. MemSQL's platform supports operational, analytic and real-time streaming use cases, making it ideal for a wide range of DMSA applications. Half of MemSQL's reference survey respondents also report using the platform for transactional use cases. Customer references also praised the availability of a community edition that makes it easy to adopt the technology before committing to the enterprise edition.”