13 data analytics providers our editors follow
Our 2021 DBTA 100 coverage includes 12 data analytics providers that our editors track. For a larger list, see our Directory of business intelligence solutions.
Database Trends and Applications recently released its DBTA 100 2021, an annual list of data, information management, big data and data science companies preparing for the future. The list covers the spectrum of “well established and leading edge” solution providers delivering data platforms, tools and technologies to organizations around the world. Some of the vendor entries are published alongside View from the top articles written by executives of the companies themselves.
Solutions Review editors have taken the 2021 DBTA 100 with a fine tooth comb to identify the data analytics vendors that matter most. Think of it as an overview of the solution providers we follow in our daily coverage of the market. You can even find some of these company names below in our Buyer’s Guide for Analytics and Business Intelligence Platforms.
Ahana offers big data analytics with capabilities that allow users to run ad hoc analytics on open source PrestoDB. Its main offering is Ahana Cloud, a fully integrated managed service for AWS. The product offers self-service SQL analytics for data analysts, data engineers, data scientists, and product managers. It also includes in-VP managed services, flexible integration of data sources and catalogs, and Presto-as-a-data-warehouse functionality. Ahana Cloud can be purchased through a pay-as-you-go model so that you only pay for what you use.
Alteryx is a self-service data analysis software company specializing in data preparation and blending. Alteryx Analytics enables users to organize, cleanse, and analyze data in a repeatable workflow. Business analysts find this tool especially useful for connecting and cleaning up data from data warehouses, cloud applications, spreadsheets, and other sources. The platform offers tools to perform a variety of analytical tasks (predictive, statistical, spatial) within a single interface.
Dataiku offers an advanced analytics solution that allows organizations to build their own data tools. The company’s flagship product offers a team-based user interface for data analysts and data scientists. Dataiku’s unified development and deployment framework provides immediate access to all of the functionality needed to build data tools from scratch. Users can then apply machine learning and data science techniques to build and deploy predictive data flows.
Databricks provides a unified analytics platform that enables users to prepare and cleanse data at scale and continuously train and deploy machine learning models for AI applications. The product handles all analytical deployments, ranging from ETL to training and model deployment. It is also available as a fully managed service on Microsoft Azure and Amazon Web Services.
The GoodData platform enables the creation, delivery, and automated management of large-scale analytics that enable organizations to deliver information to customers, partners, and other users. GoodData is designed to support any analytical product roadmap and enables customers to offer their partners any data source, visualization, interaction model, or integration they need. The tool offers analytics and expertise to operationalize smart decisions within business applications and business processes.
IBM offers a wide range of BI and analytics capabilities under two distinct product lines. The Cognos Analytics platform is an integrated, self-service solution that enables users to access data to create dashboards and reports. IBM Watson Analytics provides a machine-learning-based user experience that includes automatic pattern discovery, support for natural language queries and generation, and built-in advanced analytics capabilities. IBM’s BI software can be deployed both on-premises or as a hosted solution through IBM Cloud.
Microsoft is a major player in BI and business analytics. The company’s flagship platform, Power BI, is cloud-based and delivered on the Azure cloud. On-premises functionality also exists for individual users or when power users create complex data mashups using internal data sources. Power BI is unique in that it allows users to perform data preparation, data discovery, and dashboards with the same design tool. The platform integrates with Excel and Office 365 and has a very active user community that extends the capabilities of the tool.
MicroStrategy merges self-service data preparation and visual data discovery into one BI and business analytics platform. MicroStrategy provides out-of-the-box gateways and native drivers that connect to any corporate resource, including databases, mobile device management (MDM) systems, corporate directories, cloud applications and physical access control systems. Its built-in analytics tool allows MicroStrategy to be integrated with other web pages and applications such as portals, CRM tools, chatbots, and even voice assistants like Alexa.
Oracle offers a wide range of BI and analytics tools that can be deployed on premise or in Oracle Cloud. The company provides traditional BI capabilities in its Business Intelligence 12c solution. Oracle Data Visualization provides more advanced functionality and allows users to automatically visualize data in the form of attributes, charts and graphs by drag and drop. The tool also allows users to save snapshots of an analytical moment via story points.
Qlik offers a wide range of BI and analytics tools, one of the main ones being the company’s flagship offering, Qlik Sense. The solution allows organizations to combine all of their data sources into a single view. The Qlik Analytics Platform enables users to develop, extend, and integrate visual analytics into existing applications and portals. The integrated functionalities are carried out within a common governance and security framework. Users can build and integrate Qlik as simple mashups or integrate into applications, information services or IoT platforms.
SAP offers a wide range of BI and analysis tools in enterprise and user-oriented editions. The company’s flagship BI portfolio is delivered through on-premises (BusinessObjects Enterprise) and cloud (BusinessObjects Cloud) deployments on the SAP HANA cloud. SAP also offers a suite of traditional BI functionality for dashboards and reports. Vendor data discovery tools are hosted within the BusinessObjects solution, while additional functionality, including self-service visualization, is available through the SAP Lumira toolset.
SAS Visual Analytics is available on premise or in the cloud. Visual Analytics allows users to visually explore data to automatically highlight key relationships, outliers, and clusters. Users can also take advantage of advanced visualizations and guided analyzes through automatic mapping. SAS has made a name for itself through advanced analytics, as the tool can ingest data from a variety of data sources and manage complex models. In addition to BI, SAS offers tools for data management, IoT, personal data protection and Hadoop.
Sisense allows organizations to easily reveal business information from complex data of any size or format. The product allows users to combine data and discover information in a single interface without scripting, coding, or IT support. Sisense is sold as a single stack solution with a back end for data preparation and modeling. It also has extensive analytical capabilities and a front-end for dashboard and visualization. Sisense is most suitable for organizations that want to analyze large amounts of data from multiple sources.
TIBCO’s product capabilities are extensive and range from data integration and API management to visual analysis, reporting and data science. The company’s BI and analytics portfolio comes in two main versions: TIBCO Spotfire and TIBCO Jaspersoft. TIBCO Spotfire is the company’s most modern platform. It offers interactive visualization, data preparation, enterprise-class governance, and advanced analytics capabilities. TIBCO Jaspersoft supports traditional reporting and integrated BI functionality.
Tim is the Editorial Director of Solutions Review and leads big data coverage, business intelligence and data analytics. Most influential business journalist in 2017 and 2018 and “Who’s Who” in 2021 in data management and integration, Tim is a recognized influencer and thought leader in the field of enterprise software. Contact him via tking at solutionsreview dot com.