Securely integrate Vertica Analytics Platform with Domo
About Vertica Analytics Platform
Vertica Analytics Platform is a data warehouse management system optimized for large-scale, rapidly-growing datasets. By using a column-oriented architecture (instead of row-oriented), Vertica can offer high-speed query performance for your business intelligence, machine learning, and other query-intensive systems. Vertica is compatible with a variety of cloud data warehouse servers such as Google Cloud Platform, Amazon Elastic Compute Cloud, Microsoft Azure, and on-premises. The platform also offers its “Eon Mode,” which achieves optimum performance by separating computational processes from storage processes. Eon Mode is available when hosting the platform on AWS or when using Pure Storage Flashblade on-premises. Vertica is an open-source product that is free to use up to certain data limitations.
Domo is a cloud-based software-as-a-service (SaaS) platform that provides business decision-makers with a simplified way to access real-time data and insights with minimal aid from IT staff. Domo integrates data from multiple cloud-based or on-premises sources (such as spreadsheets, social media accounts, and diverse databases) for business-transforming insights.
Popular Use Cases
Bring all your Domo data to Amazon Redshift
Load your Domo data to Google BigQuery
ETL all your Domo data to Snowflake
Move your Domo data to MySQL
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Vertica Analytics Platform's End Points
Vertica Massively Parallel Processing (MPP)
Through its MPP architecture, Vertica distributes requests across different nodes. This brings the benefit of virtually unlimited linear scalability.
Vertica Column-Oriented Storage
Veritica's column-oriented storage architecture provides faster query performance when managing access to sequential records. This advantage also has the adverse effect of slowing down normal transactional queries like updates, deletes, and single record retrieval.
Vertica Workload Management Automation
With its workload management features, Vertica allows you to automate server recovery, data replication, storage optimization, and query performance tuning.
Vertica Machine Learning Capabilities
Vertica includes a number of machine learning features in-database. These include 'categorization, fitting, and prediction,' which bypasses down-sampling and data movement for faster processing speed. There are also algorithms for logistic regression, linear regression, Naive Bayes classification, k-means clustering, vector machine regression/classification, random forest decision trees, and more.
Vertica In-Built Analytics Features
Through its SQL-based interface, Vertica provides developers with a number of in-built data analytics features such as event-based windowing/sessionization, time-series gap filling, event series joins, pattern matching, geospatial analysis, and statistical computation.
Vertica SQL-Based Interface
Vertica's SQL based interface makes the platform easy to use for the widest range of developers.
Vertica Shared-Nothing Architecture
Vertica's shared-nothing architecture is a strategy that lowers system contention among shared resources. This offers the benefit of slowly lowering system performance when there is a hardware failure.
Vertica High Compression Features
Vertica batches updates to the main store. It also saves columns of homogenous data types in the same place. This helps Vertica achieve high compression for greater processing speeds.
Vertica Kafka and Spark Integrations
Vertica features native integrations for a variety of large-volume data tools. For example, Vertica includes a native integration for Apache Spark, which is a general-purpose distributed data processing engine. It also includes an integration for Apache Kafka, which is a messaging system for large-volume stream processing, metrics collection/monitoring, website activity tracking, log aggregation, data ingestion, and real-time analytics.
Vertica Cloud Platform Compatibility
Vertica runs on a variety of cloud-based platforms including Google Cloud Platform, Microsoft Azure, Amazon Elastic Compute Cloud, and on-premises. It can also run natively using Hadoop Nodes.
Vertica Programming Interface Compatibility
Vertica is compatible with the most popular programming interfaces such as OLEDB, ADO.NET, ODBC, and JDBC.
Vertica Third-Party Tool Compatibility
A large number of data visualization, business intelligence, and ETL (extract, transform, load) tools offer integrations for Vertica Analytics Platform. For example, Xplenty's ETL-as-a-service tool offers a native integration to connect with Vertica.
Domo's End Points
Domo Secure, Unified Views of Your Business Data
Domo pulls together business data from disparate platforms and consolidates the information into a single, easy-to-understand view for company decision-makers, team members, and customers. As a hub between your different business solutions, Domo includes more than 1,000 out-of-the-box ETL (extract, transform, load) connectors to integrate live data from your cloud platforms. Domo also ingests data from your on-site and proprietary file systems. With bi-directional connectors, you can send data to Domo for analysis and return the data to the source systems. Finally, data federation allows you to query sensitive data from the source so it can remain secure behind your firewall.
Domo Extract, Transform Load (ETL)
Domo's ETL features extract, transform and load your data from diverse sources into a single, easy-to-analyze whole. With its built-in, drag-and-drop ETL solutions, you can define your data sources and customize how to join, transform, and enhance them (whether it's Redshift, Excel, MySQL, CSV, or hundreds of other formats) without knowing how to code in SQL. Through the automatic application of logic with every upload, your data will always be up to date. Plus, more tech-savvy users can use Domo to develop custom queries and implement advanced data science strategies.
Domo Instant, Actionable Business Insights
With Domo's predictive analytics tools and sophisticated alerting systems, your decision-makers will stay on top of new developments for more strategic and timely decision-making. Receive instant alerts as soon as KPIs hit designated thresholds. Natural-language processing allows you to query your data and receive an instant response through natural-language text bots. Finally, Domo offers deep insights related to your data through its machine learning and descriptive statistics module, which constantly looks for interesting correlations and insights within your data.
Domo Visualization Tools
Domo includes visualization tools turn your business insights into beautiful, accessible presentations. The platform's real-time data views load quickly for the largest datasets. Customizable visual presentations with drag-and-drop interfaces let you adjust colors, images, and explanatory text without knowing how to code. Build your visualizations once, and view updated information on any device, anywhere.
Domo Advanced Data Security and Compliance Features
Domo offers the latest in data security technology and data governance tools to ensure compliance with GDPR, SOC(1)/SOC(2), and ISO data compliance standards. The platform includes BYOK (bring your own key) data encryption capabilities with encryption keys that change more frequently, and access control options to grant personalized data permissions. Assign role-based access permissions and manage permissions on a large-scale with APIs.