Securely integrate Vertica Analytics Platform with Buffer
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.
Buffer is a web and mobile-based platform that allows you to manage all of your company’s social media activities from a single place. With Buffer, you can design, schedule, and share content on Instagram, Facebook, LinkedIn, Pinterest, and Twitter — then analyze the results of your campaigns to measure their success and understand how your community is responding to them.
Popular Use Cases
Bring all your Buffer data to Amazon Redshift
Load your Buffer data to Google BigQuery
ETL all your Buffer data to Snowflake
Move your Buffer 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.
Buffer's End Points
Buffer Social Media Publishing Tools
Buffer's social media publishing tools allow you to tailor and perfect your posts to fit the nuances of each social network your company uses. Use the platform to design drafts of your posts, collaborate with team members, finetune your strategy, and plan the timing of each post for maximum effectiveness — all from a single platform that gives you a bird's-eye view of your content-lineup.
Buffer Customer Interaction Solutions
Buffer's platform enhances business-to-customer interactions by expanding your ability to immediately respond to social media conversations, resolve customer problems, and collaborate with the right team members to create a better, more interactive experience between your audience and brand. With Buffer's shared team inbox, you can interact with customers on a one-on-one basis across all your social media platforms — be it Facebook, Twitter, or Instragam — from a single interface. Buffer also includes 'collision detection' features — that show which team members are viewing a conversation to prevent duplicate responses — and the ability to leave notes for others who might respond to the conversation later.
Buffer Social Media Analytics
Buffer tracks data pertaining to all of your team's social media interactions — then uses this information to create performance reports that will help you improve customer engagement, grow your audience, and boost sales. With data on all of your social media platforms visible from a single, interactive analytics dashboard, everyone on your team has access to the information, metrics, and insights they need. Drill into statistics on individual posts and zoom out for general information. You can also customize reports to show specific team members exactly what they need to see.