Integrate Vertica Analytics Platform with Snapchat
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.
With the ‘Snap Kit’ developer platform, you can build the best features of Snapchat into your apps. This helps you reach a wider audience of Snapchat’s more than 200 million users. With Snap Kit, your apps become more shareable as users can easily publish their best experiences from your app with their Snapchat friends.
Popular Use Cases
Bring all your Snapchat data to Amazon Redshift
Load your Snapchat data to Google BigQuery
ETL all your Snapchat data to Snowflake
Move your Snapchat data to MySQL
Integrate Vertica Analytics Platform With Snapchat Today
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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.
Snapchat's End Points
Snapchat Creative Kit
With the Creative Kit, you can incorporate a 'Share to Snapchat' button on your apps and websites, so your users can share their game stats, noteworthy articles, and other information with their Snapchat friends. Not only are these shares fun for your users, but they also include your branded logo, video, GIF, or link.
Snapchat Login Kit
With the Login Kit, you can give your users the option to register and log in to your app with their Snapchat details. This allows people who are already logged into the Snapchat platform to interact with your platform faster and more seamlessly.
Snapchat Bitmoji Kit
With the Snapchat Bitmoji Kit, your users can incorporate their favorite Bitmojis into your apps. That way, they can continue expressing their moods and emotions in the way they've grown to love on the Snapchat platform.
Snapchat Story Kit
With the Snapchat Story Kit, your users can integrate their Snapchat stores into your apps. The feature allows users to share stories, search public community stories, and embed highlights within your apps. Also, with Snapchat's Publisher API, you can easily export data into your analytics tools.
Snapchat Ad Kit
With Snapchat's Ad Kit, you can start earning ad revenue by building fullscreen, Snap Ads into your apps and platforms.