What Is HP Vertica
Vertica is an analytical database based on MPP architecture (massive parallel architecture). It’s a columnar database, where each column is a separate storage. It features high performance compared to traditional relational databases. It has a standard SQL interface with built-in analytical capabilities.
Advantages
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High Availability
Vertica ensures the database’s ability to continue running even if a node fails. Vertica automatically restores missing data by requesting other nodes.
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Mass Parallel Processing
Vertica allows users to continuously upload real-time data to any node. The request will be evenly distributed and managed by designating one of the nodes as the initiator of the request, and the others as executors.
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Automatic Database Design
For efficient automated database design, HP Vertica uses a database designer. When data is loaded into Vertica from a row storage data source, Vertica converts the data into column-based projections.
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"Zero" Administration
Vertica does not require administration or complex configuration during use.
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Significant Savings
You don’t need to spend significant money on adding DBA resources, replacing current DBMS and purchasing additional licences for them, and purchasing proprietary software and hardware systems.
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User-Friendly Interface
Vertica has a standard SQL interface that is compatible with all analytical applications and supports ODBC, JDBC, ADO.NET connectors.
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High Compression Ratio
Vertica doesn’t just store its data in columns, it does it rationally, with a high compression ratio to reduce storage costs and save disk space.
Analytics Data Stack Structure
Vertica Alternatives
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Snowflake
Snowflake is a cloud-based data processing and storage platform that allows you to combine data from many sources.
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Google BigQuery
Google BigQuery is a PaaS service that supports most of the features of a DBMS. It’s a part of the Google Cloud Platform, where there are several dozen more applications for analysing, storing and computing data.
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