What is Vertica?
It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.
Vertica is a tool in the Databases category of a tech stack.
Vertica is an open source tool with GitHub stars and GitHub forks. Here’s a link to Vertica's open source repository on GitHub
Who uses Vertica?
15 companies reportedly use Vertica in their tech stacks, including Square, Agoda, and Wayfair.
55 developers on StackShare have stated that they use Vertica.
MySQL, MongoDB, Sass, Go, and Oracle are some of the popular tools that integrate with Vertica. Here's a list of all 19 tools that integrate with Vertica.
Pros of Vertica
Shared nothing or shared everything architecture
Offers users the freedom to choose deployment mode
Flexible architecture suits nearly any project
End-to-End ML Workflow Support
All You Need for IoT, Clickstream or Geospatial
Freedom from Underlying Storage
Pre-Aggregation for Cubes (LAPS)
Automatic Data Marts (Flatten Tables)
Near-Real-Time Analytics in pure Column Store
Fully automated Database Designer tool
Vertica is the only product which offers partition prun
Partition pruning and predicate push down on Parquet
- Analyze All of Your Data. No longer move data or settle for siloed views
- Achieve Scale and Performance
- Fear of growing data volumes and users is a thing of the past
- Future-Proof Your Analytics
Vertica Alternatives & Comparisons
What are some alternatives to Vertica?
See all alternatives
MonetDB innovates at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, a modern CPU-tuned query execution architecture, automatic and self-tuning indexes, run-time query optimization, and a modular software architecture.
Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
Distributed SQL Query Engine for Big Data
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.