[
Rocket ... Reviews
](https://www.g2.com/products/rocket-vertica/reviews)

[
Rocket ... Reviews
](https://www.g2.com/products/rocket-vertica/reviews)

# Rocket Vertica Features

##### 
## Database (3)

Real-Time Data Collection

Collects, stores, and organizes massive, unstructured data in real time

Data Distribution

Facilitates the disseminating of collected big data throughout parallel computing clusters

Data Lake

Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.

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##### 
## Integrations (2)

Hadoop Integration

Aligns processing and distribution workflows on top of Apache Hadoop

Spark Integration

Aligns processing and distribution workflows on top of Apache Hadoop

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##### 
## Platform (3)

Machine Scaling

Facilitates solution to run on and scale to a large number of machines and systems

Data Preparation

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Spark Integration

Aligns processing and distribution workflows on top of Apache Hadoop

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##### 
## Processing (2)

Cloud Processing

Moves big data collection and processing to the cloud

Workload Processing

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems

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##### 
## Data Management (10)

Data Integration

Consolidates, Cleanses and Normalizes data from multiple disparate sources.

Data Compression

Helps save storage capacity and improves query performance.

Data Quality

Eliminates data inconsistency and duplications ensuring data integrity.

Built-In Data Analytics

SQL based analytics functions like Time series, pattern matching, geospatial analytics etc.

In-Database Machine Learning

Provides built in capabilities like machine learning algorithms, data preparation functions, model evaluation and management etc.

Data Lake Analytics

Allows data querying across data formats like parquet, ORC, JSON etc and analyze complex data types on HDFS

ETL - Extract Transfer Load

Process of extracting and moving data from multiple sources to a single and unified database

Data Capture and Transfer

Import, collect, and capture data from multiple sources

Real-Time Analytics

Analyze and gain insights into data in real-time

Reporting/Analytics

View and track pertinent metrics to find patterns and gain insights from data

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##### 
## Integration (3)

AI/ ML Integration

Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities.

BI Tool Integration

Integrates with BI Tools to transform data into Actionable Insights.

Data lake Integration

Provides speed in data processing and capturing unstructured, semi-structured and streaming data.

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##### 
## Deployment (2)

On-Premise

Provides On-Premise deployment options.

Cloud

Provides Cloud deployment options (private or public cloud, hybrid cloud).

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##### 
## Performance (1)

Scalability

Manages huge volumes of data, upscale or downscale as per demand.

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##### 
## Security (6)

Data Governance

Policies, procedures and standards to manage and access data.

Data Security

Restricts data access at a cell level, mask or hide parts of cells, and encrypt data at rest and in motion

Role-Based Authorization

Provides predefined system roles, privileges, and user-defined roles to users.

Authentication

Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.

Audit Logs

Provides an audit log to track access and operations performed on databases for regulatory compliance.

Encryption

Provides encryption capability for all the data at rest using encryption keys.

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##### 
## Storage (2)

Data Model

Stores data tables as columns.

Data Types

Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.

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##### 
## Availability (3)

Auto Sharding

Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.

Auto Recovery

Restores a database to a correct (consistent) state in the event of a failure.

Data Replication

Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc.

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##### 
## Performance (1)

Integrated Cache

Stores frequently-used data in system memory quickly.

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##### 
## Support (2)

Multi-Model

Provides support to store, index and query data in more than one format.

Operating Systems

Available on multiple operating systems like Linux, Windows, MacOS etc.

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##### 
## Generative AI (3)

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

Generative AI

Use AI to generate content in the form of text, images, videos, etc.

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##### 
## Additional Functionality (27)

Parallel Processing

Running multiple processors to handle separate parts of an overall task and manage complex tasks/computations.

Ad hoc Analysis

Multiple Data Sources

Allows users to manage data from a number of sources

API

Application programming interface that allows for integration with other systems/databases

In-Database Processing

Blending and analysis of large data sets without moving data out of a database.

Monitoring

Observe and track the demand, usage, progress or quality of a system, product, or user

Real-Time Reporting

Active reporting of data and metrics

Data Synchronization

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Real-Time Monitoring

Active monitoring of systems, applications, or networks

Data Connectors

Connect to big data sources

Performance Metrics

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Ad hoc Reporting

Generate one-off reports that meet information requirements

Alerts/Notifications

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Access Controls/Permissions

Define levels of authorization for access to specific files or systems

Drag & Drop

Assemble applications and processes by dragging over and arranging pre-built components

Data Visualization

Graphical representation of data

Data Import/Export

Import and export data to and from software applications

Match & Merge

Looking at data from different sources and finding possible duplicates, or identical matches

Data Transformation

Translate EDI formats into data suitable for use with company applications.

Secure Data Storage

Securely stores data to prevent data loss or breaches

Data Extraction

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

AI Copilot

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Customizable Reports

Alter the layout and content of reports

Activity Dashboard

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Data Migration

Move from one database to another, or upgrade the version of database software being used

In-Memory Processing

Data Mapping

Track the management and flow of data throughout the organization

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## Top-Rated Alternatives

[

 ![Google Cloud BigQuery](https://images.g2crowd.com/uploads/product/hd_favicon/875b8a68eca98ce3458f26e9dd34cdf9/google-cloud-bigquery.svg "Google Cloud BigQuery")

Google Cloud BigQuery

4.5/5(1,224)

](https://www.g2.com/products/google-cloud-bigquery/reviews)

[

 ![Snowflake](https://images.g2crowd.com/uploads/product/hd_favicon/1544409170/snowflake.svg "Snowflake")

Snowflake

4.5/5(763)

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[

 ![Amazon Redshift](https://images.g2crowd.com/uploads/product/hd_favicon/1528476479/amazon-redshift.svg "Amazon Redshift")

Amazon Redshift

4.3/5(404)

](https://www.g2.com/products/amazon-redshift/reviews)

[
View All Alternatives
](https://www.g2.com/products/rocket-vertica/competitors/alternatives)

Rocket Vertica Comparisons

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Oracle Exadata Cloud Service

4.4/5(44)

[
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Snowflake

4.5/5(763)

[
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 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_5e530c81ef1a1d98fe6a0d6eede0397b/sap-hana-cloud-2025-10-01.png "Product Avatar Image")

SAP HANA Cloud

4.3/5(620)

[
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##### Categories on G2

[
Big Data Processing and Distribution
](https://www.g2.com/categories/big-data-processing-and-distribution)[
Data Warehouse
](https://www.g2.com/categories/data-warehouse)[
Columnar Databases
](https://www.g2.com/categories/columnar-databases)

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