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Vertica VS Spark Streaming

Compare Vertica VS Spark Streaming and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Vertica logo Vertica

Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • Vertica Landing page
    Landing page //
    2023-09-19
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

Vertica videos

+ Add

A $100 mouse you hold like THIS?? - Logitech MX Vertical Review

More videos:

  • Review - Public preview of Tower C at M Vertica by Mah Sing
  • Demo - Vertica Demo: Introduction to Vertica In-database Machine Learning

Spark Streaming videos

+ Add

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Category Popularity

0-100% (relative to Vertica and Spark Streaming)

Vertica

Spark Streaming

Databases
100 100%
Databases
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Big Data
42 42%
Big Data
58% 58
Data Management
0 0%
Data Management
100% 100

User comments

Share your experience with using Vertica and Spark Streaming. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Spark Streaming seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Vertica mentions (0)

We have not tracked any mentions of Vertica yet. Tracking of Vertica recommendations started around Mar 2021.

Spark Streaming mentions (3)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing Vertica and Spark Streaming, you can also consider the following products

Amazon Redshift - Learn about Amazon Redshift cloud data warehouse.

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

Microsoft SQL Server - Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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