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Latana VS Apache Cassandra

Compare Latana VS Apache Cassandra and see what are their differences

Latana logo Latana

Latana is the first brand tracking tool to use advanced data science to ensure reliable and accurate brand insights.

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • Latana Landing page
    Landing page //
    2023-09-02

We built an advanced brand tracker so we could help solve the brand puzzle. More and more brands taking a bigger turn towards brand marketing over performance marketing. Marketplaces are becoming oversaturated and it's becoming harder to become noticed by your target audience. And it is also becoming really, really expensive. This is not a sustainable means of growth. But brand marketing is.

Brands know that if they achieve a high level of brand awareness, it will accelerate into sales further along the line. Most importantly, these brands are aware that an investment into brand awareness is an investment into the long-term growth of their business. But they don't know if this investment is making an impact, or if they would get the same results simply burning their money.

That's why we have developed brand analytics. Brand analytics is for brand managers what Google Analytics is for digital marketers. It provides them with an intuitive dashboard where they can see exactly their level of brand performance with target audiences, campaign impact, and how they fare against their competitors. These accurate insights can be used be brand managers to tailor their marketing for their audiences and improve brand performance - leading to growth and sales. Perfect!

  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

Latana videos

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Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to Latana and Apache Cassandra)
Data Dashboard
100 100%
0% 0
Databases
0 0%
100% 100
Business & Commerce
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Latana and Apache Cassandra

Latana Reviews

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Apache Cassandra Reviews

16 Top Big Data Analytics Tools You Should Know About
Application Areas: If you want to work with SQL-like data types on a No-SQL database, Cassandra is a good choice. It is a popular pick in the IoT, fraud detection applications, recommendation engines, product catalogs and playlists, and messaging applications, providing fast real-time insights.
9 Best MongoDB alternatives in 2019
The Apache Cassandra is an ideal choice for you if you want scalability and high availability without affecting its performance. This MongoDB alternative tool offers support for replicating across multiple datacenters.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, Apache Cassandra seems to be a lot more popular than Latana. While we know about 42 links to Apache Cassandra, we've tracked only 1 mention of Latana. 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.

Latana mentions (1)

  • US seen as bigger threat to democracy than Russia or China, global poll finds
    The company that provided the data for the report is not actually a polling organization. It is a marketing firm whose competency appears to be conducting brand awareness studies. Source: about 3 years ago

Apache Cassandra mentions (42)

  • Which Database is Perfect for You? A Comprehensive Guide to MySQL, PostgreSQL, NoSQL, and More
    Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / 9 days ago
  • Consistent Hashing: An Overview and Implementation in Golang
    Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / 2 months ago
  • Understanding SQL vs. NoSQL Databases: A Beginner's Guide
    On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / 3 months ago
  • How to choose the right type of database
    HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 4 months ago
  • Asynchronous driver written in Rust for ScyllaDB, Cassandra and AWS Keyspaces.
    Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 10 months ago
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What are some alternatives?

When comparing Latana and Apache Cassandra, you can also consider the following products

AdMeter - AdMeter is a cloud-based analytical platform that allows you to improve your marketing strategies by using accurate analytical reports and also understanding the behavior of your targeted customers.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Tercept Unified Analytics - Tercept automatically aggregates and organizes all monetization data,analytics data and marketing data into one single dashboard with powerful querying and visualization capabilities. You can setup custom reports and automate 100% of your reporting.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Pega Marketing - Pega Marketing is an advanced-level and AI-based software solution that allows you to interact with customers in an engaging way and solve their issues by providing their valuable services in real-time.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.