Pudding.ai is a real-time ad creative analysis solution that helps marketers understand their ad creative performance. It answers 3 main questions: What creative works? Why? How to improve it?
With Pudding.ai you can easily:
· View the performance of your ad creatives in real-time
· See which creative elements help or hurt your KPIs
· Get actionable insights for future campaigns
· Easily share data with everyone in your team
The AI analyses images, videos, and copy elements providing actionable insights for future campaigns. With Pudding, it becomes possible to understand what elements of the creatives work, which don’t, why, and which ads are in fatigue.
Today, it’s supporting Facebook, Instagram, Google, YouTube, Pinterest and TikTok ads allowing a complete ad creative data overview in one place. In addition, this aids in seamless communication between media and creative teams, closing the feedback loop and increasing overall productivity.
✓ FREE DEAL: monthly creative performance report for Facebook ads!
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Based on our record, Apache Cassandra seems to be a lot more popular than Pudding.ai. While we know about 41 links to Apache Cassandra, we've tracked only 3 mentions of Pudding.ai. 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.
Try this creative audit. It's free and sends you creative analysis reports once a month. Source: over 2 years ago
Do they do ad creative performance reporting? It looks quite different from pudding.ai from what I see. Source: about 3 years ago
Dashthis does this as well, it might be a poor mans pudding.ai. Source: about 3 years ago
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 / about 23 hours ago
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 / 29 days ago
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 / 2 months ago
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: 8 months ago
NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 8 months ago
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