Influencity
CreatorIQ
Traackr
GRIN
Aggero.io
Insense & Paid Media
mention
Assmb.ly
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Informatica
Rakam
Concurrent
Influencity is the most complete AI-powered influencer marketing platform that will allow you to obtain total Influencer Relationship Management on a single comprehensive platform. We provide over 60 functionalities that will adjust to your own workflows to successfully execute end-to-end influencer campaigns.
To go into more detail, this is what Influencity platform will allow you to do:
Search for the perfect influencers for your campaigns in just a few seconds. We have over 70 million influencers which can be found combining over 20 filters (engagement, location, gender, age, interests…)
Analyze any social media profile, create your own database, and organize your influencers in lists. Influencity will allow you to see full profile analysis (followers quality, KPIs, demographics…)
Estimate your campaign’s results before managing them. You will be able to do this thanks to the analysis that the platform makes based on the influencers’ main KPIs. You will be able to manage as many campaigns as you need at the same time on a very visual and easy solution.
Measure results through complete reports that include publications with its automatically generated metrics, graphs, and data of your campaign as a whole.
Influencity DatabricksNo features have been listed yet.
Based on our record, Databricks seems to be more popular. It has been mentiond 17 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.
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 2 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / almost 2 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
CreatorIQ - CreatorIQ helps agencies, publishers and brands spend more time scaling their influencer programs by spending less time managing them.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Traackr - Traackr is an influencer marketing platform.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
GRIN - Our all-in-one creator management platform lets you combine all your influencer marketing functions with your ecommerce workflow and run your entire program in one place. From creator discovery and outreach to campaign execution, reporting, & beyond.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.