Reviews Summary: Big Data Analytics Software with Embedded Analytics Features
Currently there are 6 Big Data Analytics software products with Embedded Analytics features listed on G2, and together they have generated 678 total reviews. These reviews are generated using the qualitative and quantitative feedback from G2 members who have used these software products.
G2 users review Big Data Analytics software products based on criteria relating to user experience, setup, and support. Below you will find how users rated the 6 Big Data Analytics software products that have Embedded Analytics features based on those criteria:
- Ease of Setup: 8.5/10 average user rating
- Quality of Support: 8.5/10 average user rating
- Ease of Use: 8.4/10 average user rating
To help you compare and find the best Big Data Analytics software product with the right Embedded Analytics functionality for your business, we have gathered some additional details and FAQs below.
What Big Data Analytics products with Embedded Analytics features have the most reviews and are the highest-rated?
Based on quantity of reviews and average ratings, these are the most popular Big Data Analytics software products with Embedded Analytics capabilities according to G2 users:
- Alteryx is rated 4.6-stars and has 240 reviews
- Azure Databricks is rated 4.4-stars and has 208 reviews
What Big Data Analytics software products with Embedded Analytics capabilities are the most liked according to G2 users?
Based on the G2 ratings scale and regardless of review count, these are the highest-rated Big Data Analytics software products with Embedded Analytics capabilities:
- Alteryx is rated 4.6-stars with 240 reviews.
- Azure Databricks is rated 4.4-stars with 208 reviews.
- MATLAB is rated 4.5-stars with 114 reviews.
- IBM Cloud Pak for Data is rated 4.3-stars with 65 reviews.
- Azure Data Lake Analytics is rated 4.2-stars with 36 reviews.
Which software products with Embedded Analytics features are the highest rated on G2?
These are the Big Data Analytics software products offering Embedded Analytics capabilities and have the highest ratings:
- Alteryx has received 240 reviews and is rated 4.6-stars.
- MATLAB has received 114 reviews and is rated 4.5-stars.
- Azure Databricks has received 208 reviews and is rated 4.4-stars.
- IBM Cloud Pak for Data has received 65 reviews and is rated 4.3-stars.
Review Snippets for Big Data Analytics Software with Embedded Analytics Features
Questions | Responses |
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Here is what users liked best about Big Data Analytics software with Embedded Analytics features. |
MATLAB: "It is a complete software, easy to learn and full of tools."
- Roberto F., Data scientist and independent adviser at OFNetwork s.r.l., Consel (Consorzio Elis), Small-Business (50 or fewer emp.)
Alteryx: "Its intuitive workflow environment with the drag&drop tools across data extraction, blending, preparation, transformation and advanced analytics while sharing results among variable tools"
- Wael F., Help organizations to leverage on their untapped data to turn it into actionable insights, Small-Business (50 or fewer emp.)
Azure Databricks: "It stores unstructured data in large amounts that cab be accessed and processed by BI Tools as wells as other statistical programming languages such as 'R' and 'Python'. The best part is that it is accessible by several other datasources, tools and technologies and other data sources and files can also be used as the enterprise data sources."
- Prashanth G., Senior Engineer - Data Analytics, Enterprise (> 1000 emp.)
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Here is what users liked least about Big Data Analytics software with Embedded Analytics features. |
Alteryx: "The rag-tag nature of the company depending on end-users to create a "community" in which they "foster solutions" AKA they dont want to invest in actual documentation / error resolution, and just rely on us end-users to try and fix each others problems. They sell you their "tech", which has about 999 things in it that you will *never* use, and in their only to inflate the price, and then ."
- William H., Analytics, Enterprise (> 1000 emp.)
MATLAB: "For beginners it is difficult to understand Matlab."
- Vishal K., Sr. Executive Administrative E-Commerce, Small-Business (50 or fewer emp.)
Arcadia Enterprise: "Arcadia has serious flaws for a business user:
- inability to easily export dashboards and visuals to other applications, eg Microsoft PowerPoint
- no printer friendly versions of dashboards/visuals
- can't access dashboards from an iPad or other mobile device. No iPad App"
- Michael S., Enterprise (> 1000 emp.)
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These are what users recommend to others considering popular Big Data Analytics software products with Embedded Analytics capabilities. |
MATLAB: "Matlab is a great tool for any user; beginner to advanced users. It can interpret large date and give meaningful results in no time."
- Michael C., MEMS Engineer, Mid-Market (51-1000 emp.)
Alteryx: "If you need a full overview of what is happening and what will happen in your business, you need Alteryx"
- Wael F., Help organizations to leverage on their untapped data to turn it into actionable insights, Small-Business (50 or fewer emp.)
Azure Databricks: "The number of products dealing with data science and data engineering is exploding. I'd recommend trying out Databricks and see if it does what you're looking for."
- Thomas Y., Senior Economist @ UT Legislature / Principal @ Econometric Studios ~
Finance|Economics|Analytics|Leadership Research, Small-Business (50 or fewer emp.)
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These are the problems users said the software was solving and how it is benefitting them. |
MATLAB: "In machine learning, data tool analysis"
- Roberto F., Data scientist and independent adviser at OFNetwork s.r.l., Consel (Consorzio Elis), Small-Business (50 or fewer emp.)
Alteryx: "Blending data from different sources. Preparing and cleansing data that took weeks on excel, not takes hours."
- Wael F., Help organizations to leverage on their untapped data to turn it into actionable insights, Small-Business (50 or fewer emp.)
Azure Databricks: "Data scientists and programmers have found Azure Databricks to be useful as they can run Statistical programming against the data to get insights into forecast and trends"
- Prashanth G., Senior Engineer - Data Analytics, Enterprise (> 1000 emp.)
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