

Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse.
This reduction in both time and money resulted in real-time impact and significant cost savings.
For a lot of different tasks, including machine learning, it is a nice solution.
When it comes to big data processing, I prefer Databricks over other solutions.
Whenever we reach out, they respond promptly.
As of now, we are raising issues and they are providing solutions without any problems.
I would give Databricks customer support a rating of ten.
I would rate the technical support from MicroStrategy as nine out of 10.
The sky's the limit with Databricks.
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Databricks is an easily scalable platform.
We have moved from on-premises to cloud-based infrastructure.
MicroStrategy's scalability is good, as it has the possibility to read a lot of data and works fine with all the information that we have.
They release patches that sometimes break our code.
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.
Databricks is definitely a very stable product and reliable.
I would rate the stability of MicroStrategy as nine out of 10.
Adjusting features like worker nodes and node utilization during cluster creation could mitigate these failures.
We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly.
We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.
Creating hierarchies and the modeling part is challenging because data modeling is one of the most important aspects of any BI project.
Organizations that are well-established and have more money can afford MicroStrategy, but startups and mid-level organizations who do not have this much budget have to opt for other cheaper tools.
MicroStrategy could learn from Power BI's user-friendly interface.
It is not a cheap solution.
I believe that in terms of credits for Databricks, we're spending between £15,000 and £20,000 a month.
My experience with pricing, implementation costs, and licensing is that it is very efficient and very fast.
Databricks' capability to process data in parallel enhances data processing speed.
The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.
It's important because with MicroStrategy we can manage all our cubes and show data to our clients.
The MicroStrategy interface is not as good as Power BI, especially concerning the user-friendly aspects.
The most effective features of MicroStrategy for data analysis in my experience are the security, the metadata management, and the administration, along with the options of different workarounds available to accommodate different types of requirements.
| Product | Mindshare (%) |
|---|---|
| Databricks | 9.7% |
| Snowflake | 15.1% |
| Teradata | 8.8% |
| Other | 66.4% |
| Product | Mindshare (%) |
|---|---|
| MicroStrategy | 1.2% |
| Microsoft Power BI | 7.5% |
| Tableau Enterprise | 5.8% |
| Other | 85.5% |


| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 12 |
| Large Enterprise | 57 |
| Company Size | Count |
|---|---|
| Small Business | 37 |
| Midsize Enterprise | 26 |
| Large Enterprise | 101 |
Databricks offers a scalable, versatile platform that integrates seamlessly with Spark and multiple languages, supporting data engineering, machine learning, and analytics in a unified environment.
Databricks stands out for its scalability, ease of use, and powerful integration with Spark, multiple languages, and leading cloud services like Azure and AWS. It provides tools such as the Notebook for collaboration, Delta Lake for efficient data management, and Unity Catalog for data governance. While enhancing data engineering and machine learning workflows, it faces challenges in visualization and third-party integration, with pricing and user interface navigation being common concerns. Despite needing improvements in connectivity and documentation, it remains popular for tasks like real-time processing and data pipeline management.
What features make Databricks unique?
What benefits can users expect from Databricks?
In the tech industry, Databricks empowers teams to perform comprehensive data analytics, enabling them to conduct extensive ETL operations, run predictive modeling, and prepare data for SparkML. In retail, it supports real-time data processing and batch streaming, aiding in better decision-making. Enterprises across sectors leverage its capabilities for creating secure APIs and managing data lakes effectively.
MicroStrategy is known for its scalability and stability. It supports complex analytics and seamless mobile integration. With features like geo-spatial mapping and easy dossier creation, it's compatible with Teradata, offering robust metadata management and customizations through its SDK.
MicroStrategy provides enterprise-class business intelligence with streamlined data governance and efficiently handles diverse data sources. Its platform offers ad-hoc reporting, self-service features, and interactive visualizations. The active user community and customization options ensure adaptability, while enhancements are needed in data modeling and visual capabilities. The administration tools, schema creation, and dashboard development can be complex, and licensing costs are significant. Improvements in cloud integration, multi-device support, community support, and training are necessary for wider adoption.
What are the features of MicroStrategy?MicroStrategy is implemented for reporting and analytics in industries like finance and operations. Corporations utilize it for creating dashboards, financial reporting, and operational data analysis. It's effective for management reporting, tracking sales, inventory, and providing real-time insights. Integrations with CRM applications enhance its utility in producing interactive digital formats, replacing traditional reporting methods.
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.