Apify vs. Databricks Data Intelligence Platform vs. OpenText Magellan

I used other platforms such as n8n and make.com, and Apify seems more reliable because it is built for real developers. It gives much more independence than other platforms. Maybe in terms of storage and processing speed needs to be improvement for AI-generated content.

Incentivized

Medium to Large data throughput shops will benefit the most from Databricks Spark processing. Smaller use cases may find the barrier to entry a bit too high for casual use cases. Some of the overhead to kicking off a Spark compute job can actually lead to your workloads taking longer, but past a certain point the performance returns cannot be beat.

Incentivized

If you do not have a large budget and are a large organization, I would steer clear of Actuate. If you are looking to do very complex washboarding, I would not use them. Your developers have to be very skilled to work with this. Plan to bring in consultants if necessary to help your process. Adhoc reporting is weak. If your pricing is user based and you expand, this could be very expensive.

• I love how intuitive the interface is. Even without deep coding knowledge, I can set up workflows quickly. The ready‑made actors are extremely helpful and cover most of my use cases.
• Apify makes it incredibly easy to automate repetitive web tasks. The platform is stable, the actors run smoothly, and the logs give me full visibility into every step.
• Apify offers impressive flexibility — from custom actors to API integrations and scheduling options. It scales well even with large workloads, and the performance has been consistent.

Incentivized

• Process raw data in One Lake (S3) env to relational tables and views
• Share notebooks with our business analysts so that they can use the queries and generate value out of the data
• Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
• Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers

Incentivized

• The report outputs can vary across different types such as HTML, PDF, and Excel
• Their open source offering is very sufficient
• There are great boards and blogs for developers and engineers to expand and use their features.
• The people from the company that I've worked with are professional and courteous.

Incentivized

• Some actors are very expensive and offer limited value - $120 / month before event charges? That's insane. The monthly price also isn't listed in the main search screen, so you need to go in manually to each actor to ascertain how much it really costs
• Some actors often break after a while and you need to start searching for new ones... but I guess that's the price for relying on 3rd party actors in your marketplace
• The review/quality process isn't great to navigate when looking for a new tool.

• Sometimes, when multiple jobs depend on each other in different environments, it is not always easy to see the full workflow in one place.
• It is sometimes difficult to determine which job or cluster contributes more to the overall cost.
• For beginners, cluster configuration may be a little difficult. So more recommendation in the platform can help.

Incentivized

• The documentation on all the available features, but most importantly on the scripting side, can be improved
• The standard look & feel of some basic options, like parameter selection or sorting and filtering, looks dated and can't be customized
• The server portal needs to provide better tools
• More integration is needed with other OpenText products

Incentivized

It's the best because you can just load in a limited amount of money and limit your financial exposure to using a tool like this. so renewing isn't a big consideration... i know that i'm going to need the tool in the future and i'll load it with money accordingly when im ready.

I am no longer working for the company that was using Actuate but I believe they would continue to use it because the stitching costs would be to high. It would require a complete rewrite of the reports and the never version of Actuate (BIRT) even required an almost complete report rewrite

Incentivized

Very very easy to use, subscriber in a heartbeat. Most of the apps available you may need to explore a bit, but generally you’ll be able to find what you’re looking for and it will get the job done. The ability to choose what you want to do with it and for independent providers being able to place their apps in the marketplace makes it strong

Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.

in terms of graph generation and interaction it could improve their UI and UX

Incentivized

It is quite intuitive to use. It is fit specifically for doing sentiment, emotion, and intention analysis as well as text classification and text summarization. I would have given 10 if it is fit for the purpose of doing image processing and analysis as well. There is a huge market to analyze video and image data.

Incentivized

I was very happy with the support I received from Apify. They are always ready to answer all your questions and help solve problems you have.

One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.

Always there on the front and backend for us and the client.

1. Strategy for Anti-Blocking & Proxies 2. Cost Optimization (Compute Units) 3. Data Management & Storage

Incentivized

Apify does its own thing and delivers value based on its core features, but I still rate Apify as my number one platform for finding and using web scrapers. In terms of how it stacks, I use Apify alongside Bright Data for web research workflows.

The most important differentiating factor for Databricks Lakehouse Platform from these other platforms is support for ACID transactions and the time travel feature. Also, native integration with managed MLflow is a plus. EMR, Cloudera, and Hortonworks are not as optimized when it comes to Spark Job Execution. Other platforms need to be self-managed, which is another huge hassle.

Incentivized

It is vastly superior to these in many ways, for complex reporting it is a much more sophisticated solution. Visualizations are very good. Javascript extensibility is very powerful, others don't support this or as well. Pentaho and MS are both OLAP oriented. Pentaho is moving more toward big data, which was not our primary focus. Others are stuck in the Crystal Reports Band metaphor.

• Some tools have saved us more than 20 hours of work per week.
• In some cases, it has allowed us to earn more than $5,000 per client. The results speak for themselves.
• Para algunas empresas, la compra de bases de datos puede resultar muy costosa, y gracias a Apify, hemos podido crearlas por menos de 300 dólares.

• The ability to spin up a BIG Data platform with little infrastructure overhead allows us to focus on business value not admin
• DB has the ability to terminate/time out instances which helps manage cost.
• The ability to quickly access typical hard to build data scenarios easily is a strength.

Incentivized

• Actuate can handle 50 to 60 sub reports inside a report very well.
• Dynamically creating the datasource, chart, graph, reports are the main advantages. We can do any level of drilling, and can create a performance matrix dashboard efficiently.