Apify vs. Databricks Data Intelligence Platform vs. IBM InfoSphere Information Server

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

Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.

• 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

• IIS best for ETL ,not ELT , and many and diffrent source systems.
• It also can process big data , unstuctured data
• It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems

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

• I would be nice to have a new web development environment for DataStage.
• Connectivity Packs such as Pack for SAP Application are a little pricey.
• It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.

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.

• Scale of implementation
• IBM techsupport

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

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.

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

DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS

• 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

• Productivity of the development of integration processes.
• Better documentation and governance.
• Reduce training costs of various technologies.