Apify vs. Databricks Data Intelligence Platform vs. Teradata Vantage

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

Teradata Vantage is well suited for large scale ETL pipelines like the ones we developed for anti money laundering risk matrices. It handles heavy joins, aggregations, and transformations on transactional data efficiently. We generate alert variables, adjust for inflation, and monitor establishments monthly with it, all integrated with Python and Control-M for a centralised automation across the company. For less appropriate, I would say that heavy resource demands might slow down experimentation for iterative work.

• 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

• ETL (Extract - Transfor - Load)
• NOS to send data from Teradata Vantage to S3 and from S3 to Teradata Vantage
• Teradata GeoSpacial feature
• Bulk reading and writing in huge tables
• MPP capacity already mature
• Temporal Capacity more mature that other solutions
• TASM

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

• Teradata is an excellent option but only for a massive amount of data warehousing or analysis. If your data is not that big then it could be a misfit for your company and cost you a lot. The cost associated is quite extensive as compared to some other alternative RDBMS systems available in the market.
• Migration of data from Teradata to some other RDBMS systems is quite painful as the transition is not that smooth and you need to follow many steps and even if one of them fails. You need to start from the beginning almost.
• Last but not least the UI is pretty outdated and needs a revamp. Though it is simple, it needs to be presented in a much better way and more advanced options need to bee presented on the front page itself.

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.

Teradata is a mature RDBMS system that expands its functionality towards the current cloud capabilities like object storage and flexible compute scale.

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

Teradata Vantage allows us to create a scalable infrastructure to support our strategic initiatives. The dedicated compute power ensures reliable performance with isolated workloads and dedicated resources, optimizing workflows for faster, more efficient data transfers. The compute clusters support ETL processes and OSF’s developers and data science team with the flexibility to create self-service analytics, to spin up/down at any time, driving better performance and minimizing costs.

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.

We have meetings at the beginning with the technical team to explain our requirements to them and they were really putting in a lot of effort to come up with a solution which will address all our needs. They implemented the software and also trained a few of our resources on the same too. We can get in touch with them now as well whenever we run into a roadblock but it's very less now.

Incentivized

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

Teradata is way ahead of its competitor because of its unique features of ensuring data privacy and data never gets corrupted even in worst case scenario. In most cases, the data corruption is a major issue if left unused and it leads to important data being wiped off which in ideal case should be stored for 3 years

Incentivized

• 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

• Moving to Teradata in the Cloud-enabled a level of agility that previously didn't exist in the organization. It also enabled a level of analytic competency that was not achievable using other options on the aggressive timeline that was required. We didn't want to settle for reinventing a wheel when we had a super tuned performance capable beast readily available in Teradata. Teradata lets us focus on our business rather than spending money and effort trying to design software or database foundations features on an open source or lower performance platform.

Incentivized