153 Reviews and Ratings
5 Reviews and Ratings
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The software appears to run more efficiently than other big data tools, such as Hadoop. Given that, Apache Spark is well-suited for querying and trying to make sense of very, very large data sets. The software offers many advanced machine learning and econometrics tools, although these tools are used only partially because very large data sets require too much time when the data sets get too large. The software is not well-suited for projects that are not big data in size. The graphics and analytical output are subpar compared to other tools. Incentivized
Recommended for: Multiple systems to interface for a task in the company (example: to sell an item your POS must communicate with the inventory software, then to accounting, then to service, etc).When a task must bring information from several external services.When you have to deal with multiple APIs.Not recommended for: Data transformation (although Talend has a software for that that works with Talend ESB) Incentivized
Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issuesFaster in execution times compare to Hadoop and PIG LatinEasy SQL interface to the same data set for people who are comfortable to explore data in a declarative mannerInteroperability between SQL and Scala / Python style of munging dataIncentivized
Up to 900 connectors included in the license with no extra costGraphical UI to develop the Web ServicesYou can begin with the community version to evaluate or start implementing a very uncomplicated ESBThe Talend ESB Admin Control is very powerful with dashboards and reports to keep your IF working smoothlyIncentivized
Memory management. Very weak on that.PySpark not as robust as scala with spark.spark master HA is needed. Not as HA as it should be.Locality should not be a necessity, but does help improvement. But would prefer no localityIncentivized
You have to log in to each module separately900 connectors is a lot, but if you have a custom app to interface, you have to develop your connectorIncentivized
Capacity of computing data in cluster and fast speed.
The only thing I dislike about spark's usability is the learning curve, there are many actions and transformations, however, its wide-range of uses for ETL processing, facility to integrate and it's multi-language support make this library a powerhouse for your data science solutions. It has especially aided us with its lightning-fast processing times.Incentivized
1. It integrates very well with scala or python. 2. It's very easy to understand SQL interoperability. 3. Apache is way faster than the other competitive technologies. 4. The support from the Apache community is very huge for Spark. 5. Execution times are faster as compared to others. 6. There are a large number of forums available for Apache Spark. 7. The code availability for Apache Spark is simpler and easy to gain access to. 8. Many organizations use Apache Spark, so many solutions are available for existing applications.
Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.Incentivized
First, it is a lot of cheaper than the closest competitor.Second, Talend ESB is in the same league as other stronger brands.Third, the functions and modules are a 360 solution to implement an ESB. Talend has a different approach to license since it is based on programmers and run times, not to users of cores.Incentivized
Business leaders are able to take data driven decisionsBusiness users are able access to data in near real time now . Before using spark, they had to wait for at least 24 hours for data to be availableBusiness is able come up with new product ideasIncentivized
Considerably cheaper than oracle service busAs I said before, you can run a POC using the community version of Talend Studio.Built from Open Source/ well-proven technologies, and a big community to support those technologies.Incentivized