Is Hadoop Still in Demand in 2023
When we take a look at predictions about the Big Data Industry, the trend doesn’t seem to be slowing down any time soon. Learning skills such as Hadoop, Spark, Kafka, etc., can land promising Big Data jobs. The Global Hadoop market is said to grow at a CAGR of 33% between 2019 and 2024
Does Hadoop have a future?
Since it all started, the number of open-source projects and startups in the Big Data world has kept increasing, year after year (just take a look at the 2021 landscape to see how huge it has become). I remember that around 2012 some people were predicting that the new SQL wars would end and true victors would eventually emerge. This did not happen yet. How all of this will evolve in the future is very difficult to predict. It will take a few more years for the dust to settle. But if I had to take some wilde guesses, I would make the following predictions.
What is the future scope of Hadoop?
Is Hadoop outdated?
Hadoop Market is expected to reach $340.35 billion by 2027, growing at a CAGR of 37.5% from 2020 to 2027
Hadoop in 2023
As others have already noted, the main existing data platforms (Databricks, Snowflake, BigQuery, Azure Synapse) will keep on improving and add new features to close the gaps between each other. I expect to see more and more connectivity between every component, and also between data languages like SQL and Python.
We might see a slowdown of the number of new projects and companies in the next couple of years, although this would be more from a lack of funding after the burst of a new dotcom bubble (if this ever happens) than from a lack of will or ideas.
Since the beginning, the main lacking resource has been skilled workforce. This mean that for most companies, it was simpler to throw more money at performance problems, or migrate to more cost-effective solutions, rather than spend more time optimizing them. Especially now that storage costs in the main distributed warehouses have become so cheap. But perhaps at some point the price competition between vendors will become more difficult to maintain for them, and prices will go up. Even if prices don’t go up, the volume of data stored by businesses keeps increasing year after year, and the related cost of inefficiency with them. Perhaps at some point we will see a new trend where people start looking for new, cheaper open-source alternatives, and a new Hadoop-like cycle will start again.
In the long term, I believe the real winners will be the cloud providers, Google, Amazon and Microsoft. All they have to do is wait and see in which direction the wind blows the most, bide their time, then acquire (or simply reproduce) the technologies which work the best. Each tool that gets integrated into their cloud makes things so much easier and seamless for users, especially when it comes to security, gouvernance, access control, and cost management.
Is Hadoop still in demand in 2023?
Is Hadoop worth learning 2023?
Yes
What will replace Hadoop?
Possible Top 10 Alternatives to Hadoop HDFS
Top 10 Hadoop HDFS Alternatives 2022
Google Cloud BigQuery.
Databricks Lakehouse Platform.
Cloudera.
Hortonworks Data Platform.
Snowflake.
Google Cloud Dataproc.
Microsoft SQL Server.
Vertica.
