Which of the following technologies are part of your current data engineering pipeline (or data analytics application)?

HDFS, Hive16%

A Cloud Storage solution (AWS S3, Azure Blob Storage, GCP File store, etc.)66%

A RDBMS Database (MySql, Sql Server, Oracle, PostgreSql, etc)54%

A NoSql Database (Hbase, Cassandra, AWS Dynamo Db, Azure Cosmos DB, Redis, MongoDB, Bigtable, etc)36%

Search engine (ElasticSearch, Solr, etc)23%

Local file storage20%

A Streaming platform (Kafka, Spark Streaming, MapR streams, etc)13%

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2.7k views4 Upvotes1 Comment
Associate VP - Digital Technologies in Software3 years ago
Why is the adoption of a streaming platform low according to the results?
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1-25%24%

26-50%49%

51-75%15%

76%+8%

0%1%

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Chief Information Technology Officer in IT Services15 days ago
Adding new spokes (applications) is relatively straightforward since the hub provides centralized services that spokes can easily connect to without needing major architectural changes.
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Reduce vendor lock-in34%

Support new processes most effectively (e.g. CI/CD, IaC, FinOps49%

Provide optionality to different groups within an organization to match their preferences42%

Provide an ability to choose best of breed for specific current functions39%

Future proof (utilizing different cloud providers to serve specific emerging use cases)22%

Increase the ability to adopt new technologies more easily19%

I do not believe that cloud diversification is important3%

Other

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Head of Enterprise Architecture MERCK Group in Healthcare and Biotecha year ago
Strategy & Architecture
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