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 **Table 1.** Overview of the most popular KMS systems for Big Data and their features. **Table 1.** Overview of the most popular KMS systems for Big Data and their features.
 ^ KMS ^ Type ^ Features ^ ^ KMS ^ Type ^ Features ^
-|Hadoop with ecosystem (HDFS, Hive, Spark)|Open Source|<WRAP justify>It stores and processes vast amounts of data, enabling analysis and knowledge extraction from logs, IoT data, and social media.</WRAP>+|Hadoop with ecosystem (HDFS, Hive, Spark)|Open Source|<WRAP justify>Stores and processes vast amounts of data, enabling analysis and knowledge extraction from logs, IoT data, and social media.</WRAP>
-|Apache Solr|Open Source|<WRAP justify>It indexes vast collections of data and documents, supports NLP, classification, and recommendations. It creates something like Google within the organization. It is a tool for content searching, not for management.</WRAP>+|Apache Solr|Open Source|<WRAP justify>Indexes vast collections of data and documents, supports NLP, classification, and recommendations. Also creates something like Google within the organization. It'a tool for content searching, not for management.</WRAP>
-|Apache Atlas|Open Source|<WRAP justify>Data management within the organization, audits, documenting data flows, and data cataloging. It enables integration with Hadoop (storage), Hive (searching), Kafka (streaming), and Spark (processing). It is a tool for data knowledge.</WRAP>+|Apache Atlas|Open Source|<WRAP justify>Data management within the organization, audits, documenting data flows, and data cataloging. It enables integration with Hadoop (storage), Hive (searching), Kafka (streaming), and Spark (processing). It'a tool for data knowledge.</WRAP>
-|Elastic Stack|Open Source|<WRAP justify> A highly advanced knowledge search engine, text analysis, logs, documents, and knowledge dashboards. It enables fast searching and visualization of knowledge.</WRAP>|+|Elastic Stack|Open Source|<WRAP justify> A highly advanced knowledge search engine, text analysis, logs, documents, and knowledge dashboards. Enables fast searching and visualization of knowledge.</WRAP>|
 |Databricks|Commercial|<WRAP justify> Data warehouse, supports ML, NLP, and predictive analysis. Enables generating knowledge from data.</WRAP>| |Databricks|Commercial|<WRAP justify> Data warehouse, supports ML, NLP, and predictive analysis. Enables generating knowledge from data.</WRAP>|
-|Microsoft Fabric/Azure Synapse|Commercial, Cloud|<WRAP justify>It integrates data, analytics, ML, and reporting. It allows building knowledge models and automatically generates knowledge from operational data.</WRAP>|+|Microsoft Fabric/Azure Synapse|Commercial, Cloud|<WRAP justify>Integrates data, analytics, ML, and reporting. It allows building knowledge models and automatically generates knowledge from operational data.</WRAP>|
 |Google BigQuery|Commercial|<WRAP justify> Very fast searching across petabytes of data. Characterized by extremely rapid knowledge generation from Big Data.</WRAP>| |Google BigQuery|Commercial|<WRAP justify> Very fast searching across petabytes of data. Characterized by extremely rapid knowledge generation from Big Data.</WRAP>|
-|IBM Watson Knowledge Catalog|Commercial|<WRAP justify> It catalogs knowledge and data, automatically tags and classifies them. It is integrated with AI and ML. </WRAP>|+|IBM Watson Knowledge Catalog|Commercial|<WRAP justify> Catalogs knowledge and data, automatically tags and classifies them. It'integrated with AI and ML. </WRAP>|