Page Comparison

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We compiled below a comparison matrix of both versions, which we try to keep as exhaustive as possible:

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If we take these axis and drill down, this gives us, in terms of functionalities only available in our Enterprise Edition:

1. Security

   1. Graphical AD configuration: the possibility from the Admin UI to setup the connection to your AD;

   2. Multiple AD OU: the technical capacity for Datafari to manage several AD organisation units;

   3. SSO: Integration with Kerberos and SAMLv2;

   4. Caching mechanism for the users roles: Caching user connection to lower the load.

2. Big Data

   1. Multiservers clusterisation: preconfigured environments for a multiserver environments (including the SolrCloud capability);

   2. Full compenentisation via Docker containers: all the components of Datafari (Cassandra, Postgre, MCF, Solr ...) are packaged within their own container, allowing for a "micro-service" approach;

   3. Enhanced Data Extraction Server: Preconfigured and faster indexation phase.

3. Exploitation

   1. Backup scripts: automatically backup your MCF configuration, your Solr index. Scripts and documentation to reload the backups.

   2. Advanced Monitoring: Configuration of Glances, logs downloadable per component from the admin UI, cron job watching the processes and restarting them automatically

   3. Monitoring Dashboards: Dashboards (based on Apache Zeppelin) to analyse the technical components, and to quickly find file indexations problems (such as missing files reported by an employee)

4. Relevance

   1. Automatic Relevancy Algorithm optimizer: Graphical tool that automatically calculates a local optimal solution for a given number of fields as part of the relevancy algorithm (leveraging the Golden Query Retriever functionality).

   2. Golden Query retriever: Graphical tool in the search results, to compile the golden queries consisting of queries/relevant documents.

   3. Machine Learning for documents real time ranking:

   4. Query time concept extractor:

   5. Indexing time concept extractor:

   6. On the fly semantic annotator: Able to connect asynchronously to 3rd party tools, such as AI tools from Google or Amazon, to extract/analyse documents before indexation. For instance, images of cars would be enriched with metadata giving the brand and color of the car; videos would get back the transcription text.

...

We compiled below a comparison matrix of both versions, which we try to keep as exhaustive as possible:

...

...

If we take these axis and drill down, this gives us, in terms of functionalities only available in our Enterprise Edition:

1. Security

   1. Graphical AD configuration: the possibility from the Admin UI to setup the connection to your AD;

   2. Multiple AD OU: the technical capacity for Datafari to manage several AD organisation units;

   3. SSO: Integration with Kerberos and SAMLv2;

   4. Caching mechanism for the users roles: Caching user connection to lower the load.

2. Big Data

   1. Multiservers clusterisation: preconfigured environments for a multiserver environments (including the SolrCloud capability);

   2. Full compenentisation via Docker containers: all the components of Datafari (Cassandra, Postgre, MCF, Solr ...) are packaged within their own container, allowing for a "micro-service" approach.

   3. Enhanced Data Extraction Server: Preconfigured and faster indexation phase.

   4. Dedicated Zookeeper for the Crawling Connectors Framework (MCF): allows for better performance since the Zookeeper used by Solr is freed from answering to the MCF frequent calls.

3. Exploitation

   1. Backup scripts: automatically backup your MCF configuration, your Solr index. Scripts and documentation to reload the backups.

   2. Advanced Monitoring: Configuration of Glances, logs downloadable per component from the admin UI, cron job watching the processes and restarting them automatically

   3. Monitoring Dashboards: ELK based dashboards to analyse the technical components, and to quickly find file indexations problems (such as missing files reported by an employee)

4. Relevance

   1. Automatic Relevancy Algorithm optimizer: Graphical tool that automatically calculates a local optimal solution for a given number of fields as part of the relevancy algorithm (leveraging the Golden Query Retriever functionality).

   2. Golden Query retriever: Graphical tool in the search results, to compile the golden queries consisting of queries/relevant documents.

   3. Machine Learning for documents real time ranking:

   4. Query time concept extractor:

   5. Indexing time concept extractor:

   6. On the fly semantic annotator: Able to connect asynchronously to 3rd party tools, such as AI tools from Google or Amazon, to extract/analyse documents before indexation. For instance, images of cars would be enriched with metadata giving the brand and color of the car; videos would get back the transcription text.

...

We compiled below a comparison matrix of both versions, which we try to keep as exhaustive as possible: