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features
design
support

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Write a Review

Description

Oversee and protect the entire data lifecycle from the Edge to AI across any cloud platform or data center. Functions seamlessly within all leading public cloud services as well as private clouds, providing a uniform public cloud experience universally. Unifies data management and analytical processes throughout the data lifecycle, enabling access to data from any location. Ensures the implementation of security measures, regulatory compliance, migration strategies, and metadata management in every environment. With a focus on open source, adaptable integrations, and compatibility with various data storage and computing systems, it enhances the accessibility of self-service analytics. This enables users to engage in integrated, multifunctional analytics on well-managed and protected business data, while ensuring a consistent experience across on-premises, hybrid, and multi-cloud settings. Benefit from standardized data security, governance, lineage tracking, and control, all while delivering the robust and user-friendly cloud analytics solutions that business users need, effectively reducing the reliance on unauthorized IT solutions. Additionally, these capabilities foster a collaborative environment where data-driven decision-making is streamlined and more efficient.

Description

The evolution of digitalization alongside the increasing complexity of products is reshaping the demands for communication both within organizations and with customers. Gaining immediate access to tailored information for specific contexts and audiences has become essential for maintaining a competitive edge. Ensure that your product information is easily discoverable in a centralized hub. With the help of dynamic full-text search capabilities, users can locate the information they need swiftly without needing to understand the underlying product data architecture. Sherlock intelligently connects and refines information from various departments and systems within the company, transforming it into actionable insights. Each department has the autonomy to determine which data is shared on the central platform, allowing for a tailored approach. By designing your digital business processes around this interconnected information, you can progressively broaden the applications of Sherlock's capabilities. Additionally, you have the flexibility to adjust Sherlock's services according to your specific needs and those of your users. Embrace this opportunity today to adapt quickly to emerging challenges and cultivate a more responsive business environment in the future.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ActiveState Yes 
Agent3 Yes 
Alation Yes 
CYRES Yes 
Cazena Yes 
Datalytics Yes 
FlashBlade//S Yes 
GigaSpaces Yes 
Google Cloud Platform Yes 
IBM Cognos Analytics Yes 
IRI FieldShield Yes 
Mage Platform Yes 
Precisely Connect Yes 
Protegrity Yes 
Querona Yes 
TCS MasterCraft TransformPlus Yes 
TCS TAP Yes 
Talend Data Catalog Yes 
Talend Data Preparation Yes 
Velotix Yes 

Integrations

ActiveState No 
Agent3 No 
Alation No 
CYRES No 
Cazena No 
Datalytics No 
FlashBlade//S No 
GigaSpaces No 
Google Cloud Platform No 
IBM Cognos Analytics No 
IRI FieldShield No 
Mage Platform No 
Precisely Connect No 
Protegrity No 
Querona No 
TCS MasterCraft TransformPlus No 
TCS TAP No 
Talend Data Catalog No 
Talend Data Preparation No 
Velotix No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$495.00/month
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Cloudera

Founded

2008

Country

United States

Website

www.cloudera.com

Vendor Details

Company Name

Fischer Information Technology

Country

Germany

Website

www.fischer-information.com/en/products-and-services/sherlock.html

Product Features

Big Data

Collaboration Yes 
Data Blends Yes 
Data Cleansing Yes 
Data Mining Yes 
Data Visualization Yes 
Data Warehousing Yes 
High Volume Processing Yes 
No-Code Sandbox No 
Predictive Analytics Yes 
Templates No 

Business Intelligence

Ad Hoc Reports No 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard No 
Data Analysis Yes 
Key Performance Indicators No 
Natural Language Generation (NLG) No 
Performance Metrics No 
Predictive Analytics Yes 
Profitability Analysis No 
Strategic Planning No 
Trend / Problem Indicators No 
Visual Analytics No 

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Business Intelligence

Ad Hoc Reports No 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard Yes 
Data Analysis Yes 
Key Performance Indicators Yes 
Natural Language Generation (NLG) No 
Performance Metrics Yes 
Predictive Analytics Yes 
Profitability Analysis Yes 
Strategic Planning No 
Trend / Problem Indicators Yes 
Visual Analytics Yes 

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

Alternatives

Alternatives

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