Visualize and process all security data, resulting in faster detections and investigations.
Unify your data and easily access every detail from ApeakData’s SaaS interface without data migration. Use scalable processing to detect threats and respond to incidents quickly. By using SQL only over any data store, no matter if it's relational or NoSQL.
Visualize and process all security data, resulting in faster detections and investigations.
Unify your data and easily access every detail from ApeakData’s SaaS interface without data migration. Use scalable processing to detect threats and respond to incidents quickly. By using SQL only over any data store, no matter if it's relational or NoSQL.
Run multi-database analytics without data migration, using SQL
Increase efficiency by being able to view analytics from all the data in a single place. This is without switching between multiple UIs or systems to get a complete picture of security data and third-party data.
Control and secure data in few clicks
Secure your data, while ensuring every employee has the right level of access. With a unified security architecture, you can manage users and groups effectively. Gain enhanced control over who has access to what data using a single view, define tailor-made access to meet the specific needs of different users or teams.
AI-Based Data Catalog and Auto-complete features
Formulate and execute queries faster. A constantly evolving Data Catalog provides insight into all possible connections between data entities. By analyzing the usage patterns in every data-source, ApeakData determines the shortest paths between tables. As you formulate the query, its wisdom appears in auto-complete, defining join statements and cross-table constraints.
Visualize all aspects of the business
Create a virtual semantic data layer ready to be easily integrated with BI products. Monitor security metrics and key risk indicators in real time and build dynamic dashboards. Perform analysis on data distributed across multiple tables, databases, or even different types of data stores (e.g., relational databases, NoSQL databases, etc.).
Activate Metadata
to win with data quality and more:
Advanced analytics with SQL over NoSQL data store
Allows analysts to query NoSQL data using SQL. That way you leverage the insight level and can analyze all the data you have. This without latency caused by data migration or NoSQL expert's assistance.
Detect metadata automatically
Keep the information flow smooth while the schema changes.
Dynamically discover and adapt to changes in the schema of the database without requiring manual intervention.
Multi-Cloud Connectivity in a Hybrid Environment
And more ... Analytics On Data Stored Anywhere Through a Single Interface For list of all connectors
