StarTree Features

Facilitates analysis of high-volume, real-time data.

Allows user to query data through query languages like SQL.

View and track pertinent metrics to find patterns and gain insights from data

Predict future data based on historical data sets

Interact with data visualization elements, such as charts and graphs, to drill down into data

Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Spark

Integrates data from multiple external databases.

Facilitates the dissemination of collected big data throughout parallel computing clusters.

Receive data and information in real time

Import, collect, and capture data from multiple sources

Review data from past periods to reveal recurring tendencies and predict future performance

Provides varying estimates based on different scenarios

Apply statistical/mathematical models to sets of data

Merge data from multiple sources to a single data set

Set up connections to third-party platforms to improve business processes

Processes data and represents interpretations in a variety of graphic formats.

Strings together specific functions and datasets to automate analytics iterations.

Allows big data tool to run and record data within external applications.

Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

Discover and connect variety of data sources to the application for analysis

Allows data movement from one database to another.

Provides data backup and recovery functionality to protect and restore a database.

Allows users to access and work on data concurrently, supporting several views of the data.

Data is backed up automatically to prevent data loss

Transformation of data from one format to another

Stores the database metadata, that is the definitions of data elements, types, relationships etc.

Creates a copy of the database to maintain consistency and integrity.

Allows users to create, update and retrieve data in a database.

Defines the logical design of the data before building the schemas.

Monitors and analyzes critical database attributes like query performance, user sessions, dead lock detail, system errors etc and visualize them on a custom dashboard.

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Receive data and information in real time

Manage and store data in a database

Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters.

Allows restricted user acess to modify depending on the access level.

Access software remotely via mobile devices

Provides predefined system roles, privileges, and user-defined roles to users.

Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.

Provides an audit log to track access and operations performed on databases for regulatory compliance.

Provides encryption capability for all the data at rest using encryption keys.

Stores data tables as columns.

Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.

Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.

Restores a database to a correct (consistent) state in the event of a failure.

Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc.

Stores frequently-used data in system memory quickly.

Provides support to store, index and query data in more than one format.

Aids in faster processing of query to obtain results.

Enables faster queries and search engine-like workloads.

Enables the user to track the time taken for data to be generated and available for processing

Aids in monitoring and reporting data pipeline performance.

Manages in building pipelines between two protocols.

Allows continuous data ingestion directly from the data source.

Aids the database in scaling horizontally and vertically in petabytes.

Helps store the data in fixed size segments called vectors for better management.

Enables ingesting data efficiently and securely.

Allows concurrent access to data without the use of any table locks.

Create, design and manage workflows for repetitive tasks

Set up connections to third-party platforms to improve business processes

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Database management based on relationships between data

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Application programming interface that allows for integration with other systems/databases

Connect to big data sources

Search and filter data across systems to locate required information by entering keywords or certain criteria

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Pre-designed layouts that can be customized to match preferences and requirements

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Search for specific words or phrases within a document or database

Retrieve and use data without requiring technical details about the data

Import and export data to and from software applications

Use AI to generate content in the form of text, images, videos, etc.

Assemble applications and processes by dragging over and arranging pre-built components

Customize data fields to support various needs and use cases

Verify the identity of users/devices to enable secure access

Graphical representation of data

Securely stores data to prevent data loss or breaches

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Track the management and flow of data throughout the organization

Run stored procedures and queries in multiple programming languages, such as JSON, Java, Python, Ruby, Perl, and SQL

Import, collect, and capture data from multiple sources

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Database management based on customization, fluidity, and document relations

Define levels of authorization for access to specific files or systems

Track and manage schedules and meetings via an integrated calendar

Active monitoring of systems, applications, or networks

Store and organize documents in a centralized system

Plan, schedule, and execute organization's accounts and assets to ensure compliance with policies and laws

Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.

Central repositories of integrated data from various sources

Assemble applications and processes by dragging over and arranging pre-built components

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Connect to big data sources

Generate one-off reports that meet information requirements

Alter the layout and content of reports

System alerts about the need to escalate an issue or request

Sample files or documents that could be customized as needed or used as is

Form predictions based on past and present data/trends

Move from one database to another, or upgrade the version of database software being used

Translate EDI formats into data suitable for use with company applications.

Define levels of authorization for access to specific files or systems

Application programming interface that allows for integration with other systems/databases

Removes data that is incomplete, inaccurate, or irrelevant from a dataset

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Creation and customization of dashboards

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Protect sensitive data for digital privacy

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Provides a channel for team members to share media files, communicate, and work together

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Process and analyze large volume of data

Supports common databases such as MySQL and Oracle

Search and filter data across systems to locate required information by entering keywords or certain criteria

Use AI to generate content in the form of text, images, videos, etc.