StarTree Features
What are the features of StarTree?
Data Transformation
- Real-Time Analytics
Query latency
- Lower query latency
Data latency
- Lower data latency
- Data pipeline performance
Connectors
- Faster ingestion
- Built-in connectors
Scale
- Linearly scalable database
- Storage management
Architecture
- Data security
- Lockless architecture
StarTree Categories on G2
Filter for Features
Data Transformation
Real-Time Analytics | As reported in 11 StarTree reviews. Facilitates analysis of high-volume, real-time data. | 88% (Based on 11 reviews) | |
Data Querying | Allows user to query data through query languages like SQL. | Not enough data |
Connectivity
Hadoop Integration | Aligns processing and distribution workflows on top of Apache Hadoop | Not enough data | |
Spark Integration | Aligns processing and distribution workflows on top of Apache Spark | Not enough data | |
Multi-Source Analysis | Integrates data from multiple external databases. | Not enough data | |
Data Lake | Facilitates the dissemination of collected big data throughout parallel computing clusters. | Not enough data |
Operations
Data Visualization | Processes data and represents interpretations in a variety of graphic formats. | Not enough data | |
Data Workflow | Strings together specific functions and datasets to automate analytics iterations. | Not enough data | |
Embedded Analytics | Allows big data tool to run and record data within external applications. | Not enough data | |
Notebooks | Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations | Not enough data |
Maintenance
Data Migration | Allows data movement from one database to another. | Not enough data | |
Backup and Recovery | Provides data backup and recovery functionality to protect and restore a database. | Not enough data | |
Multi-User Environment | Allows users to access and work on data concurrently, supporting several views of the data. | Not enough data |
Management
Data dictionary | Stores the database metadata, that is the definitions of data elements, types, relationships etc. | Not enough data | |
Data Replication | Creates a copy of the database to maintain consistency and integrity. | Not enough data | |
Query Language | Allows users to create, update and retrieve data in a database. | Not enough data | |
Data Modeling | See feature definition | Defines the logical design of the data before building the schemas. | Not enough data |
Performance Analysis | Monitors and analyzes critical database attributes like query performance, user sessions, dead lock detail, system errors etc and visualize them on a custom dashboard. | Not enough data |
Security
Data Encryption | Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters. | Not enough data | |
User Access Control | Allows restricted user acess to modify depending on the access level. | Not enough data | |
Role-Based Authorization | Provides predefined system roles, privileges, and user-defined roles to users. | Not enough data | |
Authentication | Allows integration with external security mechanisms like Kerberos, LDAP authentication etc. | Not enough data | |
Audit Logs | Provides an audit log to track access and operations performed on databases for regulatory compliance. | Not enough data | |
Encryption | Provides encryption capability for all the data at rest using encryption keys. | Not enough data |
Storage
Data Model | Stores data tables as columns. | Not enough data | |
Data Types | Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc. | Not enough data |
Availability
Auto Sharding | Implements auto horizontal data partitioning that allows storing data on more than one node to scale out. | Not enough data | |
Auto Recovery | Restores a database to a correct (consistent) state in the event of a failure. | Not enough data | |
Data Replication | Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc. | Not enough data |
Performance
Integrated Cache | Stores frequently-used data in system memory quickly. | Not enough data |
Support
Multi-Model | Provides support to store, index and query data in more than one format. | Not enough data |
Query latency
Lower query latency | Aids in faster processing of query to obtain results. This feature was mentioned in 17 StarTree reviews. | 92% (Based on 17 reviews) |
Data latency
Lower data latency | Enables the user to track the time taken for data to be generated and available for processing 17 reviewers of StarTree have provided feedback on this feature. | 89% (Based on 17 reviews) | |
Data pipeline performance | Aids in monitoring and reporting data pipeline performance. 15 reviewers of StarTree have provided feedback on this feature. | 88% (Based on 15 reviews) |
Connectors
Faster ingestion | Manages in building pipelines between two protocols. This feature was mentioned in 17 StarTree reviews. | 83% (Based on 17 reviews) | |
Built-in connectors | Based on 14 StarTree reviews. Allows continuous data ingestion directly from the data source. | 69% (Based on 14 reviews) |
Scale
Linearly scalable database | Aids the database in scaling horizontally and vertically in petabytes. This feature was mentioned in 15 StarTree reviews. | 84% (Based on 15 reviews) | |
Storage management | Based on 14 StarTree reviews. Helps store the data in fixed size segments called vectors for better management. | 75% (Based on 14 reviews) |
Architecture
Data security | Enables ingesting data efficiently and securely. 12 reviewers of StarTree have provided feedback on this feature. | 74% (Based on 12 reviews) | |
Lockless architecture | Based on 10 StarTree reviews. Allows concurrent access to data without the use of any table locks. | 70% (Based on 10 reviews) |
