[ Druid Reviews ](https://www.g2.com/products/druid/reviews) [ Druid Reviews ](https://www.g2.com/products/druid/reviews) # Druid Features ##### ## Database Features (7) Storage Availability Stability Scalability Security Data Manipulation Query Language Show More ##### ## Database (3) Real-Time Data Collection Collects, stores, and organizes massive, unstructured data in real time Data Distribution Facilitates the disseminating of collected big data throughout parallel computing clusters Data Lake Creates a repository to collect and store raw data from sensors, devices, machines, files, etc. Show More ##### ## Integrations (2) Hadoop Integration Aligns processing and distribution workflows on top of Apache Hadoop Spark Integration Aligns processing and distribution workflows on top of Apache Hadoop Show More ##### ## Platform (3) Machine Scaling Facilitates solution to run on and scale to a large number of machines and systems Data Preparation Curates collected data for big data analytics solutions to analyze, manipulate, and model Spark Integration Aligns processing and distribution workflows on top of Apache Hadoop Show More ##### ## Processing (2) Cloud Processing Moves big data collection and processing to the cloud Workload Processing Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems Show More ##### ## Data Management (6) Data Integration Consolidates, Cleanses and Normalizes data from multiple disparate sources. Data Compression Helps save storage capacity and improves query performance. Data Quality Eliminates data inconsistency and duplications ensuring data integrity. Built-In Data Analytics SQL based analytics functions like Time series, pattern matching, geospatial analytics etc. In-Database Machine Learning Provides built in capabilities like machine learning algorithms, data preparation functions, model evaluation and management etc. Data Lake Analytics Allows data querying across data formats like parquet, ORC, JSON etc and analyze complex data types on HDFS Show More ##### ## Integration (3) AI/ ML Integration Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities. BI Tool Integration Integrates with BI Tools to transform data into Actionable Insights. Data lake Integration Provides speed in data processing and capturing unstructured, semi-structured and streaming data. Show More ##### ## Deployment (2) On-Premise Provides On-Premise deployment options. Cloud Provides Cloud deployment options (private or public cloud, hybrid cloud). Show More ##### ## Performance (6) Scalability Manages huge volumes of data, upscale or downscale as per demand. Disaster Recovery Provides data recovery functionality to protect and restore data in a database. Data Concurrency Allows multi-version concurrency control. Workload Management Handles workloads, from single machines to data warehouses or web services with many concurrent users. Advanced Indexing Allows users to quickly retrieve data through various types of indexing like B-tree, hash table etc. Query Optimizer Helps interpret SQL queries and determine the fastest method of execution. Show More ##### ## Support (4) Text Search Provides support for international character sets and full text search. Data Types Supports multiple data types like primitive, structured, document etc. Languages Supports multiple procedural programming languages like PL/PGSQL, Perl, Python etc. Operating Systems Available on multiple operating systems like Linux, Windows, MacOS etc. Show More ##### ## Security (10) Database Locking Prevents other users and applications from accessing data while it is being updated to avoid data loss or update. Access Control Allows permissions to be granted or revoked in the database, schema or table levels. Encryption Built-in native encryption with enterprise key management. Authentication Provides multi-factor authentication with certificates. Data Governance Policies, procedures and standards to manage and access data. Data Security Restricts data access at a cell level, mask or hide parts of cells, and encrypt data at rest and in motion Role-Based Authorization Provides predefined system roles, privileges, and user-defined roles to users. Authentication Allows integration with external security mechanisms like Kerberos, LDAP authentication etc. Audit Logs Provides an audit log to track access and operations performed on databases for regulatory compliance. Encryption Provides encryption capability for all the data at rest using encryption keys. Show More ##### ## Management (4) Data Schema Data is organized as a set of tables with columns and rows like a table structure. Query Language Allows users to create, update and retrieve data in a database. ACID - Complaint Adheres to ACID (atomicity, consistency, isolation, durability), a set of database transaction properties. Data Replication Provides log-based or/and trigger-based replication. Show More ##### ## Storage (2) Data Model Stores data tables as columns. Data Types Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc. Show More ##### ## Availability (3) Auto Sharding Implements auto horizontal data partitioning that allows storing data on more than one node to scale out. Auto Recovery Restores a database to a correct (consistent) state in the event of a failure. Data Replication Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc. Show More ##### ## Performance (1) Integrated Cache Stores frequently-used data in system memory quickly. Show More ##### ## Support (2) Multi-Model Provides support to store, index and query data in more than one format. Operating Systems Available on multiple operating systems like Linux, Windows, MacOS etc. Show More ##### ## Query latency (2) Lower query latency Aids in faster processing of query to obtain results. Continuous queries Enables faster queries and search engine-like workloads. Show More ##### ## Data latency (2) Lower data latency Enables the user to track the time taken for data to be generated and available for processing Data pipeline performance Aids in monitoring and reporting data pipeline performance. Show More ##### ## Connectors (2) Faster ingestion Manages in building pipelines between two protocols. Built-in connectors Allows continuous data ingestion directly from the data source. Show More ##### ## Scale (2) Linearly scalable database Aids the database in scaling horizontally and vertically in petabytes. Storage management Helps store the data in fixed size segments called vectors for better management. Show More ##### ## Architecture (2) Data security Enables ingesting data efficiently and securely. Lockless architecture Allows concurrent access to data without the use of any table locks. Show More ##### ## Generative AI (2) AI Text Generation Allows users to generate text based on a text prompt. AI Text Summarization Condenses long documents or text into a brief summary. 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