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Average Ratings 0 Ratings
Description
Apache Druid is a distributed data storage solution that is open source. Its fundamental architecture merges concepts from data warehouses, time series databases, and search technologies to deliver a high-performance analytics database capable of handling a diverse array of applications. By integrating the essential features from these three types of systems, Druid optimizes its ingestion process, storage method, querying capabilities, and overall structure. Each column is stored and compressed separately, allowing the system to access only the relevant columns for a specific query, which enhances speed for scans, rankings, and groupings. Additionally, Druid constructs inverted indexes for string data to facilitate rapid searching and filtering. It also includes pre-built connectors for various platforms such as Apache Kafka, HDFS, and AWS S3, as well as stream processors and others. The system adeptly partitions data over time, making queries based on time significantly quicker than those in conventional databases. Users can easily scale resources by simply adding or removing servers, and Druid will manage the rebalancing automatically. Furthermore, its fault-tolerant design ensures resilience by effectively navigating around any server malfunctions that may occur. This combination of features makes Druid a robust choice for organizations seeking efficient and reliable real-time data analytics solutions.
Description
Actian Vector is a high-performance, vectorized columnar analytics database that has consistently excelled as a performance leader in the TPC-H decision support benchmark for the past five years. It offers full compliance with the industry-standard ANSI SQL:2003 and supports an extensive range of data formats, alongside features for updates, security, management, and replication. Renowned as the fastest analytic database in the industry, Actian Vector's capability to manage continuous updates without sacrificing performance allows it to function effectively as an Operational Data Warehouse (ODW), seamlessly integrating the most recent business data into analytic decision-making processes. The database delivers outstanding performance while maintaining full ACID compliance, all on standard hardware, and provides the flexibility to be deployed on-premises or in cloud environments such as AWS or Azure, requiring minimal database tuning. Additionally, Actian Vector is compatible with Microsoft Windows for single-server deployment, and it comes equipped with Actian Director for user-friendly GUI management, as well as a command line interface for efficient scripting, making it a comprehensive solution for analytics needs. This combination of robust features and performance promises to enhance your data analysis capabilities significantly.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Amundsen
Apache Airflow
Apache Kafka
Astro by Astronomer
Azure Marketplace
DataHub
Emgage
Hue
Manticore Search
Integrations
Amazon Web Services (AWS)
Amundsen
Apache Airflow
Apache Kafka
Astro by Astronomer
Azure Marketplace
DataHub
Emgage
Hue
Manticore Search
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Druid
Founded
2013
Website
druid.apache.org/technology
Vendor Details
Company Name
Actian
Founded
2005
Country
United States
Website
www.actian.com/analytic-database/vector-analytic-database/
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
Relational Database
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates