Average Ratings 0 Ratings
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
biGENIUS automates all phases of analytic data management solutions (e.g. data warehouses, data lakes and data marts. thereby allowing you to turn your data into a business as quickly and cost-effectively as possible. Your data analytics solutions will save you time, effort and money. Easy integration of new ideas and data into data analytics solutions. The metadata-driven approach allows you to take advantage of new technologies. Advancement of digitalization requires traditional data warehouses (DWH) as well as business intelligence systems to harness an increasing amount of data. Analytical data management is essential to support business decision making today. It must integrate new data sources, support new technologies, and deliver effective solutions faster than ever, ideally with limited resources.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Acryl Data
Yes
Apache Superset
Yes
Azure Marketplace
Yes
CelerData Cloud
Yes
Cloudera Data Warehouse
Yes
DataHub
Yes
Deep.BI
Yes
Emgage
Yes
Git
No
Gravity Data
Yes
Integrations
Acryl Data
No
Apache Superset
No
Azure Marketplace
No
CelerData Cloud
No
Cloudera Data Warehouse
No
DataHub
No
Deep.BI
No
Emgage
No
Git
Yes
Gravity Data
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
833CHF/seat/month
Essential, Professional, and Enterprise subscription plans available
Non-Commercial license: free for personal use
Non-Commercial license: free for personal use
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Druid
Founded
2013
Website
druid.apache.org/technology
Vendor Details
Company Name
biGENIUS AG
Founded
2011
Country
Switzerland
Website
www.bigenius-x.com
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No
Relational Database
ACID Compliance
No
Data Failure Recovery
No
Multi-Platform
No
Referential Integrity
No
SQL DDL Support
No
SQL DML Support
No
System Catalog
No
Unicode Support
No
Product Features
Big Data
Collaboration
Yes
Data Blends
No
Data Cleansing
Yes
Data Mining
No
Data Visualization
No
Data Warehousing
Yes
High Volume Processing
No
No-Code Sandbox
Yes
Predictive Analytics
No
Templates
Yes
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
Yes
Data Quality Control
Yes
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No