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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Pinot is built to efficiently handle OLAP queries on static data with minimal latency. It incorporates various pluggable indexing methods, including Sorted Index, Bitmap Index, and Inverted Index. While it currently lacks support for joins, this limitation can be mitigated by utilizing Trino or PrestoDB for querying purposes. The system offers an SQL-like language that enables selection, aggregation, filtering, grouping, ordering, and distinct queries on datasets. It comprises both offline and real-time tables, with real-time tables being utilized to address segments lacking offline data. Additionally, users can tailor the anomaly detection process and notification mechanisms to accurately identify anomalies. This flexibility ensures that users can maintain data integrity and respond proactively to potential issues.

Description

We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Kafka Yes 
Amazon S3 Yes 
Apache Spark No 
Azure DevOps Server No 
Azure Synapse Analytics No 
Cloudera No 
Cloudera Data Platform No 
Databricks No 
Firebird No 
Jira No 
Kestra Yes 
MariaDB No 
Microsoft Excel No 
Onehouse Yes 
OpenMetadata Yes 
Oracle Database No 
Percona Server for MySQL No 
PostgreSQL No 
SAP HANA No 
Vertica No 

Integrations

Apache Kafka Yes 
Amazon S3 No 
Apache Spark Yes 
Azure DevOps Server Yes 
Azure Synapse Analytics Yes 
Cloudera Yes 
Cloudera Data Platform Yes 
Databricks Yes 
Firebird Yes 
Jira Yes 
Kestra No 
MariaDB Yes 
Microsoft Excel Yes 
Onehouse No 
OpenMetadata No 
Oracle Database Yes 
Percona Server for MySQL Yes 
PostgreSQL Yes 
SAP HANA Yes 
Vertica Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

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 No 
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 Yes 
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 No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Apache Corporation

Founded

1954

Country

United Statess

Website

pinot.apache.org

Vendor Details

Company Name

YouNeedIT

Founded

2013

Country

Poland

Website

www.querona.com

Product Features

Big Data

Collaboration Yes 
Data Blends Yes 
Data Cleansing Yes 
Data Mining No 
Data Visualization No 
Data Warehousing Yes 
High Volume Processing Yes 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Data Extraction

Disparate Data Collection Yes 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction Yes 
Image Extraction No 
Phone Number Extraction Yes 
Pricing Extraction No 
Web Data Extraction No 

Data Fabric

Data Access Management Yes 
Data Analytics No 
Data Collaboration Yes 
Data Lineage Tools Yes 
Data Networking / Connecting Yes 
Metadata Functionality Yes 
No Data Redundancy No 
Persistent Data Management No 

Data Warehouse

Ad hoc Query Yes 
Analytics No 
Data Integration Yes 
Data Migration Yes 
Data Quality Control Yes 
ETL - Extract / Transfer / Load Yes 
In-Memory Processing No 
Match & Merge No 

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