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ease
features
design
support

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Description

Aqua Data Studio is a versatile, integrated development environment (IDE) designed for handling data across multiple platforms. It offers significant advantages to various data-oriented professionals by enabling them to efficiently manage a broad spectrum of data sources. This tool enhances productivity for IT specialists and those in data-focused roles, such as developers, database administrators, data analysts, data modelers, and data architects. By streamlining laborious operations related to SQL queries, data manipulation, result sets, schema management, data modeling, file handling, instance management, and server automation, it facilitates a more efficient workflow. Aqua Data Studio is compatible with the three major operating systems: Microsoft Windows, Apple macOS, and Linux, making it accessible to a wide user base. Furthermore, the application boasts a user-friendly graphical interface that supports nine of the most widely spoken languages, including English, Spanish, French, German, Korean, Portuguese, Japanese, and Chinese. Additionally, Aqua Data Studio is capable of interfacing with over 40 popular data source platforms, which encompass relational databases, NoSQL systems, and managed cloud data sources, thereby broadening its appeal and usability in the data management landscape. Ultimately, this makes Aqua Data Studio an invaluable asset for those who seek to optimize their data handling processes.

Description

Unify all your data sources, encompassing both relational and NoSQL databases, SaaS applications, and APIs, allowing you to query them as if they were a single data entity instantly. Process data at its source without delay, enabling you to query, cache, and merge information from various origins seamlessly. Utilize webhooks to bring in real-time streaming data from platforms like Kafka and Segment into the Peaka BI Table, moving away from the traditional nightly batch ingestion in favor of immediate data accessibility. Approach every data source as though it were a relational database, transforming any API into a table that can be integrated and joined with your other datasets. Employ familiar SQL syntax to execute queries in NoSQL environments, allowing you to access data from both SQL and NoSQL databases using the same skill set. Consolidate your data to query and refine it into new sets, which you can then expose through APIs to support other applications and systems. Streamline your data stack setup without becoming overwhelmed by scripts and logs, and remove the complexities associated with building, managing, and maintaining ETL pipelines. This approach not only enhances efficiency but also empowers teams to focus on deriving insights rather than being bogged down by technical hurdles.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon RDS Yes 
Amazon Redshift Yes 
Apache Cassandra Yes 
IBM Db2 Yes 
IBM Informix Yes 
MariaDB Yes 
Microsoft Excel Yes 
MongoDB Yes 
MySQL Yes 
PostgreSQL Yes 
SAP HANA Yes 
Snowflake Yes 
Elorus No 
Freshteam No 
Google Analytics 360 No 
IBM Cloudant No 
Microsoft Project No 
Reckon One No 
SolarWinds Pingdom No 

Integrations

Amazon RDS Yes 
Amazon Redshift Yes 
Apache Cassandra Yes 
IBM Db2 Yes 
IBM Informix Yes 
MariaDB Yes 
Microsoft Excel Yes 
MongoDB Yes 
MySQL Yes 
PostgreSQL Yes 
SAP HANA Yes 
Snowflake Yes 
Elorus Yes 
Freshteam Yes 
Google Analytics 360 Yes 
IBM Cloudant Yes 
Microsoft Project Yes 
Reckon One Yes 
SolarWinds Pingdom Yes 

Pricing Details

$499 per user per year
USD 499 for 1 user for 1-year subscription; discounts for multiple users and multiple-year subscriptions
Free Trial Yes 
Free Version No 

Pricing Details

$1 per month
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook 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 

Customer Support

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

Types of Training

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

Vendor Details

Company Name

AquaFold, an Idera, Inc. company

Founded

2001

Country

United States

Website

www.aquafold.com/aquadatastudio

Vendor Details

Company Name

Peaka

Founded

2020

Country

United States

Website

www.peaka.com

Product Features

Data Analysis

Data Discovery No 
Data Visualization Yes 
High Volume Processing No 
Predictive Analytics Yes 
Regression Analysis Yes 
Sentiment Analysis No 
Statistical Modeling Yes 
Text Analytics No 

Data Visualization

Analytics Yes 
Content Management No 
Dashboard Creation No 
Filtered Views Yes 
OLAP No 
Relational Display Yes 
Simulation Models No 
Visual Discovery No 

Database

Backup and Recovery No 
Creation / Development No 
Data Migration No 
Data Replication No 
Data Search No 
Data Security No 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries Yes 
Relational Interface Yes 
Virtualization No 

IDE

Code Completion Yes 
Compiler No 
Cross Platform Support Yes 
Debugger Yes 
Drag and Drop UI Yes 
Integrations and Plugins Yes 
Multi Language Support Yes 
Project Management No 
Text Editor / Code Editor Yes 

Product Features

iPaaS

AI / Machine Learning No 
Cloud Data Integration No 
Dashboard No 
Data Quality Control No 
Data Security No 
Drag & Drop No 
Embedded iPaaS No 
Integration Management No 
Pre-Built Connectors No 
White Label No 
Workflow Management No 

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