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What is Peaka?

Consolidate all of your data sources, including relational databases, NoSQL systems, SaaS tools, and APIs, so you can query them seamlessly as a single data entity in real-time. Process information at its origin instantly, enabling you to cache, query, and integrate data from diverse sources without interruption. Leverage webhooks to incorporate live streaming data from services such as Kafka and Segment directly into the Peaka BI Table, moving away from outdated nightly batch processes to ensure immediate data availability. Treat every data source like a relational database by converting any API into a table that can be easily joined with other datasets. Use standard SQL syntax to perform queries within NoSQL environments, allowing access to both SQL and NoSQL databases with the same expertise. Aggregate your data for querying and refinement into new datasets, which you can then share through APIs to facilitate connections with other applications and systems. Simplify the configuration of your data stack without getting lost in scripts and logs, thereby eliminating the challenges linked to the construction, management, and upkeep of ETL pipelines. This strategy not only boosts operational efficiency but also enables teams to concentrate on extracting valuable insights instead of getting entangled in technical obstacles, ultimately leading to a more productive workflow. By embracing this integrated approach, organizations can better adapt to the fast-paced demands of modern data management.

What is DbVisualizer?

DbVisualizer stands out as a highly favored database client globally. It is utilized by developers, analysts, and database administrators to enhance their SQL skills through contemporary tools designed for visualizing and managing databases, schemas, objects, and table data, while also enabling the automatic generation, writing, and optimization of queries. With comprehensive support for over 30 prominent databases, it also offers fundamental support for any database that can be accessed via a JDBC driver. Compatible with all major operating systems, DbVisualizer is accessible in both free and professional versions, catering to a wide range of user needs. This versatility makes it an essential tool for anyone looking to improve their database management efficiency.

Media

Media

Integrations Supported

Amazon Redshift
Apache Cassandra
ClickHouse
Databricks
Elasticsearch
Google Cloud BigQuery
Greenplum
IBM Cloudant
IBM Db2
IBM Informix
MariaDB
MongoDB
MySQL
Oracle Cloud Infrastructure
PostgreSQL
Python
Salesforce
SingleStore
Snowflake
Teradata VantageCloud

Integrations Supported

Amazon Redshift
Apache Cassandra
ClickHouse
Databricks
Elasticsearch
Google Cloud BigQuery
Greenplum
IBM Cloudant
IBM Db2
IBM Informix
MariaDB
MongoDB
MySQL
Oracle Cloud Infrastructure
PostgreSQL
Python
Salesforce
SingleStore
Snowflake
Teradata VantageCloud

API Availability

Has API

API Availability

Has API

Pricing Information

$1 per month
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Peaka

Date Founded

2020

Company Location

United States

Company Website

www.peaka.com

Company Facts

Organization Name

DbVisualizer

Date Founded

2003

Company Location

Sweden

Company Website

www.dbvis.com

Categories and Features

iPaaS

AI / Machine Learning
Cloud Data Integration
Dashboard
Data Quality Control
Data Security
Drag & Drop
Embedded iPaaS
Integration Management
Pre-Built Connectors
White Label
Workflow Management

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

IDE

Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor

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