Top 9 Databases in Postgres

1

InfluxData

• High Performance - InfluxData's InfluxDB is designed to handle high write and query loads, making it suitable for time-series data and real-time applications.
• Open-Source - The core InfluxDB product is open-source, allowing for transparency, community contributions, and the option to self-host the database.
• Scalability - InfluxDB offers horizontal scalability, enabling users to handle increasing volumes of data efficiently through clustering.
• Built-In Data Processing - InfluxData offers integrated tools for data processing and scripting, such as Kapacitor for real-time processing and Flux for advanced querying.
• Rich Ecosystem - InfluxData provides a comprehensive ecosystem including Telegraf for data collection, Chronograf for visualization, and Kapacitor for alerting and processing.

#Data Dashboard #Big Data #Big Data Tools 2 social mentions

Data Analytic System

• Live market data - Crypto, equity indices, FX and commodities — every panel names its source and date
• MiCA / CASP tracker - EU exchange authorisation status based on ESMA registers
• Market Observation Pro - 20 custom price levels, CSV and JSON export (free tier: same data, no delay)
• Learning modules and glossary - 8 free modules, free glossary, Kripto Akademia (50 assets, 12 categories)
• Documentary studies and e-books - RIPPLE study with sourced claims; PDF + audiobook; EN, HU, ES

#Finance #Cryptocurrencies #Data Analysis Featured

2

TimescaleDB

• Scalability - TimescaleDB offers excellent horizontal and vertical scalability, which allows it to handle large volumes of data efficiently. Its architecture is designed to accommodate growth by distributing and efficiently managing data shards.
• Time-Series Data Optimization - Specifically optimized for time-series data, TimescaleDB provides features like hypertables and continuous aggregates that speed up queries and optimize storage for time-based data.
• SQL Compatibility - As an extension of PostgreSQL, TimescaleDB offers full SQL support, making it familiar to developers and allowing easy integration with existing SQL-based systems and applications.
• Retention Policies - TimescaleDB includes built-in data retention policies, enabling automatic management of historical data and freeing up storage by performing automatic data roll-ups or deletes.
• Integration with the PostgreSQL Ecosystem - It benefits from PostgreSQL's rich ecosystem of extensions, tools, and optimizations, allowing for versatile use cases beyond just time-series data while maintaining robust reliability and performance.

#Databases #Postgres #Time Series Database 5 social mentions

3

Navicat for PostgreSQL

• User-Friendly Interface - Navicat for PostgreSQL offers a highly intuitive and user-friendly interface that simplifies database management and reduces the learning curve for new users.
• Comprehensive Functionality - The software provides a wide range of features such as data modeling, data synchronization, backup, and query building, which makes it a complete solution for PostgreSQL management.
• Cross-Platform Compatibility - Navicat supports multiple operating systems including Windows, macOS, and Linux, allowing users to work seamlessly across different environments.
• Automation Support - With features like scheduled backups and batch job scheduling, Navicat automates routine tasks, saving time and reducing the likelihood of human error.
• Secure Connection - Navicat provides secure connections with SSL and SSH tunneling, ensuring that database interactions are safe and protected from unauthorized access.

#Databases #MySQL Tools #Database Management

4

Heroku Postgres

• Scalability - Heroku Postgres offers seamless vertical and horizontal scaling, allowing you to handle increased loads without significant changes to your application.
• Managed Service - Heroku manages the database infrastructure, which includes automated backups, software updates, and security patches, reducing the operational overhead.
• Integration - Heroku Postgres integrates well with other Heroku services and add-ons, facilitating a smoother development and deployment workflow.
• High Availability - It provides high availability features like automated failover and redundancy to minimize downtime and ensure consistent performance.
• Monitoring Tools - Includes several built-in tools for monitoring database performance, which help you identify and troubleshoot issues efficiently.

#Databases #NoSQL Databases #Relational Databases

5

dbForge Studio for PostgreSQL

• Intelligent SQL coding
• Query Profiler
• Database comparison and synchronization
• Data export and import
• PostgreSQL database migration

#Databases #Database Tools #Database Management

6

OpenTSDB

• Scalable - OpenTSDB is designed to handle large volumes of time series data, making it suitable for environments that require scalability.
• High Performance - It can efficiently process and query vast amounts of data quickly due to its write-optimized storage and architecture.
• Real-time Analytics - OpenTSDB supports real-time data collection and analysis, providing immediate insights into system performance and metrics.
• Integration with Hadoop - It is built on top of HBase, allowing seamless integration with Hadoop ecosystems to leverage distributed storage and processing.
• Customizable Queries - OpenTSDB provides a powerful query language that enables users to customize and execute complex queries on time series data.

#Databases #Relational Databases #Postgres 1 social mentions

7

Citus Data

• Scalability - Citus Data can scale out across multiple nodes, allowing for horizontal scaling of PostgreSQL. This facilitates handling large volumes of data and high traffic loads efficiently.
• Distributed SQL - It transforms PostgreSQL into a distributed database, enabling users to run parallel queries across a cluster, which can lead to significant performance improvements.
• PostgreSQL Extension - As an extension to PostgreSQL, Citus leverages the reliability, robustness, and the rich ecosystem of PostgreSQL, allowing users to continue using familiar PostgreSQL tools and extensions.
• High Availability - Citus Data provides high availability and disaster recovery options, ensuring that systems can remain operational even during failures.
• Flexible Data Distribution - Citus allows flexible data distribution methods like sharding, enabling efficient query executions by dividing data across nodes based on application-specific needs.

#Databases #Relational Databases #Postgres

8

RapidApp.io

• Rapid development - As the name suggests, RapidApp.io is designed to speed up application development through low-code/no-code tools, allowing users to build apps faster than traditional coding methods.
• User-friendly interface - The platform typically offers an intuitive drag-and-drop interface, making it accessible to users with limited technical or coding backgrounds.
• Pre-built templates and components - Availability of templates and reusable components can help accelerate the design and deployment process for common app types.
• Integration capabilities - Many low-code platforms like RapidApp.io offer integrations with third-party services, databases, and APIs, enabling more functional and connected applications.
• Cost-effective for small projects - For startups or small businesses, using a platform like this can reduce development costs compared to hiring a full development team for simple applications.

#Databases #SQL #Postgres

9

peewee

#Databases #Database Tools #Database Management 10 social mentions

Grapple

• Universal Data Library - Automatic data modeling ensures your data is clean and queryable
• Map Data - Combine, merge, and map data from across disparate sources for a full picture of your business.
• Automatic Data Refresh - Hourly data refresh from your favorite apps like Salesforce, Hubspot, Zendesk, Stripe, and more!
• Natural Language - Filter, visualize, and calculate with just your words—no SQL required.
• AI Data Scientist - Create custom calculations and aggregations across multiple sources without writing any SQL or formulas

#Data Dashboard #Data Visualization #Data Analysis Featured