Software Alternatives, Accelerators & Startups

Hydra Postgres Analytics VS ReductStore

Compare Hydra Postgres Analytics VS ReductStore and see what are their differences

Hydra Postgres Analytics logo Hydra Postgres Analytics

Hydra is an open source, column-oriented Postgres. Query billions of rows instantly, no code changes.

ReductStore logo ReductStore

The #1 Time-Series Object Store for AI Data Infrastructure
Not present
  • ReductStore Web Console
    Web Console //
    2024-02-01

ReductStore is a high-throughput, time-series object store optimized for edge computing and AI/ML workflows, delivering tailored solutions for managing sequential data efficiently at scale.

ReductStore

$ Details
freemium $150.0 / Annually (per 1 Tb stored data.)
Platforms
Linux Windows Mac OSX
Release Date
2022 February

Hydra Postgres Analytics features and specs

  • Scalability
    Hydra Postgres Analytics is designed to handle large volumes of data efficiently, making it suitable for organizations that need to process high data throughput.
  • Real-time Analysis
    The platform supports real-time data analysis, allowing users to gain insights from their data without significant delays, which is crucial for timely decision-making.
  • Postgres Compatibility
    Hydra is compatible with PostgreSQL, which is a widely used and respected database system. This compatibility allows for seamless integration with existing PostgreSQL databases.
  • User-friendly Interface
    It offers an intuitive and user-friendly interface that makes it accessible to both technical and non-technical users, reducing the learning curve.
  • Advanced Querying
    Hydra provides powerful querying capabilities, enabling complex data retrieval and manipulation without compromising on performance.

Possible disadvantages of Hydra Postgres Analytics

  • Cost
    Depending on the size and needs of the organization, the cost of using Hydra can be significant, particularly for smaller businesses with limited budgets.
  • Integration Complexity
    Integrating Hydra with existing systems and workflows might be complex and time-consuming, especially if those systems are not based on PostgreSQL.
  • Learning Curve
    While the interface is user-friendly, more advanced features of Hydra may require a learning curve for those unfamiliar with data analytics or PostgreSQL.
  • Limited Customization
    Some users may find that Hydra's customization options do not fully meet their unique business requirements, limiting its flexibility in certain scenarios.
  • Dependency on PostgreSQL
    Organizations not using PostgreSQL might find it challenging to adopt Hydra without migrating their existing databases, which can be a resource-intensive process.

ReductStore features and specs

  • HTTP API
  • Real Time FIFO bucket quota
  • No Object Size Limitation
  • Labeling
  • Batching
  • Data Replication

Category Popularity

0-100% (relative to Hydra Postgres Analytics and ReductStore)
Databases
53 53%
47% 47
NoSQL Databases
100 100%
0% 0
Time Series Database
53 53%
47% 47
Relational Databases
100 100%
0% 0

Questions and Answers

As answered by people managing Hydra Postgres Analytics and ReductStore.

What makes your product unique?

ReductStore's answer:

ReductStore is a time series database that is specifically designed for storing and managing large amounts of blob data. It boasts high performance for both writing and real-time querying, with the added benefit of batching data.

Which are the primary technologies used for building your product?

ReductStore's answer:

Rust, tokio, axios

Why should a person choose your product over its competitors?

ReductStore's answer:

ReductStore offers better performance and provides a retention policy based on disk usage and conditional append-only replication for your data reduction strategy.

How would you describe your primary audience?

ReductStore's answer:

Edge computing, computer vision, and IoT engineers

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Hydra Postgres Analytics and ReductStore

Hydra Postgres Analytics Reviews

We have no reviews of Hydra Postgres Analytics yet.
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ReductStore Reviews

  1. Info
    · Working at ReductStore ·
    Goot option for computer vision application

    ReductStore is an excellent choice for anyone looking for a powerful and reliable time series database for binary data. The user-friendly HTTP API makes it easy to work with, and the focus on edge computing ensures that data is always available when you need it. The ability to filter records using labels makes it easy to find the data you need quickly.

    👍 Pros:    Http api|No file size limit|Faster and cheaper than others|Handling metadata
    👎 Cons:    A new service

ReductStore vs. MinIO & InfluxDB on LTE Network: Who Really Wins the Speed Race?
ReductStore is a time series database designed specifically for storing and managing large amounts of blob data. It offers high performance for writing and real-time querying, making it suitable for edge computing, computer vision, and IoT applications. ReductStore is licensed under the Business Source License 1.1.
Performance comparison: ReductStore vs. Minio
ReductStore is a time series database designed specifically for storing and managing large amounts of blob data. It has high performance for writing and real-time querying, making it suitable for edge computing, computer vision, and IoT applications. ReductStore is 100% open source under Mozilla Public License v2.0.

Social recommendations and mentions

Based on our record, ReductStore should be more popular than Hydra Postgres Analytics. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Hydra Postgres Analytics mentions (1)

ReductStore mentions (3)

  • 3 Ways to Store Computer Vision Data
    When it comes to computer vision, data storage is a critical component. You need to be able to store images for model training, as well as the results of the processing for model validation. There are a few ways to go about this, each with its own advantages and disadvantages. In this post, we’ll take a look at three different ways to store data in computer vision applications: a file system, an S3-like object... - Source: dev.to / 8 months ago
  • Easy Guide to Integrating Kafka: Practical Solutions for Managing Blob Data
    ReductStore is a specialized time-series database designed for blob data, optimized for edge computing, computer vision, and IoT applications. - Source: dev.to / over 1 year ago
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    When seeking an on-premise alternative to LandingEdge for sophisticated edge computing and computer vision tasks, ReductStore emerges as a compelling solution. This Time-Series Database is tailored for Blob Data, emphasizing optimizations that cater to the unique demands of Edge Computing, IoT, and Computer Vision applications. - Source: dev.to / over 1 year ago

What are some alternatives?

When comparing Hydra Postgres Analytics and ReductStore, you can also consider the following products

Citus Data - Worry-free Postgres. Built to scale out, Citus distributes data & queries across nodes so your database can scale and your queries are fast. Available as a database as a service, as enterprise software, & as open source.

InfluxData - Scalable datastore for metrics, events, and real-time analytics.

Minio - Minio is an open-source minimal cloud storage server.

VictoriaMetrics - Fast, easy-to-use, and cost-effective time series database

Prometheus - An open-source systems monitoring and alerting toolkit.

TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.