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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Condense, developed by Zeliot, is a comprehensive real-time data streaming solution that integrates fully managed Apache Kafka with all necessary components to create and operate event-driven applications seamlessly. By providing a unified platform, teams can avoid the hassle of integrating multiple tools, as Condense offers managed Kafka clusters, customizable transforms, deployment pipelines, and monitoring capabilities, all securely hosted within their chosen cloud environment (AWS, Azure, or GCP) to ensure data remains protected. Additionally, Condense features Vapr, an autonomous AI supervisor designed to manage specialized agents for tasks related to Kafka, Kubernetes, Grafana, and coding, significantly reducing the operational burden associated with maintaining streaming infrastructure. Proven in demanding production settings, Condense effectively supports various industries such as connected vehicle platforms, automotive OEM telematics, electric vehicle fleets, logistics, travel and hospitality, healthcare, and fintech, processing billions of events daily and showcasing its reliability and efficiency across diverse applications. The platform's ability to streamline event-driven processes while ensuring security makes it an invaluable asset for organizations aiming to harness real-time data effectively.

Description

The Stackable data platform was crafted with a focus on flexibility and openness. It offers a carefully selected range of top-notch open source data applications, including Apache Kafka, OpenSearch, Trino, and Apache Spark. Unlike many competitors that either promote their proprietary solutions or enhance vendor dependence, Stackable embraces a more innovative strategy. All data applications are designed to integrate effortlessly and can be added or removed with remarkable speed. Built on Kubernetes, it is capable of operating in any environment, whether on-premises or in the cloud. To initiate your first Stackable data platform, all you require is stackablectl along with a Kubernetes cluster. In just a few minutes, you will be poised to begin working with your data. You can set up your one-line startup command right here. Much like kubectl, stackablectl is tailored for seamless interaction with the Stackable Data Platform. Utilize this command line tool for deploying and managing stackable data applications on Kubernetes. With stackablectl, you have the ability to create, delete, and update components efficiently, ensuring a smooth operational experience for your data management needs. The versatility and ease of use make it an excellent choice for developers and data engineers alike.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Apache Airflow
Apache Druid
Apache HBase
Apache Hive
Apache Iceberg
Apache Kafka
Apache NiFi
Apache Spark
Apache ZooKeeper
Docker
Git
Kubernetes
MinIO
OpenSearch
Prometheus
Trino

Integrations

Apache Airflow
Apache Druid
Apache HBase
Apache Hive
Apache Iceberg
Apache Kafka
Apache NiFi
Apache Spark
Apache ZooKeeper
Docker
Git
Kubernetes
MinIO
OpenSearch
Prometheus
Trino

Pricing Details

$40/month
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Zeliot

Founded

2018

Country

India

Website

www.zeliot.in

Vendor Details

Company Name

Stackable

Founded

2020

Country

Germany

Website

stackable.tech/

Product Features

Product Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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No Alternatives

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