Audience
Enterprises wanting a solution to deploy and run their data platforms on their sovereign Kubernetes.
About Stackable
The Stackable data platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka, Apache Druid, Trino, and Apache Spark. While other current offerings either push their proprietary solutions or deepen vendor lock-in, Stackable takes a different approach. All data apps work together seamlessly and can be added or removed in no time. Based on Kubernetes, it runs everywhere, on-prem or in the cloud. stackablectl and a Kubernetes cluster are all you need to run your first stackable data platform. Within minutes, you will be ready to start working with your data. Configure your one-line startup command right here. Similar to kubectl, stackablectl is designed to easily interface with the Stackable Data Platform. Use the command line utility to deploy and manage stackable data apps on Kubernetes. With stackablectl, you can create, delete, and update components.
Other Popular Alternatives & Related Software
Hiro Game Development
Hiro is a client-server library built on the Nakama game server to rapidly and flexibly add economy, social, and LiveOps features to your game. It is available as a C# library for Unity Engine, a C++ library for Unreal Engine, and a server package that integrates with the game server. Hiro offers a comprehensive suite of battle-tested metagame features that are quick to implement, allowing developers to focus more on the core gameplay experience. Add base and loot table rewards for players to collect; integrate soft or real currency purchases; define stackable and consumable gameplay items; initialize and manage multiple currencies within the game economy. Adapt store bundles and offer walls based on player behavior; personalize various aspects of the player experience through experiments; schedule live events for players to participate in and earn exclusive rewards. Start and schedule timed or scored events with exclusive rewards; enable players to request and share inventory.
Learn more
Canvas Credentials
Digital badging can be complex. Canvas Credentials makes it easy. Accelerate your goals with a solution that will validate competencies, drive engagement, improve completion, and increase enrollment. Increase student enrollment and retention rates while providing a seamless way for learners to record and share their validated skills and achievements with future employers. Canvas Credentials, the world’s most open and inclusive digital credentialing network. Join us in creating a more equitable world through verified achievements and skills. Seamlessly issue data-rich, shareable, and verifiable badges with Canvas Credentials, the only open digital credentialing solution with visual and stackable learning pathways. Able to integrate credentials from other platforms, learners curate & showcase skills & achievements while employers & educators verify & leverage skills data to meet education & workforce goals.
Learn more
Apache Druid
Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures.
Learn more
E-MapReduce
EMR is an all-in-one enterprise-ready big data platform that provides cluster, job, and data management services based on open-source ecosystems, such as Hadoop, Spark, Kafka, Flink, and Storm. Alibaba Cloud Elastic MapReduce (EMR) is a big data processing solution that runs on the Alibaba Cloud platform. EMR is built on Alibaba Cloud ECS instances and is based on open-source Apache Hadoop and Apache Spark. EMR allows you to use the Hadoop and Spark ecosystem components, such as Apache Hive, Apache Kafka, Flink, Druid, and TensorFlow, to analyze and process data. You can use EMR to process data stored on different Alibaba Cloud data storage service, such as Object Storage Service (OSS), Log Service (SLS), and Relational Database Service (RDS). You can quickly create clusters without the need to configure hardware and software. All maintenance operations are completed on its Web interface.
Learn more
Pricing
Starting Price:
Free
Free Version:
Free Version available.
Integrations
Company Information
Stackable
Founded: 2020
Germany
stackable.tech/
Videos and Screen Captures
Other Useful Business Software
Level Up Your Cyber Defense with External Threat Management
Move beyond alerts. Gain full visibility, context, and control over your external attack surface to stay ahead of every threat.
Product Details
Platforms Supported
Cloud
On-Premises
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
24/7 Live Support
Online
Stackable Frequently Asked Questions
Stackable Product Features
Data Management
Data Migration
Data Security
Customer Data
Data Analysis
Data Capture
Data Integration
Data Quality Control
Information Governance
Master Data Management
Match & Merge
Data Warehouse
Analytics
Data Integration
Data Migration
ETL - Extract / Transfer / Load
Ad hoc Query
Data Quality Control
In-Memory Processing
Match & Merge
