Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
IBM Analytics for Apache Spark offers a versatile and cohesive Spark service that enables data scientists to tackle ambitious and complex inquiries while accelerating the achievement of business outcomes. This user-friendly, continually available managed service comes without long-term commitments or risks, allowing for immediate exploration. Enjoy the advantages of Apache Spark without vendor lock-in, supported by IBM's dedication to open-source technologies and extensive enterprise experience. With integrated Notebooks serving as a connector, the process of coding and analytics becomes more efficient, enabling you to focus more on delivering results and fostering innovation. Additionally, this managed Apache Spark service provides straightforward access to powerful machine learning libraries, alleviating the challenges, time investment, and risks traditionally associated with independently managing a Spark cluster. As a result, teams can prioritize their analytical goals and enhance their productivity significantly.
Description
Orchesty is developer-first infrastructure for building and operating mission-critical system integrations, high-volume asynchronous data flows and governed AI-agent processes.
Instead of locking integration logic inside a closed workflow runtime, Orchesty provides scalable microservice-based infrastructure for distributed execution, persistent messaging, retries, throttling and scaling, with advanced observability, tracing, authorization and auditing on top.
Orchesty is source-available and can run in the managed cloud, self-hosted or on-premise. Its SDK, connectors and integration components are open source, giving engineering teams full control over how integrations are built and extended.
Developers can use Orchesty's AI ruleset with their own coding agents to build new connectors, components and complete integrations in minutes while keeping full control of the generated code.
Through Pulse and MCP, the same infrastructure is available to AI agents. Orchesty provides governed access to approved business processes with authorization, auditability, deterministic execution and support for data volumes that should stay outside the model context.
For SaaS vendors, Applinth adds multitenant integration capabilities and enables white-label integration marketplaces built on the same infrastructure.
Built for engineering teams, SaaS vendors, system integrators and enterprises that need integration infrastructure they can actually control.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
AWS Lambda
No
Airtable
No
Allegro
No
Apache Spark
Yes
Asana
No
ClickUp
No
Dropbox
No
Gmail
No
Google Calendar
No
Google Sheets
No
Integrations
AWS Lambda
Yes
Airtable
Yes
Allegro
Yes
Apache Spark
No
Asana
Yes
ClickUp
Yes
Dropbox
Yes
Gmail
Yes
Google Calendar
Yes
Google Sheets
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
€22 /month
Starter from €22/month. Pro plans start at €82/month. Enterprise pricing is custom. A free self-hosted Community Edition is also available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/analytics/ca/en/technology/cloud-data-services/spark-as-a-service/
Vendor Details
Company Name
Orchesty
Founded
2012
Country
Czech Republic
Website
orchesty.io
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Integration
Dashboard
No
ETL - Extract / Transform / Load
No
Metadata Management
No
Multiple Data Sources
No
Web Services
No
Product Features
Integration
Dashboard
Yes
ETL - Extract / Transform / Load
No
Metadata Management
No
Multiple Data Sources
Yes
Web Services
Yes