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Description
Ensure that every modification you implement is recorded. Utilize version history to easily switch between iterations, confirming that your API operates without issues. Our infrastructure, optimized for subgraph pre-caching, enables customers to experience indexing speeds that are up to three times faster, all without requiring any code alterations. You can create streams using SQL from subgraphs and other data streams, achieving persistent aggregations with zero latency, accessible through bridges. We offer sub-second, reorganization-aware ETL capabilities to various tools such as Hasura, Timescale, and Elasticsearch, among others. Combine subgraphs from different chains into a single stream, allowing you to perform costly aggregations in just milliseconds. Stack streams on top of one another, integrate with off-chain data, and establish a distinctive real-time perspective of the blockchain. Execute reliable webhooks, conduct analytical queries, and utilize fuzzy search features, among other functionalities. Furthermore, you can connect streams and subgraphs to databases like Timescale and Elasticsearch, or directly to a hosted GraphQL API, expanding your data handling capabilities. This comprehensive approach ensures that your data processing remains efficient and effective.
Description
A streaming database is specifically designed to efficiently ingest, store, process, and analyze large volumes of data streams. This advanced data infrastructure integrates messaging, stream processing, and storage to enable real-time value extraction from your data. It continuously handles vast amounts of data generated by diverse sources, including sensors from IoT devices. Data streams are securely stored in a dedicated distributed streaming data storage cluster that can manage millions of streams. By subscribing to topics in HStreamDB, users can access and consume data streams in real-time at speeds comparable to Kafka. The system also allows for permanent storage of data streams, enabling users to replay and analyze them whenever needed. With a familiar SQL syntax, you can process these data streams based on event-time, similar to querying data in a traditional relational database. This functionality enables users to filter, transform, aggregate, and even join multiple streams seamlessly, enhancing the overall data analysis experience. Ultimately, the integration of these features ensures that organizations can leverage their data effectively and make timely decisions.
API Access
Has API
API Access
Has API
Integrations
Apache Spark
Avalanche
Azure Databricks
Elastic Cloud
Ethereum
GraphQL
Manta Network
MongoDB
Oracle Fusion Cloud ERP
Polygon
Integrations
Apache Spark
Avalanche
Azure Databricks
Elastic Cloud
Ethereum
GraphQL
Manta Network
MongoDB
Oracle Fusion Cloud ERP
Polygon
Pricing Details
No price information available.
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
Goldsky
Website
goldsky.com
Vendor Details
Company Name
EMQ
Founded
2013
Country
United States
Website
hstream.io
Product Features
Product Features
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
