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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.
Description
Connect your database to Statsbot, and within minutes, you'll have data relationships generated automatically, along with your initial insights. Capable of handling terabytes of raw data from numerous sources, Statsbot eliminates the need for prior data optimization or transformation. You can easily define your transformations using SQL and Javascript, avoiding the necessity of learning specialized languages or dealing with complicated interfaces. While data storage is affordable, executing queries can be costly; Statsbot addresses this issue by implementing a pre-aggregations layer that enhances query efficiency. Specifically designed to function with raw data in contemporary data warehouses, Statsbot not only performs real-time queries and transformations but also runs background processes to pre-aggregate intensive calculations. This transformation layer ensures that even complex reports are generated at remarkable speeds, making the overall data analysis experience seamless and efficient. Consequently, Statsbot significantly reduces the time and resources needed to derive insights from large datasets.
API Access
Has API
API Access
Has API
Integrations
Apache Spark
Azure Databricks
Elastic Cloud
Google Analytics
Lyftrondata
Microsoft Teams
Mixpanel
MongoDB
Oracle Fusion Cloud ERP
Presto
Integrations
Apache Spark
Azure Databricks
Elastic Cloud
Google Analytics
Lyftrondata
Microsoft Teams
Mixpanel
MongoDB
Oracle Fusion Cloud ERP
Presto
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$39 per month
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
EMQ
Founded
2013
Country
United States
Website
hstream.io
Vendor Details
Company Name
Statsbot
Founded
2016
Country
United States
Website
statsbot.co
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
Product Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics