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Description
Heroic is an open-source monitoring solution initially developed at Spotify to tackle challenges related to the large-scale collection and near real-time analysis of metrics. It comprises a limited number of specialized components that each serve distinct purposes. The system offers indefinite data retention, contingent upon adequate hardware investment, alongside federation capabilities that enable multiple Heroic clusters to connect and present a unified interface. A key component, Consumers, is tasked with the consumption of metrics, illustrating the system's design for efficiency. During the development of Heroic, it became evident that managing hundreds of millions of time series without sufficient context poses significant challenges. Additionally, the federation support facilitates the handling of requests across various independent Heroic clusters, allowing them to serve clients via a single global interface. This feature not only streamlines operations but also minimizes geographical traffic, as it allows individual clusters to function independently within their designated zones. Such capabilities ensure that Heroic remains a robust choice for organizations needing effective monitoring solutions.
Description
TimescaleDB brings the power of PostgreSQL to time-series and event data at any scale. It extends standard Postgres with features like automatic time-based partitioning (hypertables), incremental materialized views, and native time-series functions, making it the most efficient way to handle analytical workloads. Designed for use cases like IoT, DevOps monitoring, crypto markets, and real-time analytics, it ingests millions of rows per second while maintaining sub-second query speeds. Developers can run complex time-based queries, joins, and aggregations using familiar SQL syntax — no new language or database model required. Built-in compression ensures long-term data retention without high storage costs, and automated data management handles rollups and retention policies effortlessly. Its hybrid storage architecture merges row-based performance for live data with columnar efficiency for historical queries. Open-source and 100% PostgreSQL compatible, TimescaleDB integrates with Kafka, S3, and the entire Postgres ecosystem. Trusted by global enterprises, it delivers the performance of a purpose-built time-series system without sacrificing Postgres reliability or flexibility.
API Access
Has API
API Access
Has API
Integrations
APERIO DataWise
Apache Cassandra
Apache Kafka
DataClarity Unlimited Analytics
Dataplane
Elasticsearch
Google Cloud Bigtable
HighByte Intelligence Hub
Last9
Mode
Integrations
APERIO DataWise
Apache Cassandra
Apache Kafka
DataClarity Unlimited Analytics
Dataplane
Elasticsearch
Google Cloud Bigtable
HighByte Intelligence Hub
Last9
Mode
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Heroic
Website
spotify.github.io/heroic
Vendor Details
Company Name
Tiger Data
Founded
2015
Country
United States
Website
www.tigerdata.com/timescaledb
Product Features
Product Features
Relational Database
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support