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Average Ratings 0 Ratings
Description
Amazon FinSpace streamlines the deployment of kdb Insights applications on AWS, making the process significantly easier. By automating the routine tasks necessary for provisioning, integrating, and securing the infrastructure needed for kdb Insights, Amazon FinSpace simplifies operations for its users. Furthermore, it offers intuitive APIs that enable customers to set up and initiate new kdb Insights applications in just a matter of minutes. This platform allows users the flexibility to transition their existing kdb Insights applications to AWS, harnessing the advantages of cloud computing without the burden of managing complex and expensive infrastructure. KX's kdb Insights serves as a robust analytics engine, tailored for the examination of both real-time and extensive historical time-series data. Frequently utilized by clients in Capital Markets, kdb Insights supports essential business functions such as options pricing, transaction cost analysis, and backtesting. Additionally, it eliminates the need to integrate more than 15 AWS services for the deployment of kdb, streamlining the entire process further. Overall, Amazon FinSpace empowers organizations to focus on their analytics while minimizing operational overhead.
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
AWS CloudTrail
AccessOwl
Amazon CloudWatch
Amazon Web Services (AWS)
DataClarity Unlimited Analytics
Dataplane
HighByte Intelligence Hub
Last9
Mode
Integrations
APERIO DataWise
AWS CloudTrail
AccessOwl
Amazon CloudWatch
Amazon Web Services (AWS)
DataClarity Unlimited Analytics
Dataplane
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/finspace/
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