Sold by: KXÂ
kdb Insights unlocks the worlds fastest time series database and real-time analytics engine for faster insights
Overview
Unlock the fastest time-series vector database, kdb Insights, a high-performance database and streaming analytics engine to build and deploy high-performance, data-intensive applications. Core features include:
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High-precision nanosecond timestamps
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Time-ordered querying
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Exceptionally efficient aggregation across flexible time buckets
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Lightning-fast time-based table joins
kdb Insights optimizes streaming, vector, and matrix data analytic workflows into a unified, low-latency and low-complexity stack to support modern business cloud requirements.
kdb Insights provides native time-series analytics, Python integration and SQL support to enable organizations to derive insights, detect anomalies, and automate responses - all in real-time and at scale. kdb Insights offers two options: an out of the box Enterprise edition or an SDK edition for teams needing to build from the ground up.
Offers come with Enterprise Support. Pricing is subject to usage policies below. Customers can deploy kdb insights seamlessly on Amazon EKS or Docker on EC2 using the Terraform/Helm charts provided.
Insights Enterprise
kdb Insights Enterprise is a fully integrated, extensible platform that data teams can use right away for the fastest, most efficient, scalable time-series analytics engine in the cloud.
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No delays, no data duplication - just the most productive, collaborative, and easiest-to-use time-series analytics, with the agility and scalability of the cloud.
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Deploy rapid real-time data pipelines and MLOps development for all types of users - developers, researchers, executives - across the AWS Cloud data ecosystem.
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With support for cloud storage, analytics, and visualization, alongside Python, SQL and REST APIs, kdb Insights Enterprise allows data scientists, analysts, and engineers to make informed, data-driven business solutions quickly and easily.
Insights SDK
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Insights SDK provides application development teams with the tools necessary to create custom time series analytics applications that fit business needs.
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Build real-time analytics applications with ease. Interfaces for object storage, Kubernetes, Docker, and Helm are provided, along with native support for Python, SQL and REST APIs.
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Utilize PyKX (Python language with a KX wrapper) or use q to directly access underlying data types, allowing analytics to be applied to in-memory or on-disk data.
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Insights SDK provides customers with the highest level of flexibility and control to easily integrate and extend powerful data management capabilities into their existing data and analytics processes.
Kdb Insights provides AWS Capital Markets customers with a native, time-series, managed service powered by the industry-recognized kdb Insights, removing the heavy lifting of building and maintaining a data management system for financial analytics.
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Scalability: Combine KX's advanced insights with AWS scalable data management platform
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Efficiency: Reduce the operational costs of running kdb Insights by eliminating manual configuration, operations, and maintenance.
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Rapid deployment: deploy new kdb applications in hours to meet business needs, and accelerate migration of resource constrained on-prem systems
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Speed to market: connect to existing on-prem data feeds and migrate existing KX datasets with just a few clicks.
About Managed Services
Managed Services are fully hosted, managed, and supported by the service providers. Although you register with the service provider to use the service, Amazon handles all billing.
Highlights
- Full kdb+ capabilities - high precision nanosecond timestamps, time ordered querying, uniquely performant aggregation across flexibly defined time buckets, time-based table joins of unparalleled speed. Equipped optimally for the most rapid development of real-time data pipelines and MLOps development and integration. Provides customers the flexibility to easily integrate and extend powerful data management capabilities into their processes.
- Integrates with Amazon S3 - run kdb databases on low-cost storage with replication of data across availability zones and regions. Amazon EKS - cloud native kdb orchestration in Amazon's Elastic Kubernetes Managed Service. AWS ECS and ECS Fargate - kdb in containers as a service on EC2 or Serverless. Amazon Cloudwatch - native integration to monitor kdb usage. AWS Kinesis - connect kdb to streaming messages.
- Full PyKX functionalities. Utilize analytics & visualization microservices alongside Python, SQL, and REST APIs, allows developers and data scientists to collaborate in delivering robust data-driven business solutions quickly and easily.
Details
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Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
kdb Insights | Insights Base Platform | $70,000.00 |
kdb Insights Enterprise | Insights Enterprise Base Platform | $76,800.00 |
Vendor refund policy
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
https://kx.com/software-support/Â Support is available via
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Time Series Database
High-performance database with nanosecond precision timestamps and time-ordered querying capabilities
Data Analytics Engine
Streaming, vector, and matrix data analytics workflow optimization with low-latency processing
Programming Language Integration
Native support for Python through PyKX wrapper and direct q language access for data analytics
Storage and Deployment Interfaces
Supports object storage, Kubernetes, Docker, Helm, and cloud platform integrations for flexible deployment
Real-time Analytics Processing
Exceptionally efficient aggregation across flexible time buckets with lightning-fast time-based table joins
Time Series Database Technology
Columnar real-time analytics database built with Apache Arrow and Apache Parquet for high-performance data processing
Query Language Support
Native support for both standard SQL and InfluxQL with advanced time-based function capabilities
Data Ingestion Mechanism
Scalable data collection using Telegraf open-source collector with 300+ pre-built plugins and client library integrations
Performance Optimization
Independent scaling of ingest and query capabilities with 100x faster queries on high-cardinality data
Security Compliance
Enterprise-grade security with data encryption in transit and at rest, supporting SOC 2 Type II, ISO/IEC 27001:2013, and ISO/IEC 27018:2019 certifications
Database Engine
"Hybrid row-columnar storage engine optimized for high-volume streaming data and fast analytical queries"
Vector Data Processing
"Native support for vector search and AI capabilities using pgvectorscale and pgai extensions"
Scalability Architecture
"Designed to collect, store, and analyze billions of data points with dynamic scaling and infinite storage"
Compliance and Security
"SOC2, GDPR, and HIPAA compliant platform with continuous backups, encryption, and 14-day point-in-time recovery"
Open Source Compatibility
"Full PostgreSQL compatibility with comprehensive SQL support and extensive ecosystem integration"
Standard contract
No
No
No
Customer reviews
0 ratings
0 AWS reviews
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49 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Adnan S.
KX is highly optimized for time-series data handling and database operations.
Reviewed on Feb 21, 2025
Review provided by G2
What do you like best about the product?
Firstly Exceptional speed in processing time-series data.Apart from that I personally like the PyKX which is fantastic to work on combine on both Python and KX.
What do you dislike about the product?
I don't dislike just that it usually is not very easy to learn languages and other Stuff but you require dedication.
What problems is the product solving and how is that benefiting you?
I think it handles Time Series very smoothly
Yiorgos [George] A.
It is worth the effort
Reviewed on Dec 18, 2024
Review provided by G2
What do you like best about the product?
The teseness of the language. It allows for expressing a lot in the monitor area
What do you dislike about the product?
The license that I have to renew yearly. I mean come on! I am a hobby user. I definitely do not run it daily and it is a product you want to gain popularity. Make-it-easy
What problems is the product solving and how is that benefiting you?
I am not solving any business problem for my employer with Kx. What I am trying to do though is to make it a replacement for Prometheus. I hate PromQL. So in an ideal world I want a prometheus remote_write API to store in a Kx and be able to run queries there, that are longer than the 15 days time span that Prometheus is optimized for.
Investment Banking
KX-Dashboard provides quick way to create a real-time dashboard
Reviewed on Dec 18, 2024
Review provided by G2
What do you like best about the product?
I use KX's kx-dashboard product to create user reports/dashboards , I found it very easy to create the user reports / dashboard using ox-dashboard.
In our organisation we have moved from very wel know dashboard creation product to kx-dashboard . As we found it is faster and has few better functionalities like breadcrum and pivote data grid.
I have also created this https://lnkd.in/dWFzFtCe video to showcase how can we create real-time dashboard using ox product ..
In our organisation we have moved from very wel know dashboard creation product to kx-dashboard . As we found it is faster and has few better functionalities like breadcrum and pivote data grid.
I have also created this https://lnkd.in/dWFzFtCe video to showcase how can we create real-time dashboard using ox product ..
What do you dislike about the product?
Steep Learning curve .
For learning KX kdb it does take some time
For learning KX kdb it does take some time
What problems is the product solving and how is that benefiting you?
Benefits
1)Quickest way to create user dashboard
2) faster way to analyse real time and EOD data
1)Quickest way to create user dashboard
2) faster way to analyse real time and EOD data
Harmanjeet S.
Pushing the boundaries of real time processing using Kx
Reviewed on Dec 17, 2024
Review provided by G2
What do you like best about the product?
The thing i like about kx is the platform supports high performance stream processing which makes it very beneficial for many industries which require real time decision making especially in financial domain.
What do you dislike about the product?
Its steep learning curve for beginners. Difficulty in code debugging when you've just started. But it gets easier when you get good understanding..
What problems is the product solving and how is that benefiting you?
Kx has helped with high frequency event processing and real time decision making and providing immediate insights solving problem to detect fraudulent transactions in banks and executing trades with low latency.
Alex T.
The best ecosystem for quants and data engineers
Reviewed on Dec 16, 2024
Review provided by G2
What do you like best about the product?
- You can feel that the product is made with love. The syntax is very powerful, so you can write short statements instead of long SQL queries
- Speed is insane.
- Good integration with other technologies and tools like python and Java
- The ecosystem is just nice, everything is in place, language, documentation, vs code plugin, own IDE (KX developer), dashboards.
- Good community usually questions on StackOverflow answered on the same day, also they have a forum, free courses and a Slack community
- Speed is insane.
- Good integration with other technologies and tools like python and Java
- The ecosystem is just nice, everything is in place, language, documentation, vs code plugin, own IDE (KX developer), dashboards.
- Good community usually questions on StackOverflow answered on the same day, also they have a forum, free courses and a Slack community
What do you dislike about the product?
- Not so many companies use it, although it is very popular in the finance sector
- It requires knowledge, time, and dedication, but which tool is not?
- No so many open source projects to learn from
- It requires knowledge, time, and dedication, but which tool is not?
- No so many open source projects to learn from
What problems is the product solving and how is that benefiting you?
- Getting and storing large amount of market data
- Storing all analytics about usage of the market data
- Storing all analytics about usage of the market data