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What is Timeplus?

Timeplus is a robust and user-friendly stream processing platform that combines power with affordability. Packaged as a single binary, it allows for easy deployment across multiple environments. Targeted at data teams in various industries, it facilitates the rapid and intuitive processing of both streaming and historical data. With a streamlined design that eliminates the need for external dependencies, Timeplus provides extensive analytical capabilities for both types of data. Its pricing structure is remarkably economical, costing just a tenth of what comparable open-source solutions demand. Users can effortlessly transform real-time market and transaction data into actionable insights. The platform adeptly supports both append-only and key-value streams, making it particularly suited for financial information monitoring. Moreover, Timeplus simplifies the creation of real-time feature pipelines, enhancing its functionality. It serves as a comprehensive hub for managing all infrastructure logs, metrics, and traces, which are vital for ensuring observability. The user-friendly web console UI accommodates a wide range of data sources, while also allowing data to be pushed via REST API or to create external streams without data duplication. Overall, Timeplus stands out as a versatile and thorough solution for data processing, making it an excellent choice for organizations striving to improve their operational efficiency. Its innovative features set a new standard in stream processing technology.

What is Kinetica?

Kinetica is a cloud database designed to effortlessly scale and manage extensive streaming data sets. By leveraging cutting-edge vectorized processors, it significantly accelerates performance for both real-time spatial and temporal tasks, resulting in processing speeds that are orders of magnitude quicker. In a dynamic environment, it enables the monitoring and analysis of countless moving objects, providing valuable insights. The innovative vectorization technique enhances performance for analytics concerning spatial and time series data, even at significant scales. Users can execute queries and ingest data simultaneously, facilitating prompt responses to real-time events. Kinetica’s lockless architecture ensures that data can be ingested in a distributed manner, making it accessible immediately upon arrival. This advanced vectorized processing not only optimizes resource usage but also simplifies data structures for more efficient storage, ultimately reducing the time spent on data engineering. As a result, Kinetica equips users with the ability to perform rapid analytics and create intricate visualizations of dynamic objects across vast datasets. In this way, businesses can respond more agilely to changing conditions and derive deeper insights from their data.

Media

Media

Integrations Supported

Apache Avro
Apache Kafka
Apache Parquet
Confluent
Go
Java
Kubernetes
Oracle Audience Segmentation
Oracle Big Data Preparation
Oracle Cloud Infrastructure Data Catalog
Oracle Cloud Infrastructure Object Storage
Oracle Endeca Commerce
Oracle Machine Learning
Oracle Partner Relationship Management
Oracle Subscription Management
Oracle Textura Pre-Qualification
Redash
SQL
Sling
StreamNative

Integrations Supported

Apache Avro
Apache Kafka
Apache Parquet
Confluent
Go
Java
Kubernetes
Oracle Audience Segmentation
Oracle Big Data Preparation
Oracle Cloud Infrastructure Data Catalog
Oracle Cloud Infrastructure Object Storage
Oracle Endeca Commerce
Oracle Machine Learning
Oracle Partner Relationship Management
Oracle Subscription Management
Oracle Textura Pre-Qualification
Redash
SQL
Sling
StreamNative

API Availability

Has API

API Availability

Has API

Pricing Information

$199 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Timeplus

Company Website

www.timeplus.com

Company Facts

Organization Name

Kinetica

Date Founded

2009

Company Location

United States

Company Website

www.kinetica.com

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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