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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 IBM Streams?

IBM Streams processes a wide range of streaming information, encompassing unstructured text, video, audio, geospatial data, and sensor inputs, which allows organizations to discover opportunities and reduce risks while making prompt decisions. Utilizing IBM® Streams, users can convert swiftly evolving data into valuable insights. This platform assesses different types of streaming data, equipping organizations to detect trends and threats as they emerge. When combined with the other features of IBM Cloud Pak® for Data, which is built on a versatile and open framework, it boosts collaboration among data scientists in crafting models suitable for stream flows. Additionally, it enables the real-time evaluation of extensive datasets, making it easier than ever to extract actionable value from your data. These capabilities empower organizations to fully leverage their data streams, leading to enhanced outcomes and strategic advantages in their operations. As a result, organizations can optimize their decision-making processes and drive innovation across various sectors.

Media

Media

Integrations Supported

Airbyte
Amazon S3
Amazon Web Services (AWS)
Apache Kafka
Apache Parquet
ClickHouse
Docker
Google Cloud Platform
Google Sheets
JSON
Java
Metabase
Microsoft Excel
Pulsar
Python
Redash
Slack
Sling
Snowflake
StreamNative

Integrations Supported

Airbyte
Amazon S3
Amazon Web Services (AWS)
Apache Kafka
Apache Parquet
ClickHouse
Docker
Google Cloud Platform
Google Sheets
JSON
Java
Metabase
Microsoft Excel
Pulsar
Python
Redash
Slack
Sling
Snowflake
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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/streaming-analytics

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Streaming Analytics

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

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