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What is Peaka?

Consolidate all of your data sources, including relational databases, NoSQL systems, SaaS tools, and APIs, so you can query them seamlessly as a single data entity in real-time. Process information at its origin instantly, enabling you to cache, query, and integrate data from diverse sources without interruption. Leverage webhooks to incorporate live streaming data from services such as Kafka and Segment directly into the Peaka BI Table, moving away from outdated nightly batch processes to ensure immediate data availability. Treat every data source like a relational database by converting any API into a table that can be easily joined with other datasets. Use standard SQL syntax to perform queries within NoSQL environments, allowing access to both SQL and NoSQL databases with the same expertise. Aggregate your data for querying and refinement into new datasets, which you can then share through APIs to facilitate connections with other applications and systems. Simplify the configuration of your data stack without getting lost in scripts and logs, thereby eliminating the challenges linked to the construction, management, and upkeep of ETL pipelines. This strategy not only boosts operational efficiency but also enables teams to concentrate on extracting valuable insights instead of getting entangled in technical obstacles, ultimately leading to a more productive workflow. By embracing this integrated approach, organizations can better adapt to the fast-paced demands of modern data management.

What is HStreamDB?

A streaming database is purpose-built to efficiently process, store, ingest, and analyze substantial volumes of incoming data streams. This sophisticated data architecture combines messaging, stream processing, and storage capabilities to facilitate real-time data value extraction. It adeptly manages the continuous influx of vast data generated from various sources, including IoT device sensors. Dedicated distributed storage clusters securely retain data streams, capable of handling millions of individual streams effortlessly. By subscribing to specific topics in HStreamDB, users can engage with data streams in real-time at speeds that rival Kafka's performance. Additionally, the system supports the long-term storage of data streams, allowing users to revisit and analyze them at any time as needed. Utilizing a familiar SQL syntax, users can process these streams based on event-time, much like querying data in a conventional relational database. This powerful functionality allows for seamless filtering, transformation, aggregation, and even joining of multiple streams, significantly enhancing the overall data analysis process. With these integrated features, organizations can effectively harness their data, leading to informed decision-making and timely responses to emerging situations. By leveraging such robust tools, businesses can stay competitive in an increasingly data-driven landscape.

Media

Media

Integrations Supported

Elastic Cloud
MongoDB
Snowflake
ActiveCampaign
Autopilot
Campaign Monitor
Eventbrite
Google Cloud BigQuery
Google Cloud Storage
Google Contacts
Mailchimp Transactional Email (Mandrill)
Microsoft OneNote
Neo4j
Oracle Fusion Cloud SCM
Paylocity
PostgreSQL
Provet
ShipStation
Tally
eBay

Integrations Supported

Elastic Cloud
MongoDB
Snowflake

API Availability

Has API

API Availability

Pricing Information

$1 per month
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Peaka

Date Founded

2020

Company Location

United States

Company Website

www.peaka.com

Company Facts

Organization Name

EMQ

Date Founded

2013

Company Location

United States

Company Website

hstream.io

Categories and Features

Data Integration

Not specified

Embedded Integration

Not specified

iPaaS

Not specified

Categories and Features

Database

Not specified

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