Pioneering
The Streaming Datalake

Pioneering
The Streaming
Datalake

Designed for the future of streaming, Streambased enables instant ad-hoc data analysis directly from the source.

Streambased: A Modern, SQL Engine for Apache Kafka​

This white paper introduces Streambased, a SQL-oriented solution for Apache Kafka that excels in low latency and high concurrency. For an overview of its architecture and performance benefits, fill out the form and download the whitepaper.

Download Streambased Reference Architecture Whitepaper​

The Streambased whitepaper details flexible, scalable deployment models for both short-term and long-term projects. It serves as a guide for system architects and data engineers, offering insights into cluster components and resource allocation.

Enhance cost-efficiency and accelerate innovation with a Streaming Datalake Platform

Complexity

Democratized access to Kafka data

By removing ETL/ELT processes, pipelines, and the need for a separate analytics infrastructure, Streambased turns the data access process from a cumbersome ordeal into a smooth and effortless experience. Analytical endeavors can be performed without the usual constraints or intermediate steps.

Consistency

A single source of truth

Query non-duplicated, non-reformatted operational data, and avoid data swamps or inconsistent tables to establish a dependable semantic layer linking data to the real world.

Cost Efficiency

No data duplication

By directly connecting BI tools to the data source, you bypass costly and time-consuming data acquisition processes, enabling swift access for your batch analytical needs.

Our trusted technologies that help drive Streambased

Use Cases

Single source of truth for Operational + Analytical workloads

Expanded insights

Access to new data sets and larger volumes of data empowers the extraction of deeper insights and uncover patterns that were previously inaccessible, leading to more comprehensive and accurate analysis.

Enhanced predictive capabilities

Develop and train more robust AI & ML models, fostering improved predictive capabilities and great accuracy in forecasting future trends or behaviours.

Innovative solutions

More diverse and larger data sets fuels innovation, allowing analysts and engineers to devise new methodologies, explore novel correlations and create innovative solutions that drive business growth.

Enhanced agility

By bypassing ELT bottleneck, analysts and engineers gain agility in accessing and leveraging diverse datasets, fostering quicker experimentation and adaptation to changing data requirements and analysis needs.

Fast data access

The delay in accessing and utilizing data is minimized, ensuring faster data availability for analysis, experimentation, and model development.

Flexibility in exploration

Direct access to raw data allows for more flexible exploration and experimentation, facilitating greater depth and breadth in analysis and discovery of insights.

A unified platform

Implement and oversee data masking, RBAC and ACLs to ensure consistent and efficient security measures across the entire ecosystem.

Enhanced governance

Manage security protocols in one place to simplify oversight, audits, and compliance checks, ensuring a cohesive approach to data protection.

Efficient resource utilization

By consolidating security management, organizations optimize resource allocation, reducing redundancy in security administration efforts to streamline operations and minimize overhead.

Streambased Platform

Accelerator

Fast Kafka access for all

Streambased technology greatly enhances access to Kafka data, unlocking its full potential.

Driver

Expand the reach of your Kafka data

Platform

Fast streaming and Batch data access in one package

Streambased’s Platform seamlessly integrates the strengths of both streaming and data warehousing, offering you a dynamic solution to effortlessly access your data, regardless of your preferred method or location.
Complexity

Measures data transfer difficulty to analysts.

Consistency

Assesses uniformity and reliability of data copies.

Cost

Evaluates technical expenditure justification.

Scope

Quantifies operational data accessibility for analysts.

Streambased

Streamlines access to Kafka for analytics.

Good
Fair
Bad
Good
Streaming Datalake

Combines Event Streaming and Batch analytics.

Fair
Fair
Good
Good
ELT

Integrates operational and analytics systems through pipelines.

Bad
Bad
Bad
Bad
Real Time Stream Processing

Enables low-latency short window analytics.

Good
Fair
Bad
Good

Product Comparison

Complexity

Consistency

Cost

Scope

Streambased

Combines Event Streaming and Batch analytics.

Streaming Datalake

Streamlines access to Kafka for analytics.

ELT

Integrates operational and analytics systems through pipelines.

Real Time Stream Processing

Enables low-latency short window analytics.

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Uncover the power of Streambased’s DataLake and unlock the potential for unparalleled efficiency and productivity. Learn more today!