THE STORY

More and more organizations are
leveraging real-time events

Serving multiple use cases and a growing number
of in-house customers with real-time events than ever before.

CHALLENGES

Data is constantly evolving and new
business requirements continually arise.

Making it hard for devs and data teams to keep pace and adapt their pipelines.
Here are the roadblocks to deploying new event-driven features:

01

Implement some SDK and best practices

02

Implement some SDK and best practices

03

Implement some SDK and best practices

04

Implement some SDK and best practices

05

Implement some SDK and best practices

06

Implement some SDK and best practices

07

Implement some SDK and best practices

08

Implement some SDK and best practices

Highly coupled code

No code reuse

It takes valueable dev time

Hard to debug and troubleshoot

Yet another task on the sprint

THE SOLUTION

Memphis Functions

A Dev-first Platform, Created To Equip Any Developer With Data
Engineering Superpowers By Developing Or Employing Serverless
Functions For Instant Stream Processing.

Logs Collection

User Traces

Data Prepping

DB Migration

Data Scrubbing

PII Cleaning

FUNCTIONS

Code Reuse

Rapid development

Serverless

Error handling

Observability

GitOps

Logs Collection

User Traces

Data Prepping

DB Migration

Data Scrubbing

PII Cleaning

FUNCTIONS

Code Reuse

Rapid development

Serverless

Error handling

Observability

GitOps

Broker

Cost-effective

Dead-letter

Schema Validation

Autonomous

Storage Tiering

Step 1: Write your function

Memphis.dev makes it easy to get started on your event-driven journey. The first step is to write your function. This should be done as if you were writing code for AWS Lambda.

We will take care of the boilerplate, orchestration, scale, monitoring, error handling, and more.

Join the private beta

Step 2: Connect your git repository

By connecting Memphis to your git repository, validated functions will be fetched seamlessly, and automatically track changes.

Once connected, Memphis will form an easy-to-use interface for managing and viewing your entire functions in one shared library.

Join the private beta

Step 3: Build a pipeline

Once your streams are set up and configured, it’s time to attach functions that will process the events ingested into your streams.

Join the private beta

CHALLENGES

Memphis.dev Well-Architected

Learn, get inspired, and build better pipelines using architectural best practices

Apply schemas to Kafka Topics

Unveiling User Patterns using real-time data preperation

Fred Simon

Chief Data Scientist // JFrog

Apply schemas to Kafka Topics

Unveiling User Patterns using real-time data preperation

Fred Simon

Chief Data Scientist // JFrog

Apply schemas to Kafka Topics

Unveiling User Patterns using real-time data preperation

Fred Simon

Chief Data Scientist // JFrog

WHY MEMPHIS FUNCTIONS

Built for all. Faster to Develop.
Easier to Maintain.

Multi-language support

Memphis Functions allows you to process events in the most
popular programming language of your choice.

Join the private beta

Get to Value Faster

Eliminate the hassle of error handling, dead-letter queues, retries, and offsets. Just write clients using “Functions.”

Join the private beta

Get to Value Faster

Say goodbye to crafting wrappers, clients, schemas, and libraries. Let Functions handle that for you.

Join the private beta

You don't need to be a data engineer

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Join the private beta

WHY MEMPHIS FUNCTIONS

More on Memphis.dev

SOC2

Memphis Functions is fully compliant with GDPR / SOC2 Type 1 & 2

24/7

Support across 3 different TZs

+5K

Deployments

+3K

Stars in GitHub

WHAT CAN BE ACHIEVED?

Use Case Examples

Users traces

Prepare and push users traces to your CRM

Logs collection

Collect, filter and prepare logs before storing

Data Prepping

Clean, transform, and prepare your events before storing them.

DB migration

Convert your NoSQL events to SQL format as they migrate to the new database

Data Scrubbing

Identify and correct errors or inconsistencies in datasets to improve data quality

PII Cleaning

Real-time removal process for eliminating PII from a dataset to protect privacy and compliance.

Webhooks

Trigger webhooks according to a specified payload

Transactional data to a warehouse

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MOVE FORWARD INTO THE FUTURE

Ready to start? Join the private beta

Join now