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  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data As A Service
  5. Osmos Data vs Stitch

Osmos Data vs Stitch

OverviewComparisonAlternatives

Overview

Stitch
Stitch
Stacks150
Followers150
Votes12
Osmos Data
Osmos Data
Stacks1
Followers2
Votes0

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Detailed Comparison

Stitch
Stitch
Osmos Data
Osmos Data

Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.

It is a low-code External Data Platform that helps companies scale their data ingestion while reducing costs and errors. Bring in fresher, cleaner customer and partner data with self-serve data uploaders and no-code ETL data pipelines.

Connect to your ecosystem of data sources - UI allows you to configure your data pipeline in a way that balances data freshness with cost and production database load;Replication frequency - Choose full or incremental loads, and determine how often you want them to run - from every minute, to once every 24 hours; Data selection - Configure exactly what data gets replicated by selecting the tables, fields, collections, and endpoints you want in your warehouse;API - With the Stitch API, you're free to replicate data from any source. Its REST API supports JSON or Transit, and recognizes your schema based on the data you send.;Usage dashboard - Access our simple UI to check usage data like the number of rows synced by data source, and how you're pacing toward your monthly row limit;Email alerts - Receive immediate notifications when Stitch encounters issues like expired credentials, integration updates, or warehouse errors preventing loads;Warehouse views - By using the freshness data provided by Stitch, you can build a simple audit table to track replication frequency;Scalable - Highly Scalable Stitch handles all data volumes with no data caps, allowing you to grow without the possibility of an ETL failure;Transform nested JSON - Stitch provides automatic detection and normalization of nested document structures into relational schemas;Complete historical data - On your first sync, Stitch replicates all available historical data from your database and SaaS tools. No database dump necessary.
No-code data transformation; User-friendly; Designed to scale; Handles billions of records; Pre-built connectors; APIs; Error monitoring and alerts; Enterprise-grade security
Statistics
Stacks
150
Stacks
1
Followers
150
Followers
2
Votes
12
Votes
0
Pros & Cons
Pros
  • 8
    3 minutes to set up
  • 4
    Super simple, great support
No community feedback yet
Integrations
Stripe
Stripe
Twilio SendGrid
Twilio SendGrid
Zendesk
Zendesk
MongoDB
MongoDB
Marketo
Marketo
Recurly
Recurly
GitLab
GitLab
Zapier
Zapier
FreshDesk
FreshDesk
Harvest
Harvest
NetSuite
NetSuite
Google Drive
Google Drive
PostgreSQL
PostgreSQL
Snowflake
Snowflake
MySQL
MySQL
Google Cloud Storage
Google Cloud Storage
Salesforce
Salesforce
Google BigQuery
Google BigQuery
Google Sheets
Google Sheets
Oracle
Oracle

What are some alternatives to Stitch, Osmos Data?

Blazor

Blazor

Blazor is a .NET web framework that runs in any browser. You author Blazor apps using C#/Razor and HTML.

Stamplay

Stamplay

The API-based development platform enabling developers to do 80% of the job in 1% of the time thanks to: out of the box APIs for users and data, one-click integration with any API, scalable infrastructure and SDKs. Build Rome in a day.

Google BigQuery

Google BigQuery

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

Amazon Redshift

Amazon Redshift

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Qubole

Qubole

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

Amazon EMR

Amazon EMR

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

Altiscale

Altiscale

we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

Snowflake

Snowflake

Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.

Kumologica

Kumologica

It is the first low-code development solution that run your integration and automation services serverlessly on any cloud. It provides drag and drop visual designer and low code approach to ensure the greatest speed and flexibility to support a wide range of integrations compatible with most of the platforms and cloud providers.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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