Customer Training

Help Desk

Web and Video Conferencing

Customer Support

Flowchart

Development

Student Management

Education

Business Intelligence (BI)

Collaboration

Emissions Management

Online Notary

Enterprise

Accounting

Anti-Money Laundering (AML)

CTRM

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Resume Parsing

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

.Net Development

API Management

Authorization

Cloud Storage

Component Content Management

Data Deduplication

Data Governance

Fraud Detection

Integrated Development Environment (IDE)

Integration Platform as a Service (iPaaS)

Intranet

Load Testing

M2M Application Development

Managed Print

Managed Private Cloud

Managed Public Cloud Infrastructure

Network Performance Monitoring

Output Management

Relational Database Management Systems

Sensitive Data Discovery

Service Virtualization

User Activity Monitoring

Virtual Private Network (VPN)

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Data Cleansing

Data Management

Digital Experience Intelligence

Digital Experience Platforms (DXP)

Email Marketing

Location Intelligence

Marketing Automation

Online Reputation Management

Social Media Management

Social Media Publishing

Survey & Forms Building

Web Analytics

Marketing

Project Management

Transcription

Professional Services

Construction CRM

Customer Relationship Management (CRM)

Headless eCommerce

Sales Engagement

Sales

Data Loss Prevention

Security Information and Event Management (SIEM)

Security

Banking

Car Rental

Church Management

Home Health Care

Intelligent Document Processing

Retail Execution

Vertical-Specific

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Users have relied on the architecture of the product to pipeline real-time data sources like databases, benefiting from its high availability and fault tolerance. Enterprises have found this feature particularly helpful in solving pipeline problems and ensuring consistency and quality at an enterprise level. The product seamlessly integrates with existing platforms, allowing users to review their data with ease. However, scalability has been a concern for some users, especially when connecting multiple data sets to destinations. Configuration and compatibility issues have been reported in such scenarios.

On the other hand, the product has played a crucial role in centralizing data for users, enabling them to consolidate all their data within a month. This centralized approach has successfully addressed various business problems by providing the ability to analyze data from different sources. Users appreciate the expertise of the team behind the product and have had positive experiences overall. Additionally, the product has proven effective for extracting, transforming, and loading data from diverse sources into data warehouses, including internally built systems, cloud software, and third-party vendors.

Efficient Data Pipeline Building: Several reviewers have mentioned that Alooma's data pipeline building process is quick and efficient, taking only a minute to complete. This has been appreciated by users who value a streamlined and time-saving solution.

Import Data from Any Source: Many users have praised the ability of Alooma to import data from any source, considering it an awesome feature. This flexibility allows users to easily gather data from different platforms and systems, enhancing their data integration capabilities.

Simplicity and Ease of Use: The ease of use and intuitive interface of Alooma have been repeatedly highlighted by reviewers. Users of any level find it easy to navigate and use the platform, making it accessible for both technical and non-technical users alike.

Limited Support for Data Sources: Some users have mentioned that Alooma does not support a wide range of data sources natively, which may be limiting for those who require diverse options. For example, some reviewers expressed the need for integration with specific databases or applications that are currently not supported by Alooma.

High Pricing: Several reviewers have indicated that the pricing of Alooma should be reconsidered as it may be perceived as too high or not providing sufficient value. They feel that the cost does not align with the features and benefits offered by the software.

Lack of Scalability: A number of users have experienced issues with scalability as their companies grew. They found that Alooma was unable to handle increasing data pipelines, resulting in system breaks and a cluttered user interface. This could pose challenges for larger organizations looking to expand their data processing capabilities.

Alooma is a data integration product providing ETL capabilities with a focus on output to data warehouse. It also offers pipeline monitoring and error handling protocols.

Matillion is a data pipeline platform used to build and manage pipelines. Matillion empowers data teams with no-code and AI capabilities to be more productive, integrating data wherever it lives and delivering data that’s ready for AI and analytics.

Basic

Advanced

Developer: For Individuals

Matillion

Jitterbit is a cloud integration technology for cloud, social or mobile apps. It provides accessibility for
non-technical users, including easily creating API’s and data transformation scripts within the
integrations.

Jitterbit

Alooma

Buying iPaaS software can be confusing. Want help? Get tips, advice, and product info free in this guide.

The Buyer's Guide to Integration Platform as a Service Software (iPaaS)

Integration Platform-as-a-Service (iPaaS) tools are platforms for building and deploying integrations. These can be built both within the cloud and between the cloud and enterprise on-premise applications.

Likelihood to Recommend

Cloud Data Integration

Pre-built connectors

Connector modification

Support for real-time and batch integration

Data quality services

Data security features

Monitoring console

What Modern ETL looks like - Alooma

Say hi to Alooma--the best data pipeline in the world! 

Alooma lets you integrate all your data sources - like databases, applications and any API, with your own Amazon Redshift. It takes only minutes to set up. Once you're done integrating, map your schemas to tables manually or automatically using our auto-mapper. 

We know no one knows your data better than you.  So take control.   Use Alooma’s Code Engine to run your own Python code on any event.   Clean, enrich, or transform your data - in real time.

But most importantly - never lose an event. Our Re-stream Queue is your safety net. It continuously captures any data errors, letting you handle them so that you always get all your data, exactly once.
 
Congratulations, your real-time data pipeline is all set up and good to go. 

Use your data for the greater good or for world domination - it’s up to you. Either way, we’ve got your back.

Video by Itay Niv
Sound design by Yuval Shenhar

Cloud data integration software simplifies the task of integrating data from multiple different cloud applications

Pre-built, tested connectors to a wide variety of applications such as ERP, CRM, HCM, Marketing Automation, etc.

Provision for modification of pre-built connectors to suit specific environments

Software supports both real-time and batch integrations

Software includes capability to perform data profiling, deduplication, cleansing etc.

Data security features include rights management, LDAP integration, password encryption, etc.

Central console for monitoring resource utilization, system health, ability to start and stop processes, etc.

SnapLogic

Alooma 2019-01-23 11:38:53

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TrustRadius

Customer support

3rd party

Party vendors

Data replication

Additional data

Data sources

Large library

Home

Integration Platform as a Service (iPaaS) Software

Used to ETL data from various data sources into our data warehouse. Data sources include internally built systems on cloud software, as well as third party vendors (such as a contact center, marketing CMS systems, ad spend data, etc.) Alooma allows management of all these data sources as well as transformation in order to manage the data warehouse schema.

Transformation of data before entering the data warehouse -- allows for a consistent/understandable schema for analytics teams.
Adding of additional data sources: Alooma has a large library of pre-built, common 3rd party vendors for which data is often needed to be ETL-ed.

More tools on managing the data warehouse itself. Although great on the ingest and transformation of data, more help provided by the tool on managing the outputs would be welcome.
Increase possibilities in the transformation step, rather than single event transformations.

Allowing for additional data sources to more automation capability around monitoring the business is a huge ROI

Alooma

Overview

What is Alooma?