Alooma alternatives for marketing teams

Are currently using the Alooma or trying to get a better understanding of your options when it comes to collecting accurate marketing data? Here is the list of top alternatives to the Alooma.

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Alooma provides businesses with a data pipeline as a service, simplifying mobile, big data, Cloud, and SaaS integration in real-time.

Website:
Year founded::
Company size:

Alooma is an enterprise data pipeline platform that integrates all a customer’s sources to Amazon’s petabyte scale data warehouses. It operates on Google Cloud to ensure that no information gets lost.

Alooma includes a data mapper, code engine, data queries, and real-time visualizations. With Alooma, customers can import data from any source and provide real-time insights with a user-friendly interface. The platform takes care of the complex tasks that go into data collection and supports many popular data sources.

When using Alooma, customers can stream their data from different sources. The data can be transformed and enriched before it is stored in a personal Amazon Redshift cluster. The platform also gives users notifications if a new field appears within their data so they’re always aware of important metrics.

With an easy and quick setup process, getting started is simple and straightforward. Alooma ensures that customers do not lose any data or have duplicates thanks to its built-in safety nets.

Use Cases

Pricing

A free trial is available for Alooma, but for the actual price of the platform, you will have to contact the company.

Integrations

Company rating
4.0
out of
5
Easy to setup
3.5
out of
5
Quality of support
3.5
out of
5

Top 10 Alternatives to Alooma in 2021

Improvado is a tool built by marketers, for marketers to get all their data into one place, in real-time, with automated dashboards and reports.

Website:
https://improvado.io
Year founded::
2016
Company size:
50-200

Improvado

Improvado is an enterprise-grade, no-code Revenue Data Platform that automates how marketing, sales, and revenue teams extract, transform and load data from source to destination.

The platform offers prebuilt connectors to over 500 data sources, making it convenient for users who want to efficiently aggregate and push data to data warehouses or to BI, visualization, or analytics tools. Improvado’s clients can also request custom connectors if they need to work with a data source not listed in the integration catalog. Furthermore, the platform offers a high level of granularity, allowing you to explore insights at any level. 

Improvado is known for its advanced data transformation engine, known as the Marketing Data Common Model (MCDM). This functionality automatically unifies disparate naming conventions that usually occur when pulling related data from different sources, removes errors and duplicates, and runs automated data mapping and transformation sequences using self-service or prebuilt templates. That way, you can get access to analysis-ready data in no time and start analyzing it in built-in dashboards.

Thanks to its compliance with HIPAA, SOC-2, and enterprise SLA, Improvado is compatible with businesses in privacy-sensitive industries, like health, insurance, and finance.

Automate omnichannel marketing reporting with Improvado

Get a demo

Improvado Use Cases

Improvado is specifically designed for marketing, sales, and revenue teams. Thus, it is fully fitted with features that cater to the needs of these departments and requires zero technical skills. 

Marketing, sales, and revenue teams use Improvado to access insights on all revenue-generating efforts across their channels and customer touchpoints. This is powered by Improvado’s efficient marketing attribution modeling functionality that enables users to build custom data pipelines that automatically attribute conversions to the right channels.

As a no-code platform, Improvado is suitable for teams with zero coding skills and SQL knowledge. Improvado also provides professional services to customers who need help with building custom data dashboards, handling data migration, and providing team-wide training. As an add-on, Improvado provides data warehouse maintenance services, freeing up your company’s valuable time and resources.  

The platform has users from several industries, encompassing professionals in mid-market brands, large-scale enterprises, and agencies.

Improvado.io clients breakdown by industry and company size

Improvado Pricing

Improvado doesn’t tie its users to a specific contract value. Improvado assesses your company’s unique needs when you request a quote and calculates a custom pricing plan best suited for your business.

Improvado’s flexible pricing means you get access to and pay only for the features and bandwidth you need.

Furthermore, Improvado offers a token, called DECS points, which you can spend on APIs, flat file ingestion, report type development and modification, and other development needs.

Improvado Integrations

Improvado has a library of over 500 data sources across several categories, including advertising platforms, CRMs, payment gateways, eCommerce tools, and more. If you can’t find a specific data source in the integration library, you can always request a custom connector, and it will be built for you.

The platform also supports leading data warehouses like Google BigQuery, Amazon RedShift, Snowflake, and more.

Check out a full list of Improvado’s data sources and destinations. The solution also has a comprehensive data dictionary featuring all the metrics, properties, dimensions, and more, as supported by each data source. Take a look here.

Reviews

Capterra logo
G2 Crowd logo

Tyler Haislip
Marketing Intelligence Manager at Bounteous
Read the case study
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Adam Orris
Director of Analytics at Xenopsi
Read the case study
Capterra logo
G2 Crowd logo

Its amazing how Improvado had the ability to get us the data we need. I highly recommend anyone looking to aggregate their data to use Improvado.

Alex C
CEO at PenPath

Its amazing how Improvado had the ability to get us the data we need. Simply put, we need to have a lot of flexibility in this industry. I highly recommend anyone looking to aggregate their data to use Improvado.

They really have been a major part of our success and the people there are great to work with.

Improvado provide a reliable foundation that are building our business on top of. The kind of partnership we have with them has truly paid off.

Read the case study

Get a tour around the product from the Improvado team

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What is Supermetrics? Supermetrics is a simple data extraction platform for marketers. It is a tool that helps marketers by pulling social, SEO, PPC, and analytics data into a single place for reporting and analysis.

Website:
Year founded:
2013
Company size:
10 - 50

Supermetrics

What is Supermetrics? Supermetrics is a simple data extraction platform for marketers. It is a tool that helps marketers by pulling social, SEO, PPC, and analytics data into a single place for reporting and analysis.

Year founded
2013
Company size
10 - 50

Supermetrics

Supermetrics is a data integration platform that helps marketing and sales teams automatically pull data from siloed platforms—CRMs, marketing automation platforms, paid channels, and more—into a consolidated destination for reporting, analytics, or storage.

Supermetrics isn't a dedicated marketing attribution platform. Instead, it automates fast and efficient data delivery into Google Sheets, Excel or warehouses like BigQuery and Snowflake, where you can now connect all your touchpoints and create a custom attribution model relevant to your business yourself.

Supermetrics offers an automated reporting solution that helps users generate marketing reports for stakeholders as needed. It is also important to note that Supermetrics only encrypts and caches data for a few minutes and never stores it in a backup. This is a testament to its robust data security and privacy policies. But on the flip side, you can't conveniently work with historical data on such a platform.

Company rating
4.0
out of
5
Easy to setup
4.0
out of
5
Quality of support
3.5
out of
5

Use Cases

Supermetrics is a tool primarily designed for marketing and sales purposes. However, the platform supports only 100 native data source connectors. And even marketers need to double-check if Supermetrics can pull data from all the critical platforms. Alternatively, a team can request a custom connector if the data is accessible through an API. Users can submit requests, vote for data sources suggested by others, and view beta connectors on the Supermetrics Roadmap website.

When opting for Supermetrics, a company should have data analysts on its team to perform manual data transformation tasks and ensure data accuracy. Numerous customers complain about encountering bugs or discovering that the platform failed to retrieve data for weeks without notifying them about the issue.

Supermetrics lacks extensive data transformation features besides Custom Fields, so in-house data analysts will be needed to organize the data and manage the unification of naming conventions when incorporating data from multiple sources into a single report. Existing clients have noted that the platform automatically imports vast data when connecting to a new data source, necessitating manual sorting. 

Pricing

Supermetrics offers a comprehensive pricing plan based on your preferred data destination. It offers five main destination options: Google Sheets, Supermetrics API, BigQuery, Looker Studio, and Excel.

Each plan has a separate set of pricing plans nested within. For example, the Google Sheets plan starts at $69/month and goes up $579. Enterprise plans for all data sources, BigQuery, and the Supermetrics API come with custom pricing based on your needs.

The platform also has several other destinations you can choose, and pricing depends on the volume of data and the number of users.

Integrations

Supermetrics offers integration to 100+ platforms. However, only users on its enterprise payment plan can access all of the data source connectors. If you're on a lower-priced plan, an additional data source connector will cost an extra $35/month.

Also, if you need a custom connector, you can only use the Roadmap page to submit a request or upvote existing ones for consideration.

Pros

Cons

Alternatives

Skyvia is the all-in-one cloud data platform for no coding data integration, cloud to cloud backup, management via SQL and data access via OData interface.

Website:
Year founded:
2014
Company size:
50 - 200

Skyvia

Skyvia is the all-in-one cloud data platform for no coding data integration, cloud to cloud backup, management via SQL and data access via OData interface.

Year founded
2014
Company size
50 - 200

Skyvia

Skyvia is a cloud-based data platform that aims to make data integration, backup, access and management easier and faster.
With Skyvia, organizations and companies can expect to import, export, replicate, migrate, synchronize and manage their data with ease. It allows smooth data supervision between databases and cloud apps with no fuss. Users don’t need to code anything, and it just takes a few clicks for data to be backed up or restored.

Company rating
4.0
out of
5
Easy to setup
4.0
out of
5
Quality of support
4.5
out of
5

Use Cases

Pricing

Integrations

Pros

Cons

Alternatives

Stitch is designed for rapidly moving data. The platform is developer-focused and utilizes the cloud. Users can aggregate data from anywhere, thanks to the cloud-first model, in a matter of minutes.

Website:
Year founded:
2016
Company size:
10 - 50

Stitch

Stitch is designed for rapidly moving data. The platform is developer-focused and utilizes the cloud. Users can aggregate data from anywhere, thanks to the cloud-first model, in a matter of minutes.

Year founded
2016
Company size
10 - 50

Stitch

Stitch Data is a cloud-first, open-source ETL platform that enables business teams to rapidly and securely move data from multiple sources to designated data warehouses for fast and efficient analysis.

The platform is an integral part of the Talend Data Fabric, providing prebuilt connectors to over 100 databases and SaaS applications, with support for leading data warehousing platforms like Snowflake, RedShift, BigQuery, and Azure Synapse Analytics.

Stitch Data offers a simple interface with ready-to-query schemas designed to accelerate the process of onboarding and extracting insights from new data sources.

The platform, as stated in one of its documentation pages, does not support user-defined data transformation. This means that you can’t carry out advanced data transformation processes on the platform. It does support and automate a few basic preload transformation processes, like JSON structures, data typing, object names, etc., but these are only sufficient for light- and medium-duty data warehousing needs. Advanced data transformation capabilities can only be accessed by signing up on Talend, Stitch Data’s “parent platform”.

The platform is also compliant with major security protocols, including SOC-2 and HIPAA.

Company rating
4.0
out of
5
Easy to setup
4.0
out of
5
Quality of support
3.5
out of
5

Use Cases

Stitch Data caters to small-, medium-, and large-scale organizations across multiple industries. This includes teams working in transportation, consulting, finance, retail, real estate, SaaS, healthcare, marketing, and more.

The platform offers solutions specifically designed for sales, marketing, and product intelligence teams. Stitch Data supports common marketing and sales data source connectors, like Facebook Ads, Google Analytics, HubSpot, Mailchimp, and others. It sources the data necessary for a high-level overview of performance, but the platform may lack sufficient data granularity to dig deep into campaign, page, and ad analytics.  

Product intelligence teams leverage Stitch Data to understand how users interact with products, launch strategies, and ship new features immediately.

The platform offers a few advanced features like multiple destinations, advanced scheduling, and smart cache refreshing, which benefit enterprise companies.

Stitch Data clients breakdown by industry and company size

Pricing

Stitch Stitch Data offers a three-tiered pricing system: Standard, Advanced, and Premium.

Users on the Standard plan can choose to be billed monthly or annually, while users on higher plans pay annually.

For users on the Standard plan, billing starts at $100 for 5 million rows per month and can reach  up to $1250 for 300 million rows. Stitch Data also lets users test run the platform for 14 days, free of charge. However, the free trial is only available on the Standard plan.

The Standard plan is best suited for individuals with minimum requirements for their data pipeline. The plan grants access to 10 out of 130 “standard” data sources. Only users on higher plans can use all of the prebuilt data sources, including “enterprise” sources like Amazon RDS, Oracle, Google Analytics 360, and Workday RaaS. 

Integrations

Stitch Data offers integration with 130 SaaS platforms and databases, delivering data to leading destinations (data warehouses, storage platforms, and data lakes) for analysis.

The data sources covered by Stitch Data include apps and platforms used by marketing and sales teams, like Google Analytics, Facebook Ads, Salesforce, SendGrid, etc. 

Stitch Data makes provisions for pushing data from custom sources (sources not included in its library). You can use the platform’s Import API or build your own connectors using the Singer framework.

Import API acts as a reception point for arbitrary data sent as JSON files. The received data is then processed and sent to your chosen destination. On the other hand, the Singer framework is an open-source solution that allows you to build your own taps (a fancy word for connectors). However, both methods are highly technical and require coding expertise.

Furthermore, Stitch accepts requests for custom connectors. However, this service is only available to enterprise customers.

Why Look for a Stitch Data Alternative?

  1. Stitch Data is a general-purpose ETL platform that caters to diverse teams. Thus, if you need an ETL solution specifically tailored to your needs as a marketing or sales professional, Stitch Data won’t have all of the features you need.
  2. Offers limited native data connectors. Current customers also note the lack of transparency with integration configurations, which makes it harder to resolve any emerging issues.
  3. Developing custom connectors requires advanced technical knowledge.
  4. Data transformation features aren’t up to par, according to several users.
  5. With a rating of 3 stars on Capterra, Stitch Data’s customer support leaves a lot to be desired. Customers on the Standard plan are limited to chat support.
  6. Customer reviews suggest the platform still struggles with data quality. So, if you need a platform with a 100% guarantee on data quality, Stitch may not be ideal.

Pros

Cons

Alternatives

Panoply is a secure place to store, sync, and access all your business data in the cloud, with built-in data integrations to all major CRMs, databases, file systems, ad networks, web analytics tools, and more.

Website:
Year founded:
2015
Company size:
10 - 50

Panoply.io

Panoply is a secure place to store, sync, and access all your business data in the cloud, with built-in data integrations to all major CRMs, databases, file systems, ad networks, web analytics tools, and more.

Year founded
2015
Company size
10 - 50

Panoply.io

Panoply.io is a cloud data platform providing ETL and data warehousing services for individuals and teams.

Its integration functionality is pretty standard, allowing users to connect data from multiple sources and control how it is collected. For instance, you can manage your destinations, primary and incremental keys, schemas, and how the system handles nested data.

The platform also supports User Defined Functions (UDFs), enabling users to perform advanced data manipulations. 

The platform's data warehousing solution makes it a valuable option for users new to data management as they wouldn't need to worry about setting up and connecting to external data warehouses, especially if they're small or medium-sized businesses with minimal data needs. For users who already house their data in external warehouses like RedShift and BigQuery, Panoply.io can connect data sources and deliver them to these destinations. However, this process requires some technical maneuvering.

Panoply.io offers integration with BI and visualization tools so users can generate insights, attribute ROI, and make data-driven decisions faster.

Company rating
4.5
out of
5
Easy to setup
4.0
out of
5
Quality of support
3.5
out of
5

Use Cases

Panoply positions itself as a tool for data engineers, analysts, and scientists. Additionally, Panoply can also be used by business analysts, marketers, product managers, and decision-makers who require access to data insights for informed decision-making. 

Thus, the platform can be used for marketing analytics purposes, such as performance tracking, ROI analysis, segmentation, and A/B testing.

A lot of customers complain about Panoply's customer support response time and, in general, about the level of support the team provides during the onboarding and operations. The lack of support means you need to have in-house expertise and IT resources to take care of the platform and make sure the data flows smoothly. 

Pricing

Panoply.io offers three pricing plans: Lite, Basic, and Standard, covering data warehousing and ETL solutions. Every user gets access to unlimited connectors, rows, and users.

Lite costs $399/month, offering a 1TB data warehouse. Basic charges $1089/month with 2TB of data warehouse storage space and the ability to request custom data connectors. Standard costs $1719/month and offers 4TB of warehouse storage, HIPAA compliance, onboarding with a data architect, warehouse and query support, and custom connector requests.

Integrations

Panoply.io comes fitted with over 300 integrations encompassing data sources, visualization platforms, and ETL tools, among others.

Only users on the top two pricing plans can request custom connectors. However, you can leverage supported APIs and CSV file connectors to integrate data from your custom sources.

Pros

Cons

Alternatives

What is Fivetran? Fivetran is a data collection and analytics tool. The platform lets you connect your applications, databases, and more to a centralized hub where you can view and analyze the data.

Website:
Year founded:
2012
Company size:
50 - 200

Fivetran

What is Fivetran? Fivetran is a data collection and analytics tool. The platform lets you connect your applications, databases, and more to a centralized hub where you can view and analyze the data.

Year founded
2012
Company size
50 - 200

Fivetran

Fivetran is a fully-managed ELT platform that helps business teams to automatically aggregate, clean and load business data from multiple sources to the destination of their choice.

With over 160 native integrations, the platform makes it possible for business teams to connect to a wide variety of data sources for efficient, data-driven decision-making.

Fivetran offers a slew of advanced data transformation capabilities through the open-source dbt Core, which is fairly popular among data analysts. This allows the platform’s users to leverage functionalities like transformation scheduling, data lineage graphs, notifications, and more. But as with all open-source tools, users will need to be extremely careful, especially when large volumes of data are involved.

That said, Fivetran claims to offer a comprehensive privacy, security, and compliance program that covers HIPAA, SOC-2, and ISO, among others.

Company rating
4.0
out of
5
Easy to setup
4.0
out of
5
Quality of support
4.5
out of
5

Use Cases

Fivetran is designed as a versatile tool that caters to a broad range of customers in different fields. This includes marketers, sales professionals, finance teams, engineers, and product managers, among others.

Pricing

Fivetran runs on a pay-as-you-use model. This means that you get billed every month for the volume of data you extract, load, and transform through the platform.

Integrations

Fivetran offers over 160 native connectors to data sources for multiple use cases, from marketing, sales, and finance to engineering, support, and product analytics. However, it doesn’t offer a seamless means for requesting custom connectors.

If you need a specific connector, you’ll need to go through the feature request portal to either pitch a new connector idea or upvote existing requests from a community of Fivetran customers. Also, if you have a private API or a custom data source unique to your organization, Fivetran allows you to build it externally and integrate it into the platform using its “function connector”. But this is supertechnical and requires advanced coding skills.

Pros

Cons

Alternatives

What is Blendo? Blendo is a self-serve data integration tool that connects data from cloud databases and apps to a data warehouse, such as BigQuery or Amazon Redshift, for analytics.

Website:
Year founded:
2014
Company size:
1 - 10

Blendo

What is Blendo? Blendo is a self-serve data integration tool that connects data from cloud databases and apps to a data warehouse, such as BigQuery or Amazon Redshift, for analytics.

Year founded
2014
Company size
1 - 10

Blendo

Blendo is a self-serving integration-as-a-service platform. It enables you to collect and sync your data using any data warehouse. Such data warehouses can be sourced from a variety of departments (e.g., sales, marketing, customer support, product, etc). Blendo also emphasizes the speed with which you can build a full data infrastructure that is fresh and aligned with the rest of the data in your company.
If you’re interested in Blendo, but want to be certain before you make the purchase, we’ve compiled a list of platforms similar to Blendo to help you compare your options.

Company rating
4.0
out of
5
Easy to setup
4.0
out of
5
Quality of support
3.5
out of
5

Use Cases

Pricing

Blendo doesn’t provide any pricing information on their site, so you will need to contact the company for a quote. There is a 14-day free trial offered.

Integrations

Pros

  • Easy to use
  • Helpful customer support
  • No engineer assistance needed

Cons

  • Sometimes pipelines need some maintenance
  • Not as flexible to change parameters for integrations after the initial setup
  • Doesn’t offer as many database connections as some competitors
  • Importing data the first time can take a while

Alternatives

This software comes with some of the best integration and data management utilities available in the market today.

Website:
Year founded:
Company size:

Talend

This software comes with some of the best integration and data management utilities available in the market today.

Year founded
Company size

Talend

Talend is a cloud data integration platform that allows businesses to integrate all their cloud and on-premises data in one platform, like a cloud data warehouse. It features powerful graphical tools, prebuilt integration templates, and a rich library of components that businesses can use to ease the process.
Businesses are able to scale their data projects with machine learning to meet the modern analytics needs of the market today, and they’re able to easily implement API's and data-as-a-service as part of their event driven architecture.

Company rating
3.5
out of
5
Easy to setup
3.5
out of
5
Quality of support
3.5
out of
5

Use Cases

Pricing

Pricing for Talend Cloud Data Integration is $1,170 per user per month or $12,000 per user per year. this includes both Talend Studio and Pipeline Designer licenses..

Integrations

Pros

  • The software can work with different formats including XML, JSON, and CSV.
  • Can easily connect to databases on different platforms.
  • JAVA technology allows users to integrate multiple scripts from libraries around the world.

Cons

High level of customization may require expertise in JAVA.

Alternatives

Website:
Year founded:
Company size:
No items found.

Informatica

Year founded
Company size

Informatica

Informatica encompasses a range of software products with an emphasis on enterprise cloud management and data integration. Its data integration solution leverages two popular architectures: Extract, Transform & Load (ETL), and Extract, Load & Transform (ELT).
Informatica’s portfolio also includes tools for cloud API management, cloud data governance and cataloging, and cloud master data management.

Company rating
out of
5
Easy to setup
out of
5
Quality of support
out of
5

Use Cases

Pricing

Integrations

Pros

Cons

Alternatives

Integrate.io (ex Xplenty) is an ETL marketing tool. It’s marketing platform allows you to integrate, process and prepare data for analytics on the cloud.

Website:
Year founded:
2012
Company size:
10 - 50

Integrate.io (ex Xplenty)

Integrate.io (ex Xplenty) is an ETL marketing tool. It’s marketing platform allows you to integrate, process and prepare data for analytics on the cloud.

Year founded
2012
Company size
10 - 50

Integrate.io (ex Xplenty)

Formerly known as Xplenty, Integrate.io is an ETL and ELT platform that lets users build automated pipelines that transform business data into actionable insights in real-time and at scale.

The platform offers integration to over 100 data sources alongside 200+ transformation options, making it easy for users to push analysis-ready data into their required destinations for reporting, analytics, and attribution.

One interesting component of its ETL infrastructure is the reverse ETL tool. This allows users to pull data from warehouses into business platforms like CRMs, marketing automation tools, and analytics platforms for easy activation. The platform also allows users to schedule their pipeline and monitor changes throughout the integration process.

Integrate.io's ELT solution allows users to leverage data replication for unifying data streams into one destination. It offers auto-schema mapping functionalities, which you can use to consistently maintain clean column, row, and table updates.

Company rating
4.5
out of
5
Easy to setup
3.5
out of
5
Quality of support
4.5
out of
5

Use Cases

Marketing teams can use Integrate.io for a wide range of use cases. Some examples include:

  • Data warehousing: Integrate.io can consolidate data from multiple sources, such as Google Analytics, Salesforce, and Marketo, into a single data warehouse for easier analysis.
  • ETL (Extract, Transform, Load): Integrate.io simplifies the ETL process by providing a user-friendly interface to connect various data sources, transform the data to the desired format, and load it into a database or data warehouse. Customers note that the tool doesn't support some advanced data management features, which can be critical for companies with big data usage.
  • Data cleansing: Integrate.io allows users to cleanse data before it is analyzed, ensuring it is accurate and reliable.
  • Data migration: Integrate.io can migrate data between different systems, such as moving data from an on-premises database to a cloud-based system.

Pricing

Integrate.io provides a range of pricing plans starting from $15,000 a year. These plans are based on the number of data connectors, monthly data processed, scheduling frequency, and other criteria. A free trial is included so customers can explore the features and services available before committing to a plan.

Furthermore, Integrate.io offers a custom Enterprise plan designed to fulfill particular requirements. 

Integrations

Integrate.io natively integrates with 150+ platforms for marketing, sales, customer success, and development teams.

The platform also offers a REST API to connect any database, file storage, or external HTTPS/SOAP service. Furthermore, if you need a custom integration built, Integrate.io allows you to send a direct request.

However, customers complain about a large number of issues that arise during the data extraction process, which is especially true for companies processing large volumes of data. Customers mention latency in data connectors, that API limits are very quickly achieved, and how they were charged for a connector that failed to integrate much-needed data. All in all, data extraction shortcomings may come in the way of scalability.

Pros

Cons

Alternatives

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Frequently asked questions

What is Alooma?

Alooma––an enterprise-oriented cloud solution–emphasizes the value of a real-time data pipeline service that allows for multi-source data integration. Such sources include applications, databases, and a wide range of APIs. Moreover, you can use Alooma to export, transform, and input data into data warehouses, analytics, machine learning, and BI.

What are some Alooma alternatives?

The most mentionable Alooma alternatives are Improvado, Hevo Data, Panoply, Fivetran, Funnel, and others.

How does the Alooma pricing model work?

Alooma’s pricing varies greatly. It depends on many factors, such as the number of data sources, destinations, business intelligence tools, and more. That’s why Alooma prefers to spell out all the details with the customer before setting a price. The company offers a 2-week free trial for those who have hesitations.

Why is Improvado one of the most promising Alooma competitors?

Improvado is an ETL solution that offers unlimited possibilities for marketing data organization and analysis. With this solution, you can build stunning dashboards, aggregate all data in one place, automate marketing reporting, and much more. Improvado offers unique marketing features that no one else has, like the Marketing Common Data Model algorithm for data normalization. That’s why this ETL platform is considered to be one of the most promising on the market.