10 Robust Enterprise-Grade ELT Tools To Collect Loads of Data

By using these ELT tools, companies can enable their workforces where human intervention is absolutely necessary while automating repetitive and time-consuming tasks.

Enterprises in 2021 deal with a massive amount of data on a regular basis. The Global Data Fabric market analysis says, "Businesses that use insights from data extraction will earn $1.8 Trillion by the end of 2021". With such great amounts of data, it is becoming increasingly hard to maintain and categorize the collected data. Moreover, manually processing the data only became more time-consuming and monotonous. With rapid technological advancements, companies are finding ways to find even the slightest advantages to be the best in the market. Hence, adopting the right ELT tools/platform can greatly contribute to enterprise productivity. ELT tools can collect data, segregate the data based on common characteristics and provide clear-cut insights about the collected data.

Below is a list of the 10 enterprise-grade ELT tools that I rate above 4 (out of 5). These can provide great advantages to enterprises that adopt them.

1. K2View

Unlike traditional ETL and ELT tools that rely on complex, rigid, and compute-heavy transformations on database tables to deliver clean data into lakes and data warehouses, K2View Data Preparation Hub pipelines data by business entities. The Data Preparation Hub states the following:

"Our patented entity-based ETL (eETL) technology assures high-speed data pipelines with data integrity, low compute and network bandwidth consumption, and the agility to adapt pipelines in minutes.

Data engineers use the product’s no-code tools to create, test and deploy data preparation flows. Each data preparation flow integrates, cleanses, enriches, anonymizes, transforms, and pipelines data by integrated entities – enabling lightning-fast querying in data lakes, without complex, and compute-intensive joins between tables.

Since data is continually collected and processed by a business entity, it can also be delivered – at the same time – to operational systems in real-time, to support customer 360, operational intelligence, and other operational workloads."

Rating: 4.7/5

Website: K2view

2. Datarobot/Paxata

Datarobot makes data science available to every industry vertical by providing end-to-end automation for building, implementing, and managing machine learning models. The edge the Datarobot offers is that it can deliver AI at scale while improving its performance throughout the lifecycle. The automated solutions contribute toward better data analytics and ways to improve the existing processes through machine learning. Datarobot offers multiple connectivity methods like a simple CSV upload or an HDFS path.

Rating: 4.4/5

Website: Datarobot

3. Talend

Talend is an open-source data ELT data integration platform that is compatible with data resources that are both on-premise and cloud-based. Talend data integration platform also provides numerous pre-built integrations. The platform is available in both open-source and subscription methods. While the open-source version is found to be pretty effective, enterprises prefer the paid version. The paid version of the Talend data integration platform offers additional tools for design, productivity, management, and data governance.

Rating: 4.0/5

Website: Talend

4. Fivetran

Fivetran is a cloud-based ELT solution that supports data integration with various data warehouses like Azure and Redshift. Fivetran provides the ability to add custom integrations with its array of rich data sources. This tool is well-known for its simplicity and ease of use. Fivetran does not have any data limitations and hence can be used to centralize the company’s data and integrate all resources in one place. This will help in identifying the key performance indicators across the organization.

Rating: 4.3/5

Website: Fivetran

5. Altair

Altair, a software solution provider, mainly focuses on data analytics, product design, high-performance computing, and the Internet of Things (IoT). Monarch, a data analytic solution by Altair is a self-service data preparation tool. The platform possesses the capabilities to extract, cleanse and transform data with more than 80 pre-built data preparation functions. Altair’s Monarch can extract data from PDFs and convert them to PNGs, text files, and structure sources as well. One of the main advantages of Monarch is that it requires no coding abilities.

Rating: 4.5/5

Website: Altair

6. Xplenty

Xplenty, a cloud-based ELT platform for data integration, seamlessly unites multiple data sources. The simple visual interface to build data pipelines across multiple sources and destinations makes Xplenty highly user-friendly. Xplenty can be easily integrated with various data sources like MongoDB, MYSQL, PostgreSQL, Google Cloud, Amazon, Salesforce, etc. The Xplenty data integration platform also offers excellent customer support, security, and scalability. Companies can also make use of Xplenty’s “Field Level Encryption” to encrypt and decrypt data with their own private keys.

Rating: 4.4/5

Website: Xplenty

7. Informatica

Informatica is one of the predominant companies in providing ELT solutions. The feature-rich data integration platform for ELT workloads developed by Informatica is known as the “Informatica PowerCenter”. PowerCenter, an enterprise-grade solution, has a high reputation for its compatibility with various data sources - SQL and non-SQL. Informatica’s solutions are widely adopted by large enterprises whereas, for smaller enterprises, the learning curve could be a little challenging.

Rating: 4.3/5

Website: Informatica

Alteryx is one of the leading platforms in analytics process automation (APA). Their ELT offering unifies data analytics, data science, and machine learning along with business process automation (BPA) resulting in a platform that can accelerate digital transformation. The platform offers a code-free interface that can cater to users of various technical expertise. For advanced users, it also supports macros which can help the users with repetitive tasks.

Rating: 4.5/5

Website: Alteryx

Tamr offers data mastering solutions on cloud-native, on-premise, and hybrid deployments. This makes it a unique offering in the market. Tamr helps enterprises make informed decisions on their business processes with the help of analytics that the platform provides, which is already cleansed, updated, and curated for data analytics programs. Their machine learning drives data categorization and transformation with feedback workflows for the data experts to continuously improve their ML models. Tamr also provides an open architecture and APIs to easily integrate with data pipelines including the legacy ones.

Rating: 4.1/5

Website: Tamr

10. Denodo

Denodo offers high-performance data integration and abstraction platform to a wide range of big data, enterprise, unstructured, real-time, and cloud data services. Denodo offers unified business data for BI, analytics, etc. Denodo platform connectivity supports databases, legacy data, flat files, packaged applications, and emerging data types (Hadoop). Denodo is the only data visualization platform that has been provisioned as a virtual image on the AWS marketplace. Using Denodo, users can access and secure data in multiple formats such as REST, SOAP, and OData.

Rating: 4.1/5

Website: Denodo

Summary

All of the above-mentioned ELT tools also help in Business Process Automation (BPA), which can greatly increase productivity by noticeable margins. Using these tools, companies can enable their workforces where human intervention is absolutely necessary while automating repetitive and time-consuming tasks.

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