Best Big Data Integration Platforms - Page 2

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Big data integration platforms facilitate the integration and analysis of large-scale data across cloud applications and databases, helping companies manage and utilize enormous volumes of data collected from IoT endpoints, applications, and communications by creating structured pipelines that connect big data processing outputs to downstream systems.

Core Capabilities of Big Data Integration Platforms

To qualify for inclusion in the Big Data Integration category, a product must:

Integrate big data processing data to external sources
Ingest and distribute large sets of homogenous and heterogeneous data
Create a structured pipeline for big data management processes
Common Use Cases for Big Data Integration Platforms

Data engineering and IT teams use big data integration platforms to connect large-scale data environments with business applications and analytics systems. Common use cases include:

Integrating processed big data clusters with cloud applications and databases for downstream use
Simplifying the management of high-volume IoT and application data across distributed environments
Building structured data pipelines that enable consistent, reliable access to big data insights across the organization
How Big Data Integration Platforms Differ from Other Tools

Big data integration platforms typically require big data to have been processed prior to integration, working in conjunction with big data processing and distribution software rather than replacing it. While some platforms provide stream analytics capabilities, their primary focus is on data management and integration pipelines rather than real-time analytical processing.

Insights from G2 Reviews on Big Data Integration Platforms

According to G2 review data, users highlight pipeline flexibility and broad connector support for cloud applications and databases as standout capabilities. Data teams frequently cite improved data accessibility across systems and reduced integration complexity as primary outcomes of adoption.

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Featured Big Data Integration Platforms At A Glance

Leader:
Google Cloud BigQuery
Google Cloud BigQuery
Highest Performer:
5X
5X
Easiest to Use:
5X
5X
Top Trending:
Peliqan
Peliqan
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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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129 Listings in Big Data Integration Platforms Available
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ILUM
(24)4.9 out of 5
Entry Level Price:Free
2nd Easiest To Use in Big Data Integration Platforms software
OverviewPros and Cons
Product Description

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineer

Industries: Telecommunications · Market Segment: 50% Enterprise, 33% Mid-Market
User Sentiment

Users like the flexibility of Ilum, its user-friendly interface, quick setup process, excellent customer support, and its ability to integrate well with other tools, making daily operations easier and more organized. Reviewers mentioned that Ilum could benefit from additional modules focused on ETL, more visual options for customizing dashboards, and that it requires some basic knowledge of K8S to start with, which can be challenging for some users.

Pros and ConsUser Satisfaction
ProsEase of Use, Features, Integrations, Setup Ease, Easy Integrations
ConsComplex Setup, Difficult Setup, Learning Curve, UX Improvement, Complexity
User SatisfactionSeller Details
ILUM features and usability ratings that predict user satisfaction
9.7
Has the product been a good partner in doing business?
Average: 8.9
9.5
Quality of Support
Average: 8.9
9.3
Ease of Use
Average: 8.9
9.2
Ease of Admin
Average: 8.5
Seller Details
Seller
Ilum
Company Website
Year Founded
2019
HQ Location
Santa Fe, US
Twitter
@IlumCloud
19 Twitter followers
LinkedIn® Page
www.linkedin.com
4 employees on LinkedIn®
dbt
(198)4.7 out of 5
8th Easiest To Use in Big Data Integration Platforms software
View top Consulting Services for dbt
OverviewPros and Cons
Product Description

dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documenta

Users: Data Engineer, Analytics Engineer · Industries: Information Technology and Services, Computer Software · Market Segment: 57% Mid-Market, 27% Small-Business
Pros and ConsUser Satisfaction
ProsEase of Use, Features, Automation, Transformation, Integrations
ConsLimited Functionality, Dependency Issues, Steep Learning Curve, Error Handling, Error Reporting
User SatisfactionSeller Details
dbt features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.9
8.9
Quality of Support
Average: 8.9
9.0
Ease of Use
Average: 8.9
8.5
Ease of Admin
Average: 8.5
Seller Details
Seller
Fivetran
Year Founded
2012
HQ Location
Oakland, CA
Twitter
@fivetran
5,708 Twitter followers
LinkedIn® Page
www.linkedin.com
1,738 employees on LinkedIn®
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Coefficient
(170)4.7 out of 5
Entry Level Price:Free
OverviewPros and Cons
Product Description

Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficien

Industries: Computer Software, Information Technology and Services · Market Segment: 49% Mid-Market, 35% Small-Business
Pros and ConsUser Satisfaction
ProsEase of Use, Automation, Integrations, Time-saving, Easy Integrations
ConsLimited Features, Feature Limitations, Limitations, Missing Features, Integration Issues
User SatisfactionSeller Details
Coefficient features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
8.9
Quality of Support
Average: 8.9
9.1
Ease of Use
Average: 8.9
9.2
Ease of Admin
Average: 8.5
Seller Details
Seller
Coefficient
Company Website
Year Founded
2020
HQ Location
Palo Alto, CA
Twitter
@coefficient_io
358 Twitter followers
LinkedIn® Page
www.linkedin.com
70 employees on LinkedIn®
Azure Synapse Analytics
(36)4.4 out of 5
View top Consulting Services for Azure Synapse Analytics
OverviewPros and Cons
Product Description

Azure Synapse Analytics is a cloud-based Enterprise Data Warehouse (EDW) that leverages Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data.

Industries: Information Technology and Services · Market Segment: 42% Mid-Market, 33% Enterprise
Pros and ConsUser Satisfaction
ProsAnalytics, Automation, Cloud Integration, Cost-Effective, Data Integration
ConsCost Estimation, Cost Management, Debugging Issues, Difficult Debugging, Expensive
User SatisfactionSeller Details
Azure Synapse Analytics features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.9
8.7
Quality of Support
Average: 8.9
8.8
Ease of Use
Average: 8.9
8.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,088,764 Twitter followers
LinkedIn® Page
www.linkedin.com
227,697 employees on LinkedIn®
Ownership
MSFT
Peliqan
(70)4.8 out of 5
Entry Level Price:€350.00
9th Easiest To Use in Big Data Integration Platforms software
OverviewPros and Cons
Product Description

Peliqan.io is an all-in-one AI-first data integration and automation platform designed for business teams, scale-ups and consultants. Unlike traditional data tools that demand heavy engineering effort

Industries: Computer Software, Information Technology and Services · Market Segment: 49% Mid-Market, 41% Small-Business
Pros and ConsUser Satisfaction
ProsEase of Use, Integrations, Easy Integrations, Connectors, Data Management
ConsLearning Difficulty, Required Technical Skills, Feature Limitations, Learning Curve, Steep Learning Curve
User SatisfactionSeller Details
Peliqan features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
9.1
Quality of Support
Average: 8.9
9.3
Ease of Use
Average: 8.9
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
Peliqan
Company Website
Year Founded
2022
HQ Location
Gent
Twitter
@Peliqan_io
8 Twitter followers
LinkedIn® Page
www.linkedin.com
27 employees on LinkedIn®
AWS Glue
(198)4.3 out of 5
View top Consulting Services for AWS Glue
OverviewPros and Cons
Product Description

AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and app

Users: Data Engineer, Software Engineer · Industries: Information Technology and Services, Computer Software · Market Segment: 48% Enterprise, 29% Mid-Market
Pros and ConsUser Satisfaction
ProsEase of Use, Data Integration, ETL Solutions, Features, Simple
ConsSlow Performance, Debugging Difficulty, Difficult Debugging, Performance Issues, Time-Consuming
User SatisfactionSeller Details
AWS Glue features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.9
8.3
Quality of Support
Average: 8.9
8.4
Ease of Use
Average: 8.9
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Amazon Web Services (AWS)
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,220,412 Twitter followers
LinkedIn® Page
www.linkedin.com
156,424 employees on LinkedIn®
Ownership
NASDAQ: AMZN
Weld
(100)4.8 out of 5
Entry Level Price:Starting at $99.00
10th Easiest To Use in Big Data Integration Platforms software
OverviewPros and Cons
Product Description

Weld delivers an ultra-fast, secure, and reliable way to move data from all your tools, applications, and databases into cloud data warehouses, such as Snowflake, BigQuery, and Databricks. Deploy d

Users: CEO · Industries: Computer Software, Retail · Market Segment: 59% Small-Business, 40% Mid-Market
Pros and ConsUser Satisfaction
ProsEase of Use, Customer Support, Features, Automation, Data Integration
ConsLimited Connectors, Feature Limitations, Missing Features, Limited Integrations, Connectivity Issues
User SatisfactionSeller Details
Weld features and usability ratings that predict user satisfaction
9.7
Has the product been a good partner in doing business?
Average: 8.9
9.7
Quality of Support
Average: 8.9
8.8
Ease of Use
Average: 8.9
9.1
Ease of Admin
Average: 8.5
Seller Details
Seller
Weld
Year Founded
2021
HQ Location
Copenhagen, DK
Twitter
@WeldHQ
99 Twitter followers
LinkedIn® Page
www.linkedin.com
97 employees on LinkedIn®
Keboola
(138)4.6 out of 5
Entry Level Price:Free
OverviewPros and Cons
Product Description

Keboola is the unified AI & Data orchestration platform that empowers organizations to turn data into business value faster and more securely than ever. It acts as your agentic AI co-pilot for dat

Users: Data Analyst, Data Engineer · Industries: Information Technology and Services, Marketing and Advertising · Market Segment: 64% Mid-Market, 21% Small-Business
Pros and ConsUser Satisfaction
ProsEase of Use, Features, Data Management, Integrations, Customer Support
ConsLearning Curve, Complexity, Steep Learning Curve, Data Management, UX Improvement
User SatisfactionSeller Details
Keboola features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
9.5
Quality of Support
Average: 8.9
8.6
Ease of Use
Average: 8.9
8.1
Ease of Admin
Average: 8.5
Seller Details
Seller
Keboola
Company Website
Year Founded
2008
HQ Location
Prague
Twitter
@keboola
2,015 Twitter followers
LinkedIn® Page
www.linkedin.com
113 employees on LinkedIn®
AWS Lake Formation
(36)4.4 out of 5
OverviewUser Satisfaction
Product Description

AWS Lake Formation is a fully managed service to build, manage, secure, and share data in data lakes in days. You can centralize security and governance, and enable data sharing across the organizatio

Industries: Information Technology and Services · Market Segment: 50% Small-Business, 33% Enterprise
User SatisfactionSeller Details
AWS Lake Formation features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
8.3
Quality of Support
Average: 8.9
8.7
Ease of Use
Average: 8.9
8.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Amazon Web Services (AWS)
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,220,412 Twitter followers
LinkedIn® Page
www.linkedin.com
156,424 employees on LinkedIn®
Ownership
NASDAQ: AMZN
CData Connectors
(16)4.2 out of 5
Entry Level Price:Starting at $499.00
OverviewPros and Cons
Product Description

CData Drivers & Connectors is a data connectivity platform that provides standards-based drivers and connectors for real-time access to over 300 SaaS applications, databases, APIs, and big data so

Market Segment: 31% Mid-Market, 31% Enterprise
Pros and ConsUser Satisfaction
ProsEase of Use, Connectors, Easy Setup, Implementation Ease, Integrations
ConsExpensive, Connection Issues, Poor Performance, Data Inaccuracy, Large Datasets Management
User SatisfactionSeller Details
CData Connectors features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.9
9.3
Quality of Support
Average: 8.9
8.3
Ease of Use
Average: 8.9
7.8
Ease of Admin
Average: 8.5
Seller Details
Seller
CData
Company Website
Year Founded
2014
HQ Location
Chapel Hill, NC
Twitter
@cdatasoftware
2,001 Twitter followers
LinkedIn® Page
www.linkedin.com
496 employees on LinkedIn®
Adriel
(41)4.5 out of 5
Entry Level Price:Starting at $6,000.00
12th Easiest To Use in Big Data Integration Platforms software
OverviewPros and Cons
Product Description

Adriel is a comprehensive AdOps platform designed to assist marketers in managing their advertising operations through no-code reporting and creative intelligence solutions. This platform caters to th

Industries: Marketing and Advertising · Market Segment: 73% Small-Business, 10% Mid-Market
Pros and ConsUser Satisfaction
ProsEase of Use, Reporting, Customer Support, Analytics, Insights
ConsMissing Features, Complex Setup, Data Management, Difficult Setup, Learning Curve
User SatisfactionSeller Details
Adriel features and usability ratings that predict user satisfaction
9.5
Has the product been a good partner in doing business?
Average: 8.9
9.8
Quality of Support
Average: 8.9
8.7
Ease of Use
Average: 8.9
9.2
Ease of Admin
Average: 8.5
Seller Details
Seller
Adriel
Company Website
Year Founded
2017
HQ Location
Austin, Texas
Twitter
@AdrielMarketing
353 Twitter followers
LinkedIn® Page
www.linkedin.com
59 employees on LinkedIn®
Nexla
(62)4.6 out of 5
OverviewPros and Cons
Product Description

Nexla is an enterprise-grade, AI-powered data integration platform designed to help organizations unlock data from any source and transform it into production-ready data products for AI and agents. Wi

Industries: Computer Software, Insurance · Market Segment: 42% Mid-Market, 34% Small-Business
Pros and ConsUser Satisfaction
ProsEase of Use, Automation, Data Management, Integrations, Data Integration
ConsLearning Difficulty, Slow Performance, Difficult Learning, Learning Curve, Poor Documentation
User SatisfactionSeller Details
Nexla features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
8.9
Quality of Support
Average: 8.9
8.7
Ease of Use
Average: 8.9
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
Nexla
Company Website
Year Founded
2016
HQ Location
San Mateo, California
Twitter
@NexlaInc
949 Twitter followers
LinkedIn® Page
www.linkedin.com
76 employees on LinkedIn®
IBM DataStage
(72)4.0 out of 5
OverviewPros and Cons
Product Description

IBM® InfoSphere® DataStage® is a leading ETL platform that integrates data across multiple enterprise systems. It leverages a high performance parallel framework, available on-premises or in the cloud

Industries: Banking, Information Technology and Services · Market Segment: 76% Enterprise, 15% Mid-Market
Pros and ConsUser Satisfaction
ProsCustomization, Data Pipelining, Drag, Ease of Use, Efficiency Improvement
ConsComplex Processes, Dependency Issues, Expensive, Lack of Real-Time Data, Learning Difficulty
User SatisfactionSeller Details
IBM DataStage features and usability ratings that predict user satisfaction
7.7
Has the product been a good partner in doing business?
Average: 8.9
7.7
Quality of Support
Average: 8.9
8.0
Ease of Use
Average: 8.9
7.1
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,320 Twitter followers
LinkedIn® Page
www.linkedin.com
324,553 employees on LinkedIn®
Ownership
SWX:IBM
Adverity
(263)4.4 out of 5
Entry Level Price:Contact Us
OverviewPros and Cons
Product Description

Centralized Data Management for the Modern Marketer Adverity is the marketing intelligence platform that empowers agencies and enterprises to transform complex data into confident, AI-powered decis

Users: Data Analyst, Data Engineer · Industries: Marketing and Advertising, Information Technology and Services · Market Segment: 42% Mid-Market, 41% Small-Business
Pros and ConsUser Satisfaction
ProsEase of Use, Data Management, Integrations, Easy Integrations, Customer Support
ConsTime-Consuming, Data Management, Lack of Information, Time Delays, Difficult Learning
User SatisfactionSeller Details
Adverity features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.9
8.9
Quality of Support
Average: 8.9
7.9
Ease of Use
Average: 8.9
8.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Adverity GmbH
Company Website
Year Founded
2015
HQ Location
Vienna, Austria
Twitter
@myadverity
1,761 Twitter followers
LinkedIn® Page
www.linkedin.com
292 employees on LinkedIn®
Y42
(21)4.9 out of 5
OverviewUser Satisfaction
Product Description

Y42’s Turnkey Data Orchestration Platform with embedded Observability gives data practitioners a unified space to reliably build, monitor, and maintain the flow of data to power their business analyti

Market Segment: 52% Small-Business, 38% Mid-Market
User SatisfactionSeller Details
Y42 features and usability ratings that predict user satisfaction
9.7
Has the product been a good partner in doing business?
Average: 8.9
10.0
Quality of Support
Average: 8.9
9.4
Ease of Use
Average: 8.9
9.2
Ease of Admin
Average: 8.5
Seller Details
Seller
Y42
Year Founded
2020
HQ Location
Berlin, DE
Twitter
@y42dotcom
279 Twitter followers
LinkedIn® Page
www.linkedin.com
25 employees on LinkedIn®
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