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Compare Keboola and lyftrondata 
Featured Products
At a Glance
Market Segments
Mid-Market (64.7% of reviews)
Mid-Market (84.0% of reviews)
Entry-Level Pricing
Free With One-Time Purchase
Free 2
Keboola
Star Rating
(138)4.6 out of 5
Market Segments
Mid-Market (64.7% of reviews)
Pros & Cons
Entry-Level Pricing
Free With One-Time Purchase
Free Trial is available
Browse all 2 pricing planslyftrondata
Star Rating
(135)4.9 out of 5
Market Segments
Mid-Market (84.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Free 2
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Keboola excels in user support, with many users highlighting the fast response times and the ability to connect AI for enhanced data management. This has made it a favorite for those needing robust assistance during their data manipulation processes.
- Users say that Keboola's intuitive setup is a significant advantage, allowing even less experienced users to easily create data flows. Reviewers appreciate the ready-to-use components that simplify the extraction and writing of data, making it accessible for a wider range of users.
- According to verified reviews, lyftrondata shines in its data integration capabilities, particularly for CI/CD pipelines. Users have praised its ability to facilitate quick and simple data synchronization and analysis, which enhances their overall experience with data management.
- Reviewers mention that lyftrondata's user interface is designed for multichannel task management, making it easier to manage organizational data. This feature has been particularly beneficial for teams looking to streamline their data processes and make insightful decisions.
- G2 reviewers highlight that while Keboola has a strong focus on data manipulation, it faces challenges in areas like reporting and real-time analytics, where users feel lyftrondata offers superior performance. This difference can impact users who rely heavily on these features for timely decision-making.
- Users report that lyftrondata's no-code enrichment feature significantly simplifies data transformation tasks, making it easier to merge and enhance data quickly. This capability has been a game-changer for teams looking to optimize their data workflows without extensive coding knowledge.
Pricing
Entry-Level Pricing
Keboola
Free Tier
Free
With One-Time Purchase
Our Free Tier gives you 60 free computation minutes each month to explore, build, and prototype in Keboola. If you need more, you can manually or automatically top up your account with additional credits at $0.14 per minute.
This plan is ideal for early exploration, data prototyping, and self-paced learning, giving you a full hands-on experience with Keboola’s core capabilities—risk-free.
- Transformations: SQL, Python, R, dbt, No-code, Data Science
- Scheduling & Triggers: Time-based or event-driven job automation
- Monitoring & Alerts: Jobs list, email & webhook notifications
lyftrondata
Lyftron Data Migration
Free
2
Get Lyftron data loader free of cost to load your data from relational databases to Snowflake. No limit on data volume. It's free for life. Simply connect the source and load your data in just few clicks.
Feel free to setup sometime at calendly.com/lyftrondemo for more information.
- Extract
- Load
- Schedule
Free Trial
Keboola
Free Trial is available
lyftrondata
Free Trial is available
Ratings
Meets Requirements
8.7
110
9.8
130
Ease of Use
8.6
111
9.9
130
Ease of Setup
8.4
81
9.0
26
Ease of Admin
8.1
57
9.2
26
Quality of Support
9.5
108
9.8
129
Has the product been a good partner in doing business?
9.0
57
9.5
25
Product Direction (% positive)
8.9
105
9.9
129
Features by Category
Data Integration
8.3
21
Not enough data
8.2
21
Not enough data
8.0
21
Not enough data
7.5
19
Not enough data
6.1
18
Not enough data
8.1
20
Not enough data
Agentic AI - Data Management Platform (DMP)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Analysis & Optimization
7.5
21
Not enough data
6.8
19
Not enough data
5.3
20
Not enough data
6.1
20
Not enough data
Platform
7.3
20
Not enough data
7.7
21
Not enough data
8.7
21
Not enough data
8.8
20
Not enough data
7.0
19
Not enough data
Administration
Not enough data
9.9
40
Not enough data
10.0
40
Not enough data
10.0
40
Federation
Not enough data
10.0
40
Not enough data
10.0
40
Not enough data
10.0
40
Not enough data
10.0
40
Transformation
Not enough data
10.0
40
Not enough data
10.0
40
Not enough data
10.0
40
Functionality
8.7
67
Not enough data
8.5
67
Not enough data
8.8
64
Not enough data
8.0
70
Not enough data
9.1
65
Not enough data
5.2
54
Not enough data
Diverse Extraction Points
8.7
67
Not enough data
Management
7.1
62
9.7
89
7.2
55
9.6
90
Functionality
9.1
73
9.8
93
9.2
74
9.8
94
8.9
73
9.8
94
9.1
73
9.6
94
8.5
70
9.8
94
Functionality
Not enough data
10.0
32
Not enough data
9.9
32
Not enough data
10.0
32
Not enough data
10.0
32
Management
Not enough data
10.0
32
Not enough data
10.0
32
Not enough data
10.0
33
Not enough data
10.0
33
Security
Not enough data
10.0
33
Agentic AI - Cloud Migration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
6.8
15
10.0
35
7.6
19
10.0
35
8.4
19
10.0
35
7.7
19
10.0
35
Solution Provision
7.1
16
10.0
35
8.0
17
10.0
35
Feature Not Available
10.0
35
Data Management
Not enough data
10.0
32
Not enough data
10.0
32
Not enough data
10.0
32
Not enough data
9.9
32
Not enough data
10.0
32
Not enough data
10.0
32
Integration
Not enough data
10.0
32
Not enough data
10.0
32
Not enough data
10.0
32
Deployment
Not enough data
9.9
30
Not enough data
10.0
32
Performance
Not enough data
10.0
32
Security
Not enough data
10.0
32
Not enough data
10.0
32
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration Options
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Feature Not Available
Not enough data
Not enough data
Not enough data
Data Management
9.0
16
Not enough data
7.6
16
Not enough data
9.2
16
Not enough data
8.6
16
Not enough data
Agentic AI - DataOps Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
7.5
14
Not enough data
5.4
14
Not enough data
Monitoring and Management
8.4
16
Not enough data
7.7
15
Not enough data
Cloud Deployment
7.8
12
Not enough data
8.2
13
Not enough data
Generative AI
3.5
9
Not enough data
4.4
9
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Transformation
Not enough data
Not enough data
Not enough data
Not enough data
Connectivity
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Keboola and lyftrondata are categorized as Data Replication, ETL Tools, and Data Warehouse
Unique Categories
Keboola is categorized as DataOps Platforms, Data Extraction, Big Data Integration Platforms, iPaaS, Data Management Platform (DMP), and Big Data Analytics
lyftrondata is categorized as Data Virtualization and Cloud Migration
Reviews
Reviewers' Company Size
Keboola
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
lyftrondata
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Marketing and Advertising
12.8%
Information Technology and Services
12.8%
Retail
7.5%
Media Production
7.5%
Internet
6.0%
Other
53.4%
Information Technology and Services
73.3%
Health, Wellness and Fitness
11.5%
Retail
4.6%
Hospital & Health Care
1.5%
Computer Software
1.5%
Other
7.6%
Alternatives
Discussions
Are you planning to include those extractors: Pinterest, TikTok, Spinoco? All of the would be beneficial for our use.
2 Comments
Official Response from Keboola
TikTok should be published soon :-), Pinterest is on our list, but we have never heard about Spinoco. Probably usage of our generic extractor can help you...Read more
Keboola has no more discussions with answers
I wanted to load 200 TB of data into Snowflake
2 Comments
RP
Loading from Gzipped CSV is fastest way of loading from ORC and Parquet at ~15 TB/Hour. Read more
How would I connect with Mongodb and social media apps and query with ANSI Sql?
1 Comment
BW
Hello Rajaram,
You can simply choose the Mongo connector from connection dropdown and in just few click Lyftron will convert the Mongo Nosql to relational...Read more
What level of nesting of tags does Lyftron allows.
1 Comment
JS
Hello Abuzar,
Thanks for your enquiry, we allow upto 5 level of nested tagging. You can get more information about tagging and usage on this article...Read more
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