Overview
What is Lyftrondata?
Lyftrondata is an enterprise data pipeline tool designed to eliminate the time spent by engineers building data pipelines manually, making data instantly available for insights.
Pricing
On-Premise
starts at $629
SAAS
starts at $59
PAAS
starts at $649
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Starting price (does not include set up fee)
- $59 per month
Product Details
- About
- Integrations
- Competitors
- Tech Details
- FAQs
What is Lyftrondata?
Lyftrondata Videos
Lyftrondata Integrations
- Accelo
- Acquisio
- Act-On Software
- Acumatica
- Amazon Athena
- Apache Hive
- Apache HBase
- IBM Db2 on Cloud edition
- Oracle Database
- PostgreSQL
- Salesforce Sales Cloud
- SAP HANA Cloud
- Snowflake
- Microsoft SQL Server
- Teradata Vantage
- SingleStore
- Stripe Payments
- Splunk Enterprise
- Airtable
- monday.com
- MySQL
- Microsoft SharePoint
- Microsoft Access
- Apache Spark
- Amazon Redshift
- MariaDB Platform
- Samanage
Lyftrondata Competitors
Lyftrondata Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | , |
Mobile Application | No |
Frequently Asked Questions
Comparisons
Compare with
Reviews
Community Insights
- Pros
- Cons
- Recommendations
Cost-effectiveness: Users appreciate Lyftrondata's cost-saving benefits, with some reviewers stating that it is an affordable option compared to other software. They found that Lyftrondata doesn't require a lot of coding or specialized queries, which translates into significant savings for their business.
Ease of use: Many users find Lyftrondata easy to use, making it accessible to everyone in their business. Reviewers appreciated how the software simplified data loading and warehousing processes while also providing customizable data sets and user-friendly UI-driven approaches for managing ETL processes.
Efficiency: The efficiency of Lyftrondata was cited by many users as its standout feature. Some reviewers stated that they achieved a significant speed gain compared to previous software while others highlighted the software's ability to process real-time data from multiple marketing streams accurately. Additionally, users appreciated the automation capabilities of Lyftrondata in creating data pipelines automatically and efficiently assimilating large volumes of data from popular and high-traffic sources.
Limited Customization: Some users have expressed that the user interface of Lyftrondata is not fully customizable and can be too sophisticated for some users, making it complicated to use. A few reviewers have mentioned that they would appreciate more customization options to tailor the software as per their business needs.
Pricing Structure: Some users have mentioned that the pricing mechanism of Lyftrondata could be more flexible and should introduce something less expensive for those using less data. They also suggest that the pricing structure should be more approachable to smaller businesses. Several reviewers feel that the current pricing model does not suit small businesses or companies with limited budgets.
Customer Support: There have been complaints about the customer service team's response time being slow, and some customers may require a bigger team to support more customers simultaneously. Reviewers want a faster turnaround time from customer support, especially when they are facing challenges while using the software.
Users highly recommend Lyftron for its excellent functionality, cost-effectiveness, and data security. They appreciate how it saves time, handles data efficiently, integrates with various data targets and BI tools, and provides excellent customer support. Another common recommendation is for Lyftron's wide range of data sourcing options, superior replication capabilities, and top-notch customer support. Users also highlight that Lyftron is the preferred choice for managing large data volumes with high speed and seamless integration with different data sources and BI tools.