Lyftrondata VS Fivetran

Challenge the traditional methods: Bottlenecks of data pipeline tools

Business-critical decisions, future expansion plans, business investment, and more similar generated the need to deliver real-time reports from ever-growing business data. The required data existed in different silos and was not easily accessible for visualization or analysis. Without a lot of preparation, generating such real-time reports was only a dream. The complexities in data management quickly led to the evolution of data pipeline systems for generating meaningful insights out of big data.

The very core of data management is rapidly evolving because the speed and volume of data are growing faster than what current technology can keep up with. Traditional methods utilizing obsolete ETL, ELT, and legacy data warehouses are far too expensive and require time and effort to build the solutions. As a result, we see many data-driven companies missing their SLAs instead of using modern-day solutions which are meant to combat such challenges.

What's Fivetran

Fivetran delivers ready-to-use connectors that automatically adapt as schemas and APIs change, ensuring consistent, reliable access to data. Fivetran improves the accuracy of data-driven decisions by continuously synchronizing data from source applications to any destination, allowing analysts to work with the freshest possible data. To accelerate analytics, Fivetran automates in-warehouse transformations and programmatically manages ready-to-query schemas.

What’s Lyftrondata
Lyftrondata is a modern data fabric solution that provides real-time access to any data and enables users to query them with simple ANSI SQL. With Lyftrondata, enterprises can build data pipelines in minutes and shorten the time to insights by 75%, with the power of modern cloud computing of Snowflake and Spark.
Lyftrondata eliminates the time spent by engineers building data pipelines manually and makes data instantly accessible to analysts with simple and standard ANSI SQL. Its prebuilt connectors automatically deliver data to warehouses in normalized, ready-to-query schemas and provide full search on the data catalog.

Why Lyftrondata, a comprehensive  ANSI SQL Platform  is the best

  • Speed

    Fastest response to your queries at a massive scale

  • Density

    Migrates any amount of data from any source of your choice

  • Velocity

    Data transformation possible in a fraction of minutes

  • Simplicity

    Effortless modern data hub for workload migration

  • Time

    Shortest time-to-value and actionable insights

  • Cost

    Huge cost savior for all kinds of migration projects.

Comparative rating index

Not available Available with limited functionalities Available with industry's best functionalities
Highlights Lyftrondata Fivetran
Cost
G2 Rating
5 stars 76 reviews
4 star 49 reviews
Number of Connectors
300+ connectors
130 connectors
Learning Curve and Time to Build Data Pipeline
1-5 days
1-5 days
Team Size
1-10 resources
1-15 resources
Security Protocol
GDPR and HIPPA
GDPR
Deployment
SAAS
On-Premise
PAAS
Core Competencies
Data Pipeline
Automatic ANSI SQL Pipeline. Lyftrondata eliminates the time spent building data pipelines manually and makes data instantly accessible with simple ANSI SQL.
Data Catalog
With Lyftrondata, users can access an enterprise-wide data catalog and data lineage to quickly discover, understand, and manage all their data and keep it up-to-date.
Delta Lake
Lyftrondata arguably shares a better framework to build a sophisticated delta lake on Amazon S3, Blob, and Google Storage.
Data Virtualization
Lyftrondata provides a common abstraction over any data source type, shielding users from its complexity and back-end technologies it operates on. It relies on views that allow users to integrate data on the fly.
Data Replication
Faster and smoother with Lyftrondata, as it quickly replicates all business data to the data warehouse, without the need for maintenance or configuration.
Managed Warehouse
Lyftrondata's large-scale, high-performance, and cost-effective warehouse is designed to collect the data from more than 150 sources, transform it with familiar SQL, and analyze it in BI tools for instant insights, all with zero coding absolutely.
Data Sharing
With Lyftrondata's robust and secured sharing framework, you can enable governance on your data hub and easily maintain one-to-one, one-to-many, and many-to-many relationships with your customers & partners.
API Data Models
Lyftrondata empowers users to avoid creating time-consuming code and use SQL to query any data, both structured and semi-structured.
Data Preparation
Data preparation with Lyftrondata enables cleaning, structuring, and enriching raw data into the desired output for analysis. This functions to clean and transform data from one or more sources to improve its quality prior to its use in business data analysis.
SQL Workbench
Use SQL to query any data, both structured and semi-structured. Our Warehouse supports automatic zero code JSON/XML/API parsing to relational format. Analyze instantly with ANSI.
Data Governance
Lyftrondata comes with a built-in enterprise data governance framework complying with all of the necessary rules and a robust data lineage model that follows high-quality controls and governance mechanisms.
Highlights Lyftrondata Fivetran
Cost
G2 Rating
5 stars 76 reviews
4 star 49 reviews
Number of Connectors
300+ connectors
130 connectors
Learning Curve and Time to Build Data Pipeline
1-5 days
1-5 days
Team Size
1-10 resources
1-15 resources
Security Protocol
GDPR and HIPPA
GDPR
Deployment
SAAS
On-Premise
PAAS
Core Competencies
Data Pipeline
Automatic ANSI SQL Pipeline. Lyftrondata eliminates the time spent building data pipelines manually and makes data instantly accessible with simple ANSI SQL.
Data Catalog
With Lyftrondata, users can access an enterprise-wide data catalog and data lineage to quickly discover, understand, and manage all their data and keep it up-to-date.
Delta Lake
Lyftrondata arguably shares a better framework to build a sophisticated delta lake on Amazon S3, Blob, and Google Storage.
Data Virtualization
Lyftrondata provides a common abstraction over any data source type, shielding users from its complexity and back-end technologies it operates on. It relies on views that allow users to integrate data on the fly.
Data Replication
Faster and smoother with Lyftrondata, as it quickly replicates all business data to the data warehouse, without the need for maintenance or configuration.
Managed Warehouse
Lyftrondata's large-scale, high-performance, and cost-effective warehouse is designed to collect the data from more than 150 sources, transform it with familiar SQL, and analyze it in BI tools for instant insights, all with zero coding absolutely.
Data Sharing
With Lyftrondata's robust and secured sharing framework, you can enable governance on your data hub and easily maintain one-to-one, one-to-many, and many-to-many relationships with your customers & partners.
API Data Models
Lyftrondata empowers users to avoid creating time-consuming code and use SQL to query any data, both structured and semi-structured.
Data Preparation
Data preparation with Lyftrondata enables cleaning, structuring, and enriching raw data into the desired output for analysis. This functions to clean and transform data from one or more sources to improve its quality prior to its use in business data analysis.
SQL Workbench
Use SQL to query any data, both structured and semi-structured. Our Warehouse supports automatic zero code JSON/XML/API parsing to relational format. Analyze instantly with ANSI.
Data Governance
Lyftrondata comes with a built-in enterprise data governance framework complying with all of the necessary rules and a robust data lineage model that follows high-quality controls and governance mechanisms.
Highlights Lyftrondata Fivetran
Ease of Use
Easy to use click-based user interface delivers a codeless development environment.
Access Rights
With Lyftrondata, users can easily manage access rights and roles on various levels of granularity.
User Management
Lyftrondata uses users and roles for access management. Permissions can be assigned on a per-user or per-role basis.
Role Management
Lyftrondata comes with several predefined roles which define the actual permissions for the given users.
Auto Data Type Conversion
Automated data type mapping keeps detecting and loading incremental data to the target.
Scheduler
Lyftrondata supports a user-defined recurrent task called a job which is used along with a scheduler.
Tagging
Universal data catalog tag-based search of Lyftrondata enables users to have full control of their data catalog and do the search with ease.
Workflow
Lyftrondata makes the data available in minutes and automates data workflows using SQL, thereby cutting down the development, cost, time, and efforts by 80%.
Execution History
With Lyftrondata, users can get a list of recently executed statements under the execution history.
Broken Pipeline Alerts
Get alerts and notifications on broken pipelines.
Row Level Security
Lyftrondata's modern architecture provides row-level access security to the users and makes it easy to share data without writing any single piece of code.
Column Level Security
Lyftrondata's modern architecture provides column-level access security to the users and makes it easy to share data without writing any single piece of code.
Notification and Alerts
Lyftrondata comes with a build-in notification system to alert users when the source is changed.
User Activity History
Lyftrondata uses the industry-leading log-based change data capture technology to continuously detect and load incremental changes with minimal impact on the source systems.
Highlights Lyftrondata Fivetran
Ease of Use
Easy to use click-based user interface delivers a codeless development environment.
Access Rights
With Lyftrondata, users can easily manage access rights and roles on various levels of granularity.
User Management
Lyftrondata uses users and roles for access management. Permissions can be assigned on a per-user or per-role basis.
Role Management
Lyftrondata comes with several predefined roles which define the actual permissions for the given users.
Auto Data Type Conversion
Automated data type mapping keeps detecting and loading incremental data to the target.
Scheduler
Lyftrondata supports a user-defined recurrent task called a job which is used along with a scheduler.
Tagging
Universal data catalog tag-based search of Lyftrondata enables users to have full control of their data catalog and do the search with ease.
Workflow
Lyftrondata makes the data available in minutes and automates data workflows using SQL, thereby cutting down the development, cost, time, and efforts by 80%.
Execution History
With Lyftrondata, users can get a list of recently executed statements under the execution history.
Broken Pipeline Alerts
Get alerts and notifications on broken pipelines.
Row Level Security
Lyftrondata's modern architecture provides row-level access security to the users and makes it easy to share data without writing any single piece of code.
Column Level Security
Lyftrondata's modern architecture provides column-level access security to the users and makes it easy to share data without writing any single piece of code.
Notification and Alerts
Lyftrondata comes with a build-in notification system to alert users when the source is changed.
User Activity History
Lyftrondata uses the industry-leading log-based change data capture technology to continuously detect and load incremental changes with minimal impact on the source systems.
Highlights Lyftrondata Fivetran
API Normalization
Lyftrondata connectors automatically normalize the data from API, JSON, and XML formats.
SQL Support
Use SQL to query any data, both structured and semi-structured.
Data Hub
With Lyftrondata's data virtualization capabilities, link cross-platform sources easily and quickly, without moving the data.
Support, Documentation and Training
Get the round-the-clock training & support with Lyftrondata.
Transformation
Have your staff trained in the new tools and architecture of Lyftrondata which enables the swift transition to your team.
Real-time Integration
All transformations are defined in standard SQL, which are pushed down to the data warehouse in their native SQL for better performance. Use default templates for common transformations like Star Schema and integration techniques, eliminating time spent on tedious tasks.
Built-in Spark Parallel Processing
Continuously load your real-time data to destination with minimal impact on source systems. Get instant insights in BI tools with the latest data sets.
Data Profiling
The robust architecture of Lyftrondata allows parallel processing of 2000+ data warehouse queries.
Auto Data Masking
Lyftrondata empowers enterprises to do data masking and encryption at the field level. Users can control the security thoroughly.
Proactive Monitoring
Monitors data quality and send alerts based on changes made in data sources.
Highlights Lyftrondata Fivetran
API Normalization
Lyftrondata connectors automatically normalize the data from API, JSON, and XML formats.
SQL Support
Use SQL to query any data, both structured and semi-structured.
Data Hub
With Lyftrondata's data virtualization capabilities, link cross-platform sources easily and quickly, without moving the data.
Support, Documentation and Training
Get the round-the-clock training & support with Lyftrondata.
Transformation
Have your staff trained in the new tools and architecture of Lyftrondata which enables the swift transition to your team.
Real-time Integration
All transformations are defined in standard SQL, which are pushed down to the data warehouse in their native SQL for better performance. Use default templates for common transformations like Star Schema and integration techniques, eliminating time spent on tedious tasks.
Built-in Spark Parallel Processing
Continuously load your real-time data to destination with minimal impact on source systems. Get instant insights in BI tools with the latest data sets.
Data Profiling
The robust architecture of Lyftrondata allows parallel processing of 2000+ data warehouse queries.
Auto Data Masking
Lyftrondata empowers enterprises to do data masking and encryption at the field level. Users can control the security thoroughly.
Proactive Monitoring
Monitors data quality and send alerts based on changes made in data sources.
Highlights Lyftrondata Fivetran
Ease of Admininstration
Ease of Building Pipeline Automatically
Ease of Writing SQL to Query API
Quality of Support
Ease of Setup and Configuration

Lyftrondata's
value
propositions
that set it
apart from
data pipeline tools
like Fivetran

  • Time to insight shorter by 75%

    BI users can prototype data sets for analytics on real-time data and replicate the data to cloud data warehouses once the dashboards are finalized.

  • What does this mean ? in 5 days? – how is this good or better ?

    The Lyftrondata data fabric solution works as a pass-through SQL proxy to multiple databases and data sources. Both the legacy DWs and cloud data warehouses like Snowflake, Big Query, Redshift, Azure PDW and Instant Analytics are connected to Lyftrondata. BI tools are switched to use Lyftrondata as a data source. Lyftrondata accepts SQL queries, translates them and forwards them (pushes down) to the legacy Data Warehouse or Snowflake, Big query, Redshift, Azure PDW and Instant Analytics.
    As a result, the data warehouse may be migrated step-by-step. This particular feature is important for migrations from Microsoft SQL Server because Lyftrondata is wire compatible with MSSQL and only the server name must be changed in BI tools from MSSQL to Lyftrondata.

  • Whole database migration (lyft-and-shift approach) is possible in 10 days, independent of the database size (number of tables)

    All data pipelines in Lyftrondata are defined in SQL. This concept enables scripting of all data pipelines. This unique solution is a huge advantage over ETL tools because data pipelines may be automatically scripted instead of building them manually in a visual designer. Data Warehouse architects are looking for a way to apply DevOps principles in the data warehouse design and automate as much as possible via scripting.

  • Large table scan queries on modern cloud data warehouses may be 1000x faster

    When Lyftrondata is used as an SQL proxy that translates SQL queries on the fly. This feature is used when a cube is defined in Lyftrondata. Aggregated queries with GROUP BY and joins are rewritten on the fly to use smaller, preaggregated materialized views. Lyftrondata maintains materialized views for frequently queried combinations of joins and grouping conditions. An example: the main dashboard may always show a graph with the revenue per business unit and such query would have to perform a full table scan for a huge fact table whenever a user opens the main dashboards. With Lyftrondata, it is possible to define a preaggregated view with a GROUP BY bu_id that has only 20 rows. Those queries will execute instantly because they are redirected to a smaller materialized view.

  • Modern cloud database is usable from all BI tools

    Lyftrondata works as an SQL proxy (a semantic data layer) between BI tools and cloud data warehouses like Snowflake, Big query, Redshift, Azure PDW and Instant Analytics. Lyftrondata is wire compatible with Microsoft SQL Server and uses Transact-SQL dialect. MSSQL drivers are widely supported by all BI tools on the market. Business users could even connect directly from Microsoft Excel to data warehouses through Lyftrondata. No need to install any ODBC drivers because SQL Server drivers are already preinstalled on Windows.

  • Windows active directory authentication for Modern Cloud Data Warehouse possible from any BI tool

    The Lyftrondata SQL proxy interface is compatible with Microsoft SQL Server and benefits from the heritage of the Windows ecosystem. Lyftrondata may be installed on a computer that is integrated with the customer’s Active Directory domain. Lyftrondata will accept connections from ODBC,JDBC and ADO.NET drivers using Active Directory SSO authentication and translate Windows credentials to effective roles to access cloud data warehouses. As a result, the customer does not need to manage user logins and passwords to enable access to a Cloud Data Warehouse for business users.

LET’S GET PERSONAL : See Lyftrondata on your data in a live Demo
Schedule a free, no-strings-attached demo to discover how Lyftrondata can radically simplify data lake ETL in your organization.

Lyftrondata library

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