Columnar storage and execution

Go beyond the limitations of data replication and democratize the data management. Add a Logical Data Warehouse across Vertica, the target Data Warehouse and any other data sources that may be combined with Vertica.

Load your data into Vertica instantly

Lyftrondata integrates your Vertica data into the platforms you trust, so you can make decisions that drive revenue and growth. Automatically feed your data into data warehouse or BI tool, review your store’s activity and analyze your store’s performance instantly.

Lyftrondata load data from Vertica to a target Data Warehouse. Lyftrondata expands analytical capabilities by enabling real-time access to Vertica and let you analyze instantly with leading BI & ML tools. All transformations are defined in standard SQL, which are pushed down to target data warehouse in their native sql for better performance.

Eliminate the complexity with Lyftrondata's data warehouse simplicity

Velocity
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Parallel Auto Data Warehouse
Speed
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Faster Results To Insights
Cost
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reduction in cost
Time
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Faster Migration
Density
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Faster business decisions
Simplicity
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Faster learning

Why to Choose Lyftrondata for Vertica

  • Data Extraction
  • API Normalization
  • Data Analysis
  • Data Replicate
  • Delta Lake
  • Data Sharing

Integrate your data with Lyftrondata instantly and blend with 150+ other sources

Data extraction with Lyftrondata is easy. Be up and moving in minutes. Without any help from developers, Lyftrondata enables you to choose your most valuable data and pulls it from all your connected data sources in just one click.

Business Analyst

"I feel more aligned with the agile process as now I can analyze any data without worrying about any technical know how. "

Empower your analytics with out of the box relational data model

Connect any API, Json, XML and automatically analyze it with ANSI SQL and load it to Vertica. Once the data is extracted, you could ingest it to Vertica or BI tool of your choice with zero coding required. Lyftrondata connectors automatically convert any source data into normalized structure of ANSI Sql and push down the data pipeline processing as an ELT to the native cloud data warehouse.

Data Analyst

"I have a better control on the data analysis process as now I can run rapid fast queries against the API’s which I never thought possible."

Built for the agile data culture for your data

Next, analyze massive volumes of this real-time data and get instant answers to your questions. Over 100 integrations empower you to use your favorite tools to map data, build and visualize custom reports and more.
Data Architect

" I am able to do the architecture and requirement gathering by simply writing ANSI Sql queries for the API sources which use to be the taboos for me."

Load your data into your warehouse or lake instantly

Transform your growth metrics by combining your data and your delta automatically. Joining tables, renaming metrics and mathematical calculations result in a deeper and more complex data structure than the raw data.
ETL Developer

" I am able to build my data pipeline in few clicks and load billions of records to my warehouse and also able to do cross platform joins on the API sources with ease."

Load your data into your warehouse or lake instantly

Visualize and explore your data metrics in beautifully designed dashboards or any BI tool such as Tableau, Looker, Google Data Studio, Excel, Google spreadsheet. Get insights across products, channels, customers, and more.
BI Analyst

" I have a better response from the BI reports and able to connect with API/Json/XML based sources in just fewer clicks. "

Data sharing is data caring

Define, categorize and find all data sets in one place. Share these data sets with other experts through APIs and drive better insights and user experience. This data sharing ability is perfect for companies who want to store their data once, share it with other experts and use it multiple times, now and in future.
Our Agile Team

" We are in full control of our data exchange process and easily able to share the data instantly and collaborate with teams with ease without worrying about writing complex API, FTP, Email for data sharing. "

Features‌

Codeless Development

Allows users to integrate all types of data without writing any code through a codeless development environment, increasing the developer’s productivity.

Performance and Effectiveness

Experience high-speed performance, as Lyftrondata architecture does not process the data row by row, like traditional ETL products, but performs set and bulk operations in a single go.

Unified Data Model

Stay on the top of your data by extracting meaningful information from Vertica Database Warehouse and blend it with other sources. Assess, optimize, launch and streamline real-time data collection from multiple streams and drive instant actionable insights.

Comprehensive Analytics

Access advanced reports for better insights on your Vertica Database Warehouse data. Get insights across products, channels, customer lifetime value, and more .

Secured Access

All your data, all your insights and all your security that you never thought possible at a centralized place. Simply connect, transform and blend and get faster analytics. Maintain protected and resiliency against constant cyber threats through our secured Lyftrondata architecture.

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Architecture

  • Source

    There is nothing easier than connecting your data from different sources to one source and avoid complicated tasks of preparing data and setting up complex ETL processes. The outermost layer ensures a hassle-free process of connecting with source connectors like S3, Blob, Salesforce, Marketo, Shopify, Oracle, and more.

  • Warehouse

    The Logical Data Warehouse layer of Lyftrondata provides parallel access to both Data Warehouses and all data sources in one place. This supports petabytes of storage and more optimized techniques to run complex analytic queries.

  • Storage

    This layer is responsible for storing the data securely and effectively. It delivers the most updated data sets and empowers users to combine it with their existing data for deepest insights.

  • Compute

    This functions for optimized process and better load performance with push down on inbuilt Spark, AWS EMR, Azure HD Insights, Databricks, Snowflake, and more. It is meant to process voluminous data effectively and efficiently at lightning speed.

  • Metadata

    Under the covers of the security layer, Lyftrondata possesses metadata which works to improve the overall performance capacity. This layer takes care of scheduler, alerts, workflow, data catalog, logs, monitoring, execution plan and more

  • Security

    Considered as the heart of Lyftrondata, this layer handles one of the most crucial functions of enforcing security and encrypts key management. This functions for encryption, tagging, masking, access rights, and role management.

  • Visualize

    This innermost layer allows to analyze, visualize, and explore the massive volume of data from disparate data sources, empowering users to drive real-time insights for business decisions.

Usecases

How to get started with Lyftrondata Team?

  • Step 1: Assessment & Advisory

    Start a short Vertica PoC to find out which workloads would benefit from migration. Our Advisory services enable smooth transition.

  • Step 2: Data Migration & Replication Consultation

    Consult with our experts on how to liberate your data from legacy databases with our trusted cloud migration solution to Vertica. We help you migrate from Netezza, Teradata, Redshift etc.

  • Step 3: Modern Data Architecture Support

    Get an endless support from our expert and modernize data pipelines for real-time data synchronization, using Data Vault 2.0, CDC, ELT to power your next generation Data Lake.

  • Step 4: Data Governance & Data Quality

    Our solution and experts help accelerate data governance modernization and eliminate data silos that enable true reporting and proper data traceability.

  • Step 5: Analytics Acceleration

    Our solution empowers you to adapt new Vertica trends which accelerate time to reporting and business application go-to market.

  • Step 6: Round-the-clock Training & Support

    Have your staff trained in the new tools and architecture of modern data warehouse which enables swift transition to your team.

FAQ

Lyftrondata supports Lyft, Shift and Phase migration approach which enables enterprises to migrate from legacy platforms to Vertica with ease and allows point existing database connection to Lyftrondata. Thereby, Lyftron acts as an intermediate layer until the migration is fully complete.

Lyftron Data Pipeline manages connections to data sources and load data to Vertica . All transformations are defined in standard SQL and pushed down to data sources and Vertica.

Lyftron connectors automatically convert any source into normalized, ready-to-query relational format and provide search capability on your enterprise data catalog.

Avoid needless delay in data preparation. Define virtual data sets on source data. Verify and load to Vertica when required. Lyftrondata shortens data preparation activities by letting data teams create logical data sets first, evaluate the data and delay the data loading until the data sets are verified or data loading is required.

No drivers or new skills are needed to run queries on any data. Fully simulated Transact-SQL interface (wire compatible with SQL Server) enables bridged queries to Vertica.

Lyftrondata takes a unique approach to load data into Vertica by utilizing the new data streaming API available in Vertica. Data is loaded from the data source, data transformations are applied on the fly as SQL expressions and the transformed data is streamed directly to Vertica. The data is loaded without any delays and without the need to manage any space for temporary files.

Additionally, Lyftrondata may push down selected SQL transformation directly to data sources to reduce the amount of data that must be transferred

Not at all! Lyftrondata pre built connectors automatically convert JSON, XML, API to normalized structure and provides ready-to-query schemas and full search on data catalog.

Analyze any data size in more than 35 visualization tools! The agile-data delivery model could process trillions of rows, tables and delivers
unmatched BI performance and limitless scalability for Vertica users. Run real-time SQL queries on any data source. Create data sets and
share them between teams and analytics tools.

The whole process right from the integration to produce actionable insights, happens in less than 4 minutes- promising a time optimization
by 75%.

Lyftrondata enables enterprise-level security with a built-in security model and support for standard security frameworks and protocols. Its embedded security system allows data masking, field-level restrictions and architecture that automatically scales up and down.

Yes, Offcourse!

 With Lyftrondata modern data pipeline, you could have access to all your data points, make analysis simple for all stakeholders, and gain a holistic view of your Vertica data without any technical limitations.

Through a governed embeddable data discovery model, users could search, tag, alias, and enrich your data with ease. The powerful agile-based platform enables enterprises to transforms messy and unstructured data to facilitate and enhance their analysis.

Lyftrondata modern data hub offers logical data warehouse where data is stored once and utilize the memory compute for transformation, loading and standardization.

Data virtualization offer store users a single interface — often based on SQL — to access data in multiple places or formats.

Lyftrondata integrates data virtualization, manages the unified data for centralized security, and delivers real-time data for best class performance. 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 Vertica users to integrate data on the fly.

Lyftrondata supports all the high performing big data warehouse like Hadoop, Spark, EMR, Azure, HDInsights, Databricks, etc and next-gen cloud data warehouse like Redshift, Google Big Query and Azure SQL DW.

Lyftrondata supports Lyft, Shift and Phase migration approach which enables users to rapidly modernize applications, migrate the right workloads, and securely manage their hybrid environment.

Please write to us at [email protected] for details related to pricing.

No, Lyftrondata will help you create Data Pipeline automatically and let you analyze the data instantly with ANSI SQL and BI tools.

No, Lyftrondata will help you connect with your API and normalize your API JSON output automatically so you can focus on your business and Lyftrondata will take care of the data pipeline.

Lyftrondata is providing out of the box data warehouse star schema design, and BI dashboard for the consumers. So, you can just use our Vertica express solution to build your new analytics platform in no time.

Yes, Lyftrondata will provide pre-built pipelines for Stage as well as Data Warehouse.

Lyftrondata will provide you with automatic data lineage and tag based search which will populate our data catalog engine. So, anybody like business users, data analysts or engineers can search all their objects with ease.

No, Lyftrondata allows JSON parsing function so, you can directly use simple select syntax and have your JSON data extracted quickly as shown on this query here

select JSON_PATH(LineAggregate, ‘$.[0].id’) ,JSON_PATH(LineAggregate,
‘$.[0].variant_id’),
LineAggregate from
(select top 1 * from [Vertica].[Vertica].[Orders]) as orders

Lyftrondata will help you automatically create the schema, will do auto merging, auto sync for your files and auto ingest into your target data warehouse automatically. There’s no need of any manual looping process, Lyftrondata will read the files from subdirectories automatically.

Lyftrondata has robust column level security which will help you choose the access based on roles and user and only the users you choose will get the access on pipeline, database, table or column.

No, you are fully covered with Lyftrondata auto sync feature which help you choose delta field, select the frequency and Lyftrondata will take care of the rest.

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