| Starter | Standard | Premium | Enterprise | |
|---|---|---|---|---|
| Pricing |
New $ 32,500/Y $ 3,250/M |
New $ 40,000/Y $ 4,000/M |
New $ 72,000/Y $ 7,200/M |
New $ 150,000/Y $ 15,000/M |
| Data Sources | ||||
| Included data sources Additional data sources: $100/month each |
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| Instances | ||||
| Ingest Instances Additional Ingest Instance $500/M or $5000/Y |
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| Prepare Instances Additional Prepare Instance $500/M or $5000/Y |
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| Deliver Instances Additional Deliver Instance $50/M or $500/Y |
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| Sandbox Environments A sandbox is a separate end-to-end solution (1 of each instance type) available for up to 60 days. The one-time fee for Sandbox is $750 per sandbox. |
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Data Integration
Ingest. Prepare. Deliver.
Build a data infrastructure capable of ingesting, transforming, modeling, and delivering clean, reliable data.
Trusted by world-class brands
Holistic Data Integration with 3 modular components:
By leveraging metadata to unify each layer of the data stack and automate manual processes, TimeXtender empowers you to ingest, prepare, and deliver business-ready data 10x faster, while reducing your costs by 70%-80%. Our modular approach and cloud-based instances give you the freedom to build these components separately (a single data lake, for example), or all together as a complete and integrated data solution.
1.
Ingest Your Data
Consolidate raw data into one, centralized data lake.
2.
Prepare Your Data
Cleanse, validate, enrich, transform, and model the data.
3.
Deliver Your Data
Create data marts that deliver only the relevant subset of data.
The Ingest layer is where TimeXtender consolidates raw data from disconnected sources into one, centralized data lake or lakehouse. This raw data is often used in data science use cases, such as training machine learning models for advanced analytics.
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Easily Consolidate Data from Disconnected Sources: Ingest and combine raw data from potentially hundreds of sources into one centralized data lake with minimal effort.
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Universal Connectivity: TimeXtender provides a directory of over 250 pre-built, fully-managed data connectors, with additional support for any custom data source.
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Automate Ingestion Tasks: Define the scope (which tables) and frequency (the schedule) of data transfers for each of your data sources. By learning from past executions, the Ingest layer can then automatically set up and maintain object dependencies, optimize data loading, and orchestrate tasks.
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Accelerate Data Transfers with Incremental Load: TimeXtender provides the option to load only the data that is newly created or modified, instead of the entire dataset. Because less data is being loaded, you can significantly reduce processing times and accelerate ingestion, validation, and transformation tasks.
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No More Broken Pipelines: TimeXtender provides a more intelligent and automated approach to data pipeline management. Whenever a change in your data sources or systems is made, TimeXtender allows you to instantly propagate those changes across the entire pipeline with just a few clicks - no more manually debugging and fixing broken pipelines.
The Prepare layer is where you cleanse, validate, enrich, transform, and model the data into a "single version of truth" inside your data warehouse.
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Turn Raw Data Into a Single Version of Truth: Select raw data from the Ingest layer, cleanse, validate, and enrich that data, and then define and execute transformations. Once this data preparation process is complete, you can then map your clean, reliable data into dimensional models to create a "single version of truth" for your organization.
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Powerful Data Transformations with Minimal Coding: Whether you're simply changing a number from positive to negative, or performing complex calculations using many fields in a table, TimeXtender makes the data transformation process simple and easy. All transformations can be performed inside our low-code user interface, which eliminates the need to write complex code, minimizes the risk of errors, and drastically speeds up the transformation process. These transformations can be made even more powerful when combined with Conditions, Data Selection Rules, and custom code, if needed.
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A Modern Approach to Data Modeling: Our Prepare layer empowers you to build a highly structured and organized repository of reliable data to support business intelligence and analytics use cases. It starts with the traditional "star schema", but adds additional tables and fields that provide valuable insights to data consumers. Because of this, the Prepare layer is easier to understand and use, answers more questions, and is more capable of adapting to change.
The Deliver layer provides your entire organization with a simplified, consistent, and business-friendly view of all the data products available to your organization. This Semantic Layer maximizes data discovery and usability, ensures data quality, and aligns technical and non-technical teams around a common data language.
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Maximize Data Usability: The Prepare layer can be used to translate technical data jargon into familiar business terms like “product” or “revenue” to create a shared "semantic layer". This layer provides your entire organization with a simplified, consistent, and business-friendly view of all the data available, which maximizes data discovery and usability, ensures data quality, and aligns technical and non-technical teams around a common data language.
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Increase Agility with Data Marts: The Deliver layer allows you to create department or purpose-specific models of your data, often referred to as "data marts". These data marts provide only the most relevant data to each department or business unit, which means they no longer have to waste time sorting through all the reportable data in the data warehouse to find what they need.
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Deploy to Your Choice of Visualization Tools: Semantic models can be deployed to your choice of visualization tools (such as PowerBI, Tableau, or Qlik) for fast creation and flexible modification of dashboards and reports. Because semantic models are created inside TimeXtender, they will always provide consistent fields and figures, regardless of which visualization tool you use. This approach drastically improves data governance, quality, and consistency, ensuring all users are consuming a single version of truth.
Simplified, Subscription-Based Pricing
Our pricing structure offers tailored options to our customers. See more details here →
Price Yearly
Price Monthly
Frequently Asked Questions
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What is TimeXtender Data Integration?
TimeXtender Data Integration is our core product that consolidates raw data from various sources into a centralized data lake or lakehouse. It enables ingestion, preparation, and delivery of business-ready data rapidly and efficiently. With its intuitive drag-and-drop interface, users can easily perform data transformations and modeling without writing complex code. This low-code environment not only simplifies the creation of a unified data layer but also ensures faster data preparation and more consistent, accurate insights across the organization
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How does TimeXtender Data Integration accelerate data processes?
TimeXtender Data Integration accelerates data processes by using advanced AI and metadata to automate code generation, drastically reducing the need for manual coding. This automation enables complex workflows, such as data ingestion, transformation, and delivery, to be executed up to 10 times faster. By utilizing metadata as a blueprint for structuring and managing data pipelines, TimeXtender ensures consistency and accuracy throughout the entire data lifecycle.
TimeXtender’s low-code environment further simplifies data handling, allowing users to perform advanced operations through a visual interface, while the system automatically generates the underlying code. This approach not only speeds up the deployment of data workflows but also minimizes human errors and reducing operational costs by up to 70%-80%. Through this automation, TimeXtender allows organizations to achieve more efficient and reliable data processes.
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What cloud data platforms does TimeXtender Data Integration support?
TimeXtender’s technology-agnostic approach supports deployment to various storage platforms.
Supported platforms include:
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Microsoft Azure
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Microsoft Fabric
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Microsoft SQL Server
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Snowflake
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AWS
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Support for additional cloud platforms is coming soon.
We provide a seamless experience across all supported platforms.
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What data sources can TimeXtender Data Integration connect to?
TimeXtender Data Integration allows you to quickly connect to and ingest data from a comprehensive directory of pre-built, fully-managed data connectors, with support for any custom data source, offering flexibility to integrate with a wide variety of systems:
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SaaS Applications: TimeXtender supports connections to popular SaaS platforms like Salesforce, HubSpot, Google Analytics, and Facebook, enabling seamless integration of cloud-based application data.
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Files: You can ingest data from various file formats, including Delta Parquet, JSON, XML, CSV, and Excel, making it easy to integrate structured and unstructured data.
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APIs: It offers connections to REST APIs and OData, allowing you to fetch data from web services or custom APIs.
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Cloud or On-Premises Databases: TimeXtender has connectors for nearly any type of database on the planet such as Snowflake, SQL, Synapse, Amazon Redshift, Google BigQuery, Oracle, DB2, Access and more.
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ERP Systems: TimeXtender connects to major ERP systems, such as SAP, ensuring that complex business data can be ingested and used for analytics.
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Custom Data Sources: TimeXtender Data Integration also provides support for any custom data source, ensuring flexibility for unique or proprietary systems.
This broad range of connectivity makes TimeXtender Data Integration a powerful tool for unifying data across diverse sources, ensuring all your business data can be leveraged effectively.
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What business intelligence and visualization tools does TimeXtender Data Integration support?
TimeXtender provides robust support for delivering data to various business intelligence and visualization tools, including Qlik, Tableau, and Power BI. Additionally, users can deliver data in CSV format, ensuring flexibility and compatibility with different data consumption needs.
TimeXtender allows you to easily deploy semantic models to your choice of visualization tool for fast creation and flexible modification of dashboards and reports.
TimeXtender's semantic models provide consistent fields and figures, ensuring all users are consuming a single version of truth, regardless of which visualization tool they are using.
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How does TimeXtender Data Integration handle changes in data sources, such as schema or API changes?
Whenever a change in your data sources or systems is made, TimeXtender allows you to instantly propagate those changes across the entire data environment with just a few clicks—no more manually debugging or fixing broken pipelines.
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What is the Semantic Layer?
The Semantic Layer, also known as the Delivery layer, is a simplified, business-friendly layer that provides a consistent and easy-to-understand view of all the data within an organization. It acts as a bridge between complex technical data models and end-users, allowing non-technical teams to access, explore, and use data without needing deep technical knowledge.
By translating the technical aspects of data (like fact and dimension tables) into everyday business terms, the Semantic Layer ensures that all users, regardless of their technical expertise, can easily work with the data. This improves data discovery, usability, and alignment across teams, promoting a single version of truth that is consistent across the organization.
The Semantic Layer also enables the creation of purpose-specific data products, which deliver only the relevant data to each business unit, and can be integrated with your choice of visualization tools, such as Power BI, Tableau, or Qlik.
TimeXtender Empowers your whole Data Team
Data Users
Intuitive, low-code environment for data transformation and modeling
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Data Movers
Efficiently manage the exploding volume of data
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Data Leaders
Quick access to crucial insights, facilitating more agile and informed decision-making
Learn More →