RudderStack Features

The ability to process large amounts of data.

The ability to process data from a wide variety of sources and formats.

The ability to work seamlessly with another software platform.

Processing data from a variety of sources in real time as it arrives.

Tools to visualize and analyze data.

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Organize extracted data into a more easily digestible structure.

Amass extracted data in a variety of data formats like spreadsheets and .csv.

Clean extracted data by removing duplicates, clearing excess characters, grouping by characteristic, and more.

Stores data in cloud storage for access at any point.

Generate visual data representations from extracted data.

Ensures live debugging to alert if any failure during data sync.

Based on 10 RudderStack reviews. Supports the creation of automated workflows and data pipelines.

Supports notifications in messaging applications such as Slack, and even in workflows.

As reported in 11 RudderStack reviews. Provides several pre-built connectors and API integrations to build data workflows.

As reported in 10 RudderStack reviews. Programmatic trigger of syncs via public APIs

Native support for incremental syncing This feature was mentioned in 11 RudderStack reviews.

Move sync logs back into warehouse for auditing

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

Analyzes data to find and recommend the highest value customer segmentations.

Tools to create and adjust workflows to ensure consistency.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Provides guidelines or training related to sensitive data compliance requirements,

Allows administrators to set policies for security and data governance

Monitors data quality and send alerts based on violations or misuse

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Facilitates the disseminating of collected big data throughout parallel computing clusters

Compile data from across all systems so that users can view relevant information easily.

Uses external data sources to improve customer profiles. This feature was mentioned in 15 RudderStack reviews.

Can be updated to accept new sources and types of data. 15 reviewers of RudderStack have provided feedback on this feature.

As reported in 14 RudderStack reviews. Can act as a content marketing platform.

As reported in 14 RudderStack reviews. Can engage with customers across any device with a consistent message.

Based on 12 RudderStack reviews. Provides analysis of marketing program ROI and efficiency.

Predicts outcomes based on statistical models; can give insight to "what-if" scenarios. 10 reviewers of RudderStack have provided feedback on this feature.

Uses artificial intelligence to provide suggestions based on desired outcomes. 10 reviewers of RudderStack have provided feedback on this feature.

Supports event or transaction based integrations that react to changes in real-time

Provides a web-based interface for designing, documenting, and testing APIs.

Facilitiates API development and integrations with prebuilt connectors, templates, and examples.

Provides the ability to create connectors from existing services and APIs in catalog.

Provides prebuilt, reusable connectors and workflows for all user integration requirements.

Facilitiates API development and integrations with prebuilt connectors, templates, and examples.

Provides the ability to create connectors from existing services and APIs in catalog.

Console for monitoring resource utilization, system health, ability to start and stop processes, etc.

Enables data routing on configuration basis and management of complex workflows through an orchestration engine.

Facilitates to and fro data map according to the data model between applications/web services.

Provides standard tools and functions to convert data values from the data format of a source system into the data format of a destination system.

Supports and oversees the management of API products across their full lifecycle

Provides dashboards to gain real-time insights into API performance, usage, and errors.

Facilitates to and fro data map according to the data model between applications/web services.

Employs data encryption both at rest and in transit.

Comply to key industry standards like SOC 2, ISO 27001, PCI DSS, HIPAA etc to protect and safeguard data.

Supports secure communication protocols like FTPS, SFTP etc

Authenticates and authorizes individuals to access the data they are allowed to see and use.

Helps identify and manage the roles of owners and stewards of data.

Helps adhere to data privacy regulations and norms.

Supports industry standards (GDPR, CCPA etc) before, during, and after the reverse ETL process.

Ensures data encryption across multiple levels of the reverse ETL process.

Provides integration to BigData sources such as Hadoop and other NoSQL sources (MongoDB, Cassandra and HBase)

Provides integrations to ERP Systems.

Provides integrations to accounting Systems.

Provides integrations to customer relationship management and marketing automation systems.

Provides integrations to EDI service providers.

Lets users build a glossary of business terms, vocabulary and definitions across multiple tools.

Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources.

Monitors and cleanses data with the help of business rules and analytical algorithms.

Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console.

Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination.

Defines, validates, and monitors business rules to safeguard master data readiness.

Allows users to create and review data policies to make them consistent across the organization.

Supports deployment of integration apps both on-premisis and cloud environments/

Supports deployment of integration apps to a managed cloud environment

As reported in 10 RudderStack reviews. Supports the creation of SQL models to query any data warehouse.

As reported in 10 RudderStack reviews. Detailed logging for auditing needs.

Based on 10 RudderStack reviews. Real-time visibility into the reverse ETL process.

Configures data mapping from data warehouse to target tools. 10 reviewers of RudderStack have provided feedback on this feature.

Based on 10 RudderStack reviews. View the reverse ETL data via reports and charts through data viz and sync progress.

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Makes informed choices based on available data and objectives