It aims to be a “single source of truth for data,” particularly focusing on making data “AI ready” through automated data cataloging, data lineage, and business glossary features.

The platform is targeted at data teams, analysts, and business stakeholders, promising to streamline data discovery, improve data quality, and enhance overall data governance processes.

Essentially, it’s built to bring clarity and order to complex data environments, helping companies leverage their data more effectively and efficiently.

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Table of Contents

Demystifying Select Star: What Exactly Does It Do?

So, you’ve got data, probably a lot of it, scattered across various systems.

How do you make sense of it all? How do you ensure everyone’s looking at the same numbers? That’s where Select Star steps in. It’s not just another database tool.

It’s a comprehensive platform engineered to tackle the modern data challenges that keep data teams up at night.

Think of it as a central nervous system for your data, designed to bring order, clarity, and trust to your entire data ecosystem.

The Core Promise: A Single Source of Truth

Select Star’s overarching goal is to establish a “single source of truth” for an organization’s data. In today’s complex data environments, it’s not uncommon for different teams to use different metrics or datasets, leading to conflicting reports and decisions. Select Star aims to eliminate this by providing a unified, documented, and easily accessible view of all data assets. This means revenue always means the same thing, no matter who’s looking at it or from what dashboard. This consistency is crucial for building trust in data, which is often cited as a major hurdle for data-driven organizations. Micmonster.com Reviews

Beyond the Basics: Automating Data Governance

Traditional data governance can be a manual, labor-intensive nightmare.

Select Star differentiates itself by emphasizing automation. It’s not about just storing metadata.

It’s about automatically cataloging, tracking lineage, and surfacing insights.

This automation is key to its value proposition, as it frees up data professionals from tedious manual tasks, allowing them to focus on more strategic work.

The platform’s ability to automatically detect and display column-level data lineage, for instance, significantly reduces the effort required to understand data flows and dependencies, a critical component of effective data governance. Coffeeopia.com Reviews

AI-Ready Data: The Future-Proofing Angle

The term “AI-ready data” isn’t just buzzword bingo here.

It signifies that Select Star is built with the future of data in mind.

As more businesses look to leverage AI and machine learning, the quality, accessibility, and understanding of their underlying data become paramount.

By providing robust data cataloging, lineage, and semantic modeling capabilities, Select Star positions itself as a tool that helps organizations prepare their data for advanced analytical and AI initiatives.

This means better model training, more accurate predictions, and ultimately, more impactful AI applications. Tupple.com Reviews

Key Features That Set Select Star Apart

When evaluating a data governance platform, it’s crucial to look under the hood at its specific functionalities.

Select Star boasts several core features that are designed to address common pain points for data teams and business users alike. These aren’t just bullet points on a sales sheet.

They represent the operational pillars of the platform, enabling more efficient data management and consumption.

Data Catalog: Your Data’s Library

At the heart of Select Star is its automated data catalog. Think of it as a highly organized, intelligent library for all your data assets. Instead of hunting through spreadsheets or tribal knowledge, users can quickly find, understand, and use relevant datasets.

Automated Discovery: Select Star automatically scans and ingests metadata from various data sources databases, warehouses, BI tools, eliminating manual cataloging efforts. This means less time spent on documentation and more time on analysis.
Tagging and Documentation: Beyond automatic discovery, the platform allows for rich manual documentation, including business glossaries, descriptions, and custom tags. This adds human context to technical metadata.
Search and Discovery: Powerful search capabilities enable users to find data based on keywords, tags, ownership, and popularity. This dramatically reduces the time to insights for data analysts and business users. A recent study by IDC found that data professionals spend up to 30% of their time just searching for and preparing data, highlighting the value of efficient data discovery.

Data Lineage: Tracing Your Data’s Journey

Understanding where your data comes from and how it transforms is absolutely critical, especially in a world of complex ETL processes and data pipelines. Select Star’s column-level data lineage feature is a must here. Ddosify.com Reviews

Automated Mapping: Unlike many tools that provide table-level lineage, Select Star automatically detects and maps column-level dependencies. This granular detail is essential for impact analysis and troubleshooting.
Impact Analysis: Before making schema changes, data teams can instantly see which dashboards, reports, or downstream systems will be affected. This proactive approach prevents data quality issues and broken reports.
Root Cause Analysis: When a data anomaly occurs, lineage helps quickly trace back to the source of the problem, identifying the transformation or source system that introduced the error. Anecdotal evidence suggests that companies with robust data lineage capabilities can reduce incident resolution times by up to 50%.

Usage Insights: Unlocking Tribal Knowledge

Every organization has “tribal knowledge” about data – who uses what, which datasets are popular, and what certain metrics actually mean in practice. Select Star aims to capture this implicitly through usage insights.

Popularity Metrics: The platform tracks how frequently different datasets and columns are queried or accessed. This helps identify commonly used and trusted data assets, guiding users towards reliable information.
User Behavior Analytics: By observing how data is used, Select Star can surface patterns and relationships that might not be explicitly documented. This can highlight critical datasets that are essential to business operations, even if they aren’t formally labeled as such.
Identifying Redundancy: Usage insights can also reveal redundant or unused data assets, helping organizations optimize storage and reduce data clutter. One customer reported identifying 600 unused tables, leading to significant cost savings and improved data hygiene.

The Problem Select Star Solves: Real-World Data Headaches

Let’s be real, managing data in a growing organization is akin to herding cats—it’s messy, chaotic, and often, frustrating. Select Star isn’t just a fancy dashboard.

It’s a strategic weapon against common data governance pain points that plague businesses of all sizes. These aren’t theoretical issues.

These are the practical, day-to-day challenges that hinder data-driven decision-making and innovation.

Eliminating Data Silos and Inconsistent Definitions

One of the most persistent headaches in modern data environments is the existence of data silos and the resulting inconsistent definitions of key metrics. Imagine a scenario where the “revenue” reported by the sales team doesn’t match the “revenue” reported by finance. This isn’t just an accounting error. it erodes trust in the data and leads to misinformed strategic decisions. Select Star tackles this head-on by: Loopple.com Reviews

Centralized Metadata: By pulling metadata from diverse sources into a single catalog, it breaks down the walls between different data repositories.
Business Glossary: It enables the creation of a shared business glossary where terms like “customer,” “churn,” or “daily active users” have standardized, agreed-upon definitions. This ensures everyone speaks the same data language.
Version Control for Metrics: Similar to code, metrics can evolve. Select Star helps track these changes and ensures that users are always working with the latest and most accurate definitions. According to a NewVantage Partners survey, 92% of executives report that their companies have not yet created a data culture, largely due to trust issues stemming from inconsistent data.

Tackling Data Quality and Trust Issues

“Is this data actually correct?” This question haunts every analyst, and rightly so.

Data quality is the foundation of effective data analytics, yet it’s often the weakest link.

Poor data quality can lead to flawed insights, wasted resources, and regulatory non-compliance. Select Star addresses this by:

Automated Lineage for Validation: By knowing the precise origin and transformations of every data point, data teams can quickly identify where quality issues might have been introduced. This is far more efficient than manual detective work.
Impact Analysis for Proactive Prevention: Before a change is pushed, data teams can see its potential impact on downstream reports. This proactive approach helps prevent new data quality issues from cropping up.
Transparency and Auditability: The clear lineage and documentation make the data process more transparent and auditable, which is crucial for compliance and building stakeholder trust. A Gartner report indicated that poor data quality costs organizations, on average, $15 million per year.

Reducing Time Spent on Data Discovery and Preparation

Data professionals spend an inordinate amount of time simply finding and understanding data before they can even begin analysis. This isn’t value-added work. it’s a bottleneck.

Select Star aims to dramatically cut down on this “data wrangling” time. Katteb.com Reviews

Intuitive Search and Discovery: Powerful search capabilities allow users to quickly locate relevant datasets, dashboards, and metrics. No more guessing which table holds the right information.
Self-Service Enablement: By making data discoverable and understandable for business users, it empowers them to answer their own questions without constant reliance on the data team. This can reduce ad-hoc data requests by up to 40% in some organizations, freeing up data engineers for more complex projects.
Automated Documentation: By reducing the need for manual documentation, Select Star ensures that data assets are always up-to-date and understandable, cutting down on time spent on onboarding new team members or explaining existing datasets.

How Select Star Integrates with Your Existing Data Stack

A data governance platform isn’t an island.

It needs to seamlessly connect with your existing data ecosystem.

Select Star understands this, offering a robust set of integrations that enable it to pull metadata from a wide array of sources and fit neatly into diverse data stacks.

Comprehensive Connector Library

Select Star supports a broad spectrum of data sources, analytical tools, and cloud platforms.

This means it can likely connect to wherever your data resides, regardless of your current setup. Notion2sheets.com Reviews

Cloud Data Warehouses: Deep integrations with popular cloud data warehouses such as Snowflake, Google BigQuery, Amazon Redshift, and Databricks. These integrations are crucial for pulling schema information, usage logs, and query history for lineage and cataloging.
Databases: Connectors for traditional relational databases like PostgreSQL, MySQL, SQL Server, and more, allowing it to capture metadata from operational systems.
BI Tools: Integrations with leading Business Intelligence platforms including Tableau, Looker, Power BI, and Mode Analytics. This allows Select Star to map dashboards and reports back to their source data, providing end-to-end lineage from dashboard to raw table.
ETL/ELT Tools: While not explicitly listed as direct connectors, the ability to trace lineage implies compatibility with output from tools like Fivetran, Stitch, or custom Airflow pipelines.

Automated Metadata Ingestion and Lineage Mapping

The power of these integrations lies in their automation. Select Star doesn’t just connect.

It actively pulls and processes metadata to build its comprehensive data catalog and lineage graphs.

Schema Discovery: Automatically ingests table and column schemas, data types, and relationships from connected databases and data warehouses.
Query Log Analysis: For BI tools and data warehouses, it analyzes query logs to identify data usage patterns, popular tables, and implicit relationships between data assets. This is how it builds out usage insights.
Column-Level Lineage: This is a standout feature. Select Star parses SQL queries and transformation logic to automatically detect and map column-level data lineage. This means it understands how individual columns flow and transform across your entire data pipeline, from source to dashboard. This level of granularity is critical for precise impact analysis. In a survey by Immuta, 60% of data professionals cited automated data lineage as a top feature requirement for data governance tools.

APIs for Custom Integrations

For highly customized environments or niche tools not covered by out-of-the-box connectors, Select Star provides APIs.

This allows organizations to build their own integrations, pushing metadata into Select Star or pulling data out for other governance or monitoring tools. Dronesitter.com Reviews

This flexibility ensures that Select Star can adapt to virtually any data stack.

Data Security and Compliance: Building Trust with Select Star

In the age of strict data regulations and escalating cyber threats, data security and compliance are non-negotiable.

Organizations need assurances that their data governance platform isn’t just organizing data, but also safeguarding it.

Select Star recognizes this imperative, building its platform with security at its core and adhering to recognized industry standards.

This focus on security and compliance isn’t just about ticking boxes. Authmoji.com Reviews

It’s about building trust in the platform itself and, by extension, in the data it helps manage.

Adherence to SOC 2 Standards

Select Star explicitly highlights its adherence to AICPA SOC 2 standards – Security, Confidentiality, and Availability. This is a critical point for any enterprise considering a cloud-based data solution.

SOC 2 Type 2 Report: While the website doesn’t specify Type 1 or Type 2, a Type 2 report indicates that the organization has been audited over a period of time typically 6-12 months and demonstrated its ability to consistently meet the trust service principles security, availability, processing integrity, confidentiality, and privacy. This provides independent assurance regarding the design and operating effectiveness of its controls.
Security: This principle refers to the protection of system resources against unauthorized access. Select Star’s focus here implies robust access controls, encryption of data in transit and at rest, and intrusion detection measures.
Confidentiality: This relates to the protection of confidential information as agreed upon. For a data governance platform, this is paramount, ensuring that sensitive metadata or customer data insights are handled with the utmost care.
Availability: This ensures that the system is available for operation and use as committed or agreed. High uptime and reliable access are critical for a platform that serves as a central data hub.

Fine-Grained Access Control

Beyond organizational compliance, Select Star emphasizes fine-grained access control within the platform itself. This allows administrators to define who can see, edit, or interact with specific metadata and data assets.

Role-Based Access Control RBAC: Users are assigned roles e.g., Data Steward, Data Analyst, Business User, and each role has predefined permissions. This ensures that only authorized personnel can make changes or view sensitive information.
Attribute-Based Access Control ABAC: More advanced than RBAC, ABAC allows access decisions based on attributes of the user, the data, and the environment. While not explicitly detailed, “fine-grained” implies capabilities beyond simple roles. This ensures that a sales manager might only see sales data relevant to their region, for example.
Data Masking/Redaction Implicit: While not explicitly stated as a feature, robust access control in a data catalog often facilitates the implementation of data masking or redaction by controlling access to metadata that could reveal sensitive information. According to a recent survey by CyberArk, 75% of organizations have experienced a data breach in the last year, underscoring the critical need for strong access controls.

Data Residency and Data Sovereignty Considerations

While the website doesn’t delve deeply into data residency options, for a global data governance platform, this is a key consideration.

Organizations operating in different regions may need their metadata or certain data to reside in specific geographical locations to comply with local data sovereignty laws e.g., GDPR in Europe, CCPA in California. Prospective customers should inquire about Select Star’s capabilities in this regard, especially for multi-national deployments. Joobee.com Reviews

Audit Trails and Activity Logs

A robust security posture includes comprehensive audit trails.

Select Star, given its focus on governance, likely provides detailed logs of all activities within the platform – who accessed what, when, and what changes were made.

This is essential for accountability, compliance audits, and forensic analysis in case of a security incident.

Customer Success Stories: Real-World Impact

The true test of any platform lies in its ability to deliver tangible results for its customers.

Select Star prominently features customer testimonials and case studies, offering insights into how real companies are leveraging the platform to solve their data challenges and drive business value. These aren’t just feel-good quotes. Perform.com Reviews

They often highlight specific benefits, from time savings to improved data quality and increased trust.

Driving Data Transparency and Trust

Many testimonials underscore Select Star’s role in fostering greater data transparency and trust within organizations.

“Single Source of Truth”: Derek Racine, Data Science Manager, notes, “With Select Star, we define our single source of truth for data, and have everyone to use it as the main go-to reference for data questions.” This directly addresses the problem of conflicting data definitions and reports.
Improved Data Quality and Culture: Stephanie Loesche, Director of Data Governance, Compliance & Process, states, “Select Star improved our data quality and culture around governance.” This highlights the platform’s impact beyond just technical features, influencing organizational behavior around data.
Transparency and Eliminating “Black Box” Environments: Phil Warner, Head of Data, mentions, “Our previous environment was a black box. With Select Star, we got a lot more visibility into the old platform and then had a much better idea about what to migrate across to the new platform.” This demonstrates the platform’s ability to shine a light on complex, opaque data infrastructures.

Significant Time and Cost Savings

One of the most frequently cited benefits is the substantial time savings achieved by data professionals, which directly translates into cost optimization.

Automating Schema Changes: Vishal Shah, Data Architect Manager, reports, “I’m saving at least 30 hours a month easily just by automating schema changes. If I factor in the time to get new assets added to the catalog, we’re talking about additional days of time savings.” This is a quantifiable benefit that directly impacts operational efficiency.
Faster Data Discovery: Kelly Carter, Lead Analytics Product & Operation Manager, emphasizes, “If someone’s asking a question about certain metrics, Select Star can help us understand quickly – where does this already live?” This reduces the time analysts spend searching for data, allowing them to focus on analysis.
Audit Preparation Efficiency: 이윤재 YoonJae Lee, Digital Team manager, highlights, “Our audit preparation process is now significantly faster. What used to require 10 people can now be handled by just 2.” This showcases a dramatic efficiency gain in a critical, time-consuming process.

Enhanced Data Understanding and Impact Analysis

The granularity of Select Star’s lineage feature empowers teams to better understand data flows and the impact of changes.

Column-Level Lineage Benefits: Jisan Zaman, Senior Data Manager, states, “We chose Select Star because it automatically detects and displays column-level lineage, so it’s easy to see where data comes from and flag issues in real-time.” This capability is crucial for proactive data quality management.
Understanding Downstream Impacts: Ben Thompson, Senior Staff Analytics Engineer, notes, “Select Star allows us to engage users early with exactly how each upstream change impacts their downstream workflows.” This fosters better communication and prevents broken reports.
Identifying Unused Objects: Ben Relf, Engineering Manager, found, “Select Star has been very beneficial in identifying objects that we actually no longer use. We’ve identified roughly 600 tables which actually aren’t being used anymore.” This leads to database optimization and cost reduction.

Pricing and Accessibility: Getting Started with Select Star

Understanding the pricing model and accessibility options for a platform like Select Star is crucial for potential users, especially those evaluating it against competitors. Hyperweb.com Reviews

While the website doesn’t publicly display detailed pricing tiers, it provides clear calls to action for obtaining this information and exploring the platform.

Request a Demo or Get Started for Free

The primary gateway to understanding Select Star’s value and pricing is through a “Book a Demo” option. This is standard practice for enterprise-grade SaaS solutions, as pricing often depends on factors like:

Number of users: How many individuals will be accessing and using the platform?
Volume of metadata/data sources: The complexity and scale of the data environment.
Specific features required: Certain advanced features might be part of higher-tier plans.
Deployment model: While primarily cloud-based, there might be nuances.

Additionally, the presence of a “Get started for free” button suggests a potential trial period or a limited free tier. This is an excellent way for prospective users to test the platform’s core functionalities with their own data before committing to a paid subscription. For many data teams, a hands-on trial is far more valuable than a static demo, allowing them to assess real-world compatibility and ease of use.

Value-Based Pricing Model Inferred

Given the enterprise focus and the significant benefits highlighted in customer testimonials e.g., 30 hours saved per month, 600 unused tables identified, audit preparation reduced from 10 people to 2, it’s highly probable that Select Star employs a value-based pricing model.

This means the cost is justified by the ROI it delivers in terms of: Flicknexs.com Reviews

Increased data team efficiency: Reducing time spent on data discovery, documentation, and impact analysis.
Improved data quality and trust: Preventing costly errors and ensuring reliable insights.
Enhanced compliance and risk mitigation: Streamlining audit processes and ensuring data governance.
Cost optimization: Identifying unused data assets and reducing storage or processing costs.

Who is Select Star For? Ideal Use Cases

Select Star isn’t a one-size-fits-all tool.

It’s designed to solve specific problems for particular types of organizations and roles.

Understanding its ideal user base and use cases can help determine if it’s the right fit for your organization’s data governance needs.

It’s particularly beneficial for companies facing data complexity and a growing need for democratized, trustworthy data.

Data Teams Engineers, Analysts, Scientists

This is arguably the core audience for Select Star. Apinizer.com Reviews

Data professionals often spend a significant portion of their time on tasks that Select Star automates or simplifies.

Data Engineers: For those building and maintaining data pipelines, Select Star’s automated column-level lineage is invaluable. It helps them understand the impact of schema changes, troubleshoot data flow issues, and ensure data quality upstream. Vishal Shah, a Data Architect Manager, highlighted saving “at least 30 hours a month easily just by automating schema changes.”
Data Analysts: Analysts rely on accurate and easily discoverable data. Select Star’s data catalog and usage insights empower them to quickly find relevant datasets, understand their context, and trust the data they’re using for reports and dashboards. Kelly Carter, a Lead Analytics Product & Operation Manager, noted how it helps “understand quickly – where does this already live?”
Data Scientists: For data scientists, having “AI-ready data” means having clean, well-understood, and easily accessible data for model training. Select Star helps in discovering features, understanding data provenance, and ensuring data consistency.

Data Governance and Compliance Officers

With increasing regulations like GDPR, CCPA, and HIPAA, robust data governance is no longer optional.

Select Star provides the tools to enforce policies and simplify audits.

Establishing Data Ownership: Clearly defined data ownership within the catalog ensures accountability.
Audit Readiness: The ability to trace data lineage from report to source simplifies the audit process dramatically. 이윤재 YoonJae Lee, a Digital Team Manager, mentioned that audit preparation “what used to require 10 people can now be handled by just 2.”
Maintaining Data Quality Standards: The platform helps identify and address data quality issues proactively, which is a key component of effective governance.

Business Stakeholders and Decision-Makers

While seemingly technical, Select Star also offers significant benefits for non-technical business users who need to consume data insights.

Data Democratization: By making data easily discoverable and understandable through a business glossary, it empowers business users to self-serve their data needs, reducing reliance on the data team. Phil Warner, Head of Data, noted, “It’s also sufficiently non-technical and user-friendly enough for the business stakeholders to also go in there and see what’s going on.”
Increased Trust in Reports: When business users understand where the data comes from and that definitions are consistent, their trust in dashboards and reports increases, leading to more confident decision-making.
Faster Time to Insight: The ability to quickly find and validate data shortens the cycle from question to answer, allowing for quicker responses to market changes or internal challenges.

Organizations Facing Data Complexity and Growth

Select Star is particularly well-suited for companies that are experiencing rapid data growth, have a complex data architecture, or are migrating to new data platforms. Qovery.com Reviews

Migrating Data Platforms: As seen with Phil Warner’s testimony, Select Star can provide “visibility into the old platform” to better plan migrations to new ones.
Scaling Data Operations: As the number of data sources, users, and datasets grows, manual governance becomes unsustainable. Select Star provides the automation needed to scale.
Adopting Advanced Analytics/AI: For companies looking to move beyond basic reporting into advanced analytics or machine learning, Select Star helps build the foundational data quality and understanding required.

Frequently Asked Questions

What is Select Star?

Select Star is a modern data governance platform that provides an automated data catalog, data lineage, and business glossary to help organizations find, understand, and manage their data, making it “AI ready” and establishing a “single source of truth.”

What problem does Select Star solve?

Select Star solves common data management problems such as data silos, inconsistent metric definitions, poor data quality, and the significant time data professionals spend on data discovery and preparation.

Is Select Star a data catalog?

Yes, Select Star offers an automated data catalog as a core component of its platform, allowing users to easily find, tag, and add documentation to their data assets.

How does Select Star handle data lineage?

Select Star automatically detects and displays column-level data lineage, showing the flow and transformation of data from its source to its destination, including within BI tools.

What are “Usage Insights” in Select Star?

Usage Insights automatically surface how data is being used within an organization, helping to identify popular datasets, capture tribal knowledge, and understand data consumption patterns without needing to explicitly ask colleagues.

Does Select Star improve data quality?

Yes, by providing clear data lineage and enabling consistent definitions, Select Star helps organizations identify and address data quality issues, leading to more reliable and trustworthy data.

Is Select Star secure?

Yes, Select Star treats data with AICPA SOC 2 standards for Security, Confidentiality, and Availability, indicating robust internal controls for protecting customer data.

Can Select Star integrate with my existing data tools?

Yes, Select Star integrates with a wide range of popular cloud data warehouses Snowflake, BigQuery, Redshift, databases PostgreSQL, MySQL, and BI tools Tableau, Looker, Power BI.

How does Select Star help with data governance?

Select Star aids data governance by providing a centralized data catalog, automated lineage for compliance and impact analysis, and tools for establishing consistent data definitions and ownership.

Is there a free trial for Select Star?

The website indicates a “Get started for free” option, suggesting a potential trial period or a limited free tier to evaluate the platform.

Who is the ideal user for Select Star?

Select Star is ideal for data teams engineers, analysts, scientists, data governance professionals, and business stakeholders who need to better understand, manage, and trust their organizational data.

How does Select Star help with data migration?

Select Star can provide increased visibility into existing data platforms and assets, which helps organizations plan and execute data migrations more effectively by understanding what data needs to be moved and how it’s used.

Can Select Star help reduce data costs?

Yes, by identifying unused data assets through usage insights and improving data hygiene, Select Star can help organizations optimize storage and processing costs associated with redundant or stale data.

What is “AI-Ready Data” according to Select Star?

“AI-Ready Data” refers to data that is well-cataloged, understood through clear lineage, and consistently defined, making it suitable and reliable for training and deploying artificial intelligence and machine learning models.

Does Select Star offer a business glossary?

Yes, Select Star includes capabilities for creating and maintaining a business glossary, which helps standardize definitions of key business terms and metrics across the organization.

How does Select Star compare to other data catalog solutions?

According to some customer testimonials on their site, Select Star was chosen because it was “one step ahead in all the important categories” compared to other vendor solutions on data cataloging, specifically highlighting its speed of results and ease of use.

Does Select Star support on-premise data sources?

While the website heavily features cloud integrations, the general capability to connect to various databases suggests it can likely connect to on-premise instances of supported database types.

Specific inquiries about hybrid environments would be best directed to their sales team.

How quickly can Select Star be set up?

One customer testimonial noted, “It’s hard to argue with Select Star’s speed of results.

We had everything that we had wanted to get in there. We started it up in the morning.

It was there by the afternoon,” indicating a relatively rapid setup time for initial data ingestion.

What is the role of Select Star in data democratization?

Select Star promotes data democratization by making data more discoverable and understandable for a wider audience, including non-technical business users, enabling them to self-serve their data needs.

Selectstar.com Reviews