Best Data Management Software for AWS Glue

Compare the Top Data Management Software that integrates with AWS Glue as of November 2024

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This a list of Data Management software that integrates with AWS Glue. Use the filters on the left to add additional filters for products that have integrations with AWS Glue. View the products that work with AWS Glue in the table below.

What is Data Management Software for AWS Glue?

Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security. Compare and read user reviews of the best Data Management software for AWS Glue currently available using the table below. This list is updated regularly.

1

Amazon RDS

Amazon

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. It frees you to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need. Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. You can use the AWS Database Migration Service to easily migrate or replicate your existing databases to Amazon RDS.

3 Ratings

Starting Price: $0.01 per month

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2

Amazon Aurora

Amazon

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones.

1 Rating

Starting Price: $0.02 per month

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3

Amazon Redshift

Amazon

More customers pick Amazon Redshift than any other cloud data warehouse. Redshift powers analytical workloads for Fortune 500 companies, startups, and everything in between. Companies like Lyft have grown with Redshift from startups to multi-billion dollar enterprises. No other data warehouse makes it as easy to gain new insights from all your data. With Redshift you can query petabytes of structured and semi-structured data across your data warehouse, operational database, and your data lake using standard SQL. Redshift lets you easily save the results of your queries back to your S3 data lake using open formats like Apache Parquet to further analyze from other analytics services like Amazon EMR, Amazon Athena, and Amazon SageMaker. Redshift is the world’s fastest cloud data warehouse and gets faster every year. For performance intensive workloads you can use the new RA3 instances to get up to 3x the performance of any cloud data warehouse.

Starting Price: $0.25 per hour

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4

Protegrity

Protegrity

Our platform allows businesses to use data—including its application in advanced analytics, machine learning, and AI—to do great things without worrying about putting customers, employees, or intellectual property at risk. The Protegrity Data Protection Platform doesn't just secure data—it simultaneously classifies and discovers data while protecting it. You can't protect what you don't know you have. Our platform first classifies data, allowing users to categorize the type of data that can mostly be in the public domain. With those classifications established, the platform then leverages machine learning algorithms to discover that type of data. Classification and discovery finds the data that needs to be protected. Whether encrypting, tokenizing, or applying privacy methods, the platform secures the data behind the many operational systems that drive the day-to-day functions of business, as well as the analytical systems behind decision-making.

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5

CData Connect

CData Software

CData Connect Your organization depends on real-time business and operational data to deliver actionable insights and drive growth. CData Connect is the missing link in your data value chain. CData Connect enables direct connectivity from any application that supports standard database connectivity, including popular cloud BI and ETL applications, such as: - Amazon Glue - Amazon QuickSight - Domo - Google Apps Script - Google Cloud Data Flow - Google Cloud Data Studio - Looker - Microsoft Power Apps - Microsoft Power Query - MicroStrategy Cloud - Qlik Sense Cloud - SAP Analytics Cloud - SAS Cloud - SAS Viya - Tableau Online ... and many more! CData Connect acts like a data gateway, translating SQL, and securely proxying API requests.

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6

Select Star

Select Star

Set up your automated data catalog in just 15 minutes, and receive column-level lineage, Entity Relationship (ER) diagram, and auto-populated documentation within 24 hours. Easily find, tag, and add documentation to your data so everyone can find the right dataset for their use case. Select Star automatically detects and displays your column-level data lineage. You can now trust the data, knowing where it came from. Select Star automatically surfaces how your company uses data. That means you can identify relevant data fields without needing to ask someone else. Select Star treats your data with AICPA SOC 2 Security, Confidentiality, and Availability standards, making sure your data is always safe and sound.

Starting Price: $270 per month

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7

Secoda

Secoda

With Secoda AI on top of your metadata, you can now get contextual search results from across your tables, columns, dashboards, metrics, and queries. Secoda AI can also help you generate documentation and queries from your metadata, saving your team hundreds of hours of mundane work and redundant data requests. Easily search across all columns, tables, dashboards, events, and metrics. AI-powered search lets you ask any question to your data and get a contextual answer, fast. Get answers to questions. Integrate data discovery into your workflow without disrupting it with our API. Perform bulk updates, tag PII data, manage tech debt, build custom integrations, identify the least used resources, and more. Eliminate manual error and have total trust in your knowledge repository.

Starting Price: $50 per user per month

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8

Privacera

Privacera

At the intersection of data governance, privacy, and security, Privacera’s unified data access governance platform maximizes the value of data by providing secure data access control and governance across hybrid- and multi-cloud environments. The hybrid platform centralizes access and natively enforces policies across multiple cloud services—AWS, Azure, Google Cloud, Databricks, Snowflake, Starburst and more—to democratize trusted data enterprise-wide without compromising compliance with regulations such as GDPR, CCPA, LGPD, or HIPAA. Trusted by Fortune 500 customers across finance, insurance, retail, healthcare, media, public and the federal sector, Privacera is the industry’s leading data access governance platform that delivers unmatched scalability, elasticity, and performance. Headquartered in Fremont, California, Privacera was founded in 2016 to manage cloud data privacy and security by the creators of Apache Ranger™ and Apache Atlas™.

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9

Progress DataDirect

Progress

Empowering applications with enterprise data is our passion here at Progress DataDirect. We offer cloud and on-premises data connectivity solutions across relational, NoSQL, Big Data, and SaaS data sources. Performance, reliability, and security are at the heart of everything we design for thousands of enterprises and the leading vendors in analytics, BI, and data management. Minimize your development costs with our portfolio of high-value connectors for a variety of data sources. Enjoy 24/7 world-class support and security for greater peace of mind. Connect with affordable, easy-to-use, and time-saving drivers for faster SQL access to your data. As a leader in data connectivity, keeping up with the evolving trends in space is our mission. But if we haven’t built the connector you need yet, reach out and we’ll help you develop the right solution. Embed connectivity in an application or service.

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10

Tokern

Tokern

Open source data governance suite for databases and data lakes. Tokern is a simple to use toolkit to collect, organize and analyze data lake's metadata. Run as a command-line app for quick tasks. Run as a service for continuous collection of metadata. Analyze lineage, access control and PII datasets using reporting dashboards or programmatically in Jupyter notebooks. Tokern is an open source data governance suite for databases and data lakes. Improve ROI of your data, comply with regulations like HIPAA, CCPA and GDPR and protect critical data from insider threats with confidence. Centralized metadata management of users, datasets and jobs. Powers other data governance features. Track Column Level Data Lineage for Snowflake, AWS Redshift and BigQuery. Build lineage from query history or ETL scripts. Explore lineage using interactive graphs or programmatically using APIs or SDKs.

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11

Wavo

Wavo

We’ve released a revolutionary big data platform that gathers all information about a music business, providing a single source of truth for decisions. Every music business has hundreds of data sources. But they are siloed and fragmented. Our platform identifies and connects them to build a foundation of quality data that can be applied to all daily music business operations. To work efficiently and securely—and to surface valuable insight no one else can—record labels and agencies require a sophisticated data management and governance system, so that data is available, relevant, and usable at all times. As data sources are ingested into Wavo’s Big Data Platform, machine learning is deployed to tag data based on personalized templates, making it easy to access and drill-down into important information. This enables everyone in a music business to activate and deliver business-ready data, backed up and organized for immediate value.

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12

Alex Solutions

Alex Solutions

The Alex Platform is your enterprise’s single source of data and business truth. Alex is a foundational pillar of our customer’s data-driven success. From day one of implementation, Alex is designed to start reducing complexity and creating value immediately. Alex Augmented Data Catalog is powered by the industry’s best machine learning, rapidly providing a unified, enterprise-wide data platform. No matter how complex your technical landscape may be, Alex Data Lineage helps you map and understand your data flows in an automated and secure way. Worldwide teams need worldwide coordination. Alex Intelligent Business Glossary’s beautiful UI and rich functionality is perfect for conducting global collaboration. Combat complexity of the multi-cloud and global enterprise by unifying all definitions, policies, metrics, rules, processes, workflows and more. Power global data governance programs.

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13

Amundsen

Amundsen

Discover & trust data for your analysis and models. Be more productive by breaking silos. Get immediate context into the data and see how others are using it. Search for data within your organization by a simple text search. A PageRank-inspired search algorithm recommends results based on names, descriptions, tags, and querying/viewing activity on the table/dashboard. Build trust in data using automated and curated metadata, descriptions of tables and columns, other frequent users, when the table was last updated, statistics, a preview of the data if permitted, etc. Easy triage by linking the ETL job and code that generated the data. Update tables and columns with descriptions, reduce unnecessary back and forth about which table to use and what a column contains. See what data fellow co-workers frequently use, own or have bookmarked. Learn what most common queries for a table look like by seeing dashboards built on a given table.

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14

Varada

Varada

Varada’s dynamic and adaptive big data indexing solution enables to balance performance and cost with zero data-ops. Varada’s unique big data indexing technology serves as a smart acceleration layer on your data lake, which remains the single source of truth, and runs in the customer cloud environment (VPC). Varada enables data teams to democratize data by operationalizing the entire data lake while ensuring interactive performance, without the need to move data, model or manually optimize. Our secret sauce is our ability to automatically and dynamically index relevant data, at the structure and granularity of the source. Varada enables any query to meet continuously evolving performance and concurrency requirements for users and analytics API calls, while keeping costs predictable and under control. The platform seamlessly chooses which queries to accelerate and which data to index. Varada elastically adjusts the cluster to meet demand and optimize cost and performance.

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15

Acryl Data

Acryl Data

No more data catalog ghost towns. Acryl Cloud drives fast time-to-value via Shift Left practices for data producers and an intuitive UI for data consumers. Continuously detect data quality incidents in real-time, automate anomaly detection to prevent breakages, and drive fast resolution when they do occur. Acryl Cloud supports both push-based and pull-based metadata ingestion for easy maintenance, ensuring information is trustworthy, up-to-date, and definitive. Data should be operational. Go beyond simple visibility and use automated Metadata Tests to continuously expose data insights and surface new areas for improvement. Reduce confusion and accelerate resolution with clear asset ownership, automatic detection, streamlined alerts, and time-based lineage for tracing root causes.

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