43 Integrations with AWS Glue
View a list of AWS Glue integrations and software that integrates with AWS Glue below. Compare the best AWS Glue integrations as well as features, ratings, user reviews, and pricing of software that integrates with AWS Glue. Here are the current AWS Glue integrations in 2025:
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1
New Relic
New Relic
There are an estimated 25 million engineers in the world across dozens of distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and simple, transparent usage-based pricing with only 2 key metrics. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications.Starting Price: Free -
2
DataHub
DataHub
DataHub Cloud is an event-driven AI & Data Context Platform that uses active metadata for real-time visibility across your entire data ecosystem. Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built connectors. Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support.Starting Price: $75,000 -
3
Stonebranch
Stonebranch
Universal Automation Center (UAC) is a real-time IT automation platform designed to centrally manage and orchestrate tasks and processes across hybrid IT environments - from on-prem to the cloud. Universal Automation Center (UAC) is a software platform designed to automate and orchestrate your IT and business processes, securely manage file transfers, and centralize the management of disparate IT job scheduling and workload automation solutions. With our event-driven automation technology, it is now possible to achieve real-time automation across your entire hybrid IT environment. Real-time hybrid IT automation and managed file transfers (MFT) for any type of cloud, mainframe, distributed or hybrid environment. Start automating, managing and orchestrating file transfers from mainframe or disparate systems to the AWS or Azure cloud and vice versa with no ramp-up time or cost-intensive hardware investments. -
4
DataBuck
FirstEigen
DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to: ✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data. ✅ Reduce maintenance costs by minimizing manual intervention. ✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems. By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights. Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world. -
5
Amazon S3
Amazon
Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. This means customers of all sizes and industries can use it to store and protect any amount of data for a range of use cases, such as data lakes, websites, mobile applications, backup and restore, archive, enterprise applications, IoT devices, and big data analytics. Amazon S3 provides easy-to-use management features so you can organize your data and configure finely-tuned access controls to meet your specific business, organizational, and compliance requirements. Amazon S3 is designed for 99.999999999% (11 9's) of durability, and stores data for millions of applications for companies all around the world. Scale your storage resources up and down to meet fluctuating demands, without upfront investments or resource procurement cycles. Amazon S3 is designed for 99.999999999% (11 9’s) of data durability. -
6
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.Starting Price: $0.01 per month -
7
Amazon EC2
Amazon
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 delivers the broadest choice of compute, networking (up to 400 Gbps), and storage services purpose-built to optimize price performance for ML projects. Build, test, and sign on-demand macOS workloads. Access environments in minutes, dynamically scale capacity as needed, and benefit from AWS’s pay-as-you-go pricing. Access the on-demand infrastructure and capacity you need to run HPC applications faster and cost-effectively. Amazon EC2 delivers secure, reliable, high-performance, and cost-effective compute infrastructure to meet demanding business needs. -
8
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.Starting Price: $0.02 per month -
9
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 -
10
AWS Step Functions
Amazon
AWS Step Functions is a serverless function orchestrator that makes it easy to sequence AWS Lambda functions and multiple AWS services into business-critical applications. Through its visual interface, you can create and run a series of checkpointed and event-driven workflows that maintain the application state. The output of one step acts as an input to the next. Each step in your application executes in order, as defined by your business logic. Orchestrating a series of individual serverless applications, managing retries, and debugging failures can be challenging. As your distributed applications become more complex, the complexity of managing them also grows. With its built-in operational controls, Step Functions manages sequencing, error handling, retry logic, and state, removing a significant operational burden from your team. AWS Step Functions lets you build visual workflows that enable fast translation of business requirements into technical requirements.Starting Price: $0.000025 -
11
kPow
Factor House
We know how easy Apache Kafka® can be with the right tools. We built kPow to make the developer experience with Kafka simple and enjoyable, and to save businesses time and money while growing their Kafka expertise. kPow allows you to get to the heart of production issues in clicks, not hours. Search tens of thousands of messages a second with kPow’s powerful Data Inspect and kREPL functions. New to Kafka? kPow’s unique Kafka UI allows developers to quickly and easily understand core Kafka concepts and gotchas. Upskill new team members, and grow your internal Kafka expertise. kPow provides a suite of Kafka management and monitoring features in a single Docker Container or JAR file. Manage multiple clusters, schema registries, and connect installs with one instance.Starting Price: $2,650 per cluster per year -
12
Causal
Causal
Build models 10x faster, connect them directly to your data, and share them with interactive dashboards and beautiful visuals. Causal's formulas are in plain English— no cell references or obscure syntax and a single Causal formula can do the work of 10s, and even 100s of spreadsheet formulas. Causal's built-in scenarios feature lets you easily set up and compare what-if scenarios, and you can work with ranges ("5 to 10") to understand the full range of possible outcomes of your model. Startups use Causal to calculate runway, track KPIs, plan employee compensation, and build investor-ready financial models for fundraising. Generate beautiful charts and tables without spending hours on customisation and configuration. Easily switch between different time scales and summary views.Starting Price: $50 per user per month -
13
AWS App Mesh
Amazon Web Services
AWS App Mesh is a service mesh that provides application-level networking to facilitate communication between your services across various types of computing infrastructure. App Mesh offers comprehensive visibility and high availability for your applications. Modern applications are generally made up of multiple services. Each service can be developed using various types of compute infrastructure, such as Amazon EC2, Amazon ECS, Amazon EKS, and AWS Fargate. As the number of services within an application grows, it becomes difficult to pinpoint the exact location of errors, redirect traffic after errors, and safely implement code changes. Previously, this required creating monitoring and control logic directly in your code and redeploying your services every time there were changes.Starting Price: Free -
14
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 -
15
Tonic Ephemeral
Tonic
Stop wasting time provisioning and maintaining databases yourself. Effortlessly create isolated test databases to ship features faster. Equip your developers with the ready-to-go data they need to keep fast-paced projects on track. Spin up pre-populated databases for testing purposes as part of your CI/CD pipeline, and automatically tear them down once the tests are done. Quickly and painlessly spin up databases at the click of a button for testing, bug reproduction, demos, and more with built-in container orchestration. Use our patented subsetter to shrink PBs down to GBs without breaking referential integrity, then leverage Tonic Ephemeral to spin up a database with only the data needed for development to cut cloud costs and maximize efficiency. Pair our patented subsetted with Tonic Ephemeral to get all the data subsets you need for only as long as you need them. Maximize efficiency by getting your developers access to one-off datasets for local development.Starting Price: $199 per month -
16
Amazon Security Lake
Amazon
Amazon Security Lake automatically centralizes security data from AWS environments, SaaS providers, on-premises, and cloud sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization. You can also improve the protection of your workloads, applications, and data. Security Lake has adopted the Open Cybersecurity Schema Framework (OCSF), an open standard. With OCSF support, the service normalizes and combines security data from AWS and a broad range of enterprise security data sources. Use your preferred analytics tools to analyze your security data while retaining complete control and ownership over that data. Centralize data visibility from cloud and on-premises sources across your accounts and AWS Regions. Streamline your data management at scale by normalizing your security data to an open standard.Starting Price: $0.75 per GB per month -
17
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. -
18
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. -
19
Progress DataDirect
Progress Software
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. -
20
OpenAccess SDK
Progress
Build standards-based connectivity (ODBC, JDBC, ADO.NET) for underlying data that is compatible with the most popular analytical and data integration tools. Personally identifiable information that shouldn’t be seen by all users can be hidden or exposed only on a need-to-know basis. OpenAccess SDK is a tool developer can use to handle 99% of the code required to produce a standards-based driver with SQL support. OpenAccess SDK lets you quickly create a standards-based, ASNI-SQL compliant ODBC, JDBC, or ADO.NET driver for your unique requirements without the domain expertise and heavy lift of full code development. Quickly generate a custom driver using our prebuilt addons or develop directly against SDK interfaces. Provides the fastest way to make your application compatible with data-centric tools, such as BI and analytics, ETL, and more. Enables implementation of a single interface for data access from all standards-based APIs. -
21
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 -
22
FairCom EDGE
FairCom
FairCom EDGE simplifies the integration of sensor and machine data at the source – whether it’s a factory, water treatment plant, oil platform or wind farm. The world’s first converged IoT/Industrial IoT hub, FairCom EDGE unifies messaging, persistence and analytics with an all-in-one solution – complete with browser-based administration, configuration and monitoring. FairCom EDGE supports MQTT and OPC UA for machine-to-machine (M2M) communication, SQL for interactive analytics and HTTP/REST for real-time monitoring. It continuously retrieves data from sensors and machines with OPC UA support, and receives messages from those with MQTT support. The data is automatically parsed, persisted and made accessible via MQTT and SQL.Starting Price: Free -
23
TrustLogix
TrustLogix
The TrustLogix Cloud Data Security Platform breaks down silos between data owners, security owners, and data consumers with simplified data access management and compliance. Discover cloud data access issues and risks in 30 minutes or less, without requiring visibility to the data itself. Deploy fine-grained attribute-based access control (ABAC) and role-based access control (RBAC) policies and centrally manage your data security posture across all clouds and data platforms. TrustLogix continuously monitors and alerts for new risks and non-compliance such as suspicious activity, over-privileged accounts, ghost accounts, and new dark data or data sprawl, thus empowering you to respond quickly and decisively to address them. Additionally, alerts can be reported to SIEM and other GRC systems. -
24
Saagie
Saagie
The Saagie cloud data factory is a turnkey platform that lets you create and manage all your data & AI projects in a single interface, deployable in just a few clicks. Develop your use cases and test your AI models in a secure way with the Saagie data factory. Get your data and AI projects off the ground with a single interface and centralize your teams to make rapid progress. Whatever your maturity level, from your first data project to a data & AI-driven strategy, the Saagie platform is there for you. Simplify your workflows, boost your productivity, and make more informed decisions by unifying your work on a single platform. Transform your raw data into powerful insights by orchestrating your data pipelines. Get quick access to the information you need to make more informed decisions. Simplify the management and scalability of your data and AI infrastructure. Accelerate the time-to-production of your AI, machine learning, and deep learning models. -
25
Amazon S3 Express One Zone
Amazon
Amazon S3 Express One Zone is a high-performance, single-Availability Zone storage class purpose-built to deliver consistent single-digit millisecond data access for your most frequently accessed data and latency-sensitive applications. It offers data access speeds up to 10 times faster and requests costs up to 50% lower than S3 Standard. With S3 Express One Zone, you can select a specific AWS Availability Zone within an AWS Region to store your data, allowing you to co-locate your storage and compute resources in the same Availability Zone to further optimize performance, which helps lower compute costs and run workloads faster. Data is stored in a different bucket type, an S3 directory bucket, which supports hundreds of thousands of requests per second. Additionally, you can use S3 Express One Zone with services such as Amazon SageMaker Model Training, Amazon Athena, Amazon EMR, and AWS Glue Data Catalog to accelerate your machine learning and analytics workloads. -
26
AWS Marketplace
Amazon
AWS Marketplace is a curated digital catalog that enables customers to discover, purchase, deploy, and manage third-party software, data products, AI agents, and services directly within the AWS ecosystem. It provides access to thousands of listings across categories like security, machine learning, business applications, and DevOps tools. With flexible pricing models such as pay-as-you-go, annual subscriptions, and free trials, AWS Marketplace simplifies procurement and billing by integrating costs into a single AWS invoice. It also supports rapid deployment with pre-configured software that can be launched on AWS infrastructure. This streamlined approach allows businesses to accelerate innovation, reduce time-to-market, and maintain better control over software usage and costs. -
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Orchestra
Orchestra
Orchestra is a Unified Control Plane for Data and AI Operations, designed to help data teams build, deploy, and monitor workflows with ease. It offers a declarative framework that combines code and GUI, allowing users to implement workflows 10x faster and reduce maintenance time by 50%. With real-time metadata aggregation, Orchestra provides full-stack data observability, enabling proactive alerting and rapid recovery from pipeline failures. It integrates seamlessly with tools like dbt Core, dbt Cloud, Coalesce, Airbyte, Fivetran, Snowflake, BigQuery, Databricks, and more, ensuring compatibility with existing data stacks. Orchestra's modular architecture supports AWS, Azure, and GCP, making it a versatile solution for enterprises and scale-ups aiming to streamline their data operations and build trust in their AI initiatives. -
28
Feroot
Feroot Security
Feroot believes that businesses and their customers should be able to engage in a safe and secure online user experience. Whether it’s leveraging the purchasing power of an e-commerce website, accessing internet-based healthcare services, or transferring funds between financial accounts, Feroot's sole mission is to secure client-side web applications so that users can engage safely in online environments. Our products help organizations uncover supply chain risks and protect their client-side attack surface. With Feroot Inspector, businesses can scan, monitor, and enforce security controls to prevent data loss incidents within software logic on the front end caused by compromised JavaScript, third parties and configuration weaknesses. Our data protection capabilities significantly minimize time- and labor-intensive code reviews and threat analysis, and remove the ambiguity associated with client-side security detection, response, and prevention. -
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FairCom DB
FairCom Corporation
FairCom DB is ideal for large-scale, mission-critical, core-business applications that require performance, reliability and scalability that cannot be achieved by other databases. FairCom DB delivers predictable high-velocity transactions and massively parallel big data analytics. It empowers developers with NoSQL APIs for processing binary data at machine speed and ANSI SQL for easy queries and analytics over the same binary data. Among the companies that take advantage of the flexibility of FairCom DB is Verizon, who recently chose FairCom DB as an in-memory database for its Verizon Intelligent Network Control Platform Transaction Server Migration. FairCom DB is an advanced database engine that gives you a Continuum of Control to achieve unprecedented performance with the lowest total cost of ownership (TCO). You do not conform to FairCom DB…FairCom DB conforms to you. With FairCom DB, you are not forced to conform your needs to meet the limitations of the database. -
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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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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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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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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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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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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. -
36
Amazon SageMaker Studio
Amazon
Amazon SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, and deploying your ML models, improving data science team productivity by up to 10x. You can quickly upload data, create new notebooks, train and tune models, move back and forth between steps to adjust experiments, collaborate seamlessly within your organization, and deploy models to production without leaving SageMaker Studio. Perform all ML development steps, from preparing raw data to deploying and monitoring ML models, with access to the most comprehensive set of tools in a single web-based visual interface. Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models. -
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Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs to ML models used during training and inference. For example, in an application that recommends a music playlist, features could include song ratings, listening duration, and listener demographics. Features are used repeatedly by multiple teams and feature quality is critical to ensure a highly accurate model. Also, when features used to train models offline in batch are made available for real-time inference, it’s hard to keep the two feature stores synchronized. SageMaker Feature Store provides a secured and unified store for feature use across the ML lifecycle. Store, share, and manage ML model features for training and inference to promote feature reuse across ML applications. Ingest features from any data source including streaming and batch such as application logs, service logs, clickstreams, sensors, etc.
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38
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. -
39
Pendula
Pendula
Customer attention is scarce, and marketing and CX leaders are facing increasing pressure to continue driving growth with less time and tighter resources. With the limitless potential of generative AI, Pendula empowers teams to deliver adaptive and meaningful two-way customer experiences to inspire, engage, and retain customers at scale. Pendula aims to be at the heart of every conversation between businesses and their customers, all over the world. Intuitive drag-and-drop functionality that will empower teams to do their best work. Create two-way conversations and act on them intelligently with real-time data. Harness the power of AI to activate your entire data stack. The heart of next-gen customer engagement and retention. With Pendula's workflow studio, the only limits are the boundaries of your creative thinking. Select a data source to identify the moments that actually matter to your customers. -
40
Unity Catalog
Databricks
Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. With Unity Catalog, organizations can seamlessly govern both structured and unstructured data in any format, as well as machine learning models, notebooks, dashboards, and files across any cloud or platform. Data scientists, analysts, and engineers can securely discover, access, and collaborate on trusted data and AI assets across platforms, leveraging AI to boost productivity and unlock the full potential of the lakehouse environment. This unified and open approach to governance promotes interoperability and accelerates data and AI initiatives while simplifying regulatory compliance. Easily discover and classify both structured and unstructured data in any format, including machine learning models, notebooks, dashboards, and files across all cloud platforms. -
41
Amazon DataZone
Amazon
Amazon DataZone is a data management service that enables customers to catalog, discover, share, and govern data stored across AWS, on-premises, and third-party sources. It allows administrators and data stewards to manage and control access to data using fine-grained controls, ensuring that users have the appropriate level of privileges and context. The service simplifies data access for engineers, data scientists, product managers, analysts, and business users, facilitating data-driven insights through seamless collaboration. Key features of Amazon DataZone include a business data catalog for searching and requesting access to published data, project collaboration tools for managing and monitoring data assets, a web-based portal providing personalized views for data analytics, and governed data sharing workflows to ensure appropriate data access. Additionally, Amazon DataZone automates data discovery and cataloging using machine learning. -
42
Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models. Built on Amazon DataZone, it integrates various AWS analytics and AI/ML services, such as Amazon EMR, AWS Glue, and Amazon Bedrock, into a single platform. Users can discover, access, and process data from various sources like Amazon S3 and Redshift, and develop generative AI applications. With tools for model development, governance, MLOps, and AI customization, SageMaker Unified Studio provides an efficient, secure, and collaborative environment for data teams.
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43
SDF
SDF
SDF is a developer platform for data that enhances SQL comprehension across organizations, enabling data teams to unlock the full potential of their data. It provides a transformation layer to streamline query writing and management, an analytical database engine for local execution, and an accelerator for improved transformation processes. SDF also offers proactive quality and governance features, including reports, contracts, and impact analysis, to ensure data integrity and compliance. By representing business logic as code, SDF facilitates the classification and management of data types, enhancing the clarity and maintainability of data models. It integrates seamlessly with existing data workflows, supporting various SQL dialects and cloud environments, and is designed to scale with the growing needs of data teams. SDF's open-core architecture, built on Apache DataFusion, allows for customization and extension, fostering a collaborative ecosystem for data development.
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