Alternatives to Data Lakes on AWS
Compare Data Lakes on AWS alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Data Lakes on AWS in 2025. Compare features, ratings, user reviews, pricing, and more from Data Lakes on AWS competitors and alternatives in order to make an informed decision for your business.
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Bright Data
Bright Data
Bright Data is the world's #1 web data, proxies, & data scraping solutions platform. Fortune 500 companies, academic institutions and small businesses all rely on Bright Data's products, network and solutions to retrieve crucial public web data in the most efficient, reliable and flexible manner, so they can research, monitor, analyze data and make better informed decisions. Bright Data is used worldwide by 20,000+ customers in nearly every industry. Its products range from no-code data solutions utilized by business owners, to a robust proxy and scraping infrastructure used by developers and IT professionals. Bright Data products stand out because they provide a cost-effective way to perform fast and stable public web data collection at scale, effortless conversion of unstructured data into structured data and superior customer experience, while being fully transparent and compliant. -
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Qubole
Qubole
Qubole is a simple, open, and secure Data Lake Platform for machine learning, streaming, and ad-hoc analytics. Our platform provides end-to-end services that reduce the time and effort required to run Data pipelines, Streaming Analytics, and Machine Learning workloads on any cloud. No other platform offers the openness and data workload flexibility of Qubole while lowering cloud data lake costs by over 50 percent. Qubole delivers faster access to petabytes of secure, reliable and trusted datasets of structured and unstructured data for Analytics and Machine Learning. Users conduct ETL, analytics, and AI/ML workloads efficiently in end-to-end fashion across best-of-breed open source engines, multiple formats, libraries, and languages adapted to data volume, variety, SLAs and organizational policies. -
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Dataleyk
Dataleyk
Dataleyk is the secure, fully-managed cloud data platform for SMBs. Our mission is to make Big Data analytics easy and accessible to all. Dataleyk is the missing link in reaching your data-driven goals. Our platform makes it quick and easy to have a stable, flexible and reliable cloud data lake with near-zero technical knowledge. Bring all of your company data from every single source, explore with SQL and visualize with your favorite BI tool or our advanced built-in graphs. Modernize your data warehousing with Dataleyk. Our state-of-the-art cloud data platform is ready to handle your scalable structured and unstructured data. Data is an asset, Dataleyk is a secure, cloud data platform that encrypts all of your data and offers on-demand data warehousing. Zero maintenance, as an objective, may not be easy to achieve. But as an initiative, it can be a driver for significant delivery improvements and transformational results.Starting Price: €0.1 per GB -
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Alibaba Cloud Data Lake Formation
Alibaba Cloud
A data lake is a centralized repository used for big data and AI computing. It allows you to store structured and unstructured data at any scale. Data Lake Formation (DLF) is a key component of the cloud-native data lake framework. DLF provides an easy way to build a cloud-native data lake. It seamlessly integrates with a variety of compute engines and allows you to manage the metadata in data lakes in a centralized manner and control enterprise-class permissions. Systematically collects structured, semi-structured, and unstructured data and supports massive data storage. Uses an architecture that separates computing from storage. You can plan resources on demand at low costs. This improves data processing efficiency to meet the rapidly changing business requirements. DLF can automatically discover and collect metadata from multiple engines and manage the metadata in a centralized manner to solve the data silo issues. -
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Openbridge
Openbridge
Uncover insights to supercharge sales growth using code-free, fully-automated data pipelines to data lakes or cloud warehouses. A flexible, standards-based platform to unify sales and marketing data for automating insights and smarter growth. Say goodbye to messy, expensive manual data downloads. Always know what you’ll pay and only pay for what you use. Fuel your tools with quick access to analytics-ready data. As certified developers, we only work with secure, official APIs. Get started quickly with data pipelines from popular sources. Pre-built, pre-transformed, and ready-to-go data pipelines. Unlock data from Amazon Vendor Central, Amazon Seller Central, Instagram Stories, Facebook, Amazon Advertising, Google Ads, and many others. Code-free data ingestion and transformation processes allow teams to realize value from their data quickly and cost-effectively. Data is always securely stored directly in a trusted, customer-owned data destination like Databricks, Amazon Redshift, etc.Starting Price: $149 per month -
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Infor Data Lake
Infor
Solving today’s enterprise and industry challenges requires big data. The ability to capture data from across your enterprise—whether generated by disparate applications, people, or IoT infrastructure–offers tremendous potential. Infor’s Data Lake tools deliver schema-on-read intelligence along with a fast, flexible data consumption framework to enable new ways of making key decisions. With leveraged access to your entire Infor ecosystem, you can start capturing and delivering big data to power your next generation analytics and machine learning strategies. Infinitely scalable, the Infor Data Lake provides a unified repository for capturing all of your enterprise data. Grow with your insights and investments, ingest more content for better informed decisions, improve your analytics profiles, and provide rich data sets to build more powerful machine learning processes. -
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Lentiq
Lentiq
Lentiq is a collaborative data lake as a service environment that’s built to enable small teams to do big things. Quickly run data science, machine learning and data analysis at scale in the cloud of your choice. With Lentiq, your teams can ingest data in real time and then process, clean and share it. From there, Lentiq makes it possible to build, train and share models internally. Simply put, data teams can collaborate with Lentiq and innovate with no restrictions. Data lakes are storage and processing environments, which provide ML, ETL, schema-on-read querying capabilities and so much more. Are you working on some data science magic? You definitely need a data lake. In the Post-Hadoop era, the big, centralized data lake is a thing of the past. With Lentiq, we use data pools, which are multi-cloud, interconnected mini-data lakes. They work together to give you a stable, secure and fast data science environment. -
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Medallia
Medallia
Medallia allows you to thoughtfully and systematically engage your users with targeted, in-the-moment surveys across digital and traditional touchpoints. Our easily implemented survey solutions ensure you're gathering relevant, actionable data to make measurable customer impact. Once the customer survey data is collected, Medallia's AI technology uses machine learning to analyze structured and unstructured data to uncover sentiment, find commonalities, predict behavior, anticipate needs and prescribe actions to improve experiences. Build the most effective surveys for your customer journeys. Rapidly manage change and innovation to every aspect of your experience management program—from design to emails, questions and translations—with sophisticated targeting logic, flexible conditioning and distribution. Medallia surveys allow you to -
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Etlworks
Etlworks
Etlworks is a modern, cloud-first, any-to-any data integration platform that scales with the business. It can connect to business applications, databases, and structured, semi-structured, and unstructured data of any type, shape, and size. You can create, test, and schedule very complex data integration and automation scenarios and data integration APIs in no time, right in the browser, using an intuitive drag-and-drop interface, scripting languages, and SQL. Etlworks supports real-time change data capture (CDC) from all major databases, EDI transformations, and many other fundamental data integration tasks. Most importantly, it really works as advertised.Starting Price: $300 per month -
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Lyftrondata
Lyftrondata
Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse. -
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Palantir Gotham
Palantir Technologies
Integrate, manage, secure, and analyze all of your enterprise data. Organizations have data. Lots of it. Structured data like log files, spreadsheets, and tables. Unstructured data like emails, documents, images, and videos. This data is typically stored in disconnected systems, where it rapidly diversifies in type, increases in volume, and becomes more difficult to use every day. The people who rely on this data don't think in terms of rows, columns, or raw text. They think in terms of their organization's mission and the challenges they face. They need a way to ask questions about their data and receive answers in a language they understand. Enter the Palantir Gotham Platform. Palantir Gotham integrates and transforms data, regardless of type or volume, into a single, coherent data asset. As data flows into the platform, it is enriched and mapped into meaningfully defined objects — people, places, things, and events — and the relationships that connect them. -
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Anatics
Anatics
Data transformation and marketing analysis for enterprise. Driving confidence in your marketing investment and returns on advertising spend. Unstructured data is bad data and puts marketing decisions at risk. Extract, transform and load your data; run marketing programs with confidence. Connect and centralize your marketing data in anaticsTM. Load, normalize and transform your data in meaningful ways. Analyze and track your data; drive marketing performance. Collect, prepare and analyze all your marketing data. Say bye-bye to manually extracting data from different platforms. Fully automated data integration from more +400 data sources. Export the data to your chosen destinations. Store your raw data safely in the cloud so you can access them anytime you want. Back up your marketing plans with data. Focus your resources on action and growth, not downloading endless spreadsheets and CSV files.Starting Price: $500 per month -
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BDB Platform
Big Data BizViz
BDB is a modern data analytics and BI platform which can skillfully dive deep into your data to provide actionable insights. It is deployable on the cloud as well as on-premise. Our exclusive microservices based architecture has the elements of Data Preparation, Predictive, Pipeline and Dashboard designer to provide customized solutions and scalable analytics to different industries. BDB’s strong NLP based search enables the user to unleash the power of data on desktop, tablets and mobile as well. BDB has various ingrained data connectors, and it can connect to multiple commonly used data sources, applications, third party API’s, IoT, social media, etc. in real-time. It lets you connect to RDBMS, Big data, FTP/ SFTP Server, flat files, web services, etc. and manage structured, semi-structured as well as unstructured data. Start your journey to advanced analytics today. -
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Data in its raw state is like an uncut diamond. It needs to be processed and polished before its true value can be realized. EY Cloud Data IQ is designed to do exactly that, a subscription-based data analytics platform created specifically for wealth and asset management firms, it supports companies to reap the benefits of data to better serve investors, regulators, and markets. The EY Cloud Data IQ platform is hosted in the cloud and supported by an EY-managed service. It uses advanced visualizations and Artificial Intelligence (AI) to provide companies with a real-time, integrated view of customers’ interactions, intuitive client reporting, and detailed management information. The platform combines structured and unstructured data — such as social media activity, and audio and video streams — into one reliable and transparent resource.
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Azure Data Lake
Microsoft
Azure Data Lake includes all the capabilities required to make it easy for developers, data scientists, and analysts to store data of any size, shape, and speed, and do all types of processing and analytics across platforms and languages. It removes the complexities of ingesting and storing all of your data while making it faster to get up and running with batch, streaming, and interactive analytics. Azure Data Lake works with existing IT investments for identity, management, and security for simplified data management and governance. It also integrates seamlessly with operational stores and data warehouses so you can extend current data applications. We’ve drawn on the experience of working with enterprise customers and running some of the largest scale processing and analytics in the world for Microsoft businesses like Office 365, Xbox Live, Azure, Windows, Bing, and Skype. Azure Data Lake solves many of the productivity and scalability challenges that prevent you from maximizing the -
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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. -
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ELCA Smart Data Lake Builder
ELCA Group
Classical Data Lakes are often reduced to basic but cheap raw data storage, neglecting significant aspects like transformation, data quality and security. These topics are left to data scientists, who end up spending up to 80% of their time acquiring, understanding and cleaning data before they can start using their core competencies. In addition, classical Data Lakes are often implemented by separate departments using different standards and tools, which makes it harder to implement comprehensive analytical use cases. Smart Data Lakes solve these various issues by providing architectural and methodical guidelines, together with an efficient tool to build a strong high-quality data foundation. Smart Data Lakes are at the core of any modern analytics platform. Their structure easily integrates prevalent Data Science tools and open source technologies, as well as AI and ML. Their storage is cheap and scalable, supporting both unstructured data and complex data structures.Starting Price: Free -
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Restructured
Kolena
Restructured is an AI-powered platform designed to help businesses extract insights from unstructured data at scale. Whether dealing with documents, images, audio, or video, it combines LLM capabilities with advanced search and retrieval methods to not only index information but also understand it in context. Restructured transforms massive datasets into actionable insights, making complex data easy to navigate and analyze.Starting Price: $99/user/month -
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Innodata
Innodata
We Make Data for the World's Most Valuable Companies Innodata solves your toughest data engineering challenges using artificial intelligence and human expertise. Innodata provides the services and solutions you need to harness digital data at scale and drive digital disruption in your industry. We securely and efficiently collect & label your most complex and sensitive data, delivering near-100% accurate ground truth for AI and ML models. Our easy-to-use API ingests your unstructured data (such as contracts and medical records) and generates normalized, schema-compliant structured XML for your downstream applications and analytics. We ensure that your mission-critical databases are accurate and always up-to-date. -
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Synomia
Synomia
Thanks to AI, transform your semantic data into insights to objectify your strategic decisions and guide your actions. A pioneer in Artificial Intelligence and owner of semantic data processing technologies, Synomia transforms large amounts of unstructured data into insights to enable brands to better objectify their strategies and activation systems. Identify tomorrow's trends based on the massive analysis of strong and weak signals in your market. Find the most impactful angles of attack for your digital strategies. We master all semantic AI technologies, which we activate according to the needs of our customers: supervised or unsupervised machine learning and rule-based systems. Semantic AI makes it possible to analyze a large number of sources and makes it possible to set up methodologies oriented towards discovery and novelty, it is the key to strategies truly aligned with the expectations of its targets. -
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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 -
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Archon Data Store
Platform 3 Solutions
Archon Data Store™ is a powerful and secure open-source based archive lakehouse platform designed to store, manage, and provide insights from massive volumes of data. With its compliance features and minimal footprint, it enables large-scale search, processing, and analysis of structured, unstructured, & semi-structured data across your organization. Archon Data Store combines the best features of data warehouses and data lakes into a single, simplified platform. This unified approach eliminates data silos, streamlining data engineering, analytics, data science, and machine learning workflows. Through metadata centralization, optimized data storage, and distributed computing, Archon Data Store maintains data integrity. Its common approach to data management, security, and governance helps you operate more efficiently and innovate faster. Archon Data Store provides a single platform for archiving and analyzing all your organization's data while delivering operational efficiencies. -
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BryteFlow
BryteFlow
BryteFlow builds the most efficient automated environments for analytics ever. It converts Amazon S3 into an awesome analytics platform by leveraging the AWS ecosystem intelligently to deliver data at lightning speeds. It complements AWS Lake Formation and automates the Modern Data Architecture providing performance and productivity. You can completely automate data ingestion with BryteFlow Ingest’s simple point-and-click interface while BryteFlow XL Ingest is great for the initial full ingest for very large datasets. No coding is needed! With BryteFlow Blend you can merge data from varied sources like Oracle, SQL Server, Salesforce and SAP etc. and transform it to make it ready for Analytics and Machine Learning. BryteFlow TruData reconciles the data at the destination with the source continually or at a frequency you select. If data is missing or incomplete you get an alert so you can fix the issue easily. -
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A data lakehouse is a modern, open architecture that enables you to store, understand, and analyze all your data. It combines the power and richness of data warehouses with the breadth and flexibility of the most popular open source data technologies you use today. A data lakehouse can be built from the ground up on Oracle Cloud Infrastructure (OCI) to work with the latest AI frameworks and prebuilt AI services like Oracle’s language service. Data Flow is a serverless Spark service that enables our customers to focus on their Spark workloads with zero infrastructure concepts. Oracle customers want to build advanced, machine learning-based analytics over their Oracle SaaS data, or any SaaS data. Our easy- to-use data integration connectors for Oracle SaaS, make creating a lakehouse to analyze all data with your SaaS data easy and reduces time to solution.
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The Qlik Data Integration platform for managed data lakes automates the process of providing continuously updated, accurate, and trusted data sets for business analytics. Data engineers have the agility to quickly add new sources and ensure success at every step of the data lake pipeline from real-time data ingestion, to refinement, provisioning, and governance. A simple and universal solution for continually ingesting enterprise data into popular data lakes in real-time. A model-driven approach for quickly designing, building, and managing data lakes on-premises or in the cloud. Deliver a smart enterprise-scale data catalog to securely share all of your derived data sets with business users.
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Hydrolix
Hydrolix
Hydrolix is a streaming data lake that combines decoupled storage, indexed search, and stream processing to deliver real-time query performance at terabyte-scale for a radically lower cost. CFOs love the 4x reduction in data retention costs. Product teams love 4x more data to work with. Spin up resources when you need them and scale to zero when you don’t. Fine-tune resource consumption and performance by workload to control costs. Imagine what you can build when you don’t have to sacrifice data because of budget. Ingest, enrich, and transform log data from multiple sources including Kafka, Kinesis, and HTTP. Return just the data you need, no matter how big your data is. Reduce latency and costs, eliminate timeouts, and brute force queries. Storage is decoupled from ingest and query, allowing each to independently scale to meet performance and budget targets. Hydrolix’s high-density compression (HDX) typically reduces 1TB of stored data to 55GB.Starting Price: $2,237 per month -
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AWS Lake Formation
Amazon
AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake lets you break down data silos and combine different types of analytics to gain insights and guide better business decisions. Setting up and managing data lakes today involves a lot of manual, complicated, and time-consuming tasks. This work includes loading data from diverse sources, monitoring those data flows, setting up partitions, turning on encryption and managing keys, defining transformation jobs and monitoring their operation, reorganizing data into a columnar format, deduplicating redundant data, and matching linked records. Once data has been loaded into the data lake, you need to grant fine-grained access to datasets, and audit access over time across a wide range of analytics and machine learning (ML) tools and services. -
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DataChain
iterative.ai
DataChain connects unstructured data in cloud storage with AI models and APIs, enabling instant data insights by leveraging foundational models and API calls to quickly understand your unstructured files in storage. Its Pythonic stack accelerates development tenfold by switching to Python-based data wrangling without SQL data islands. DataChain ensures dataset versioning, guaranteeing traceability and full reproducibility for every dataset to streamline team collaboration and ensure data integrity. It allows you to analyze your data where it lives, keeping raw data in storage (S3, GCP, Azure, or local) while storing metadata in inefficient data warehouses. DataChain offers tools and integrations that are cloud-agnostic for both storage and computing. With DataChain, you can query your unstructured multi-modal data, apply intelligent AI filters to curate data for training and snapshot your unstructured data, the code for data selection, and any stored or computed metadata.Starting Price: Free -
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Logstash
Elasticsearch
Centralize, transform & stash your data. Logstash is a free and open server-side data processing pipeline that ingests data from a multitude of sources, transforms it, and then sends it to your favorite "stash." Logstash dynamically ingests, transforms, and ships your data regardless of format or complexity. Derive structure from unstructured data with grok, decipher geo coordinates from IP addresses, anonymize or exclude sensitive fields, and ease overall processing. Data is often scattered or siloed across many systems in many formats. Logstash supports a variety of inputs that pull in events from a multitude of common sources, all at the same time. Easily ingest from your logs, metrics, web applications, data stores, and various AWS services, all in continuous, streaming fashion. Download: https://sourceforge.net/projects/logstash.mirror/ -
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Graviti
Graviti
Unstructured data is the future of AI. Unlock this future now and build an ML/AI pipeline that scales all of your unstructured data in one place. Use better data to deliver better models, only with Graviti. Get to know the data platform that enables AI developers with management, query, and version control features that are designed for unstructured data. Quality data is no longer a pricey dream. Manage your metadata, annotation, and predictions in one place. Customize filters and visualize filtering results to get you straight to the data that best match your needs. Utilize a Git-like structure to manage data versions and collaborate with your teammates. Role-based access control and visualization of version differences allows your team to work together safely and flexibly. Automate your data pipeline with Graviti’s built-in marketplace and workflow builder. Level-up to fast model iterations with no more grinding. -
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Xurmo
Xurmo
Even the best prepared data-driven organizations are challenged by the growing volume, velocity and variety of data. As expectations from analytics grow, infrastructure, time and people resources become increasingly limited. Xurmo addresses these limitations with an easy-to-use, self-service product. Configure and ingest any & all data from one single interface. Xurmo will consume structured or unstructured data of any kind and automatically bring it to analysis. Let Xurmo take on the heavy lifting and help you configure intelligence. From building analytical models to deploying them in automation mode, Xurmo supports interactively. Automate intelligence from even complex, dynamically changing data. Analytical models built on Xurmo can be configured and deployed in automation mode across data environments. -
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VoyagerAnalytics
Voyager Labs
Every day, an immense amount of publicly available, unstructured data is produced on the open, deep, and dark web. The ability to gain immediate and actionable insights from this vast amount of data is critical for any investigation. VoyagerAnalytics is an AI-based analysis platform, designed to analyze massive amounts of unstructured open, deep, and dark web data, as well as internal data, in order to reveal actionable insights. The platform enables investigators to uncover social whereabouts and hidden connections between entities and focus on the most relevant leads and critical pieces of information from an ocean of unstructured data. Simplify data gathering, analysis and smart visualization that would take months to handle. It presents the most relevant and important information in near real-time, saving resources normally spent retrieving, processing, and analyzing vast amounts of unstructured data. -
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OpenText Unstructured Data Analytics
OpenText
OpenText™ Unstructured Data Analytics products employ AI and machine learning to help organizations uncover and leverage key insights stored deep within their unstructured data, including text, audio, video, and images. Organizations can connect all their data to understand the context and information locked inside high-growth unstructured content—at scale. Discover insights hidden within all types of media with unified text, speech, and video analytics that support more than 1,500 data formats. Use natural language processing, optical character recognition (OCR), and other AI-powered models to understand and track the meaning within unstructured data. Employ the latest innovations in machine learning and deep neural networks to understand written and spoken language in data, revealing greater insights. -
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Qlik Compose
Qlik
Qlik Compose for Data Warehouses provides a modern approach by automating and optimizing data warehouse creation and operation. Qlik Compose automates designing the warehouse, generating ETL code, and quickly applying updates, all whilst leveraging best practices and proven design patterns. Qlik Compose for Data Warehouses dramatically reduces the time, cost and risk of BI projects, whether on-premises or in the cloud. Qlik Compose for Data Lakes automates your data pipelines to create analytics-ready data sets. By automating data ingestion, schema creation, and continual updates, organizations realize faster time-to-value from their existing data lake investments. -
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i2
N. Harris Computer Corporation
Turn overwhelming and disparate data from multiple sources into actionable intelligence in near-real time to make informed decisions. Quickly find hidden connections and critical patterns buried in internal, external, and open-source data. Experience i2’s world-class intelligence analysis software for yourself. Request an i2 demo and learn how to uncover critical connections and hidden insights faster than ever. Track critical missions across law enforcement, fraud and financial crime, military defense, and national security and intelligence sectors with the i2 intelligence analysis platform. Capture and fuse structured and unstructured data from internal and external sources, including OSINT and dark web data, to provide an expansive data pool to search and discover over. Fuse advanced analytics with sophisticated geospatial, visual, graph, temporal, and social analysis capabilities to give analysts greater situational awareness. -
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Kadoa
Kadoa
Instead of building custom scrapers to extract unstructured data, get the data you want in seconds with our generative AI. Define data, sources, and schedule. Kadoa autogenerates scrapers for the sources and automatically adapts to website changes. Kadoa extracts the data and ensures data accuracy. Receive the data in any format with our powerful API. Effortlessly extract data from any web page with our AI-generated scrapers. No coding is required. Quick and easy setup, have your data ready in seconds. Focus on other tasks without worrying about constantly changing data structures. Get around CAPTCHAs and other blockers. Recurring data extraction, so you can set it and forget it. Easily access and use the extracted data in your own projects and tools. Track market prices automatically to make better pricing decisions. Aggregate and parse job postings across thousands of job boards. Let your sales team focus on discovery and closing instead of copying and pasting information.Starting Price: $300 per month -
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Cribl Lake
Cribl
Storage that doesn’t lock data in. Get up and running fast with a managed data lake. Easily store, access, and retrieve data, without being a data expert. Cribl Lake keeps you from drowning in data. Easily store, manage, enforce policy on, and access data when you need. Dive into the future with open formats and unified retention, security, and access control policies. Let Cribl handle the heavy lifting so data can be usable and valuable to the teams and tools that need it. Minutes, not months to get up and running with Cribl Lake. Zero configuration with automated provisioning and out-of-the-box integrations. Streamline workflows with Stream and Edge for powerful data ingestion and routing. Cribl Search unifies queries no matter where data is stored, so you can get value from data without delays. Take an easy path to collect and store data for long-term retention. Comply with legal and business requirements for data retention by defining specific retention periods. -
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Mozart Data
Mozart Data
Mozart Data is the all-in-one modern data platform that makes it easy to consolidate, organize, and analyze data. Start making data-driven decisions by setting up a modern data stack in an hour - no engineering required. -
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Dremio
Dremio
Dremio delivers lightning-fast queries and a self-service semantic layer directly on your data lake storage. No moving data to proprietary data warehouses, no cubes, no aggregation tables or extracts. Just flexibility and control for data architects, and self-service for data consumers. Dremio technologies like Data Reflections, Columnar Cloud Cache (C3) and Predictive Pipelining work alongside Apache Arrow to make queries on your data lake storage very, very fast. An abstraction layer enables IT to apply security and business meaning, while enabling analysts and data scientists to explore data and derive new virtual datasets. Dremio’s semantic layer is an integrated, searchable catalog that indexes all of your metadata, so business users can easily make sense of your data. Virtual datasets and spaces make up the semantic layer, and are all indexed and searchable. -
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DataLakeHouse.io
DataLakeHouse.io
DataLakeHouse.io (DLH.io) Data Sync provides replication and synchronization of operational systems (on-premise and cloud-based SaaS) data into destinations of their choosing, primarily Cloud Data Warehouses. Built for marketing teams and really any data team at any size organization, DLH.io enables business cases for building single source of truth data repositories, such as dimensional data warehouses, data vault 2.0, and other machine learning workloads. Use cases are technical and functional including: ELT, ETL, Data Warehouse, Pipeline, Analytics, AI & Machine Learning, Data, Marketing, Sales, Retail, FinTech, Restaurant, Manufacturing, Public Sector, and more. DataLakeHouse.io is on a mission to orchestrate data for every organization particularly those desiring to become data-driven, or those that are continuing their data driven strategy journey. DataLakeHouse.io (aka DLH.io) enables hundreds of companies to managed their cloud data warehousing and analytics solutions.Starting Price: $99 -
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Onehouse
Onehouse
The only fully managed cloud data lakehouse designed to ingest from all your data sources in minutes and support all your query engines at scale, for a fraction of the cost. Ingest from databases and event streams at TB-scale in near real-time, with the simplicity of fully managed pipelines. Query your data with any engine, and support all your use cases including BI, real-time analytics, and AI/ML. Cut your costs by 50% or more compared to cloud data warehouses and ETL tools with simple usage-based pricing. Deploy in minutes without engineering overhead with a fully managed, highly optimized cloud service. Unify your data in a single source of truth and eliminate the need to copy data across data warehouses and lakes. Use the right table format for the job, with omnidirectional interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Quickly configure managed pipelines for database CDC and streaming ingestion. -
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Utilihive
Greenbird Integration Technology
Utilihive is a cloud-native big data integration platform, purpose-built for the digital data-driven utility, offered as a managed service (SaaS). Utilihive is the leading Enterprise-iPaaS (iPaaS) that is purpose-built for energy and utility usage scenarios. Utilihive provides both the technical infrastructure platform (connectivity, integration, data ingestion, data lake, API management) and pre-configured integration content or accelerators (connectors, data flows, orchestrations, utility data model, energy data services, monitoring and reporting dashboards) to speed up the delivery of innovative data driven services and simplify operations. Utilities play a vital role towards achieving the Sustainable Development Goals and now have the opportunity to build universal platforms to facilitate the data economy in a new world including renewable energy. Seamless access to data is crucial to accelerate the digital transformation. -
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Coactive
Coactive
Coactive supercharges data-driven businesses. We bring structure to unstructured data and help analysts to make image and video data useful. Bringing unprecedented insights, ease of use, and blistering speeds, we can make machine learning your new superpower. Don't waste your time flipping through photos or scrubbing through videos. With a word or phrase, you can search your content library and refine the taxonomy of your content. Your data is constantly evolving, and Coactive is here to help. Use our API and Python SDKs to understand and monitor your data as it's coming in. Coactive is prioritizing integrity alongside sales in a way that will ultimately benefit both the company and customers. Coactive AI is an industry-leading machine learning platform that enables businesses of all sizes to analyze their unstructured image data in minutes. Our interface is clean, intuitive, and user-friendly, and our platform is blisteringly fast. -
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Augment your cross-channel DLP with AI-powered classification. Proofpoint Intelligent Classification and Protection is an AI-powered approach to classifying your business-critical data. It recommends actions based on risk accelerating your enterprise DLP program. Our Intelligent Classification and Protection solution helps you understand your unstructured data in a fraction of the time required by legacy approaches. It categorizes a sample of your files using a pre-trained AI-model. And it does this across file repositories both in the cloud and on-premises. With our two-dimensional classification, you get the business context and confidentiality level you need to better protect your data in today’s hybrid world.
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Dovetail
Dovetail Research
Analyze data, collaborate on insights, and build your research repository. Discover opportunities and become a hero in your team. Discover patterns across a variety of qualitative research methods, unstructured data, and video files. Dovetail is analysis software you’ll love to use. Dovetail is a powerful way to discover patterns across interviews, usability testing, survey responses, and more. Organize tags into a hierarchy with intuitive controls like drag & drop, and extend your project with global tags. Turn qualitative data into quantitative data with highlights, and visualize your work with a variety of beautiful charts. Simply select text and highlight to add tags. Transcribe video recordings, discover patterns across interviews, usability tests, survey responses, and more. Turn qualitative data into quantitative data. Chart, filter, and segment themes across interview notes, transcripts, survey responses, and more.Starting Price: $29/user/month -
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Cloud Dataprep
Google
Cloud Dataprep by Trifacta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis, reporting, and machine learning. Because Cloud Dataprep is serverless and works at any scale, there is no infrastructure to deploy or manage. Your next ideal data transformation is suggested and predicted with each UI input, so you don’t have to write code. Cloud Dataprep is an integrated partner service operated by Trifacta and based on their industry-leading data preparation solution. Google works closely with Trifacta to provide a seamless user experience that removes the need for up-front software installation, separate licensing costs, or ongoing operational overhead. Cloud Dataprep is fully managed and scales on demand to meet your growing data preparation needs so you can stay focused on analysis. -
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Acodis
Acodis
Intelligent document processing automates the processing of data within documents, contextualizing the document, understanding the information, extracting it, and sending it to the right place. With Acodis, you can do all of this in just a few seconds. The world is full of unstructured data hidden in documents and it will be for a long time to come. That's why we built Acodis so that you can extract data from any document, in any language. Get structured data from any document with machine learning, in seconds. Build and combine document processing workflows with a few clicks, no coding required. Once you capture and automate your document's data, integrate the process into your existing systems. Acodis offers an easy-to-use user interface. This enables your team to automate document-related processes and enables you to make faster decisions based on machine learning. Use the REST client in the programming language that you are using and integrate it with your existing business tools. -
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BigLake
Google
BigLake is a storage engine that unifies data warehouses and lakes by enabling BigQuery and open-source frameworks like Spark to access data with fine-grained access control. BigLake provides accelerated query performance across multi-cloud storage and open formats such as Apache Iceberg. Store a single copy of data with uniform features across data warehouses & lakes. Fine-grained access control and multi-cloud governance over distributed data. Seamless integration with open-source analytics tools and open data formats. Unlock analytics on distributed data regardless of where and how it’s stored, while choosing the best analytics tools, open source or cloud-native over a single copy of data. Fine-grained access control across open source engines like Apache Spark, Presto, and Trino, and open formats such as Parquet. Performant queries over data lakes powered by BigQuery. Integrates with Dataplex to provide management at scale, including logical data organization.Starting Price: $5 per TB -
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Kylo
Teradata
Kylo is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects. Self-service data ingest with data cleansing, validation, and automatic profiling. Wrangle data with visual sql and an interactive transform through a simple user interface. Search and explore data and metadata, view lineage, and profile statistics. Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance. Design batch or streaming pipeline templates in Apache NiFi and register with Kylo to enable user self-service. Organizations can expend significant engineering effort moving data into Hadoop yet struggle to maintain governance and data quality. Kylo dramatically simplifies data ingest by shifting ingest to data owners through a simple guided UI. -
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Upsolver
Upsolver
Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries.
