# Best Data Extraction Tools for Medium-Sized Businesses *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Products classified in the overall Data Extraction category are similar in many regards and help companies of all sizes solve their business problems. However, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized Business Data Extraction to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Medium-Sized Business Data Extraction category. In addition to qualifying for inclusion in the Data Extraction Tools category, to qualify for inclusion in the Medium-Sized Business Data Extraction Tools category, a product must have at least 10 reviews left by a reviewer from a medium-sized business. ## Top Data Extraction Tools at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Apify](https://www.g2.com/products/apify/reviews) | 4.7/5.0 (499 reviews) | Community-actor web scraping with managed infrastructure | "[The most reliable web scraping platform on the cloud](https://www.g2.com/survey_responses/apify-review-12977334)" | | 2 | [Oxylabs](https://www.g2.com/products/oxylabs/reviews) | 4.5/5.0 (421 reviews) | Large-scale web scraping with anti-bot bypass | "[Easy Oxylabs Setup with Helpful Pre-Built Connectors and Auto Updates](https://www.g2.com/survey_responses/oxylabs-review-12787175)" | | 3 | [NetNut.io](https://www.g2.com/products/netnut-io/reviews) | 4.9/5.0 (382 reviews) | ISP-sourced residential proxies for ban-free scraping | "[Effortless Setup and Reliable Performance with NetNut.Io](https://www.g2.com/survey_responses/netnut-io-review-11914177)" | | 4 | [Fivetran](https://www.g2.com/products/fivetran/reviews) | 4.3/5.0 (778 reviews) | No-code SaaS-to-warehouse ELT pipelines | "[Surprisingly Easy Setup, Smooth Warehouse Sync, and Great Performance](https://www.g2.com/survey_responses/fivetran-review-12796484)" | | 5 | [Bright Data](https://www.g2.com/products/bright-data/reviews) | 4.7/5.0 (325 reviews) | Large-scale web data extraction with anti-bot bypass | "[Ethical - web data and proxy platform (GDPR and CCPA)](https://www.g2.com/survey_responses/bright-data-review-11361213)" | | 6 | [Boomi Data Integration](https://www.g2.com/products/boomi-data-integration/reviews) | 4.7/5.0 (120 reviews) | Cross-system ERP and CRM integration automation | "[Boomi Data Integration: Fast, Reliable Integrations at Scale](https://www.g2.com/survey_responses/boomi-data-integration-review-12546768)" | | 7 | [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) | 4.0/5.0 (115 reviews) | Schema-drift-resilient multi-source ETL pipelines | "[Powerful Data Integration With IBM Stream sets.](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909)" | | 8 | [Decodo (formerly Smartproxy)](https://www.g2.com/products/decodo-formerly-smartproxy/reviews) | 4.6/5.0 (610 reviews) | Anti-bot web scraping with rotating residential proxies | "[Decodo Residential Proxies: Fast, Reliable, and Seamlessly Avoids Blocks](https://www.g2.com/survey_responses/decodo-formerly-smartproxy-review-12957073)" | | 9 | [Coupler.io](https://www.g2.com/products/coupler-io/reviews) | 4.8/5.0 (102 reviews) | No-code multi-source ETL with automated reporting | "[Helpful tool for syncing data with Airtable](https://www.g2.com/survey_responses/coupler-io-review-9448658)" | | 10 | [Octoparse](https://www.g2.com/products/octoparse/reviews) | 4.8/5.0 (51 reviews) | No-code web scraping with cloud automation | "[All-in-One Data Scraping Solution](https://www.g2.com/survey_responses/octoparse-review-11000009)" | --- ## What Are the Most Common Questions About Data Extraction Tools? *AI-generated · Last updated: May 26, 2026* ### What data Extraction Services that maintain data accuracy and eliminate restructuring bottlenecks in production workflows? Based on G2 reviews, buyers in this category consistently describe data extraction tools as most effective when they reduce manual cleanup, preserve structured output, and fit into existing production processes. According to verified users, products in this space help teams automate extraction from websites, documents, and operational systems while keeping outputs usable for downstream reporting or workflows. G2 reviewers mention fewer errors, more consistent formatting, and less time spent rebuilding data after ingestion as the main advantages. Reviews also show that implementation success often depends on clear setup flows, stable automation, and support for recurring jobs, while common drawbacks include learning curves, occasional debugging, and cost predictability at higher usage. ### What data Extraction Services platforms used by mid-market companies to automate market pricing and operational data collection? Based on G2 reviews, mid-market teams use data extraction tools to automate pricing checks, competitor monitoring, operational reporting, and recurring data collection from websites, marketplaces, and internal systems. According to verified users, the strongest patterns in this category are time savings, reduced manual exports, and better consistency across reporting cycles. G2 reviewers mention use cases such as competitor price tracking, ecommerce monitoring, warehouse and CRM synchronization, and pulling operational data into dashboards or data warehouses. Reviews also suggest that buyers value tools that are easy to configure without a large engineering team, while still offering enough flexibility for scheduled jobs, structured exports, and integrations with analytics or workflow systems. ### What most trusted Data Extraction Services by data operations managers at computer software and financial services based on user reviews? Based on G2 reviews, trust in this category is usually tied to reliability, structured output, and responsive support rather than broad claims. According to verified users, products that earn confidence from operations-focused teams tend to reduce manual intervention, keep recurring pipelines stable, and make data easier to audit or route into downstream tools. G2 reviewers mention confidence-building themes such as predictable automation, clean exports, easy integrations, and faster troubleshooting when issues arise. In software and finance-related workflows, reviews repeatedly highlight the value of consistent syncing, reduced maintenance burden, and less manual mapping. Buyers also note that support quality and documentation matter significantly when teams manage ongoing data flows across multiple systems. **Here are some of the top-rated products on G2:** - [Apify](https://www.g2.com/products/apify/reviews) – used for repeatable web data extraction, lead research, and structured exports into operational workflows - [Fivetran](https://www.g2.com/products/fivetran/reviews) – used to pull data from many business systems into warehouses with low-maintenance connectors - [Skyvia](https://www.g2.com/products/skyvia/reviews) – used to automate syncing between cloud apps, databases, and reporting environments without heavy scripting ### Which Data Extraction Services prevent costly post-delivery mapping and formatting rework without disrupting existing workflows? Based on G2 reviews, Apify stands out here because reviewers repeatedly describe structured exports, reusable automation, and easier integration into existing workflows without rebuilding everything manually. According to verified users, the platform helps teams collect web data in formats they can send directly into spreadsheets, APIs, CRMs, or internal reporting flows. G2 reviewers mention time savings from ready-made actors, recurring runs, and exports that reduce the need to manually reorganize information after delivery. They also note that it can support lead generation, market research, and monitoring use cases without requiring teams to maintain all the scraping infrastructure themselves. Some reviewers do mention a learning curve and variability across community-built actors. ### What data Extraction Services that deliver organized datasets ready for immediate use without internal restructuring? Based on G2 reviews, buyers value data extraction tools that output structured, analysis-ready data with minimal follow-up work. According to verified users, the most useful products in this category reduce the need for internal reformatting by standardizing records, organizing fields consistently, and supporting exports that fit directly into spreadsheets, warehouses, dashboards, or downstream applications. G2 reviewers mention organized JSON, CSV, and tabular outputs as major time savers, especially when handling recurring workflows, invoices, web data, or lead enrichment. Reviews also show that tools are strongest when they pair extraction with automation or schema handling, though teams may still need some setup effort upfront for complex documents, custom mappings, or less common sources. ### What data Extraction Services that streamline preparation time and improve accuracy for internal audit processes? Based on G2 reviews, products in this category help internal audit and control-oriented teams by reducing manual data gathering and improving consistency before review begins. According to verified users, the biggest benefits are faster preparation, fewer copy-paste errors, and more dependable structured records for reconciliation, reporting, and exception analysis. G2 reviewers mention use cases such as invoice extraction, financial document processing, scheduled data loads, and pulling operational or accounting records into spreadsheets and warehouses. Reviews suggest that teams gain the most when tools provide standardized outputs and recurring automation, since that reduces last-minute cleanup. Common friction points are setup refinement for complex templates, occasional troubleshooting, and the need for clearer guidance on advanced configurations. ### What data Extraction Services with low iteration cycles and minimal setup adjustment requirements for audit workflows? Based on G2 reviews, low-iteration tools are usually described as products that work reliably once configured and need limited maintenance during recurring audit or reporting cycles. According to verified users, that means fewer repeated adjustments to mappings, cleaner outputs on every run, and less back-and-forth between teams to fix exceptions. G2 reviewers mention stable scheduled syncs, reusable templates, and straightforward imports as the biggest contributors to smoother workflows. In audit-related scenarios, buyers appear to prefer platforms that can repeatedly deliver the same structure from financial records, system exports, or operational documents. Reviews also suggest that strong support and clear error visibility matter, because even reliable tools still need occasional intervention when source formats change. ### Which Data Extraction Services vendors support consistent, clean data formatting across custom classification systems? Based on G2 reviews, Skyvia is the strongest fit for this question because users repeatedly describe it as a practical way to centralize data from different systems and standardize it for reporting, warehousing, and recurring business workflows. According to verified users, it helps teams connect cloud apps and databases, automate scheduled syncs, and reduce manual formatting work that often creates inconsistency between systems. G2 reviewers mention using it to prepare cleaner datasets for analytics, dashboards, CRM workflows, and internal decision-making. Reviews also highlight that teams appreciate the no-code setup and broad connector coverage, although some users note that documentation, advanced mapping, and error messaging can still be improved for more complex scenarios. ### What highest rated Data Extraction Services for companies needing structured, audit-ready datasets delivered with minimal iteration? Based on G2 reviews, highly rated data extraction tools in this category tend to be the ones that deliver structured outputs consistently and reduce repeated cleanup or remapping. According to verified users, the strongest products support audit-ready workflows by standardizing incoming records, automating recurring extraction jobs, and preserving usable formats for accounting, reporting, or operational review. G2 reviewers mention invoice extraction, warehouse syncs, web data collection, and internal reporting pipelines as common use cases where minimal iteration matters. Reviews also show that buyers care about dependable support and clear validation when handling sensitive datasets. Ease of setup is important, but long-term reliability and consistency appear to matter more for teams with recurring audit or compliance needs. **Here are some of the top-rated products on G2:** - [Apify](https://www.g2.com/products/apify/reviews) – used to automate repeatable data collection with structured exports for research, monitoring, and operational workflows - [Fivetran](https://www.g2.com/products/fivetran/reviews) – used to sync source-system data into warehouses for consistent reporting and reduced manual ETL work - [Skyvia](https://www.g2.com/products/skyvia/reviews) – used to centralize cloud and database data into standardized reporting pipelines with scheduled syncs ### Which Data Extraction Services reduce manual data mapping and integration overhead for finance and operations teams? Based on G2 reviews, Fivetran is the strongest match for this question because reviewers frequently describe it as a low-maintenance way to move data from many business systems into a warehouse without building and maintaining custom connectors. According to verified users, finance and operations teams benefit from easier setup, automated syncing, and schema handling that reduces repetitive ETL work. G2 reviewers mention pulling data from SaaS systems, CRMs, accounting tools, and vendor platforms into centralized environments for reporting and analysis. Reviews also note that the product helps smaller teams avoid dedicating engineering resources to constant pipeline upkeep. The most common concern is pricing predictability as data volume grows, especially at scale. ## How Many Data Extraction Tools Products Does G2 Track? **Total Products under this Category:** 278 ### Category Stats (Jun 2026) - **Average Rating**: 4.56/5 The average rating of products in this category, based on all submitted ratings - **New Reviews This Quarter**: 368 - **Buyer Segments**: Small-Business 71% │ Mid-Market 22% │ Enterprise 7% Represents the distribution of reviewers across all products in this category. - **Top Trending Product**: HasData (+5.56%) - Among all products in this category, HasData recorded the largest rating increase compared to last month *Last updated: June 18, 2026* ## How Does G2 Rank Data Extraction Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 7,200+ Authentic Reviews - 278+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. 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[Fivetran](https://www.g2.com/products/fivetran/reviews) Shaped by the real-world needs of data analysts, Fivetran technology is the smartest, fastest way to replicate your applications, databases, events and files into a high-performance cloud warehouse. Fivetran connectors deploy in minutes, require zero maintenance, and automatically adjust to source changes — so your data team can stop worrying about engineering and focus on driving insights. **Average Rating:** 4.3/5.0 **Total Reviews:** 778 **How Do G2 Users Rate Fivetran?** - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.2/10) - **Consolidation:** 8.4/10 (Category avg: 8.9/10) - **Data Structuring:** 8.5/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 8.4/10 (Category avg: 8.8/10) **Who Is the Company Behind Fivetran?** - **Seller:** [Fivetran](https://www.g2.com/sellers/fivetran) - **Company Website:** https://www.fivetran.com/ - **Year Founded:** 2012 - **HQ Location:** Oakland, CA - **Twitter:** @fivetran (5,761 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/fivetran/ (1,848 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 59% Mid-Market, 28% Small-Business #### What Are Fivetran's Pros and Cons? **Pros:** - Ease of Use (187 reviews) - Easy Setup (74 reviews) - Easy Integration (73 reviews) - Customer Support (62 reviews) - User Interface (59 reviews) **Cons:** - Sync Issues (60 reviews) - Expensive (36 reviews) - Integration Issues (28 reviews) - Learning Curve (27 reviews) - Pricing Issues (24 reviews) ### 2. [NetNut.io](https://www.g2.com/products/netnut-io/reviews) NetNut is a full stack web data provider helping companies and businesses effectively manage their online activities while maintaining anonymity and security. With over 85 million residential IP addresses sourced directly from Internet Service Providers (ISPs), NetNut provides a robust platform for users looking to bypass geo-restrictions, conduct web scraping, and gather data without the risk of being banned. The target audience for NetNut primarily includes businesses engaged in market research, SEO tracking, and data harvesting. These users require reliable and fast access to a wide range of online resources, often facing challenges with traditional proxy services that can lead to slow speeds or high failure rates. By leveraging a network of residential IPs, NetNut ensures that users can navigate the web seamlessly, accessing content that may otherwise be restricted based on geographic location. Key features of NetNut include its extensive pool of residential IPs, which allows for worldwide targeting and specific US city-state selection. The network is designed for speed, offering one-hop connectivity to ISPs that results in faster proxy speeds and virtually zero fail rates. This is particularly beneficial for businesses that rely on real-time data collection and analysis. Additionally, NetNut provides both static and rotating residential IPs, ensuring that users can choose the configuration that best suits their needs. NetNut stands out in the market due to its hybrid P2P network, which enhances scalability and performance. This unique architecture allows for dedicated proxy pools, ensuring that users have consistent access to the resources they need. The service also includes a dedicated account manager to assist users in optimizing their proxy usage, along with easy integration options such as API access and a Chrome extension. These features collectively enhance the user experience, making it easier for businesses to implement and manage their proxy solutions effectively. Overall, NetNut offers a comprehensive residential proxy service that caters to the specific needs of businesses looking to enhance their online operations. With competitive pricing plans and a commitment to customer support, it provides a valuable resource for organizations aiming to navigate the complexities of the digital landscape without compromising on speed or reliability. **Average Rating:** 4.9/5.0 **Total Reviews:** 382 **How Do G2 Users Rate NetNut.io?** - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.2/10) - **Consolidation:** 9.4/10 (Category avg: 8.9/10) - **Data Structuring:** 9.5/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 9.6/10 (Category avg: 8.8/10) **Who Is the Company Behind NetNut.io?** - **Seller:** [NetNut](https://www.g2.com/sellers/netnut) - **Company Website:** https://netnut.io - **Year Founded:** 2017 - **HQ Location:** Tel Aviv, Israel - **Twitter:** @netnut_io (460 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/netnut/ (131 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Sales Development Representative, Virtual Assistant - **Top Industries:** Information Technology and Services, Marketing and Advertising - **Company Size:** 64% Small-Business, 30% Mid-Market #### What Are NetNut.io's Pros and Cons? **Pros:** - Reliability (133 reviews) - Performance (130 reviews) - Proxies (109 reviews) - IP Quality (103 reviews) - Speed (83 reviews) **Cons:** - Proxy Issues (41 reviews) - UX Improvement (36 reviews) - Dashboard Issues (35 reviews) - Pricing Issues (34 reviews) - Learning Difficulty (23 reviews) ### 3. [Apify](https://www.g2.com/products/apify/reviews) Apify is a full-stack web scraping and automation platform that helps anyone get value from the web. At its core is Apify Store, a marketplace where developers build, publish, and monetize automation tools called Actors. Actors are serverless cloud programs that extract data, automate web tasks, and run AI agents. Developers build them using JavaScript, Python, or tools like Crawlee, Apify's open-source web scraping library. Build an Actor once, publish it to Store, and earn when others use it. Thousands of developers already do this - Apify handles all the infrastructure, billing, and monthly payouts. For everyone else, Apify means never building from scratch. Apify Store features 15,000+ ready-made Actors for extracting Amazon product data, scraping Google Maps listings, monitoring competitor prices, pulling social media content, generating leads, and hundreds of other use cases. Configure the Actor you need, run it, and get your data. Behind the scenes, Actors handle proxy rotation, CAPTCHA bypassing, JavaScript rendering, headless browsers, scaling, storage, and scheduling. Everything runs on Apify's cloud infrastructure with 99.95% uptime. The platform is SOC 2 Type II, GDPR, and CCPA compliant, trusted by companies and organizations such as Intercom and the European Commission. Run Actors through Apify Console, integrate them with Zapier and Make, or connect them to AI frameworks like LangChain and Hugging Face to feed LLMs and vector databases. Apify also provides an MCP server that lets AIs like Claude discover and use Actors as tools dynamically. This means an AI agent can ask "find the top 10 Indian restaurants in San Francisco" and automatically use the right Actor to scrape Google Maps for that data. Use cases include competitive intelligence for tracking prices across e-commerce, lead generation for extracting and enriching business contacts, market research to gather reviews and social media sentiment. You can monitor SEO to track rankings and backlinks, and AI training to crawl websites for LLM context. If there's data on the web, there's probably an Actor for it. Apify has residential and datacenter proxies, browser automation with Puppeteer and Playwright, automatic retries, error handling, monitoring dashboards, and APIs for integration. Schedule runs to keep data continuously updated. Export to JSON, CSV, Excel, Google Sheets, databases, or push directly into your workflows. Beyond Apify Store, the Professional Services team builds and maintains custom solutions. Enterprise customers get dedicated data experts, custom integrations, and long-term project maintenance. Start on the free tier with $5 in prepaid monthly platform usage. Paid plans scale based on compute power, storage, and proxy usage (see: https://apify.com/pricing). **Average Rating:** 4.7/5.0 **Total Reviews:** 499 **How Do G2 Users Rate Apify?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.2/10) - **Consolidation:** 8.9/10 (Category avg: 8.9/10) - **Data Structuring:** 9.1/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 9.2/10 (Category avg: 8.8/10) **Who Is the Company Behind Apify?** - **Seller:** [Apify](https://www.g2.com/sellers/apify) - **Company Website:** https://apify.com/ - **Year Founded:** 2015 - **HQ Location:** Praha, CZ - **Twitter:** @apify (8,400 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10608457/ (240 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Founder, CEO - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 82% Small-Business, 9% Mid-Market #### What Are Apify's Pros and Cons? **Pros:** - Ease of Use (184 reviews) - Features (113 reviews) - Scraping Efficiency (113 reviews) - Automation (109 reviews) - Easy Integrations (79 reviews) **Cons:** - Pricing Issues (88 reviews) - Expensive (87 reviews) - Learning Difficulty (58 reviews) - Learning Curve (51 reviews) - Steep Learning Curve (31 reviews) ### 4. [Skyvia](https://www.g2.com/products/skyvia/reviews) Skyvia is a no-code cloud data integration and data pipeline platform that enables ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, real-time connectivity, and much more. Benefits of Using Skyvia: • Cost efficiency: With affordable, flexible pricing plans for each product, Skyvia suites for businesses of any size. • Ease of Use: Based on extensive customer feedback, ease of use is Skyvia's strongest quality. • Flexibility: Skyvia provides adaptable, no-code integration tools for both basic and advanced business scenarios. • Trust: Skyvia is trusted by thousands of data-driven organizations around the globe. With a vast library of 200+ connectors, Skyvia provides seamless integration among various cloud applications, databases, and data warehouses, including Salesforce, Dynamics CRM, QuickBooks Online, SQL Server, Amazon Redshift, Google BigQuery, and others. **Average Rating:** 4.8/5.0 **Total Reviews:** 320 **How Do G2 Users Rate Skyvia?** - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 9.2/10) - **Consolidation:** 9.2/10 (Category avg: 8.9/10) - **Data Structuring:** 9.0/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 9.1/10 (Category avg: 8.8/10) **Who Is the Company Behind Skyvia?** - **Seller:** [Devart](https://www.g2.com/sellers/devart) - **Year Founded:** 1997 - **HQ Location:** Wilmington, Delaware, USA - **Twitter:** @DevartSoftware (1,738 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/800325/ (252 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** CEO, CTO - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 52% Small-Business, 42% Mid-Market #### What Are Skyvia's Pros and Cons? **Pros:** - Ease of Use (50 reviews) - Easy Integrations (34 reviews) - Easy Setup (33 reviews) - Setup Ease (31 reviews) - Data Management (27 reviews) **Cons:** - Information Deficiency (8 reviews) - Difficult Setup (7 reviews) - Feature Limitations (7 reviews) - Learning Curve (7 reviews) - Poor Documentation (7 reviews) ### 5. [Adverity](https://www.g2.com/products/adverity/reviews) Centralized Data Management for the Modern Marketer Adverity is the marketing intelligence platform that empowers agencies and enterprises to transform complex data into confident, AI-powered decisions. Through automated connectivity to 600+ data sources and destinations, unrivalled data transformation capabilities, powerful data governance, and built-in agentic and conversational AI for streamlined data access and insight activation, Adverity enables smarter, faster decision-making. Adverity is used by leading brands and agencies including Unilever, Bosch, IKEA, Barilla, Forbes, GroupM, Publicis, Dentsu, and more. **Average Rating:** 4.4/5.0 **Total Reviews:** 307 **How Do G2 Users Rate Adverity?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.2/10) - **Consolidation:** 8.4/10 (Category avg: 8.9/10) - **Data Structuring:** 8.5/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 7.7/10 (Category avg: 8.8/10) **Who Is the Company Behind Adverity?** - **Seller:** [Adverity GmbH](https://www.g2.com/sellers/adverity-gmbh) - **Company Website:** https://www.adverity.com - **Year Founded:** 2015 - **HQ Location:** Vienna, Austria - **Twitter:** @myadverity (1,756 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/5340622/ (312 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Data Engineer - **Top Industries:** Marketing and Advertising, Information Technology and Services - **Company Size:** 43% Mid-Market, 38% Small-Business #### What Are Adverity's Pros and Cons? **Pros:** - Ease of Use (16 reviews) - Integrations (11 reviews) - Data Management (10 reviews) - Easy Integrations (10 reviews) - User Interface (10 reviews) **Cons:** - Time-Consuming (7 reviews) - Complex Setup (4 reviews) - Data Management (4 reviews) - Difficult Learning (4 reviews) - Limited Customization (4 reviews) ### 6. [Coefficient](https://www.g2.com/products/coefficient/reviews) Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets. **Average Rating:** 4.7/5.0 **Total Reviews:** 188 **How Do G2 Users Rate Coefficient?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.2/10) - **Consolidation:** 8.7/10 (Category avg: 8.9/10) - **Data Structuring:** 8.2/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 8.0/10 (Category avg: 8.8/10) **Who Is the Company Behind Coefficient?** - **Seller:** [Coefficient](https://www.g2.com/sellers/coefficient) - **Company Website:** https://coefficient.io/ - **Year Founded:** 2020 - **HQ Location:** Palo Alto, CA - **Twitter:** @coefficient_io (345 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/coefficientworks/ (71 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 47% Mid-Market, 36% Small-Business #### What Are Coefficient's Pros and Cons? **Pros:** - Ease of Use (72 reviews) - Automation (42 reviews) - Integrations (42 reviews) - Time-saving (36 reviews) - Easy Integrations (31 reviews) **Cons:** - Limited Features (18 reviews) - Feature Limitations (17 reviews) - Limitations (13 reviews) - Missing Features (12 reviews) - Integration Issues (11 reviews) ### 7. [Bright Data](https://www.g2.com/products/bright-data/reviews) Bright Data is a web data infrastructure platform that helps organizations access, extract, structure, and deliver public web data for AI, BI, analytics, automation, and research. The platform is used by AI teams, developers, data teams, enterprises, researchers, and business users to build reliable public web data workflows at scale. Bright Data supports a wide range of web data collection and delivery workflows, from self-service web scraping to fully automated cloud data pipelines. Teams use Bright Data to collect structured data from public websites, power AI models and LLM applications, monitor markets, enrich business intelligence systems, track search results, analyze eCommerce and travel data, support financial research, and automate competitive intelligence. The Bright Data platform includes Web Access APIs, Scraper APIs, Scraper Studio, ready-to-use datasets, real-time data feeds, MCP, CLI, Browser API, SERP API, and managed data acquisition. These capabilities help users access complex public websites, extract structured data, automate collection workflows, deliver data to cloud storage or internal systems, and reduce the need to build and maintain data collection infrastructure in-house. Scraper Studio is Bright Data’s AI-powered cloud workspace for building, testing, and managing web data workflows. It helps users create extraction workflows with natural language prompts, reusable templates, and cloud execution. Developers can use Bright Data’s CLI and APIs to build, deploy, and manage data workflows from their existing development environments. Bright Data MCP enables AI assistants and agents to connect to the public web through Bright Data’s web data infrastructure. This supports agentic web access, including search, browsing, extraction, retrieval, LLM grounding, research automation, and AI-powered data operations. For AI teams, Bright Data provides AI-ready datasets, public web data feeds, retrieval workflows, and multimodal data capabilities. Bright Data also supports real-world video data infrastructure for VLA, robotics, autonomous systems, and world-model training pipelines. Common use cases include AI training and grounding, business intelligence, market research, eCommerce analytics, price monitoring, travel intelligence, SERP tracking, brand protection, ad verification, financial data collection, academic research, and competitive intelligence. Bright Data is built for high-volume, production-scale data operations. The platform provides cloud-based execution, global web access infrastructure, automated delivery options, enterprise support, governance controls, and compliance-focused processes. Bright Data aligns its operations with standards including GDPR, CCPA, SOC 2, and ISO 27001. Bright Data is trusted by more than 25,000 organizations worldwide and is designed for teams that need reliable, scalable, and responsible access to public web data. **Average Rating:** 4.7/5.0 **Total Reviews:** 325 **How Do G2 Users Rate Bright Data?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.2/10) - **Consolidation:** 8.7/10 (Category avg: 8.9/10) - **Data Structuring:** 8.9/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 8.5/10 (Category avg: 8.8/10) **Who Is the Company Behind Bright Data?** - **Seller:** [bright data](https://www.g2.com/sellers/bright-data) - **Company Website:** https://brightdata.com/ - **Year Founded:** 2014 - **HQ Location:** Greater Tel Aviv, IL - **LinkedIn® Page:** https://www.linkedin.com/company/bright-data/ (366 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** CEO, Data Scientist - **Top Industries:** Information Technology and Services, Research - **Company Size:** 60% Small-Business, 20% Mid-Market #### What Are Bright Data's Pros and Cons? **Pros:** - Customer Support (51 reviews) - Ease of Use (45 reviews) - Helpful (40 reviews) - Data Collection (37 reviews) - Response Time (29 reviews) **Cons:** - Limitations (13 reviews) - Expensive (8 reviews) - Learning Difficulty (8 reviews) - Pricing Issues (8 reviews) - Difficult Learning (7 reviews) ### 8. [Boomi Data Integration](https://www.g2.com/products/boomi-data-integration/reviews) Rivery's SaaS platform provides a unified solution for ELT pipelines, workflow orchestration, and data operations. Achieve more with less and create the most efficient, scalable data stack for your organization. Some of Rivery's features and capabilities: - Completely Automated SaaS Platform: Get setup and start connecting data in the Rivery platform in just a few minutes with little to no maintenance required. - Unified Data Ingestion, Transformation, & Orchestration: 100% data source capability, insight-ready data with both SQL and Python transformations, and complete workflow automation. - 200+ Native Connectors: Instantly connect to applications, databases, file storage options, and data warehouses with our fully-managed and always up-to-date connectors, including BigQuery, Redshift, Shopify, Snowflake, Amazon S3, Firebolt, Databricks, Salesforce, MySQL, PostgreSQL, and Rest API to name just a few. - Python Support: Have a data source that requires custom code? With Rivery’s native Python support, you can pull data from any system, no matter how complex the need. - Change Data Capture/Data Replication: Rivery’s best-in-class CDC support provides an easy, reliable and fast solution for replicating data from a database to your data warehouse. - 1-Click Data Apps: With Rivery Kits, deploy complete, production-level workflow templates in minutes with data models, pipelines, transformations, table schemas, and orchestration logic already defined for you based on best practices. - Data Development Lifecycle Support: Separate walled-off environments for each stage of your development, from dev and staging to production, making it easier to move fast without breaking things. Get version control, API, & CLI included. - Data Operations: With Rivery, you get centralized logging & reporting, monitoring & alerts, and data quality as part of a robust data operations layer for your data pipelines. - Solution-Led Support: Consistently rated the best support by G2, receive engineering-led assistance from Rivery to facilitate all your data needs. - Data Security: Industry-leading security and enterprise-grade privacy standards are built into Rivery’s network, product, and policies. **Average Rating:** 4.7/5.0 **Total Reviews:** 120 **How Do G2 Users Rate Boomi Data Integration?** - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.2/10) - **Consolidation:** 9.2/10 (Category avg: 8.9/10) - **Data Structuring:** 9.5/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 9.3/10 (Category avg: 8.8/10) **Who Is the Company Behind Boomi Data Integration?** - **Seller:** [Boomi](https://www.g2.com/sellers/boomi) - **Year Founded:** 2000 - **HQ Location:** Conshohocken, PA - **Twitter:** @boomi (101,032 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/boomi-inc/ (3,024 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Mid-Market, 36% Small-Business #### What Are Boomi Data Integration's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Customer Support (4 reviews) - Data Management (4 reviews) - Automation (3 reviews) - Implementation Ease (3 reviews) **Cons:** - Data Limitations (1 reviews) - Information Deficiency (1 reviews) - Insufficient Information (1 reviews) - Lacking Features (1 reviews) - Limited Features (1 reviews) ### 9. [Keboola](https://www.g2.com/products/keboola/reviews) Keboola is the unified AI & Data orchestration platform that empowers organizations to turn data into business value faster and more securely than ever. It acts as your agentic AI co-pilot for data workflows, automating everything from integration to insight. With Keboola, Engineering teams, digital natives, startup CTOs, and innovation leads alike can rapidly build and manage data products, applications, AI agents, and autonomous crews seamlessly—without sacrificing compliance or security. Built for Every Data Persona: Whether you’re a seasoned data engineer or a business analyst, Keboola is built to make you successful. Data engineers love the open extensibility – code in SQL, Python, R, or use our API/CLI to tailor any step. Analysts and non-coders love the self-service UI – point-and-click data pipeline assembly, drag-and-drop transformations with text to SQL on semantic layer, and one-click deployment of pre-built workflows. Collaboration is seamless, with shared workspaces and sandboxes that let teams build and share data products freely without affecting production. What sets us apart? With Keboola, you can build and manage data products, applications, AI agents, and autonomous crews seamlessly—without sacrificing compliance or security. 🔗 Unified Connectivity: Effortlessly connect to 700+ data sources (databases, SaaS apps, and APIs) .Real-time Streams, Change Data Capture or batch. 🤖 Agentic AI Orchestration: Keboola’s AI-driven engine orchestrates data pipelines and ML workflows automatically. It can trigger the next steps based on data events or quality checks, and dynamically allocate resources. Think of it as an autopilot for your data & AI, ensuring pipelines run optimally and recover on their own from hiccups. 🛡️ Built-in Governance & Security: Every dataset and process in Keboola is governed. Fine-grained access controls, lineage tracking, and audit logs are native to the platform. Compliance is simplified – SOC 2, GDPR, and industry standards are supported out-of-the-box. 🚀 Rapid Development & Prototyping: Innovate without constraints. Spin up isolated dev/test sandboxes in seconds to prototype new data products or AI models. 🌎 Multi-Cloud Scalability: Built on a cloud-native architecture, Keboola scales with your needs. Deploy on your preferred cloud (AWS, Azure, GCP) and let Keboola handle the heavy lifting – elastic compute, parallel processing, and workload optimization. Start small and scale to enterprise workloads globally, without re-architecting. 💡 End-to-End Insight Activation: Because Keboola unifies your data pipelines, analytics, and ML, you can go from raw data to AI-driven insights in record time. Why Keboola: Instead of cobbling together multiple tools for integration, ETL/ELT, data catalogs, automation, and AI, Keboola delivers a single platform that does it all – with unprecedented ease and intelligence. Our customers have replaced 5-10 disparate tools with Keboola’s unified solution, drastically accelerating delivery. Join 30,000+ companies and industry leaders who use Keboola to supercharge their data teams. Whether you need to deliver data to AI Agents, streamline a complex data estate, or build and share data products to business, Keboola’s AI orchestration platform adapts to your needs – freeing you to focus on innovation and business growth. **Average Rating:** 4.6/5.0 **Total Reviews:** 133 **How Do G2 Users Rate Keboola?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.2/10) - **Consolidation:** 8.8/10 (Category avg: 8.9/10) - **Data Structuring:** 8.5/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 8.7/10 (Category avg: 8.8/10) **Who Is the Company Behind Keboola?** - **Seller:** [Keboola](https://www.g2.com/sellers/keboola) - **Company Website:** https://www.keboola.com - **Year Founded:** 2008 - **HQ Location:** Prague - **Twitter:** @keboola (2,006 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/keboola/ (97 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Data Engineer - **Top Industries:** Information Technology and Services, Marketing and Advertising - **Company Size:** 64% Mid-Market, 21% Small-Business #### What Are Keboola's Pros and Cons? **Pros:** - Ease of Use (35 reviews) - Features (27 reviews) - Data Management (26 reviews) - Integrations (26 reviews) - Customer Support (25 reviews) **Cons:** - Learning Curve (14 reviews) - Complexity (13 reviews) - Steep Learning Curve (11 reviews) - Data Management (9 reviews) - UX Improvement (9 reviews) ### 10. [Oxylabs](https://www.g2.com/products/oxylabs/reviews) Oxylabs is a web intelligence collection platform trusted by 15,000+ partners worldwide, including dozens of Fortune Global 500 companies, academia, and researchers. Oxylabs offers products for web data collection at scale, including proxy services, scraping and data solutions for AI. With over 177 million IPs covering 195 countries, they have one of the most reliable proxy infrastructures in the market. Their products play a vital role in various industries, such as E-Commerce, AI development, Cybersecurity, Brand protection, Travel & Hospitality, and more. Oxylabs highlights a developer-friendly approach and provides ready-to-use code examples and integration guides, multiple programming language support, and active community platforms on Discord, YouTube, and GitHub. They provide extensive documentation, video content, lessons 'Scraping Experts', and additionally they host live webinars, and a yearly conference - OxyCon. **Average Rating:** 4.5/5.0 **Total Reviews:** 421 **How Do G2 Users Rate Oxylabs?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.2/10) - **Consolidation:** 8.0/10 (Category avg: 8.9/10) - **Data Structuring:** 7.9/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 8.2/10 (Category avg: 8.8/10) **Who Is the Company Behind Oxylabs?** - **Seller:** [Oxylabs](https://www.g2.com/sellers/oxylabs) - **Company Website:** https://oxylabs.io/ - **Year Founded:** 2015 - **HQ Location:** Vilnius, Lithuania - **LinkedIn® Page:** https://www.linkedin.com/company/oxylabs-io/ (481 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** CEO, CTO - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 59% Small-Business, 12% Mid-Market #### What Are Oxylabs's Pros and Cons? **Pros:** - IP Quality (127 reviews) - Setup Ease (121 reviews) - Ease of Use (120 reviews) - Performance (108 reviews) - Customer Support (88 reviews) **Cons:** - Pricing Issues (95 reviews) - Expensive (65 reviews) - Proxy Issues (35 reviews) - Complex Setup (26 reviews) - Learning Difficulty (20 reviews) ### 11. [Coupler.io](https://www.g2.com/products/coupler-io/reviews) Coupler.io is a no-code data integration platform that provides instant access to 400+ sources and a world of insights — all in one place. It allows you to collect data from various cloud sources, transform it, and load it into spreadsheets, BI tools, data warehouses, and AI agents. No complex setup or deep technical expertise required. Trusted by 1M+ users, including companies like Uber, Netflix, and Airbus, Coupler.io streamlines data processes for marketers, data analysts, business owners, sales teams, e-commerce businesses, and financial professionals. With 1800+ ready-made integrations, Coupler.io allows you to automatically collect data from Google Analytics, Facebook Ads, GoHighLevel, Shopify, QuickBooks, and many other apps. You can blend data from multiple sources into Google Sheets, Looker Studio, Power BI, BigQuery, Claude, ChatGPT, and other destinations. Coupler.io makes data transformation easy with data joining and appending functions, filtering, formulas, and data set templates. To quick-start with reporting, explore Coupler.io's in-app dashboards and free dashboard templates gallery for third-party tools. You can also build custom dashboards from scratch. AI Insights interprets dashboards in seconds, highlighting trends and anomalies and providing actionable recommendations. Coupler.io's AI integrations enable real-time analysis of large, blended data through natural language conversations in AI chats. These allow businesses to make data-driven decisions, scale operations, and improve reporting efficiency. Coupler.io is a SOC 2-certified, reliable platform that follows the highest data security and privacy standards to keep your data protected. Take full control of your data, identify what works, and scale it with Coupler.io for holistic data management and analysis! **Average Rating:** 4.8/5.0 **Total Reviews:** 102 **How Do G2 Users Rate Coupler.io?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.2/10) - **Consolidation:** 9.5/10 (Category avg: 8.9/10) - **Data Structuring:** 9.2/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 9.4/10 (Category avg: 8.8/10) **Who Is the Company Behind Coupler.io?** - **Seller:** [Railsware](https://www.g2.com/sellers/railsware) - **Year Founded:** 2007 - **HQ Location:** Kraków - **Twitter:** @railsware (2,116 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/122084/ (180 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Non-Profit Organization Management, Marketing and Advertising - **Company Size:** 67% Small-Business, 28% Mid-Market #### What Are Coupler.io's Pros and Cons? **Pros:** - Ease of Use (20 reviews) - Time-Saving (19 reviews) - Automation (18 reviews) - Integrations (15 reviews) - Data Integration (14 reviews) **Cons:** - Difficult Setup (5 reviews) - Complex Setup (4 reviews) - Learning Curve (4 reviews) - Expensive (3 reviews) - Lack of Information (3 reviews) ### 12. [Matia](https://www.g2.com/products/matia/reviews) Matia is a data operations platform that enables modern data teams to build, manage, and monitor end-to-end data pipelines in one place. Matia allows data teams to spend time managing their data, instead of their tools. Matia combines ingestion, reverse ETL, data cataloging, and observability into a single, unified interface. Rather than stitching together multiple tools for data movement, observability, and metadata tracking, teams use Matia to streamline their workflow, reduce vendor bloat, and improve data trust across the organization. Common use cases include syncing operational data into warehouse destinations, monitoring pipeline health with built-in alerts, documenting data assets automatically, and aligning data delivery with business-critical SLAs. Teams adopt Matia to simplify their stack, reduce engineering overhead, and create more transparent, reliable data infrastructure. **Average Rating:** 4.9/5.0 **Total Reviews:** 32 **How Do G2 Users Rate Matia?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.2/10) - **Consolidation:** 9.5/10 (Category avg: 8.9/10) - **Data Structuring:** 9.6/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 8.7/10 (Category avg: 8.8/10) **Who Is the Company Behind Matia?** - **Seller:** [Matia](https://www.g2.com/sellers/matia) - **Company Website:** https://www.matia.io - **Year Founded:** 2023 - **HQ Location:** Miami, US - **LinkedIn® Page:** http://linkedin.com/company/matia-data (54 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Computer Software - **Company Size:** 59% Mid-Market, 25% Small-Business #### What Are Matia's Pros and Cons? **Pros:** - Customer Support (20 reviews) - Ease of Use (15 reviews) - Features (14 reviews) - Implementation Ease (10 reviews) - Easy Integrations (9 reviews) **Cons:** - Limited Connectors (4 reviews) - Not User-Friendly (3 reviews) - Poor UI (3 reviews) - Limited Features (2 reviews) - Limited Integration (2 reviews) ### 13. [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization. It integrates with IBM’s broader data integration capabilities, enabling reliable pipelines that unify multiple data integration patterns, underpinned by data observability capabilities for continuous data quality monitoring and remediation. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, data science, smart applications, and hybrid integration. **Average Rating:** 4.0/5.0 **Total Reviews:** 115 **How Do G2 Users Rate IBM StreamSets?** - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.2/10) - **Consolidation:** 7.9/10 (Category avg: 8.9/10) - **Data Structuring:** 7.6/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 7.7/10 (Category avg: 8.8/10) **Who Is the Company Behind IBM StreamSets?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,679 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Enterprise, 33% Mid-Market #### What Are IBM StreamSets's Pros and Cons? **Pros:** - Ease of Use (30 reviews) - User Interface (16 reviews) - Data Management (15 reviews) - Data Pipelining (15 reviews) - Integrations (14 reviews) **Cons:** - Learning Curve (13 reviews) - Expensive (10 reviews) - Learning Difficulty (8 reviews) - Slow Performance (8 reviews) - Steep Learning Curve (8 reviews) ### 14. [Zyte](https://www.g2.com/products/zyte/reviews) Zyte is a web scraping API and managed web data extraction service for reliably accessing and extracting data from the web at scale. Zyte API provides automatic unblocking, managed browser infrastructure, and high-performance extraction endpoints for building and scaling web crawlers. Zyte API Enterprise adds volume-based pricing and direct access to Zyte experts for mission-critical use cases. For fully managed needs, Zyte Data Services delivers compliant, production-ready data feeds with enterprise-grade support and SLAs. **Average Rating:** 4.3/5.0 **Total Reviews:** 112 **How Do G2 Users Rate Zyte?** - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.2/10) - **Consolidation:** 7.6/10 (Category avg: 8.9/10) - **Data Structuring:** 7.8/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 8.2/10 (Category avg: 8.8/10) **Who Is the Company Behind Zyte?** - **Seller:** [Zyte](https://www.g2.com/sellers/zyte) - **Company Website:** https://www.zyte.com - **Year Founded:** 2010 - **HQ Location:** Ballincollig, IE - **Twitter:** @zytedata (4,034 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2450827/ (235 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 59% Small-Business, 25% Mid-Market #### What Are Zyte's Pros and Cons? **Pros:** - Ease of Use (24 reviews) - Web Scraping (19 reviews) - Customer Support (17 reviews) - Reliability (17 reviews) - Scraping Efficiency (16 reviews) **Cons:** - Pricing Issues (19 reviews) - Expensive (7 reviews) - Learning Curve (6 reviews) - Learning Difficulty (6 reviews) - UX Improvement (6 reviews) ### 15. [Hevo Data](https://www.g2.com/products/hevo-data/reviews) Hevo is a no-code ELT platform built on three principles – simplicity, reliability, and transparency. Connect your sources to leading data warehouses in 5 minutes with no engineering effort required. Automated scaling, fault-tolerant pipelines, transparent pricing, and complete end-to-end visibility ensure your data stays accurate and pipelines remain consistent. Trusted by over 2,000 data teams in 45+ countries, Hevo enables businesses of all sizes to centralize their data without writing a single line of code. An intuitive interface guides teams through a four-step setup process, making it easy to get pipelines running and data flowing accurately. **Average Rating:** 4.4/5.0 **Total Reviews:** 278 **How Do G2 Users Rate Hevo Data?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.2/10) - **Consolidation:** 8.3/10 (Category avg: 8.9/10) - **Data Structuring:** 8.4/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 8.3/10 (Category avg: 8.8/10) **Who Is the Company Behind Hevo Data?** - **Seller:** [Hevo Data](https://www.g2.com/sellers/hevo-data) - **Company Website:** https://hevodata.com/ - **Year Founded:** 2017 - **HQ Location:** San Francisco, California - **Twitter:** @HevoData (830 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/13296733/ (231 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Computer Software, Financial Services - **Company Size:** 48% Mid-Market, 40% Small-Business #### What Are Hevo Data's Pros and Cons? **Pros:** - Ease of Use (33 reviews) - Customer Support (23 reviews) - Easy Integrations (21 reviews) - Easy Setup (17 reviews) - No-coding (15 reviews) **Cons:** - Expensive (12 reviews) - Pricing Issues (11 reviews) - Limited Customization (10 reviews) - Limitations (8 reviews) - Complex Setup (5 reviews) ### 16. [Artie](https://www.g2.com/products/artie-data/reviews) Artie is pioneering a new category of data infrastructure: fully managed CDC streaming. From capturing changes to merges, backfills, and observability — Artie automates the entire data ingestion lifecycle. By eliminating brittle orchestration, manual backfill logic, and silent failures, Artie delivers production-grade infrastructure you can trust — with no maintenance required. With strong, flexible pipelines as their backbone, teams at Substack, Alloy, and Wasserman are able to ship faster, launch new data products, and scale confidently — without rebuilding infrastructure every time their strategy evolves. **Average Rating:** 5.0/5.0 **Total Reviews:** 23 **How Do G2 Users Rate Artie?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.2/10) - **Consolidation:** 9.2/10 (Category avg: 8.9/10) - **Data Structuring:** 8.3/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 10.0/10 (Category avg: 8.8/10) **Who Is the Company Behind Artie?** - **Seller:** [Artie](https://www.g2.com/sellers/artie) - **Year Founded:** 2023 - **HQ Location:** San Francisco, California, United States - **LinkedIn® Page:** https://www.linkedin.com/company/artie-technologies (18 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Computer Software - **Company Size:** 65% Mid-Market, 30% Small-Business #### What Are Artie's Pros and Cons? **Pros:** - Customer Support (4 reviews) - Ease of Use (4 reviews) - Easy Setup (4 reviews) - Reliability (4 reviews) - Ease of Maintenance (3 reviews) **Cons:** - Difficult Setup (2 reviews) - API Issues (1 reviews) - API Limitations (1 reviews) - Complex Setup (1 reviews) - Data Limitations (1 reviews) ### 17. [Weld](https://www.g2.com/products/weld-weld/reviews) Weld delivers an ultra-fast, secure, and reliable way to move data from all your tools, applications, and databases into cloud data warehouses, such as Snowflake, BigQuery, and Databricks. Deploy data pipelines in minutes with connectors that adapt to schema changes, detect duplicates, self-heal on failure, and run without maintenance, so your data team can focus on insights, not infrastructure. **Average Rating:** 4.8/5.0 **Total Reviews:** 104 **How Do G2 Users Rate Weld?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.2/10) - **Consolidation:** 8.9/10 (Category avg: 8.9/10) - **Data Structuring:** 9.0/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 8.0/10 (Category avg: 8.8/10) **Who Is the Company Behind Weld?** - **Seller:** [Weld](https://www.g2.com/sellers/weld-733aad41-2e36-4f42-9349-7d847f41d873) - **Company Website:** https://weld.app/ - **Year Founded:** 2021 - **HQ Location:** Copenhagen, DK - **Twitter:** @WeldHQ (98 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/weldhq/ (91 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** CEO - **Top Industries:** Computer Software, Retail - **Company Size:** 59% Small-Business, 40% Mid-Market #### What Are Weld's Pros and Cons? **Pros:** - Ease of Use (16 reviews) - Customer Support (13 reviews) - Features (12 reviews) - Automation (11 reviews) - Data Integration (9 reviews) **Cons:** - Limited Connectors (8 reviews) - Feature Limitations (6 reviews) - Missing Features (5 reviews) - Limited Integrations (4 reviews) - Connectivity Issues (3 reviews) ### 18. [Airbyte](https://www.g2.com/products/airbyte/reviews) Airbyte is an open-source data integration and context layer platform for AI agents that allows companies to unite the data from hundreds of different applications, databases, and APIs. Airbyte can help companies move their data from one location to another automatically. Additionally, Airbyte agents can provide AI agents with the context that they require to complete specific tasks. It helps agents access, search, understand, and act on business data across hundred of tools. **Average Rating:** 4.4/5.0 **Total Reviews:** 76 **How Do G2 Users Rate Airbyte?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.2/10) - **Consolidation:** 7.6/10 (Category avg: 8.9/10) - **Data Structuring:** 7.3/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 7.3/10 (Category avg: 8.8/10) **Who Is the Company Behind Airbyte?** - **Seller:** [Airbyte](https://www.g2.com/sellers/airbyte) - **Year Founded:** 2020 - **HQ Location:** San Francisco, US - **Twitter:** @airbytehq (14,214 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/64265083 (122 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Financial Services - **Company Size:** 57% Small-Business, 36% Mid-Market #### What Are Airbyte's Pros and Cons? **Pros:** - Ease of Use (43 reviews) - Connectors Quantity (26 reviews) - Simple (15 reviews) - Setup Ease (12 reviews) - Quick Setup (11 reviews) **Cons:** - Poor Documentation (8 reviews) - Difficult Setup (7 reviews) - Error Reporting (6 reviews) - Expensive (5 reviews) - Limited Connectors (5 reviews) ### 19. [Peliqan](https://www.g2.com/products/peliqan/reviews) Peliqan.io is an all-in-one AI-first data integration and automation platform designed for business teams, scale-ups and consultants. Unlike traditional data tools that demand heavy engineering effort, Peliqan enables both business users and technical teams to connect, manage, and activate their data in one collaborative environment - without requiring a dedicated data engineer. With 250+ built-in connectors, Peliqan connects to databases, SaaS business applications (ERP, CRM, Accounting, HRM/ATS etc.), cloud storage, files and APIs as well as on-prem data sources. New connectors are available on demand within 5 business days. Peliqan offers one-click ELT pipelines to the built-in data warehouse, or you can bring your own data warehouse. Peliqan supports all major data warehouses. Thanks to Peliqan’s Excel add-in, business users and consultants can work with real-time data in Excel. Analysts and power users can use Peliqan’s advanced SQL editor with the support of an AI assistant to transform data and prepare business-ready data sets, which can be used in any BI tool such as Microsoft Power BI, Metabase, Tableau, Qlik, Looker etc. Users can also set up Reverse ETL flows. Developers can go even further with Peliqan’s low-code environment, with a built-in virtual AI Data Engineer, where they can: - Build & Publish interactive data apps - Automate writebacks into source systems - Publish API endpoints for data sharing - Implement custom pipelines - Build out internal AI Agents By empowering business users, analysts, consultants and developers, Peliqan dramatically reduces reliance on IT support and speeds up decision-making. Peliqan is not just an ELT data pipeline tool, it’s a complete solution for data orchestration, automation, and activation. Peliqan also acts as the data foundation for Agentic AI, ensuring that AI agents work with trusted, up-to-date 360° views of customers, products, orders, and more - at the speed of a cloud data warehouse. Peliqan’s data warehouse provides an AI-ready data layer out-of-the-box including: - Automatic vectorizing of structured and non-structured data for RAG (Retrieval-Augmented Generation) - Text-to-SQL - MCP Gateway In today’s landscape, a data warehouse is no longer just for BI - it’s the foundation for both BI and AI. With Peliqan.io, organizations can integrate, analyze, and activate their data seamlessly, empowering both humans and AI agents to make smarter, faster decisions. **Average Rating:** 4.8/5.0 **Total Reviews:** 74 **How Do G2 Users Rate Peliqan?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.2/10) - **Data Structuring:** 10.0/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 10.0/10 (Category avg: 8.8/10) **Who Is the Company Behind Peliqan?** - **Seller:** [Peliqan](https://www.g2.com/sellers/peliqan) - **Company Website:** https://peliqan.io - **Year Founded:** 2022 - **HQ Location:** Gent - **Twitter:** @Peliqan_io (9 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/peliqan-data (29 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 45% Mid-Market, 44% Small-Business #### What Are Peliqan's Pros and Cons? **Pros:** - Ease of Use (45 reviews) - Integrations (43 reviews) - Easy Integrations (37 reviews) - Connectors (36 reviews) - Data Management (36 reviews) **Cons:** - Learning Difficulty (18 reviews) - Required Technical Skills (12 reviews) - Feature Limitations (10 reviews) - Learning Curve (10 reviews) - Steep Learning Curve (9 reviews) ### 20. [PhantomBuster](https://www.g2.com/products/phantombuster/reviews) PhantomBuster opens a new era of lead generation. PhantomBuster is a technology company that has been disrupting data scraping and automation on the web since 2016. We offer lead generation solutions in the form of Phantoms to help you generate leads from all major networks & websites. With PhantomBuster, you can: • Scrape data from LinkedIn, Sales Navigator, Twitter, Instagram, Google Maps, and more • Automate actions to interact with your prospects • Enrich your CRM with clean data 24/7 • Build advanced workflows without writing a line of code Learn more over on https://phantombuster.com/ **Average Rating:** 4.4/5.0 **Total Reviews:** 137 **How Do G2 Users Rate PhantomBuster?** - **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 9.2/10) - **Consolidation:** 8.2/10 (Category avg: 8.9/10) - **Data Structuring:** 8.1/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 8.1/10 (Category avg: 8.8/10) **Who Is the Company Behind PhantomBuster?** - **Seller:** [Phantombuster](https://www.g2.com/sellers/phantombuster) - **Year Founded:** 2015 - **HQ Location:** Paris, France - **Twitter:** @officialpbuster (1,378 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/phantombuster-official/ (75 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Founder, CEO - **Top Industries:** Computer Software, Marketing and Advertising - **Company Size:** 73% Small-Business, 24% Mid-Market #### What Are PhantomBuster's Pros and Cons? **Pros:** - Automation (44 reviews) - Ease of Use (42 reviews) - Features (20 reviews) - LinkedIn Integration (18 reviews) - Easy Setup (14 reviews) **Cons:** - Learning Curve (15 reviews) - Pricing Issues (11 reviews) - Poor Customer Support (10 reviews) - Complex Setup (7 reviews) - Expensive (6 reviews) ### 21. [RudderStack](https://www.g2.com/products/rudderstack/reviews) RudderStack is the leading warehouse native CDP designed to help organizations efficiently collect, unify, and activate customer data across various channels. This end-to-end solution empowers data teams to streamline their data management processes, enabling businesses to leverage insights for growth and improved customer engagement. By integrating seamlessly with existing systems, RudderStack facilitates a comprehensive view of customer interactions, which is crucial for informed decision-making. Targeted primarily at data teams, RudderStack serves a diverse range of industries, including retail, finance, healthcare, media and technology. Its user-friendly interface and robust capabilities make it suitable for organizations looking to enhance their data strategy without the need for extensive technical expertise. Key features of RudderStack include its ability to integrate with various data sources and destinations, ensuring that organizations can centralize their customer data effectively. The platform supports a wide array of integrations with popular tools and services, allowing users to connect their existing tech stack effortlessly. Additionally, RudderStack offers advanced data transformation capabilities, enabling teams to clean and enrich their data before utilizing it for analytics or marketing campaigns. One of the standout benefits of RudderStack is its warehouse-native architecture, which allows businesses to store their customer data directly in their data warehouse. This approach not only enhances data security but also provides organizations with greater control over their data. By eliminating the need for third-party data storage solutions, RudderStack helps businesses reduce costs and improve data accessibility. Furthermore, the platform's flexibility allows for real-time data updates, ensuring that teams are always working with the most current information. Overall, RudderStack is a powerful tool for organizations aiming to harness the full potential of their customer data. With its comprehensive features and focus on unifying data from various sources, it stands out in the competitive landscape of customer data platforms, making it a valuable asset for businesses looking to drive growth and enhance customer experiences. Over 30,000 sites and apps run RudderStack including Crate & Barrel, Foot Locker, Glassdoor, Stripe, Allbirds, and more. RudderStack acquired Blendo in 2020 **Average Rating:** 4.7/5.0 **Total Reviews:** 51 **How Do G2 Users Rate RudderStack?** - **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.2/10) - **Consolidation:** 8.9/10 (Category avg: 8.9/10) - **Data Structuring:** 9.4/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 9.4/10 (Category avg: 8.8/10) **Who Is the Company Behind RudderStack?** - **Seller:** [RudderStack](https://www.g2.com/sellers/rudderstack) - **Company Website:** https://www.rudderstack.com - **Year Founded:** 2019 - **HQ Location:** San Francisco, California - **Twitter:** @RudderStack (1,695 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/rudderlabs/about (129 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 54% Mid-Market, 46% Small-Business #### What Are RudderStack's Pros and Cons? **Pros:** - Ease of Use (18 reviews) - Customer Support (16 reviews) - Easy Integration (11 reviews) - Easy Setup (9 reviews) - Easy Integrations (8 reviews) **Cons:** - Learning Curve (10 reviews) - Limited Customization (5 reviews) - Complexity (4 reviews) - Insufficient Guidance (4 reviews) - Onboarding Difficulties (4 reviews) ### 22. [Etleap](https://www.g2.com/products/etleap/reviews) Built for the modern data analyst, Etleap enables you to create data pipelines and data warehouses/lakes with a maintenance-free, no code ETL solution. With world-class technical support, you can reduce the time your engineers spend on ETL and deliver actionable data to analysts in minutes with pipelines that "just work". Etleap supports effortless integration from over 75 source connectors across databases, applications, files, and event streams. Founded in 2013 and headquartered in San Francisco, Etleap is your one-stop solution for managing your cloud-ETL needs. Interested in a 30-day free trial? Request a Demo today at https://etleap.com/demo/ **Average Rating:** 4.9/5.0 **Total Reviews:** 27 **How Do G2 Users Rate Etleap?** - **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 9.2/10) - **Consolidation:** 9.4/10 (Category avg: 8.9/10) - **Data Structuring:** 9.6/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 9.3/10 (Category avg: 8.8/10) **Who Is the Company Behind Etleap?** - **Seller:** [Etleap](https://www.g2.com/sellers/etleap) - **Year Founded:** 2013 - **HQ Location:** San Francisco, CA - **Twitter:** @etleap (149 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/etleap/ (26 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services - **Company Size:** 59% Mid-Market, 30% Enterprise #### What Are Etleap's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Automation (2 reviews) - Customer Support (2 reviews) - Features (2 reviews) - Intuitive (2 reviews) **Cons:** - Pipeline Issues (2 reviews) - Connection Issues (1 reviews) - Poor Navigation (1 reviews) ### 23. [Dataddo](https://www.g2.com/products/dataddo/reviews) Dataddo is the enterprise data integration platform built to eliminate the operational ownership risk of data movement. Acting as the connective backbone of your organization, we provide a fully managed connective layer that moves data from any SaaS, database, or file source to any destination - including AI agents. Our platform automatically handles API changes, schema drift, and sensitive data protection, providing full, granular visibility into every data flow across complex environments, including on-premise, hybrid, and cloud infrastructures. By treating data movement as mission-critical infrastructure rather than a project, Dataddo enables your engineering teams to deploy with total reliability, allowing them to focus on high-value AI outcomes instead of ongoing pipeline maintenance. **Average Rating:** 4.7/5.0 **Total Reviews:** 182 **How Do G2 Users Rate Dataddo?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.2/10) - **Consolidation:** 8.3/10 (Category avg: 8.9/10) - **Data Structuring:** 8.4/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 8.9/10 (Category avg: 8.8/10) **Who Is the Company Behind Dataddo?** - **Seller:** [Dataddo](https://www.g2.com/sellers/dataddo) - **Year Founded:** 2015 - **HQ Location:** Praha 7, CZ - **Twitter:** @dataddo (226 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/dataddo/ (30 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Marketing and Advertising, Computer Software - **Company Size:** 52% Small-Business, 40% Mid-Market #### What Are Dataddo's Pros and Cons? **Pros:** - Connectivity (2 reviews) - Customer Support (2 reviews) - Customization (2 reviews) - Data Management (2 reviews) - Ease of Use (2 reviews) **Cons:** - Complexity (1 reviews) - Complex Setup (1 reviews) - Learning Curve (1 reviews) - Learning Difficulty (1 reviews) - Limitations (1 reviews) ### 24. [Altair Monarch](https://www.g2.com/products/altair-monarch/reviews) An industry leader with over 30 years of experience in data discovery and transformation, Altair Monarch offers the fastest and easiest way to extract data from any source. Simple to construct workflows that require no coding enable users to collaborate as they transform difficult data such as PDFs spreadsheets, text files, as well as from big data and other structured sources, into rows and columns. Whether data is on premises or in the cloud, Altair can automate preparation tasks for expedited results and deliver data you trust for smart business decision making. To learn more about Altair Monarch or download a free version of its enterprise software, please click the links below. **Average Rating:** 4.5/5.0 **Total Reviews:** 91 **How Do G2 Users Rate Altair Monarch?** - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.2/10) - **Consolidation:** 9.3/10 (Category avg: 8.9/10) - **Data Structuring:** 9.6/10 (Category avg: 9.1/10) - **Diverse Extraction Points:** 9.5/10 (Category avg: 8.8/10) **Who Is the Company Behind Altair Monarch?** - **Seller:** [Altair](https://www.g2.com/sellers/altair-186799f5-3238-493f-b3ad-b8cac484afd7) - **Year Founded:** 1985 - **HQ Location:** Troy, MI - **LinkedIn® Page:** https://www.linkedin.com/company/8323/ (2,774 employees on LinkedIn®) - **Ownership:** NASDAQ:ALTR - **Total Revenue (USD mm):** $458 **Who Uses This Product?** - **Top Industries:** Financial Services, Hospital & Health Care - **Company Size:** 54% Enterprise, 27% Mid-Market ### 25. [Qlik Replicate](https://www.g2.com/products/qlik-replicate/reviews) Qlik Replicate (formerly Attunity Replicate) empowers organizations to accelerate data replication, ingestion and streaming across a wide variety of heterogeneous databases, data warehouses, and big data platforms. Used by hundreds of enterprises worldwide, Qlik Replicate moves your data easily, securely, and efficiently with minimal operational impact. Qlik Replicate provides automated, real-time, and universal data integration across all major source endpoints such as databases, systems like SAP, mainframes and Salesforce and delivers data to streaming systems, data warehouses, and data lakes. On-premises and in the cloud. Qlik Replicate is different and Enterprise-Ready. It moves data at high speed from source to target, simply and easily, and offers a single pane of glass monitoring of your data pipelines across the enterprise, all managed through a graphical interface that completely automates end-to-end replication. With our streamlined and agentless configuration, your administrators and data architects can quickly set up, control, and monitor bulk loads and real-time updates with automated change data capture (CDC) at scale. **Average Rating:** 4.3/5.0 **Total Reviews:** 95 **How Do G2 Users Rate Qlik Replicate?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.2/10) **Who Is the Company Behind Qlik Replicate?** - **Seller:** [Qlik](https://www.g2.com/sellers/qlik) - **Year Founded:** 1993 - **HQ Location:** Radnor, PA - **Twitter:** @qlik (64,130 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,551 employees on LinkedIn®) - **Phone:** 1 (888) 994-9854 **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Banking - **Company Size:** 42% Enterprise, 35% Mid-Market #### What Are Qlik Replicate's Pros and Cons? **Pros:** - Features (3 reviews) - Database Management (2 reviews) - Easy Integrations (2 reviews) - Scalability (2 reviews) - Automation (1 reviews) **Cons:** - Complex Setup (2 reviews) - Learning Difficulty (2 reviews) - Difficult Setup (1 reviews) - Expensive (1 reviews) - Inadequate Security (1 reviews) ## What Is Data Extraction Tools? [IT Management Software](https://www.g2.com/categories/it-management) ## What Software Categories Are Similar to Data Extraction Tools? - [ETL Tools](https://www.g2.com/categories/etl-tools) - [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) - [Data Replication Software](https://www.g2.com/categories/data-replication)