What are the main differences between Chatling and Dataworkz?

Chatling excels in Broadest AI model selection (32 models) among no-code platforms - includes GPT-5, Claude 4.5, Gemini 2.5 with per-block flexibility and Generous free tier: 100 AI credits, 2 chatbots, 8 models, 500K characters - meaningful testing capacity without credit card, scoring 85/100 in user ratings with N/A% accuracy. Dataworkz leads in Free tier available for testing and No-code approach simplifies development with 79/100 overall rating and 82% accuracy. Key technical difference: Chatling focuses on 32 AI models including GPT-5, GPT-4.5, o4/o3 Mini, Claude 4.5/4/3.7 Sonnet, Gemini 2.5 Flash/Pro - broadest selection among no-code platforms while Dataworkz emphasizes No-code RAG builder. Pricing differs by $25/month.

Which is better for enterprises: Chatling or Dataworkz?

Both platforms provide enterprise-grade security. HIPAA compliance varies - contact vendors for details. For scalability, both offer cloud-based deployment options. Chatling leads with 85/100 enterprise readiness score.

How much does Chatling cost vs Dataworkz?

Chatling starts at $25/monthly (freemium model), while Dataworkz begins at contact sales/monthly (freemium model). Both offer free tiers to get started, and free trials are available. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Dataworkz to Chatling?

Migration from Dataworkz to Chatling typically requires API-based data export/import, which Chatling provides. Chatling provides comprehensive API access good documentation for the migration process. Estimated migration time: 1-2 weeks for full deployment. Contact Chatling support for migration assistance and best practices.

What integrations do Chatling and Dataworkz support?

Chatling integrates with Zapier: 7,000+ apps with triggers (new contacts/conversations), actions (send messages), Website: WordPress, Shopify, Wix, Squarespace, Webflow, PrestaShop via JavaScript embed, WhatsApp Business API: native robust integration with media sharing, automated responses, HTTP Request blocks: custom API calls within visual builder for order lookups, CRM updates, CRITICAL GAPS: NO native Slack, Microsoft Teams, Telegram integrations - B2B messaging gap (7 integrations total). Dataworkz supports AWS, Azure, Google Cloud, OpenAI, Anthropic (10 integrations available). Both offer REST APIs for custom integrations. Dataworkz provides 43% more integrations, with webhook support for real-time data sync.

What are the main differences between Chatling and Dataworkz?

Chatling offers strong capabilities, scoring 0/100 in user ratings. Dataworkz provides unique strengths with 0/100 overall rating. Key technical difference: Chatling focuses on advanced features while Dataworkz emphasizes specialized capabilities.

Which is better for enterprises: Chatling or Dataworkz?

Both platforms provide enterprise-grade security. HIPAA compliance varies - contact vendors for details. For scalability, both offer cloud-based deployment options. Dataworkz leads with strong/100 enterprise readiness score.

How much does Chatling cost vs Dataworkz?

Chatling starts at custom pricing/month (subscription model), while Dataworkz begins at contact sales/month (subscription model). Both require paid plans. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Chatling to Dataworkz?

Migration from Chatling to Dataworkz typically requires manual data transfer since API access may be limited. Dataworkz offers standard documentation for the migration process. Estimated migration time: 1-2 days for cloud setup. Contact Dataworkz support for migration assistance and best practices.

What integrations do Chatling and Dataworkz support?

Chatling integrates with (multiple platforms). Dataworkz supports (various tools). API availability varies by plan. Integration coverage is comparable.

Chatling vs Dataworkz

Make an informed decision with our comprehensive comparison. Discover which RAG solution perfectly fits your needs.

More about Dataworkz More about Chatling Get Started Today

Priyansh KhodiyarDevRel at CustomGPT.ai

Fact checked and reviewed by Bill Cava

Published: 01.04.2025Updated: 25.04.2025

In this comprehensive guide, we compare Chatling and Dataworkz across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.

Overview

When choosing between Chatling and Dataworkz, understanding their unique strengths and architectural differences is crucial for making an informed decision. Both platforms serve the RAG (Retrieval-Augmented Generation) space but cater to different use cases and organizational needs.

Quick Decision Guide

Choose Chatling if: you value broadest ai model selection (32 models) among no-code platforms - includes gpt-5, claude 4.5, gemini 2.5 with per-block flexibility
Choose Dataworkz if: you value free tier available for testing

About Chatling

Chatling is no-code ai chatbot platform with 32-model llm selection. No-code AI chatbot platform with 32-model LLM selection and SMB-focused pricing starting at $25/month. Developed by Envision Labs Inc. (Ontario, Canada), Chatling balances visual builder simplicity with REST API v2 access and native WhatsApp integration. 4.8/5 G2 rating (53-63 reviews). Critical gaps: NO SOC 2/HIPAA certifications, NO native human handoff, NO official SDKs, NO source citations. Founded in Year not disclosed, headquartered in Ontario, Canada, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

85/100

Starting Price

$25/mo

About Dataworkz

Dataworkz is rag-as-a-service platform for rapid genai development. Dataworkz is a managed RAG platform that enables businesses to build, deploy, and scale GenAI applications using proprietary data with pre-built tools for data discovery, transformation, and monitoring. Founded in 2020, headquartered in Milpitas, CA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

79/100

Starting Price

Custom

Key Differences at a Glance

In terms of user ratings, Chatling in overall satisfaction. From a cost perspective, Dataworkz offers more competitive entry pricing. The platforms also differ in their primary focus: Chatbot Platform versus RAG Platform. These differences make each platform better suited for specific use cases and organizational requirements.

⚠️ What This Comparison Covers

We'll analyze features, pricing, performance benchmarks, security compliance, integration capabilities, and real-world use cases to help you determine which platform best fits your organization's needs. All data is independently verified from official documentation and third-party review platforms.

Detailed Feature Comparison

Chatling	Dataworkz	CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
File Formats – PDF, DOCX, plain text ONLY ❌ CRITICAL LIMITATION – NO CSV, Excel, or structured data format support Website Crawler – Up to 1,000 pages per domain with automatic extraction Sitemap Ingestion – Required for sites larger than 1,000 pages Help Desk Integration – Zendesk and Zoho for importing articles ❌ NO Cloud Storage – Google Drive, Dropbox, Notion, OneDrive require manual downloads ❌ NO YouTube Transcripts – Video content ingestion not supported Knowledge Base Limits – 500K chars (Free), 20M chars (Pro), 90M chars (Ultimate) ⚠️ Automatic Syncing – Daily, weekly, monthly schedules (NO real-time continuous sync)	✅ Point-and-click RAG builder – Mix SharePoint, Confluence, databases via visual pipeline [MongoDB Reference] ✅ Fine-grained control – Configure chunk sizes, embedding strategies, multiple sources simultaneously ✅ Multi-source blending – Combine documents and live database queries in same pipeline	1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archives Website crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public content Multimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-in Cloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-sync Knowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectors Massive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
Integrations & Channels
WhatsApp Business API – Native integration with full functionality, media sharing Website Embedding – Floating chat bubble, inline iframe, full-page deployment Zapier Integration – 7,000+ apps with triggers and actions CMS Plugins – WordPress, Shopify, Wix, Squarespace, Webflow, PrestaShop HTTP Request Actions – Custom API calls for order lookups, CRM updates ❌ CRITICAL GAPS – NO native Slack, Microsoft Teams, or Telegram integrations ❌ NO Mobile SDKs – App integration requires webview embedding	✅ API-first architecture – Surface agents via REST or GraphQL endpoints [MongoDB: API Approach] ⚠️ No prefab UI – Bring or build your own front-end chat widget ✅ Universal integration – Drop into any environment that makes HTTP calls	Website embedding – Lightweight JS widget or iframe with customizable positioning CMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support 5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce tools MCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, Windsurf OpenAI SDK compatible – Drop-in replacement for OpenAI API endpoints LiveChat + Slack – Native chat widgets with human handoff capabilities
Core Chatbot Features
AI Intents – Train on example phrases for recognition without exact matching Visual Flow Builder – No-code drag-and-drop conversation design HTTP Request Blocks – Real-time API integrations within flows Lead Capture – Built-in system variables for name, email, phone collection Multi-language Detection – 85+ languages with automatic browser-based preference ❌ CRITICAL LIMITATION – NO native human handoff, fallback collects contact info ⚠️ Third-Party Escalation – Requires Zapier to Zendesk/Freshdesk (adds latency) AI Agents (Beta) – Task-oriented assistants beyond simple chatbots	✅ Agentic architecture – Multi-step reasoning, tool use, dynamic decision-making [Agentic RAG] ✅ Intelligent routing – Agents decide knowledge base vs live DB vs API ✅ Complex workflows – Fetch structured data, retrieve docs, blend answers automatically	✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI ✅ Source citations – Every response includes clickable links to original documents ✅ 93% resolution rate – Handles queries autonomously, reducing human workload ✅ 92 languages – Native multilingual support without per-language config ✅ Lead capture – Built-in email collection, custom forms, real-time notifications ✅ Human handoff – Escalation with full conversation context preserved
Customization & Branding
Visual Customization – Primary/secondary colors, custom icons, header titles Custom Instructions – System prompt for persona, tone, behavior rules Temperature Control – 0-1 scale for creativity at global or per-block level Max Length Settings – Token limits to control response verbosity White-Labeling – Ultimate tier ($99/month) removes 'Powered by Chatling' ❌ CRITICAL LIMITATION – NO custom CSS injection for pixel-perfect brand matching	✅ 100% front-end control – No built-in UI means complete look and feel ownership ✅ Deep behavior tweaks – Customize prompt templates and scenario configs extensively ✅ Multiple personas – Create unlimited agent personas with different rule sets	Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost 2-minute setup – No-code wizard with drag-and-drop interface Persona customization – Control AI personality, tone, response style via pre-prompts Visual theme editor – Real-time preview of branding changes Domain allowlisting – Restrict embedding to approved sites only
L L M Model Options
Free Tier (8 Models) – GPT-4.1, GPT-4o, GPT-4o Mini, Claude 4 Sonnet, Claude 3.5 Haiku Paid Tiers (32 Total) – GPT-5, GPT-5 Mini, o4 Mini, Claude 4.5 Sonnet, Gemini 2.5 Pro/Flash ✅ Model Selection Flexibility – Configure globally OR per AI response block Temperature & Max Tokens – Exposed at both global and per-block levels ⚠️ NO Automatic Routing – Model selection is manual, no complexity-based switching Credit System – 1 credit per AI response on GPT-4o, monthly reset (no carryover) ✅ Competitive Advantage – 32-model roster exceeds most no-code platforms	✅ Model-agnostic – Plug in GPT-4, Claude, open-source models freely ✅ Full stack control – Choose embedding model, vector DB, orchestration logic ⚠️ More setup required – Power and flexibility trade-off vs turnkey solutions	GPT-5.1 models – Latest thinking models (Optimal & Smart variants) GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o available Claude 4.5 – Anthropic's Opus available for Enterprise Auto model routing – Balances cost/performance automatically Zero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
REST API v2 – https://api.chatling.ai/v2/ with Bearer token auth Rate Limit – 300 requests/minute across all endpoints Chatbots Endpoint – Create, duplicate, list, retrieve, update settings AI Endpoint – List models, languages, chat with knowledge base Knowledge Base Endpoint – Add links/text/FAQs, resync, delete sources Conversations Endpoint – List, retrieve, update, access message history Conversation Context Persistence – conversation_id for multi-turn dialogues ❌ CRITICAL GAPS – NO official JavaScript/Python SDKs, NO Postman collections, NO OpenAPI specs ⚠️ Developer Burden – Must build own HTTP clients without SDK support	✅ No-code pipeline builder – Design pipelines visually, deploy to single API endpoint ✅ Sandbox testing – Rapid iteration and tweaking before production launch ⚠️ No official SDK – REST/GraphQL integration straightforward but no client libraries	REST API – Full-featured for agents, projects, data ingestion, chat queries Python SDK – Open-source `customgpt-client` with full API coverage Postman collections – Pre-built requests for rapid prototyping Webhooks – Real-time event notifications for conversations and leads OpenAI compatible – Use existing OpenAI SDK code with minimal changes
Performance & Accuracy
Customer Testimonial – 45% of support questions resolved, 1,500+ email reduction ✅ Reliability Praised – "Chatbots have never gone down" in G2 reviews Large-Scale Deployment – 4,000+ website URLs with "reliable answers" ✅ 5-Minute Setup Time – Consistently praised rapid deployment RAG Grounding – Responses grounded in uploaded content ❌ NO Source Citations – Responses don't show which documents informed answers ❌ NO Confidence Scoring – No hallucination detection mechanisms documented ❌ NO Published Benchmarks – Performance claims rely on testimonials vs metrics	✅ Hybrid retrieval – Mix semantic, lexical, or graph search for sharper context ✅ Threshold tuning – Balance precision vs recall for your domain requirements ✅ Enterprise scaling – Vector DBs and stores handle high-volume workloads efficiently	Sub-second responses – Optimized RAG with vector search and multi-layer caching Benchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants API Anti-hallucination tech – Responses grounded only in your provided content OpenGraph citations – Rich visual cards with titles, descriptions, images 99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Pricing & Scalability
Free Tier – $0, 100 AI credits, 2 chatbots, 1 seat, 500K characters, 8 models Pro Tier – $25/month, 3,000 credits, 5 chatbots, 2 seats, 20M characters, 32 models Ultimate Tier – $99/month, 12K-20K credits, 35 chatbots, 6 seats, 90M characters ✅ Unlimited Non-AI Chats – All tiers include unlimited non-AI conversations 14-Day Money-Back Guarantee – Risk-free testing for initial purchases ✅ Competitive SMB Positioning – $25/month vs $700/month (Progress), $30K+/year (Drift) ⚠️ Credit System – Monthly reset with no carryover requires usage planning	⚠️ Custom contracts only – No public tiers, typically usage-based enterprise pricing ✅ Massive scalability – Leverage your own infrastructure for huge data and concurrency ✅ Best for large orgs – Ideal for flexible architecture and pricing at scale	Standard: $99/mo – 60M words, 10 bots Premium: $449/mo – 300M words, 100 bots Auto-scaling – Managed cloud scales with demand Flat rates – No per-query charges
Security & Privacy
GDPR Compliant – EU data residency (DigitalOcean Amsterdam) NO Training on Customer Data – OpenAI, Anthropic, Google agreements explicit Trust Center – trust.chatling.ai with security docs and sub-processor lists ❌ CRITICAL GAPS FOR ENTERPRISE – NO SOC 2, HIPAA, or ISO 27001 certification ❌ NO SSO/SAML Support – Enterprise identity provider integration absent ❌ NO IP Restriction Capabilities – Cannot limit access to specific IP ranges ❌ NO Audit Logs – Beyond basic analytics, compliance tracking limited ⚠️ Disqualifying for Regulated Industries – Finance, healthcare, government blocked	✅ Enterprise-grade security – Encryption, compliance, access controls included [MongoDB: Enterprise Security] ✅ Data sovereignty – Keep data in your environment with bring-your-own infrastructure ✅ Single-tenant VPC – Supports strict isolation for regulatory compliance requirements	SOC 2 Type II + GDPR – Third-party audited compliance Encryption – 256-bit AES at rest, SSL/TLS in transit Access controls – RBAC, 2FA, SSO, domain allowlisting Data isolation – Never trains on your data
Observability & Monitoring
Dashboard Metrics – Conversation counts, new leads, peak chat times heatmap User Satisfaction Ratings – Helpful/unhelpful tracking with analytics percentages Real-Time Monitoring – Live chatbot interaction visibility API Data Extraction – Conversations/contacts via REST API for analysis ⚠️ CRITICAL LIMITATIONS – Export functionality minimal or in development ❌ NO Custom Report Builder – Users work with built-in dashboard views only	✅ Pipeline-stage monitoring – Track chunking, embeddings, queries with detailed visibility [MongoDB: Lifecycle Tools] ✅ Step-by-step debugging – See which tools agent used and why decisions made ✅ External logging integration – Hooks for logging systems and A/B testing capabilities	Real-time dashboard – Query volumes, token usage, response times Customer Intelligence – User behavior patterns, popular queries, knowledge gaps Conversation analytics – Full transcripts, resolution rates, common questions Export capabilities – API export to BI tools and data warehouses
Support & Ecosystem
Email-Only Support – support@chatling.ai, NO live chat or phone ✅ G2 Support Rating – 9.2/10 quality despite response time concerns Comprehensive Documentation – docs.chatling.ai with getting started guides Video Tutorials – Supplement written documentation Action Tutorial Library – Practical HTTP request examples ❌ MISSING ECOSYSTEM – NO community forum, Discord, Slack workspace, or status page ❌ NO Public Roadmap – Feature development transparency limited	✅ Tailored onboarding – Enterprise-focused with solution engineering for large customers ✅ MongoDB partnership – Tight integrations with Atlas Vector Search and enterprise support [Case Study] ⚠️ Limited public forums – Direct engineer-to-engineer support vs broad community resources	Comprehensive docs – Tutorials, cookbooks, API references Email + in-app support – Under 24hr response time Premium support – Dedicated account managers for Premium/Enterprise Open-source SDK – Python SDK, Postman, GitHub examples 5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
No- Code Interface & Usability
✅ 5-Minute Setup Time – Consistently praised by G2 reviewers Visual Flow Builder – Drag-and-drop conversation design without coding AI Intents Training – Example phrase interface for configuration Knowledge Base Management – Upload files, add text via simple dashboard Analytics Dashboard – Visual metrics with heatmaps accessible to business users ⚠️ G2 CRITICISM – Single flow architecture unwieldy for complex bots ❌ MISSING FEATURES – Cannot import/export flows for version control	✅ Low-code builder – Set up pipelines, chunking, data sources without heavy coding ⚠️ Technical knowledge needed – Understanding embeddings and prompts helps significantly ⚠️ No end-user UI – You build front-end while Dataworkz handles back-end logic	2-minute deployment – Fastest time-to-value in the industry Wizard interface – Step-by-step with visual previews Drag-and-drop – Upload files, paste URLs, connect cloud storage In-browser testing – Test before deploying to production Zero learning curve – Productive on day one
32- Model L L M Selection
✅ Broadest Selection Among No-Code Platforms – 32 total models vs typical 3-5 Latest Models Included – GPT-5, GPT-4.5, o4/o3 Mini, Claude 4.5, Gemini 2.5 ✅ Free Tier Access – 8 models available without payment Hybrid Deployment Capability – Per-block model selection enables cost optimization ✅ Competitive Advantage – Exceeds CustomGPT, Drift, Yellow.ai in model variety ⚠️ Manual Selection Required – NO automatic routing based on query complexity	N/A	N/A
Whats App Native Integration
WhatsApp Business API – Native robust integration vs third-party workarounds Full Chatbot Functionality – All features work on WhatsApp including AI, lead capture Media Sharing – Images, documents, voice messages supported ✅ Consumer-Facing Strength – Strong for e-commerce, SMBs, global markets ✅ Competitive Gap – Progress, CustomGPT lack native WhatsApp integration ⚠️ B2B Messaging Gap – WhatsApp doesn't offset missing Slack/Teams	N/A	N/A
Competitive Positioning
✅ Market Position – SMB-focused no-code chatbot with 4.8/5 G2 rating ✅ Pricing Advantage – $25/month vs $700/month (Progress), 10-100x cheaper ✅ 32-Model Differentiator – Broadest LLM selection among no-code platforms ✅ Free Tier Generosity – 100 credits, 2 chatbots, 8 models without credit card ✅ WhatsApp Strength – Native integration for consumer-facing businesses ❌ Enterprise Gaps – NO SOC 2/HIPAA/ISO 27001, NO SSO, NO human handoff ❌ B2B Messaging Gaps – NO native Slack/Teams/Telegram ❌ Developer Limitations – NO official SDKs, NO source citations, NO confidence scoring	Market position – Enterprise agentic RAG platform with point-and-click pipeline builder Target customers – Large enterprises with LLMOps expertise building complex AI agents Key competitors – Deepset Cloud, LangChain/LangSmith, Haystack, Vectara.ai, custom RAG solutions Core advantages – Model-agnostic, agentic architecture, graph retrieval, no-code builder, MongoDB partnership Best for – High-volume complex use cases with existing infrastructure and orchestration needs	Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox. Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricing vs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% faster vs Botsonic/Chatbase – More file formats, source citations, no hidden costs vs LangChain – Production-ready in 2 min vs weeks of development
Limitations & Considerations
⚠️ Single Flow Management – Unwieldy for complex bots without folder organization ❌ NO Live Chat Support – Blended human-AI support unavailable without Zapier ⚠️ Separate Bots Per Channel – Need separate for website vs WhatsApp ⚠️ Barebones Analytics – Limited compared to enterprise platforms ❌ NO Flow Import/Export – Cannot copy or duplicate for version control ❌ Screen Reader Accessibility – Does not support blind users ⚠️ Setup Time Investment – Configuring tone and knowledge base not plug-and-play ⚠️ Integration Gaps – Heavy reliance on Zapier limits functionality ✅ Best for Small-to-Medium Bots – Not designed for massive enterprise projects	⚠️ No built-in UI – API-first platform requires you to build front-end interface ⚠️ Technical expertise required – Best for LLMOps teams understanding embeddings, prompts, RAG architecture ⚠️ Custom pricing only – No transparent public tiers, requires sales engagement for quotes ⚠️ Enterprise focus – May be overkill for small teams or simple chatbot cases ⚠️ Infrastructure requirements – BYOI model needs existing cloud infrastructure and data engineering capabilities	Managed service – Less control over RAG pipeline vs build-your-own Model selection – OpenAI + Anthropic only; no Cohere, AI21, open-source Real-time data – Requires re-indexing; not ideal for live inventory/prices Enterprise features – Custom SSO only on Enterprise plan
Customization & Flexibility ( Behavior & Knowledge)
N/A	✅ Multi-step reasoning – Scenario logic, tool calls, unified agent workflows ✅ Data blending – Combine structured APIs/DBs with unstructured docs seamlessly ✅ Full retrieval control – Customize chunking, metadata, and retrieval algorithms completely	Live content updates – Add/remove content with automatic re-indexing System prompts – Shape agent behavior and voice through instructions Multi-agent support – Different bots for different teams Smart defaults – No ML expertise required for custom behavior
Additional Considerations
N/A	✅ Graph-optimized retrieval – Specialized for interlinked docs with relationships [MongoDB Reference] ✅ AI orchestration layer – Call APIs or trigger actions as part of answers ⚠️ Requires LLMOps expertise – Best for teams wanting deep customization, not prefab chatbots ✅ Tailor-made agents – Focuses on custom AI agents vs out-of-box chat tool	Time-to-value – 2-minute deployment vs weeks with DIY Always current – Auto-updates to latest GPT models Proven scale – 6,000+ organizations, millions of queries Multi-LLM – OpenAI + Claude reduces vendor lock-in
A I Models
N/A	✅ Model-agnostic – GPT-4, Claude, Llama, open-source models fully supported ✅ Public APIs – AWS Bedrock and OpenAI API integration for managed access ✅ Private hosting – Host open-source models in your VPC for sovereignty ✅ Composable stack – Choose embedding, vector DB, chunking, LLM independently ✅ No lock-in – Switch models without platform migration for cost or compliance	OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 series Anthropic – Claude 4.5 Opus/Sonnet (Enterprise) Auto-routing – Intelligent model selection for cost/performance Managed – No API keys or fine-tuning required
R A G Capabilities
N/A	✅ Advanced pipeline builder – Point-and-click RAG configuration with fine-grained control RAG-as-a-Service ✅ Agentic architecture – Multi-step tasks, external tool calls, adaptive reasoning [Agentic RAG] ✅ Hybrid retrieval – Semantic, lexical, graph search for accuracy and context ✅ Graph-optimized – Relationship-aware context for interlinked documents [Graph Capabilities] ✅ Dynamic tool selection – Agents choose knowledge base, DB, or API automatically	GPT-4 + RAG – Outperforms OpenAI in independent benchmarks Anti-hallucination – Responses grounded in your content only Automatic citations – Clickable source links in every response Sub-second latency – Optimized vector search and caching Scale to 300M words – No performance degradation at scale
Use Cases
N/A	Retail – Product recommendations, inventory queries with structured/unstructured data blending [Retail Case Study] Banking – Regulatory compliance, risk assessment with enterprise security and auditability Healthcare – Clinical decision support, medical knowledge bases with HIPAA compliance Enterprise knowledge – Documentation, policy queries with multi-source integration (SharePoint, Confluence, databases) Customer support – Multi-step troubleshooting, automated responses with tool calling and APIs Legal – Contract analysis, regulatory research with audit trails and traceability	Customer support – 24/7 AI handling common queries with citations Internal knowledge – HR policies, onboarding, technical docs Sales enablement – Product info, lead qualification, education Documentation – Help centers, FAQs with auto-crawling E-commerce – Product recommendations, order assistance
Security & Compliance
N/A	✅ Enterprise-grade – Encryption, compliance, access controls for large organizations [Security Features] ✅ Audit trails – Every interaction, tool call, data access audited for transparency ✅ Data sovereignty – Bring-your-own-infrastructure keeps data in your environment completely ✅ Compliance ready – Architecture supports GDPR, HIPAA, SOC 2 through flexible deployment	SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance 256-bit AES encryption – Data at rest; SSL/TLS in transit SSO + 2FA + RBAC – Enterprise access controls with role-based permissions Data isolation – Never trains on customer data Domain allowlisting – Restrict chatbot to approved domains
Pricing & Plans
N/A	⚠️ Custom contracts – Tailored pricing, no public tiers, requires sales engagement ✅ Credit-based usage – 2M rows per credit for data movement, usage-based model ✅ AWS Marketplace – Available for streamlined enterprise procurement [AWS Marketplace] ✅ BYOI savings – Use existing infrastructure (databases, vector stores) to reduce costs	Standard: $99/mo – 10 chatbots, 60M words, 5K items/bot Premium: $449/mo – 100 chatbots, 300M words, 20K items/bot Enterprise: Custom – SSO, dedicated support, custom SLAs 7-day free trial – Full Standard access, no charges Flat-rate pricing – No per-query charges, no hidden costs
Support & Documentation
N/A	✅ Enterprise onboarding – Tailored solution engineering for large organizations with complex needs ✅ Direct engineering support – Engineer-to-engineer technical implementation and optimization assistance ✅ Product documentation – Platform setup, pipeline config, agentic workflows covered [Product Docs] ✅ MongoDB partnership – Joint support for Atlas Vector Search and enterprise deployments	Documentation hub – Docs, tutorials, API references Support channels – Email, in-app chat, dedicated managers (Premium+) Open-source – Python SDK, Postman, GitHub examples Community – User community + 5,000 Zapier integrations
Core Agent Features
N/A	✅ Agentic RAG – Multi-step reasoning, external tools, adaptive context-based operation [Agentic Capabilities] ✅ Agent memory – Conversational history, user preferences, business context via RAG pipelines ✅ DAG task execution – Complex tasks decomposed into interdependent sub-tasks with parallelization [Multi-Step Reasoning] ✅ LLM Compiler – Identifies optimal sub-task sequence with parallel execution when possible ✅ External API integration – Create CRM leads, support tickets, trigger actions dynamically [Agent Builder] ✅ Continuous learning – Agent frameworks support context switching and adaptation over time	Custom AI Agents – Autonomous GPT-4/Claude agents for business tasks Multi-Agent Systems – Specialized agents for support, sales, knowledge Memory & Context – Persistent conversation history across sessions Tool Integration – Webhooks + 5,000 Zapier apps for automation Continuous Learning – Auto re-indexing without manual retraining
R A G-as-a- Service Assessment
N/A	Platform type – TRUE RAG-AS-A-SERVICE: Enterprise agentic orchestration layer for custom agents Core architecture – Model-agnostic with full control over LLM, embeddings, vector DB, chunking Agentic focus – Autonomous agents with multi-step reasoning, not simple Q&A chatbots [Agentic RAG] Developer experience – Point-and-click builder, sandbox testing, REST/GraphQL API, agent builder UI Target market – Large enterprises with data teams building sophisticated agents requiring deep customization RAG differentiation – Graph retrieval, hybrid search, threshold tuning, agentic DAG execution	Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructure API-first – REST API, Python SDK, OpenAI compatibility, MCP Server No-code option – 2-minute wizard deployment for non-developers Hybrid positioning – Serves both dev teams (APIs) and business users (no-code) Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing

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Final Thoughts

Final Verdict: Chatling vs Dataworkz

After analyzing features, pricing, performance, and user feedback, both Chatling and Dataworkz are capable platforms that serve different market segments and use cases effectively.

When to Choose Chatling

You value broadest ai model selection (32 models) among no-code platforms - includes gpt-5, claude 4.5, gemini 2.5 with per-block flexibility
Generous free tier: 100 AI credits, 2 chatbots, 8 models, 500K characters - meaningful testing capacity without credit card
Unlimited non-AI chats across all tiers reduces usage anxiety and cost unpredictability

Best For: Broadest AI model selection (32 models) among no-code platforms - includes GPT-5, Claude 4.5, Gemini 2.5 with per-block flexibility

When to Choose Dataworkz

You value free tier available for testing
No-code approach simplifies development
Flexible LLM and vector database choices

Best For: Free tier available for testing

Migration & Switching Considerations

Switching between Chatling and Dataworkz requires careful planning. Consider data export capabilities, API compatibility, and integration complexity. Both platforms offer migration support, but expect 2-4 weeks for complete transition including testing and team training.

Pricing Comparison Summary

Chatling starts at $25/month, while Dataworkz begins at custom pricing. Total cost of ownership should factor in implementation time, training requirements, API usage fees, and ongoing support. Enterprise deployments typically see annual costs ranging from $10,000 to $500,000+ depending on scale and requirements.

Our Recommendation Process

Start with a free trial - Both platforms offer trial periods to test with your actual data
Define success metrics - Response accuracy, latency, user satisfaction, cost per query
Test with real use cases - Don't rely on generic demos; use your production data
Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
Check vendor stability - Review roadmap transparency, update frequency, and support quality

For most organizations, the decision between Chatling and Dataworkz comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.

📚 Next Steps

Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.

• Review: Check the detailed feature comparison table above
• Test: Sign up for free trials and test with real queries
• Calculate: Estimate your monthly costs based on expected usage
• Decide: Choose the platform that best aligns with your requirements

Last updated: January 23, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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Priyansh Khodiyar

DevRel at CustomGPT.ai. Passionate about AI and its applications. Here to help you navigate the world of AI tools and make informed decisions for your business.

Chatling vs Dataworkz