Dataworkz vs Fastbots

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

Priyansh Khodiyar's avatar
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 Dataworkz and Fastbots 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 Dataworkz and Fastbots, 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 Dataworkz if: you value free tier available for testing
  • Choose Fastbots if: you value best value for multi-llm access - $19.99/month for gpt-4, claude, and gemini (vs competitors at $50-100/month)

About Dataworkz

Dataworkz Landing Page Screenshot

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

About Fastbots

Fastbots Landing Page Screenshot

Fastbots is ai chatbot platform with 80+ integrations and white-label agency features. Fastbots is a multi-LLM chatbot platform with 80+ native integrations, visual flow builder, and comprehensive white-labeling for agencies. It offers intelligent routing across GPT-4, Claude, and Gemini with competitive pricing starting at $19.99/month, but lacks enterprise certifications and has inconsistent performance across different LLMs. Founded in 2023, headquartered in United States, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
96/100
Starting Price
$19.99/mo

Key Differences at a Glance

In terms of user ratings, Fastbots in overall satisfaction. From a cost perspective, pricing is comparable. The platforms also differ in their primary focus: RAG Platform versus Chatbot 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

logo of dataworkz
Dataworkz
logo of fastbots
Fastbots
logo of customGPT logo
CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
  • ✅ 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
  • ✅ Website crawling – Auto-extract content with configurable depth from URLs
  • ✅ Document upload – PDF, DOCX, TXT, CSV with audio/video transcription
  • ✅ Storage capacity – 400K characters (Free), 11M characters (Starter+)
  • ✅ Auto-retrain – Daily, weekly, monthly scheduled knowledge base updates
  • ⚠️ No native cloud storage – Missing Google Drive, Dropbox, Notion integrations
  • 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
  • ✅ 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
  • ✅ 80+ native integrations – No Zapier/Make dependency, saves $20-50/month
  • ✅ Messaging platforms – WhatsApp, Messenger, Instagram, Telegram, Slack, Discord
  • ✅ CRM & e-commerce – HubSpot, Salesforce, Shopify, WooCommerce with payment support
  • ✅ API access – Available Professional plan ($99/mo) and above
  • 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
  • ✅ 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
  • ✅ Multi-bot support – 1 (Free) to 20 (Business) bots
  • ✅ Lead capture – Forms with qualification scoring and CRM routing
  • ✅ Human handoff – Transfer to inbox or Intercom, Zendesk
  • ✅ Unified inbox – Manage all conversations from one dashboard
  • ✅ Intent detection – AI-powered with custom fallback responses
  • ✅ #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
  • ✅ 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
  • ✅ White-label – Remove branding from Starter plan ($19.99)
  • ✅ Custom domain – chat.yourdomain.com with SSL/TLS included
  • ✅ Widget customization – Colors, logo, position, size with custom CSS
  • ✅ Flow builder – Visual drag-and-drop conversation design
  • ✅ Multi-language – 95+ languages with automatic translation
  • 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
  • ✅ 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
  • ✅ OpenAI models – GPT-4, GPT-4 Turbo, GPT-3.5 Turbo
  • ✅ Multiple providers – Anthropic Claude 3, Google Gemini Pro 1.5, Meta Llama 3.1
  • ✅ Intelligent routing – Route by complexity: GPT-4 complex, GPT-3.5 simple
  • ✅ No API keys – Models included in subscription, no per-token charges
  • ⚠️ Performance varies – GPT-4 best, Claude/Gemini show inconsistencies
  • 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)
  • ✅ 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 – Available Professional ($99/mo) and above with webhooks
  • ✅ Custom JavaScript – Inject custom code for widget behavior
  • ⚠️ No official SDKs – Missing Python, JavaScript language-specific libraries
  • ⚠️ Basic documentation – No Swagger/OpenAPI spec, limited resources
  • 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
  • ✅ 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
  • ✅ Accuracy – ~85% with optimal GPT-4 model selection
  • ✅ Response time – Real-time streaming for faster perceived performance
  • ✅ Uptime – ~99.5% estimated from user feedback
  • ✅ Context retention – Conversation memory across messages within session
  • ⚠️ No SLA commitments – No published uptime guarantees
  • 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
Customization & Flexibility ( Behavior & Knowledge)
  • ✅ 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
  • ✅ Visual flow builder – Drag-and-drop conversation design
  • ✅ Tone and personality – Configurable via system prompts
  • ✅ Multi-language – 95+ languages with automatic translation
  • ✅ Knowledge control – Uploaded info, ChatGPT knowledge, live internet
  • ✅ Lead qualification – Score and route based on responses
  • 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
Pricing & Scalability
  • ⚠️ 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
  • Free plan – 1 bot, 100 messages/month, 400K characters
  • Starter ($19.99/mo) – 3 bots, 2K messages, all models, white-label
  • Professional ($99/mo) – 5 bots, 10K messages, API access
  • Business ($399/mo) – 20 bots, 40K messages, account manager
  • ✅ Best value – $19.99 GPT-4/Claude/Gemini vs $50-100 competitors
  • 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
  • ✅ 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
  • ✅ GDPR/CCPA compliance – European and California data protection
  • ✅ Data encryption – In transit and at rest with SSL/TLS
  • ⚠️ NO SOC 2/HIPAA – Unsuitable for enterprise or healthcare
  • ⚠️ NO ISO 27001/PCI DSS/FedRAMP – Missing enterprise certifications
  • 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
  • ✅ 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
  • ✅ Conversation analytics – Messages, users, response rates tracking
  • ✅ Sentiment analysis – Track positive, negative, neutral trends
  • ✅ Lead metrics – Capture rate, qualification, conversion tracking
  • ⚠️ Basic analytics – No predictive insights or AI recommendations
  • 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
  • ✅ 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
  • ✅ 4.9/5 customer support – Exceptional G2 rating for pricing tier
  • ✅ Email support – All plans including free tier
  • ✅ Priority support – Professional/Business plans with faster responses
  • ⚠️ No 24/7 support – Limited business hours on lower tiers
  • 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
Additional Considerations
  • ✅ 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
  • ⚠️ Free plan limits – 100 messages/month for testing only
  • ⚠️ Complex flows – Limited multi-step logic capabilities
  • ⚠️ Training investment – Requires time for mastery
  • ✅ Managed services – Available for large enterprise teams
  • ✅ Strategic advantage – Multi-LLM flexibility vs locked competitors
  • 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
No- Code Interface & Usability
  • ✅ 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
  • ✅ 4.8/5 ease of use – G2 rating with minimal learning curve
  • ✅ Quick setup – Users create bots in 15-30 minutes
  • ✅ Template library – Pre-built flows for common use cases
  • ✅ AI training wizard – Guided setup for knowledge base configuration
  • ✅ Preview mode – Test chatbot before publishing to channels
  • 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
Competitive Positioning
  • 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
  • ✅ Best for – SMBs, agencies, e-commerce prioritizing value
  • ✅ Key differentiator – Multi-LLM at $19.99 vs $50-100 competitors
  • ✅ 80+ integrations – Eliminates Zapier, saves $20-50/month
  • ⚠️ Not suitable – Regulated industries, enterprises, voice/IVR
  • 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
A I Models
  • ✅ 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 models – GPT-4, GPT-4 Turbo, GPT-3.5 Turbo
  • Multiple providers – Claude 3, Gemini Pro 1.5, Llama 3.1
  • Intelligent routing – Route by complexity for cost optimization
  • No API keys required – Models included in subscription
  • 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
  • ✅ 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
  • ✅ Website crawling – Auto-extract with depth control, sitemap support
  • ✅ Document upload – PDF, DOCX, TXT, CSV with 11M storage
  • ✅ Audio/video ingestion – Media transcription and extraction
  • ✅ Auto-retrain – Daily, weekly, monthly updates
  • ⚠️ Limitations – No cloud storage integration, 11M fills quickly
  • 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
  • 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
  • E-commerce support – 24/7 product queries, order tracking on Shopify/WooCommerce
  • Lead generation – Forms, qualification scoring, CRM sync
  • Multi-channel deployment – WhatsApp, Messenger, Instagram with unified inbox
  • ⚠️ NOT suitable – Regulated industries, voice/IVR use cases
  • 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
  • ✅ 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
  • ✅ GDPR/CCPA compliance – European and California data protection
  • ✅ Data encryption – In transit, at rest, SSL/TLS
  • ⚠️ NO SOC 2/HIPAA/ISO 27001 – Not for enterprise or healthcare
  • ⚠️ NO PCI DSS/FedRAMP – Not for payments or government
  • 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
  • ⚠️ 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
  • Free – 1 bot, 100 messages/month, 400K characters
  • Starter ($19.99/mo) – 3 bots, 2K messages, all models, white-label
  • Professional ($99/mo) – 5 bots, 10K messages, API access
  • Business ($399/mo) – 20 bots, 40K messages, account manager
  • ✅ Best value – $19.99 vs $50-100 competitors
  • 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
  • ✅ 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
  • ✅ 4.9/5 customer support – Exceptional G2 rating for tier
  • ✅ Email + live chat – All plans, business hours
  • ✅ Priority support – Professional/Business with faster responses
  • ⚠️ No 24/7 support – Limited hours, no SLA
  • 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
Limitations & Considerations
  • ⚠️ 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
  • ⚠️ No compliance certs – Missing SOC 2/HIPAA/ISO/PCI/FedRAMP
  • ⚠️ No cloud storage – Missing Google Drive/Dropbox/Notion
  • ⚠️ Storage limits – 11M characters fills quickly
  • ⚠️ Model variance – GPT-4 best, Claude/Gemini inconsistent
  • ⚠️ No voice/SMS/SDKs – Missing phone, text, developer libraries
  • 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
Core Agent Features
  • ✅ 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
  • AI agent transformation – Task-performing AI agents beyond chatbots
  • Zapier AI Actions – Automate workflows mid-conversation
  • In-chat actions – Check orders, book appointments, send emails
  • 95 languages – Automatic language support
  • 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
  • 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 – Conversational AI with RAG, not pure RAG-as-a-Service
  • ✅ Data sources – Website, documents, audio/video, sitemap
  • ✅ LLM options – OpenAI, Claude 3, Gemini Pro, Llama 3.1
  • ✅ Integration ecosystem – 80+ native, no Zapier dependency
  • ⚠️ API-first – Weak: REST API, no SDKs, basic docs
  • ⚠️ Compliance – GDPR/CCPA only, NO SOC 2/HIPAA/ISO
  • 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
Omnichannel Support
N/A
  • ✅ Website widget – Embeddable chat with full customization
  • ✅ Messaging platforms – WhatsApp, Messenger, Instagram, Telegram, Slack, Discord
  • ✅ API deployment – Build custom interfaces via REST API
  • ⚠️ No voice/IVR/SMS – Missing phone and text messaging capabilities
N/A

Ready to experience the CustomGPT difference?

Start Free Trial →

Final Thoughts

Final Verdict: Dataworkz vs Fastbots

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

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

When to Choose Fastbots

  • You value best value for multi-llm access - $19.99/month for gpt-4, claude, and gemini (vs competitors at $50-100/month)
  • 80+ native integrations eliminate need for Zapier/Make middleware (saves $20-50/month)
  • Exceptional customer support - 4.9/5 rating with fast response times

Best For: Best value for multi-LLM access - $19.99/month for GPT-4, Claude, and Gemini (vs competitors at $50-100/month)

Migration & Switching Considerations

Switching between Dataworkz and Fastbots 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

Dataworkz starts at custom pricing, while Fastbots begins at $19.99/month. 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

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

For most organizations, the decision between Dataworkz and Fastbots 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: February 16, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

Ready to Get Started with CustomGPT?

Join thousands of businesses that trust CustomGPT for their AI needs. Choose the path that works best for you.

Why Choose CustomGPT?

97% Accuracy

Industry-leading benchmarks

5-Min Setup

Get started instantly

24/7 Support

Expert help when you need it

Enterprise Ready

Scale with confidence

Trusted by leading companies worldwide

Fortune 500Fortune 500Fortune 500Fortune 500Fortune 500Fortune 500

CustomGPT

The most accurate RAG-as-a-Service API. Deliver production-ready reliable RAG applications faster. Benchmarked #1 in accuracy and hallucinations for fully managed RAG-as-a-Service API.

Get in touch
Contact Us

Join the Discussion

Loading comments...

Priyansh Khodiyar's avatar

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.

Watch: Understanding AI Tool Comparisons