Arkham Pricing Overview

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Arkham has not provided pricing information for this product or service. This is common practice for software sellers and service providers. Contact Arkham to obtain current pricing.

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Arkham Alternatives Pricing

The following is a quick overview of editions offered by other Emerging AI Software

Alteryx Starter Edition	$3,000.001 User Per Year	For Small Teams That Need to Perform Basic Business Analytics Prepare and analyze data with code-free software on flat files. Essential drag-and-drop data preparation (Blend, Transform, Join, Aggregate, etc.) Create code-free data analytics workflows Share data analytics workflows Connect to file sources (.csv, .xlsx, json) Deployed in the cloud
Algolia Build	Free10000 search requests Per Month	Start for free - no card details needed 10K search requests/month 1M records included 10K AI Recommendation requests/month 10K crawls/month 1 Generative Experience Guide included 3 rules per index Personalization AI Dynamic Re-Ranking AI Synonyms Data Transformations Ecommerce & Third party Integrations Show More
Relay.app Free	Free	200 steps/mo 500 AI credits/mo 1 user Multi-step workflows Webhooks All features Show More

Various alternatives pricing & plans

Pricing information for the above various Arkham alternatives is supplied by the respective software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase any of these products must be conducted with the seller.

Arkham Pricing Reviews

(2)

Jadid Ricardo S.

Gerente de BI

Mid-Market (51-1000 emp.)

7/29/2025

"Suitable platform for the analysis, exploitation, and integration of AI in any sector."

5/5

What do you like best about Arkham?

An excellent platform for the demand of high volumes of information with an integrated AI suite where users can interact with the data quickly, flexibly, and effectively. The integration into the company was really fast, connectivity with different environments was very effective, and the deployment was immediate. A really simple implementation, with very fast and effective attention to internal users. Review collected by and hosted on G2.com.

What do you dislike about Arkham?

There is still no combination of graphics that could enrich the product. Review collected by and hosted on G2.com.

What problems is Arkham solving and how is that benefiting you?

Arkham helped us manage high volumes of information, predictions, and changes from very old implementations to regenerative AI technology without a huge time curve. The transition to this technology was really quick and painless, the connections were immediate, and by the second week, results were already being validated in production environments with real data. Review collected by and hosted on G2.com.

YAN G.

AI Applications Coordinator

Computer Software

Mid-Market (51-1000 emp.)

7/25/2025

"Centralized Platform for the Democratization of Big Data and AI"

4.5/5

What do you like best about Arkham?

Arkham.tech enables us to centralize operational data from multiple sources, transforming complex datasets into business-ready concepts. It consolidates scattered information into structured, comprehensible data that is ready for analysis and suitable for training advanced AI models. The team successfully translated most of our operational structure into a scalable cloud platform. The platform is accessible across profiles, empowering non-technical users to explore, analyze, and extract value from the data in an intuitive and efficient way.

Once the initial implementation was in place, adding new features and use cases became a smooth, incremental process. Arkham’s team is highly knowledgeable in their respective domains and has been consistently responsive. They offer valuable guidance and support to address evolving needs. Review collected by and hosted on G2.com.

What do you dislike about Arkham?

While the platform is powerful, it can struggle with highly fragmented data environments, as it is designed for organizations with more mature and structured processes. Additionally, some advanced AI features and visual components could benefit from greater customization, particularly for technical users. Certain capabilities remain locked at the backend level, limiting flexibility for more advanced use cases compared to traditional cloud platforms—which offer more control, but typically require specialized teams, increased complexity, and longer development times. That said, we have already seen improvements in these areas, and there is a robust roadmap in place to continue addressing these limitations. We expect the platform to keep evolving in this direction. Review collected by and hosted on G2.com.

What problems is Arkham solving and how is that benefiting you?

Arkham.tech solves the challenge of having operational data spread across multiple systems, which used to slow down reporting and create inconsistencies as our operations grew, often resulting in different versions of the same files or metrics. By centralizing all our data in one place, the platform has streamlined access, improved alignment across teams, and scaled with the business.

Manual, repetitive reports have been replaced with automated pipelines, and dashboards can be defined once and reused throughout the organization. TARS, Arkham’s AI assistant, is trained on our organization’s ontology, ensuring contextual understanding and allowing users to retrieve metrics through natural language. Technical users can work directly with SQL or high-performance notebooks.

The Delta Lake architecture allows us to process millions of records in seconds, eliminating the need to split data across files. Everything stays unified and ready for exploration at scale. Its high-performance design also supports training Arkham’s prebuilt AI models on large historical datasets, unlocking deeper insights. Review collected by and hosted on G2.com.