Tool and career intelligence for data professionals

Know which data tools are worth learning

DataStackGuide analyzes a historical dataset of 1,957,416 job postings from 154,927 companies to show which tools employers mention, which skills appear together, and how demand differs by role.

Latest historical snapshot ยท June 30, 2026

Among the BI tools detected in June, Power BI appeared in 4,100 mentions, Tableau in 3,131, and Looker in 743. These are historical hiring-footprint signals, not active-job or product-quality rankings.

117 Tools tracked
1,957,416 Historical listings reviewed
154,927 Companies in historical data

See the weekly data brief before you subscribe

This native preview reflects Issue #4, published June 30, 2026. It combines a relevant market event with dated tool demand, the roles behind that demand, and a bounded interpretation.

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Data Stack Weekly Tue, Jun 30, 2026

Your weekly B2B data tool briefing

MotherDuck adds agentic data ingestion to its cloud analytics service

The issue connected the product update to changing data-pipeline workflows, then moved into the proprietary hiring-demand readout.

10,240 Salesforce mentions June 2026 snapshot
56,797 Classified roles Salesforce role mix
Dated snapshot Tools + roles Editorial context
ToolMentionsRelative demand
Salesforce 10,240
Power Bi 4,100
Tableau 3,131
Claude 2,490
Hubspot 2,294
Entry12%
Mid-Level61%
Senior15%
Director9%
VP+3%

The June issue showed that a demand leaderboard is more useful when it is paired with the roles behind the mentions. That context helps readers separate broad platform demand from the specific seniority and workflow signals worth investigating.

Read the source, then browse the archive

Examples found in the committed company breakdowns. Logos identify companies, not endorsements.

Amazon Rippling Adobe Apple

Research the Market by Category

List Building & Prospecting

Build targeted prospect lists from scratch. Search by industry, title, company size, and more.

47 tools

Data Enrichment

Tools that append firmographic, technographic, and contact data to your existing records. Fill the gaps in your CRM without manual research.

27 tools

Contact Databases

Access millions of verified B2B contacts. Direct dials, emails, and professional profiles.

27 tools

Technographic Data

Compare technographic and tech intent data tools, including TechTarget alternatives for teams that need install-base targeting, account intelligence, and software-category demand signals.

26 tools

Data Validation

Verify emails, phone numbers, and addresses before they enter your CRM. Catch bad data at the source.

25 tools

CRM Platforms

Customer relationship management platforms where your data lives. The system of record for sales and marketing.

19 tools

Data Orchestration

Move data between systems, sync CRM fields, and automate data workflows across your stack.

15 tools

Intent Data

Identify accounts actively researching solutions like yours. Know who's in-market before they fill out a form.

14 tools

ABM & Targeting

Account-based marketing platforms for targeting, advertising, and engaging high-value accounts.

12 tools

Data Quality & Governance

Monitor, score, and improve data quality across your systems. Prevent bad data from entering your pipeline.

11 tools

Data Cleaning & Hygiene

Deduplication, standardization, and formatting tools that keep your CRM data accurate and usable.

6 tools

Healthcare Data

NPI-verified provider data, practice intelligence, and healthcare-specific enrichment for medical sales teams.

2 tools

How we get our data

The latest committed export contains 1,957,416 historical job listings across 154,927 normalized company names. A tool mention is a hiring signal, not proof of an active license, implementation quality, or current open role.

Active listings, qualified historical listings, all reviewed listings, and listings with usable compensation are separate denominators. The public export currently supports the historical reviewed total. We do not present it as an active-jobs count.

Read the full methodology and limitations โ†’

Questions before you subscribe

Data Stack Weekly FAQ

Who is the briefing for?

It is for people whose job is making business data useful: data engineers, analytics engineers, analysts, BI and data-platform professionals, and systems specialists working across warehouses, pipelines, CRM, and activation tools. It is not aimed at academic data science or machine-learning research.

What is included?

Each issue combines a dated hiring-demand readout with tool relationships, roles, relevant data-industry events, and a concise explanation of what may be worth learning, researching, or using. The public archive shows the format before you subscribe.

How often does it arrive, and what does it cost?

Data Stack Weekly is free and scheduled for Tuesday delivery. A public issue can be delayed when a fresh data export is not ready; the date shown on each issue is the date to use when judging freshness.

Where does the data come from?

The market data comes from public job postings processed into normalized company, tool, role, location, and compensation fields. A tool mention is a hiring signal, not proof that an employer currently licenses that product.

What is the difference between current and historical data?

Current or active listings would require a verified active-listing filter. Historical data includes listings retained in the dated export. DataStackGuide labels the export date and does not describe its historical total as an active-jobs count.

Do employer logos imply an endorsement?

No. Logos identify companies represented in public job-posting breakdowns. They do not imply a customer relationship, partnership, sponsorship, or endorsement.

How do unsubscribe and privacy work?

Every delivered email must provide an unsubscribe path. You can leave at any time, and the signup form collects only the information described in the privacy policy. DataStackGuide does not claim a subscriber count that has not been verified.

From the founder

Your next data skill should not be a guess

I built DataStackGuide because it is hard to tell which tools are gaining practical relevance, which ones belong together, and which skills will travel with you to another role. Vendor pages and social feeds cannot answer that on their own. Job-posting data is imperfect, but it shows what employers ask people to know.

The free Tuesday brief turns that evidence into a useful next step for your learning plan or stack research. The directory is here when you need the pricing, comparison, integration, and trade-off details behind it.

Rome Thorndike, DataStackGuide